Data Scientist Training Certification Course Online

1. Data Science With SAS Training (SAS Programmer)

SAS® Base

• SAS® Programming 1: Essentials
• Introduction to SAS® foundation
• Introduction to SAS® programs
• Accessing SAS® Data
• Producing Detail Reports
• Formatting Data Values
• Reading SAS® Data Sets
• Reading Spreadsheet and Database Data
• Reading Spreadsheet and Database Data
• Manipulating Data
• Combining SAS®Data Sets
• Creating Summary Reports

SAS® Programming 2: Data Manipulation Techniques

• Introduction
• Controlling Input and Output
• Summarizing Data
• Reading Raw Data Files
• Data Transformations
• Debugging Techniques
• Processing Data Iteratively
• Restructuring a Data Set
• Combining SAS® Data Sets

SAS® Advanced

SAS® SQL 1: Essentials

• Introduction
• Displaying Query Results
• SQL Joins
• Subqueries
• Set Operators
• Creating Tables and Views
• Advanced PROC SQL Features

SAS® Macro Language 1:Essentials

• Introduction
• Macro Variables
• Macro Definitions
• DATA Step and SQL Interfaces
• Macro Programs

2. Data Science Certification Training - R Programming

Essential to R programming

• An Introduction to R
• Introduction to the R language
• Programming statistical graphics
• Programming with R
• Simulation
• Computational linear algebra
• Numerical optimization

Data Manipulation Techniques using R programming

• Data in R
• Reading and Writing Data
• R and Databases
• Dates
• Factors
• Subscripting
• Character Manipulation
• Data Aggregation
• Reshaping Data

Statistical Applications using R programming

• Basics
• The R environment
• Probability and distributions
• Descriptive statistics and graphics
• One- and two-sample tests
• Regression and correlation
• Analysis of variance and the Kruskal–Wallis test
• Tabular data
• Power and the computation of sample size
• Advanced data handling
• Multiple Regression
• Linear models
• Logistic regression
• Survival analysis
• Rates and Poisson regression
• Nonlinear curve fitting

3. Big Data Hadoop And Spark Developer

Big Data Hadoop

• Introduction
• Hadoop Fundamentