On successful Completion of the course you will be able to accomplish the following:

• Describe key concepts of Data Science
• Understand Open Source Data Science tools including R and Python
• Understand Open Source Data Science Tools and Platforms
• Understand Commercial Data Science tools including Microsoft Azure Machine Learning
• Prepare data for predictive modelling
• Visualize and explore data
• Develop Data Science solutions using R
• Develop R based Data Science solutions using Microsoft Azure ML
• Develop Data Science solutions using Microsoft Azure ML Studio
• Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FND-DSCR-CBT

On successful Completion of the course you will be able to accomplish the following:

• Describe key concepts of Data Science
• Understand Open Source Data Science tools including R and Python
• Understand Open Source Data Science Tools and Platforms
• Understand Commercial Data Science tools including Microsoft Azure Machine Learning
• Prepare data for predictive modelling
• Visualize and explore data
• Develop Data Science solutions using Python
• Develop Python based Data Science solutions using Microsoft Azure ML
• Develop Data Science solutions using Microsoft Azure ML Studio
• Create supervised and unsupervised Data Science models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDN-DSPYTH-CBT

On successful Completion of the Foundations of Data Science with Microsoft Azure ML Self-Study eLearning course you will be able to:

• Describe key concepts of Data Science
• Understand Open Source Data Science tools including R and Python
• Understand Open Source Data Science Tools and Platforms
• Understand Commercial Data Science tools including Microsoft Azure Machine Learning
• Prepare data for predictive modelling
• Visualize and explore data
• Develop Data Science solutions using Python
• Develop R based Data Science solutions using Microsoft Azure ML
• Develop Machine learning solutions using Microsoft Azure ML Studio
• Create supervised and unsupervised Data Science models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDN-DSMSAZ-CBT

On successful Completion of the Foundations of Machine Learning with Azure ML course you will be able to:

• Describe key concepts of machine learning
• Understand Open Source Machine learning tools including Python
• Understand Open Source Machine learning Tools and Platforms
• Understand Commercial Machine learning tools including Microsoft Azure Machine Learning
• Prepare data for predictive modelling
• Visualize and explore data
• Develop Machine learning solutions using Python
• Develop R and Python Machine learning solutions using Microsoft Azure ML
• Develop Machine learning solutions using Microsoft AzureML Studio
• Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDN-MLMSAZ-CBT

On successful Completion of the Foundations of Machine Learning with Python course you will be able to:

• Describe key concepts of machine learning
• Understand Open Source Machine learning tools including Python
• Understand Open Source Machine learning Tools and Platforms
• Understand Commercial Machine learning tools including Microsoft Azure Machine Learning
• Prepare data for predictive modelling
• Visualize and explore data
• Develop Machine learning solutions using Python
• Develop Python Machine learning solutions using Microsoft Azure ML
• Develop Machine learning solutions using Microsoft Azure ML Studio
• Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDN-MLPYTH-CBT

On successful Completion of the Foundations of Machine Learning with R course you will be able to:

• Describe key concepts of machine learning
• Understand Open Source Machine learning tools including R
• Understand Open Source Machine learning Tools and Platforms
• Understand Commercial Machine learning tools including Microsoft Azure Machine Learning
• Develop Machine learning solutions using R
• Develop R Machine learning solutions using Microsoft Azure ML
• Develop Machine learning solutions using Microsoft Azure ML Studio
• Prepare data for predictive modelling
• Visualize and explore data
• Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDN-MLPYTH-CBT

On successful Completion of the Foundations of Data Science and Machine Learning course you will be able to:

• Describe key concepts of data science and machine learning
• Describe key concepts of machine learning
• Understand Open Source Machine learning tools including R and Python
• Understand Open Source Machine learning Platforms
• Understand Commercial Machine learning tools including Microsoft Azure Machine Learning
• Prepare data for predictive modelling
• Visualize and explore data
• Develop Machine learning solutions using R and Python
• Develop R Machine learning solutions using Microsoft AzureML
• Develop Machine learning solutions using Microsoft AzureML Studio
• Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDN-DSML-CBT

On successful Completion of the Fundamentals of Data Science and Machine Learning with Azure ML course you will be able to:

• Describe key concepts of data science and machine learning
• Understand Open Source Machine learning tools including KNIME, R and Python
• Understand Open Source Machine learning Platforms
• Understand Commercial Machine learning tools including Oracle Advanced Analytics and Microsoft Azure Machine Learning
• Develop Machine learning solutions using R and Python
• Develop R Machine learning solutions using Microsoft Azure ML
• Develop Machine learning solutions using Microsoft Azure ML Studio
• Prepare data for predictive modelling
• Visualize and explore data
• Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDM-DSML-CBT

On successful Completion of the Machine Learning Fundamentals course you will be able to:

• Describe key concepts of machine learning
• Understand Open Source Machine learning tools including R, KNIME and Python
• Understand Open Source Machine learning Platforms
• Understand Commercial Machine learning tools including IBM SPSS, Oracle Analytics, Microsoft Azure ML
• Visualize and explore data
• Create supervised and unsupervised machine learning models
• Develop Machine learning solutions using R and Python
• Develop R Machine learning solutions using Microsoft Azure ML
• Develop Machine learning solutions using Microsoft Azure ML Studio
• Prepare data for predictive modelling

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: FDM-ML-CBT

On successful Completion of the Data Science and Machine Learning Bootcamp course you will be able to:

• Describe key concepts of data science and machine learning
• Describe key concepts of machine learning
• Understand Open Source Data Science tools and Platforms including Spark, R and Python
• Understand Open Source Machine learning Tools and Platforms
• Understand Commercial Data Science tools including Microsoft Azure ML Studio and Oracle Advanced Analytics
• Learn to Install and Configure R and Python
• Learn to Configure Microsoft Azure ML for R and Python Development
• Prepare data for predictive modelling
• Visualize and explore data
• Create supervised and unsupervised machine learning models
• Develop Data Science solutions using R on Azure ML Platform
• Develop Machine learning solutions using R and Python
• Develop Machine learning solutions Microsoft Azure Notebooks
• Develop Data Science solutions using Microsoft Azure ML Studio

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: DSML-BCAMP-CBT

On successful Completion of the Data Science and Machine Learning with Azure ML course you will be able to:

• Describe key concepts of data science and machine learning
• Understand Open Source Machine learning tools including R and Python
• Understand Open Source Machine learning Platforms
• Understand Commercial Machine learning tools including Microsoft Azure Machine Learning
• Set Up a R Environment for Development
• Set Up a Python Environment for Development
• Prepare data for predictive modelling
• Visualize and explore data
• Develop Data Science solutions using R
• Develop R solutions using Microsoft Azure ML
• Develop Data Science solutions using Microsoft Azure ML Studio
• Develop Machine learning solutions using Microsoft Azure ML Studio
• Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: DSML-AZU-CBT

On successful Completion of the Career Enabler R Programming Disc-3mm -May2013 course you will be able to:

• Learn to Install RStudio and work on R interface
• Learn the basics of R programming including objects, classes, vectors, attributes etc.
• Write functions including generic functions using various methods and loops
• Install various packages and work effectively in the R environment
• Select and modify values as required
• Learn to use Vectorized Coding and Use Cases
• Cover the concepts of R Notation, S3 System and Closures
• Become proficient in writing a fundamental program and perform analytics with R

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: DSML-RPRG-CBT

On successful Completion of the Career Enabler: Fundamentals of R for Data Science course you will be able to:

• Understand Data Science
• Understand Data Science Tools and Technology
• Understand R
• Data Modeling in R
• Visualize and explore data
• Data Exploration in R
• Data Visualisation in R
• Profiling and Analyzing Datasets

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: DS-RDS-CBT

On successful Completion of the Predictive Analytics with Spark course you will be able to:

• Using Spark to work with data
• Preprocessing data for machine learning in Spark
• Building machine learning models in Spark
• Using R at scale with R Server on Spark

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: WLN-PA-SPARK

On successful Completion of the Career Enabler: R Programming and Predictive Modelling course you will be able to:

• Basics of R Programming
• Naive Bayes
• k-nearest neighbor algorithm
• Support vector machines
• Random forests
• Sentiment Analysis using R

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: DSML-RPRG-CBT

On successful Completion of the AI & Machine Learning course you will be able to:

• General Concepts on Artificial Intelligence
• General Concepts on Machine Learning
• Linear Regression
• Logistic Regression
• Association Rules- Market Basket Analysis
• Recommendation system
• Item Based collaborative
• User Based Collaborative

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-DSAIML-CBT

On successful Completion of the Career Enabler: Mastering Apache Hadoop course you will be able to:

• Comprehend key Hadoop distributors
• Comprehend Hadoop Architecture
• Comprehend HDFS
• Comprehend MapReduce
• Comprehend Backup and Recovery
• Comprehend Monitoring the Cluster
• Comprehend Hadoop Resource Management
• Comprehend Cluster Troubleshooting
• Comprehend Installation, Configuration and Implementation
• Comprehend Hadoop debugging, development, and execution of workflows and algorithms
• leverage Hive, Oozie, Pig, Flume, Sqoop, and other Hadoop ecosystem projects
• Create custom components such as InputFormats and WritableComparables to administer complex data types
• Write and execute joins to link data sets in MapReduce

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-HADO-CBT

On successful Completion of the Foundations of Mathematics & Statistics course you will be able to:

• Mean
• Mode
• Median
• Standard deviation
• Probability
• Combination
• R Studio and R Installation
• R for Statistics and mathematics (Basic Mathematics Operations)

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-FND-MATS-CBT

On successful Completion of the Fundamentals: Hadoop YARN & Ambari course you will be able to:

• Hadoop fundamentals
• Big Data Approach
• RDBMS Vs. Hadoop
• Introduction to Hadoop
• Hadoop Architecture
• HDFS, YARN, Hadoop setup
• Cloudera Manager
• Ambari
• Job scheduling and monitoring

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-HYAMB-CBT

On successful Completion of the Fundamentals: Sqoop, Flume & Kafka course you will be able to:

• Ingesting Data using Sqoop
• Sqoop properties and commands
• Integrating Sqoop with RDBMS
• Sqoop features and example scenarios
• Ingesting Data using Flume
• Flume properties and setup
• Flume and streaming
• Flume Vs. Kafka

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-SQFK-CBT

On successful Completion of the Fundamentals: Pig, Hive & Impala course you will be able to:

• Introduction to Pig
• Pig programming and commands
• Pig interactive shell
• Analyzing complex data using Pig
• Using Pig functions
• Introduction to Hive
• Hive Metastore
• Writing queries using Hive
• Joins and grouping
• Impala architecture
• Impala Vs. Hive
• Queries using Impala

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-PHI-CBT

On successful Completion of the Career Enabler Spark Machine Learning course you will be able to:

• Spark Basics
• Spark MlLib Library
• Install and configure intelliJ for Spark development
• Logistic Regression
• Linear Regression
• ALS
• KMeans

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-SPAML-CBT

On successful Completion of the Career Enabler: Foundations of Data Science and Machine Learning course you will be able to:

• Describe key concepts of data science and machine learning
• Describe key concepts of machine learning
• Understand Open Source Machine learning tools including R and Python
• Understand Open Source Machine learning Platforms
• Understand Commercial Machine learning tools including Microsoft Azure Machine Learning
• Prepare data for predictive modelling
• Visualize and explore data
• Develop Machine learning solutions using R and Python
• Develop R Machine learning solutions using Microsoft AzureML
• Develop Machine learning solutions using Microsoft AzureML Studio
• Create supervised and unsupervised machine learning models

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-FND-DSML-CBT

On successful Completion of the Introduction to Data Science, AI & Machine Learning course you will be able to:

• Translate business questions into Machine Learning problems to understand what your data is telling you
• Explore and analyze data from the Web, Word Documents, Email, Twitter feeds, NoSQL stores, Relational Databases and more, for patterns and trends relevant to your business
• Build Decision Tree, Logistic Regression and Naïve Bayes classifiers to make predictions about your customers’ future behaviors as well as other business critical events
• Use K-Means and Hierarchical Clustering algorithms to more effectively segment your customer market or to discover outliers in your data
• Discover hidden customer behaviors from Association Rules and Build Recommendation Engines based on behavioral patterns
• Use biologically-inspired Neural Networks to learn from observational data as humans do
• Investigate relationships and flows between people, computers and other connected entities using Social Network Analysis

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-DSAIML-RPRG-CBT

On successful Completion of the Career Enabler: Introduction to Big Data course you will be able to:

• Store, manage, and analyze unstructured data
• Select the correct big data stores for disparate data sets
• Process large data sets using Hadoop to extract value
• Query large data sets in near real time with Pig and Hive
• Plan and implement a big data strategy for your organization

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-SQFK-CBT

On successful Completion of the Career Enabler: Building Enterprise Solutions with MongoDB course you will be able to:

• Develop highly scalable and cost-efficient applications with MongoDB
• Build efficient MongoDB data models for enterprise-scale applications
• Enhance performance with indexing and sharding
• Manage consistency with write concern and read preference
• Process data and compute results with aggregation pipelines and MapReduce

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-SQFK-CBT

On successful Completion of the Career Enabler: Business Intelligence: Preparing for a BI Initiative course you will be able to:

• Apply the BI Meta Model (BIMM) to turn desired outcomes into actions
• Choose between a strategic and a tactical application of BI
• Map operational data to a data warehouse
• Design a BI solution for a business problem

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BII-CBT

On successful Completion of the Career Enabler: Introduction to Modelling for Business Analysis course you will be able to:

• Perform a functional decomposition of your organisation
• Diagram and document business processes as use cases
• Capture workflows in Business Process Model and Notation (BPMN)
• Apply UML diagrams to document your business objects and their states
• Use a CASE tool to refine business analysis models and documentation

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-MFBA-CBT

On successful Completion of the Career Enabler: Data Science and Machine Learning with Spark ML course you will be able to:

• Data Science and Machine Learning Overview
• Understand Data Science and Big Data Processing
• Understand Spark
• Making a Case for Spark
• Understand Major components of Spark programming
• Understand Major components of Spark programming
• Understand Major components of Spark programming
• Describe Spark MLlib and Data Types
• Describe Spark ML on Azure
• Describe Azure HDInsight Spark Clusters
• Spark MLlib Basic Statistics
• Understand Clustering on Spark
• Understand Regression on Spark
• Applying Regression and Classification on Spark

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-SQFK-CBT

On successful Completion of the Career Enabler: Machine Learning with Big Data course you will be able to:

• Explain what machine learning is
• Describe the main categories of machine learning techniques
• Identify the steps in the machine learning process
• Describe what CRISP-DM is
• Describe Data Exploration and Preparation
• Describe classification and how classification can be supervised or unsupervised
• Explain and Discuss Evaluation of Machine Learning Models
• Explain Regression, Cluster Analysis, and Association Analysis
• Define what the regression task is
• Explain the difference between regression and classification
• Construct models that learn from data using widely available open source tools
• Analyze big data problems using scalable machine learning algorithms on Spark

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-SQFK-CBT

On successful Completion of the Data Science for Oracle Developers course you will be able to:

• Describe and Understand Data Science and Machine Learning
• Describe the main categories of machine learning techniques
• Describe and Understand the Data Science Process
• Identify the steps in the machine learning process
• Describe what CRISP-DM is
• Describe and Understand Oracle Advanced Analytics Tools
• Describe Oracle Data Miner
• Understand R Technologies in Oracle
• Describe Oracle R Enterprise Server
• Describe and Understand Data Science Algorithms supported by Oracle
• Describe and Understand AI and Machine Learning Techniques supported by Oracle
• Install and Configure Oracle Advanced Analytics
• Describe Data Exploration and Preparation
• Describe classification and how classification can be supervised or unsupervised
• Understand and Perform Clustering Methods
• Understand and apply Association Rules
• Understand and apply Regression Analysis
• Understand and apply Classification Methods
• Understand and apply Neural Networks
• Understand and apply Solutions Deployment

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-DSORA-CBT

On successful Completion of the Data Science and Machine Learning for Oracle Developers course you will be able to:

• Describe and Understand Data Science and Machine Learning
• Describe the main categories of machine learning techniques
• Describe and Understand the Data Science Process
• Identify the steps in the machine learning process
• Describe what CRISP-DM is
• Describe and Understand Oracle Advanced Analytics Tools
• Describe Oracle Data Miner
• Understand R Technologies in Oracle
• Describe Oracle R Enterprise Server
• Describe and Understand Data Science Algorithms supported by Oracle
• Describe and Understand AI and Machine Learning Techniques supported by Oracle
• Install and Configure Oracle Advanced Analytics
• Describe Data Exploration and Preparation
• Describe classification and how classification can be supervised or unsupervised
• Understand and Perform Clustering Methods
• Understand and apply Association Rules
• Understand and apply Regression Analysis
• Understand and apply Classification Methods
• Understand and apply Neural Networks
• Understand and apply Solutions Deployment
• Identify the typical workflow for using Autonomous Database Cloud Services
• Provision an Oracle Autonomous Data Warehouse Cloud Service instance
• Use Oracle Machine Learning with Autonomous Data Warehouse instances
• Connect to the cloud service instance using SQL Developer

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-DSORA-CBT

On successful Completion of the AI and Machine Learning for Oracle Developers course you will be able to:

• Describe and Understand AI and Machine Learning
• Describe the main categories of machine learning techniques
• Describe and Understand the AI and Machine Learning Process
• Identify the steps in the machine learning process
• Describe what CRISP-DM is
• Describe Oracle Database architecture
• Explain Oracle Database Cloud Service (DBCS) architecture and features
• Understand Oracle Autonomous Database Cloud services
• Describe and Understand Oracle Advanced Analytics Tools
• Describe Oracle Data Miner
• Understand R Technologies in Oracle
• Describe Oracle R Enterprise Server
• Identify the typical workflow for using Autonomous Database Cloud Services
• Provision an Oracle Autonomous Data Warehouse Cloud Service instance
• Provision an Oracle Autonomous Transaction Processing Cloud Service instance
• Use Oracle Machine Learning with Autonomous Data Warehouse instances
• Use Oracle Machine Learning with Transaction Processing instances
• Connect to the cloud service instance using SQL Developer
• Describe Data Exploration and Preparation
• Describe and Understand AI and Machine Learning Algorithms supported by Oracle
• Describe classification and how classification can be supervised or unsupervised
• Understand and Perform Clustering Methods
• Understand and apply Association Rules and Regression Analysis

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-DSORA-CBT

On successful Completion of the Data Science for SQL Server Developers course you will be able to:

• Describe and Understand Data Science and Machine Learning
• Describe the main categories of machine learning techniques
• Describe and Understand the Data Science Process
• Identify the steps in the machine learning process
• Describe what CRISP-DM is
• Describe and Understand Microsoft Analytics Tools
• Describe Oracle Data Miner
• Understand R Technologies in Microsoft
• Describe Microsoft R Enterprise Server
• Describe and Understand Data Science Algorithms supported by Microsoft
• Describe and Understand AI and Machine Learning Techniques supported by Microsoft
• Install and Configure Microsoft Advanced Analytics
• Describe Data Exploration and Preparation
• Describe classification and how classification can be supervised or unsupervised
• Understand and Perform Clustering Methods
• Understand and apply Association Rules
• Understand and apply Regression Analysis
• Understand and apply Classification Methods
• Understand and apply Neural Networks
• Understand and apply Solutions Deployment

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-DSORA-CBT

On successful Completion of the Machine Learning for SQL Server Developers course you will be able to:

• Explain Artificial Intelligence and machine learning
• Describe the open source and commercial Tools landscape: KNIME, R vs. Microsoft R, Python
• Understand Algorithms and Algorithm classes in R, Python, ML Server, Azure ML
• Describe the main categories of machine learning techniques
• Identify the steps in the machine learning process
• Describe what CRISP-DM is
• Describe Data Exploration and Preparation
• Describe classification and how classification can be supervised or unsupervised
• Explain and Discuss Evaluation of Machine Learning Models
• Explain Regression, Cluster Analysis, and Association Analysis
• Define what the regression task is
• Explain the difference between regression and classification
• Construct models that learn from data using widely available open source tools
• Analyze big data problems using scalable machine learning algorithms on open source R, Microsoft R, Azure ML

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-DSORA-CBT

On successful Completion of the Data Science and Machine Learning for SQL Server Developers course you will be able to:

• Describe and Understand Data Science and Machine Learning
• Describe the main categories of machine learning techniques
• Describe and Understand the Data Science Process
• Identify the steps in the machine learning process
• Describe what CRISP-DM is
• Describe the open source and commercial Tools landscape: KNIME, R vs. Microsoft R, Python
• Describe and Understand Microsoft Analytics Tools
• Understand R Technologies in Microsoft
• Describe Microsoft R Enterprise Server
• Describe and Understand Data Science Algorithms supported by Microsoft
• Describe and Understand AI and Machine Learning Techniques supported by Microsoft
• Install and Configure Microsoft Advanced Analytics
• Describe Data Exploration and Preparation
• Describe classification and how classification can be supervised or unsupervised
• Understand and Perform Clustering Methods
• Understand and apply Association Rules
• Understand and apply Regression Analysis
• Understand and apply Classification Methods
• Understand and apply Neural Networks
• Understand and apply Solutions Deployment

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-DSORA-CBT

On successful Completion of the Career Enabler: Foundations of Apache Spark course you will be able to:

• Gain a high-level understanding of Apache Spark
• Understand Resilient Distributed Datasets (RDDs) in Apache Spark
• Understand notebooks on Apache Spark
• Understand Spark ML
• Understand Spark SQL
• Understand Hive in Apache Spark
• Understand R on Apache Spark
• Understand Spark Streaming
• Understand machine learning with Spark MLlib

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-SPK-CBT

On successful Completion of the Career Enabler: Microsoft Big Data Analytics: Hadoop and Spark on HDInsight course you will be able to:

• Gain a high-level understanding of big data and Hadoop on HDInsight
• Understand Hadoop Components: MapReduce and HDFS
• Understand Hadoop Components: YARN and Apache Tez
• Understand HDInsight
• Understand HCatalog
• Understand development with Hive
• Understand development with Pig
• Understand development with HBase
• Understand Apache Storm on HDInsight
• Understand HDInsight clusters, cluster type, and configuration
• Understand extensibility and customizing HDInsight clusters using script actions
• Understand cluster security and operations
• Understand monitoring and managing Hadoop with Ambari web UI
• Understand Hadoop Clusters in HDInsight
• Gain a high-level understanding of Apache Spark
• Understand Resilient Distributed Datasets (RDDs) in Apache Spark
• Understand notebooks on Apache Spark
• Understand Spark with Azure HDInsight
• Understand Spark ML
• Understand Spark SQL
• Understand Hive and Power BI in Apache Spark
• Understand Spark Streaming
• Understand machine learning with Spark MLlib
• Understand R Server on HDInsight with Apache Spark

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-SQFK-CBT

On successful Completion of the Career Enabler: Microsoft Big Data Analytics: Hadoop on HDInsight course you will be able to:

• Gain a high-level understanding of big data and Hadoop on HDInsight
• Understand Hadoop Components: MapReduce and HDFS
• Understand Hadoop Components: YARN and Apache Tez
• Understand HDInsight
• Understand HCatalog
• Understand development with Hive
• Understand development with Pig
• Understand development with HBase
• Understand Apache Storm on HDInsight
• Understand HDInsight clusters, cluster type, and configuration
• Understand extensibility and customizing HDInsight clusters using script actions
• Understand cluster security and operations
• Understand monitoring and managing Hadoop with Ambari web UI
• Understand Hadoop Clusters in HDInsight

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-SQFK-CBT

On successful Completion of the Career Enabler: Microsoft Big Data Analytics: Spark on HDInsight course you will be able to:

• Gain a high-level understanding of Apache Spark
• Understand Resilient Distributed Datasets (RDDs) in Apache Spark
• Understand notebooks on Apache Spark
• Understand Spark with Azure HDInsight
• Understand Spark ML
• Understand Spark SQL
• Understand Hive and Power BI in Apache Spark
• Understand Spark Streaming
• Understand machine learning with Spark MLlib
• Understand R Server on HDInsight with Apache Spark

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-SPK-CBT

On successful Completion of the Career Enabler: Microsoft Big Data Analytics: Hadoop on Azure course you will be able to:

• Microsoft Big Data Fundamentals
• How to implement Hadoop on HDInsight
• Hive and Tez: Querying Big Data Essentials
• Pig, Sqoop, Oozie, and Mahout Essentials
• HBase Essentials
• Storm Essentials

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-HADAZU-CBT

On successful Completion of the Career Enabler: Foundations of Microsoft AI, Machine Learning and Big Data Platform course you will be able to:

• Gain a high-level understanding of SQL Server 2016/2017
• Understand the mission-critical and hybrid capabilities of SQL Server
• Gain a high-level understanding of Azure Data Services
• Gain a high-level understanding of Modern Data Warehouse
• Gain a high-level understanding of SQL Server BI
• Gain a high-level understanding of SQL Server Enterprise Information Management
• Gain a high-level understanding of Power BI
• Gain a high-level understanding of Azure Machine Learning
• Gain a high-level understanding of Azure Data Factory
• Gain a high-level understanding of SQL Server R Services
• Gain a high-level understanding of Hadoop on Azure
• Gain a high-level understanding of Azure Data Lake
• Gain a high-level understanding of Apache Spark

Certification: This course will assist in preparation for the Microsoft, IBM and Oracle Data Science and Machine Learning Certification exams.

Product code: CEN-BIG-MSPLT-CBT

On successful Completion of the Fundamentals of Microsoft Azure Data Warehousing course you will be able to:

• Understand Data Warehousing Concepts
• Understand key SQL Data Warehouse concepts
• Understand the Data Warehouse and ETL Development Lifecycle
• Understand SQL Data Warehouse topology and architecture
• Understand Azure Data Warehouse database design
• Understand ETL (data access, data export) in SQL Data Warehouse
• Learn how to Extract, Transform, and Load (ETL) Data in Azure SQL Data Warehouse
• Understand data movement and distribution theory in SQL Data Warehouse
• Understand big data and SQL Server integration
• Understanding Azure Data Warehouse to BI integration, including with Power BI

Certification: This course will assist in preparation for the Microsoft Business Intelligence Certification exams.

Product code: WLN-MSFT-AZUDW

On successful Completion of the Fundamentals of SQL Server 2016 Platform course you will be able to:

• Gain a high-level understanding of SQL Server
• Understand the new features in SQL Server 2016
• Understand SQL Server In-Memory Optimization (OLTP)
• Understand SQL Server In-Memory Data Warehouse capabilities
• Understand SQL Server 2016 high-availability features
• Understand SQL Server 2016 SQL Server security features
• Understand SQL Server 2016 Query Store and Live Query Statistics
• Understand SQL Server 2016 Temporal Tables
• Understand the integration of SQL Server 2016 with big data sources with PolyBase
• Understand SQL Server 2016 Stretch Database
• Gain a high-level understanding of SQL Server R Services Analytics
• Understand SQL Server 2016 R Services integration

Certification: This course will assist in preparation for the Fundamentals of SQL Server 2016 Platform Certification exams.

Product code: WLN-MSFT-BIDW

On successful Completion of the Fundamentals of SQL Server 2017 Platform course you will be able to:

• Gain a high-level understanding of SQL Server
• Understand the new features in SQL Server 2017
• Understand SQL Server In-Memory Optimization (OLTP)
• Understand SQL Server In-Memory Data Warehouse capabilities
• Understand SQL Server 2017 high-availability features
• Understand SQL Server 2017 SQL Server security features
• Understand SQL Server 2017 Query Store and Live Query Statistics
• Understand SQL Server 2017 Temporal Tables
• Understand the integration of SQL Server 2017 with big data sources with PolyBase
• Understand SQL Server 2017 Stretch Database
• Gain a high-level understanding of SQL Server R Services Analytics
• Understand SQL Server 2017 R Services integration

Certification: This course will assist in preparation for the Fundamentals of SQL Server 2017 Platform Certification exams.

Product code: WLN-MSFT-BIDW

On successful Completion of the Fundamentals of SQL Server On-Premise and Cloud Data Warehousing course you will be able to:

• Learn to Plan and Scope your SQL Server Data Warehouse Projects
• Understand BI and Warehouse Architecture Frameworks
• Understand the BI and Warehouse Development Process
• Learn to Manage SQL Server Warehouse Projects
• Understand the Data Warehouse and ETL Development Lifecycle
• Understand Data Warehousing Concepts
• Understand Dimension Modelling
• Understand key SQL Server Data Warehouse concepts
• Understand SQL Data Warehouse topology and architecture
• Understand Azure Data Warehouse database design
• Understand ETL (data access, data export) in SQL Data Warehouse
• Understand data movement and distribution theory in SQL Data Warehouse
• Understand big data and SQL Server integration
• Understanding Azure Data Warehouse to BI integration, including with Power BI

Certification: This course will assist in preparation for the Microsoft Business Intelligence Certification exams.

Product code: WLN-MSFT-AZUDW

On successful Completion of the Introduction to Data Modeling course you will be able to:

• Fundamentals of normalization and why it's important to transactional databases
• How to develop logical and physical data models
• How to model data security, privacy and protection requirements
• When and where to model database-specific performance requirements
• How model-driven development fits in a DevOps or agile environment
• How to avoid schema drift and other data anti-patterns

Certification: This course will assist in preparation for the Microsoft MCSE & MCSA Certification exams.

Product code: WLN-MSFT-BIDW

On successful Completion of the Career Enabler: Decision Modeling course you will be able to:

• Decision Modeling
• Decision Tree
• Supervised learning
• Unsupervised learning
• Artificial Neural Networks
• Twitter Data Processing with R

Certification: This course will assist in preparation for the Decision Modeling Certification exams.

Product code: WLN-MSFT-BIDW

This course introduces students to the fundamentals of SQL using Oracle Database 11g database technology. In this course students learn the concepts of relational databases and the powerful SQL programming language. This course provides the essential SQL skills that allow developers to write queries against single and multiple tables, manipulate data in tables, and create database objects.
On successful Completion of the course you will be able to accomplish the following:

• Understand Relational Database Modelling
• Identify Oracle Database Development Tools
• Install your Oracle Software
• Understand the Oracle Database 11g Enterprise Edition Options
• Understand the Oracle Database Architecture
• Identify the major structural components of the Oracle Database 11g
• Manage objects with data dictionary views
• Manage schema objects
• Run data definition language (DDL) statements to create and manage schema objects
• Retrieve row and column data from tables with the SELECT statement
• Create reports of sorted and restricted data
• Display data from multiple tables using the ANSI SQL 99 JOIN syntax
• Create reports of aggregated data
• Use the SET operators to create subsets of data
• Run data manipulation statements (DML) to update data
• Employ SQL & PL/SQL functions to generate and retrieve customized data
• Create PL/SQL Triggers
• Create PL/SQL Stored Procedures and Functions
• Create PL/SQL Packages

Oracle Database 11g Essentials Self-Study eLearning: Certified Implementation Specialist..

Product code: 367DDF5p

The Oracle 11g training course will teach students how to install and maintain an Oracle database, how to create an operational database and properly manage the various structures in an effective and efficient manner including performance monitoring, database security, user management, and backup/recovery techniques.
On successful Completion of the course you will be able to accomplish the following:

• Basics of the Oracle® Database Architecture
• Shared Memory Areas
• Installing Oracle Software
• Managing an Oracle® Instance
• Oracle® Managed Files
• Server Side Parameter File
• Oracle® Data Dictionary
• Control Files and Redo Log Files
• Managing the Physical Database Structure
• Managing Tablespaces and Datafiles
• Temporary Segments
• Storage Structures and Undo Data
• Block Utilization
• Undo Space Management
• Managing Database Objects
• Indexes
• Integrity Constraints
• Managing Database Users
• System Privileges
• Object Privileges
• Roles
• Backup and Recovery Concepts
• Perform Database Backups

This course will assist in preparation for the Oracle Database 11g Administration OCA Certification - 1Z0-052 exams.

Product code: 367DDF5p

On successful Completion of the Oracle Database 11g SQL Essentials course you will be able to:

• Run data definition language (DDL) statements
• Identify the major structural components of the Oracle Database
• Retrieve row and column data from tables with the SELECT statement
• Create reports of sorted and restricted data
• Employ SQL functions to generate and retrieve customized data
• Display data from multiple tables using the ANSI SQL 99 JOIN syntax
• Create reports of aggregated data
• Use the SET operators to create subsets of data
• Run data manipulation statements (DML) to update data

This course will assist in preparation for the Oracle Database 11g: OCA 1Z0-051 Certification exams.

Product code: 367DDF5p

This course introduces students to the fundamentals of PL/SQL using Oracle Database 11g database technology. In this course students learn the concepts of relational databases and the powerful PL/SQL programming language.
On successful Completion of the course you will be able to accomplish the following:

• Write Executable Statements
• Declaring PL/SQL Variables
• Working with Composite Data Types
• Conditionally control code flow (loops, control structures)
• Explicit cursors
• Handle runtime errors
• Describe stored procedures and functions

This course will assist in preparation for the Oracle Database 11g: OCA 1Z0-144 Certification exams.

Product code: 367DDF5p

On successful Completion of the course you will be able to accomplish the following:

• Design, build, and use a relational database using proven methods
• Ensure database designs accurately model business requirements
• Normalize and denormalize your data to optimize performance
• Work with integrity constraints
• Automatically generate database documentation using CASE tools

Certification: This course will assist in preparation for the Oracle Database 11g: 1Z0-051 and 1Z0-144 certification exams.

Product code: WLN-ORA-SQPLSQL

On successful Completion of the course you will be able to accomplish the following:

• Run data definition language (DDL) statements
• Identify the major structural components of the Oracle Database
• Retrieve row and column data from tables with the SELECT statement
• Create reports of sorted and restricted data
• Employ SQL functions to generate and retrieve customized data
• Display data from multiple tables using the ANSI SQL 99 JOIN syntax
• Create reports of aggregated data
• Use the SET operators to create subsets of data
• Run data manipulation statements (DML) to update data
• Employ SQL & PL/SQL functions to generate and retrieve customized data
• Create PL/SQL Triggers
• Create PL/SQL Stored Procedures and Functions

Certification: This course will assist in preparation for the Oracle Database 11g: 1Z0-051 and 1Z0-144 certification exams.

Product code: WLN-ORA-SQPLSQL

On successful Completion of the course you will be able to accomplish the following:

• Run data definition language (DDL) statements
• Identify the major structural components of the Oracle Database
• Retrieve row and column data from tables with the SELECT statement
• Create reports of sorted and restricted data
• Employ SQL functions to generate and retrieve customized data
• Display data from multiple tables using the ANSI SQL 99 JOIN syntax
• Create reports of aggregated data
• Use the SET operators to create subsets of data
• Run data manipulation statements (DML) to update data
• Employ SQL & PL/SQL functions to generate and retrieve customized data
• Create PL/SQL Triggers
• Create PL/SQL Stored Procedures and Functions

Certification: This course will assist in preparation for the Oracle Database 12c: 1Z0-061 and 1Z0-144 certification exams.

Product code: WLN-ORA-DB12C-SQPLSQL

This course introduces students to the fundamentals of PL/SQL using Oracle Database 12c database technology. In this course students learn the concepts of relational databases and the powerful PL/SQL programming language.
On successful Completion of the course you will be able to accomplish the following:

• Introduction to PL/SQL Programming
• PL/SQL Blocks
• Creating an Anonymous Block
• Write Executable Statements
• Declaring PL/SQL Variables
• Working with Composite Data Types
• Conditionally control code flow (loops, control structures)
• Explicit cursors
• Handle runtime errors
• Describe stored procedures and functions

This course will assist in preparation for the Oracle Database 12c: OCA 1Z0-144 Certification exams.

Product code: WLN-ORA-DB12C-PLSQL

On successful Completion of the Oracle 11g Data Warehousing Fundamentals Self-Study eLearning course you will be able to:

• Define the terminology and explain the basic concepts of data warehousing
• Understand the Oracle Data Warehouse Technology Stack
• Understand the Oracle Data Warehouse Reference Architecture
• Understand the Oracle Business Intelligence and Analytics Technology Stack
• Describe methods and tools for extracting, transforming, and loading data
• Use Oracle Data Integrator 11g ETL for extracting, transforming, and loading data
• Identify some of the tools for accessing and analysing warehouse data
• Identify the technology and some of the tools from Oracle to implement a successful data warehouse
• Define the decision support purpose and end goal of a data warehouse
• Describe the benefits of partitioning, parallel operations, materialized views, and query rewrite in a data warehouse
• Understand the implementation and organisational issues surrounding a data warehouse project
• Use materialised views and query rewrite to improve the data warehouse performance
• Develop familiarity with some of the technologies required to implement a data warehouse

Certification: This course will assist in preparation for the Oracle BI Certified Implementation Specialist 1Z0-591 Certification exam.

Product code: WLN-ORA-DWFNDM

On successful Completion of the Oracle 12c Data Warehousing Fundamentals Self-Study eLearning course you will be able to:

• Define the terminology and explain the basic concepts of data warehousing
• Understand the Oracle Data Warehouse Technology Stack
• Understand the Oracle Data Warehouse Reference Architecture
• Understand the Oracle Business Intelligence and Analytics Technology Stack
• Describe methods and tools for extracting, transforming, and loading data
• Use Oracle Data Integrator 11g ETL for extracting, transforming, and loading data
• Identify some of the tools for accessing and analysing warehouse data
• Identify the technology and some of the tools from Oracle to implement a successful data warehouse
• Define the decision support purpose and end goal of a data warehouse
• Describe the benefits of partitioning, parallel operations, materialized views, and query rewrite in a data warehouse
• Understand the implementation and organisational issues surrounding a data warehouse project
• Use materialised views and query rewrite to improve the data warehouse performance
• Develop familiarity with some of the technologies required to implement a data warehouse

Certification: This course will assist in preparation for the Oracle BI Certified Implementation Specialist 1Z0-591 Certification exam.

Product code: WLN-ORA-DWFNDM

On successful Completion of the Oracle 18c Data Warehousing Fundamentals Self-Study eLearning course you will be able to:

• Define the terminology and explain the basic concepts of data warehousing
• Define the terminology and explain the basics of Oracle Big data warehousing
• Understand the Oracle 18c Data Warehouse Technology Stack
• Understand the Oracle 18c Multitenant Architecture for Data Warehousing
• Understand the Oracle 18c Data Warehouse Reference Architecture
• Discuss the different Oracle tools to implement data warehousing on-premise
• Discuss Autonomous Data Warehouse Cloud (ADWC) and Data Integration Platform Cloud (DIPC)
• Understand the Oracle Business Intelligence and Analytics Technology Stack
• Describe methods and tools for extracting, transforming, and loading data
• Use Oracle Data Integrator ETL for extracting, transforming, and loading data
• Identify some of the tools for accessing and analysing warehouse data
• Understand the Oracle 18c AI & Machine Learning Tools for data warehousing
• Identify the technology and some of the tools from Oracle to implement a successful data warehouse
• Define the decision support purpose and end goal of a data warehouse
• Describe the benefits of partitioning, parallel operations, materialized views, and query rewrite in a data warehouse
• Understand the implementation and organisational issues surrounding a data warehouse project
• Use materialised views and query rewrite to improve the data warehouse performance
• Develop familiarity with some of the technologies required to implement a data warehouse

Certification: This course will assist in preparation for the Oracle BI Certified Implementation Specialist 1Z0-591 Certification exam.

Product code: WLN-ORA-DW18cFNDM

On successful Completion of the Oracle Data Integrator 11g Fundamentals course you will be able to:

• Understand the ETL Development Lifecycle
• Understand basic Data warehousing Concepts
• Understand basic Dimension Modelling
• Understand Data Quality Issues in ETL Process
• Understand the architecture of the Oracle Data Integrator system
• Define Data Sources
• Define Physical and Logical Architecture
• Create and reverse-engineer models
• Manage Projects
• Define Integration Processes
• Work with projects in Oracle Data Integrator
• Release your ODI work for deployment
• Understand models, reverse-engineering model metadata from your database
• Manage metadata in Oracle Data Integrator: models and data quality
• Create simple interfaces and add multiple sources to an interface
• Launch a session to run an interface
• Enforce data quality constraints in an interface
• Manage packages

Certification: This course will assist in the preparation for the Oracle Data Integrator 11g Certified Implementation Essentials - 1Z0-482 exam.

Product code: WLN-ORA-ODIFNDM

On successful Completion of the Oracle Data Integrator 11g Certified Implementation Essentials - 1Z0-482 course you will be able to:

• Learn to Plan and Scope your ETL/ELT Projects
• Understand the ETL Development Lifecycle
• Describe Oracle Fusion Middleware (FMW)
• Describe the Oracle Data Integrator (ODI) system logical architecture
• Identify and describe Oracle DI Java components
• Identify the system administration tools that are available for managing Oracle DI
• Define the Oracle Data Integrator 11g (ODI) Information System architecture
• Describe scenarios in which FMW Control is available
• Start and stop instances of WebLogic Server by using FMW Control
• Configure ODI11g Java EE Agent Components
• Monitor a WebLogic Server (WLS) domain with FMW Control
• Centrally manage Oracle DI components using Fusion Middleware Control
• Centrally manage Oracle DI Java components using the Oracle WebLogic Server Console
• Stop and start Oracle DI components
• Understand Data Quality Issues in ETL Process
• Understand the architecture of the complete Oracle Data Integrator system
• Create Data Servers and Sources
• Define Physical and Logical Architecture
• Create and reverse-engineer models
• Manage Projects
• Define Integration Processes
• Work with projects in Oracle Data Integrator
• Release your ODI work for deployment
• Understand models, reverse-engineering model metadata from your database
• Manage metadata in Oracle Data Integrator: models and data quality
• Create simple interfaces and add multiple sources to an interface
• Launch a session to run an interface
• Enforce data quality constraints in an interface
• Manage packages
• Manage and Monitor ETL processes in the ODI Console

Certification: This course will assist in the preparation for the Oracle Data Integrator 11g Certified Implementation Essentials - 1Z0-482 exam.

Product code: WLN-ORA-ODIBC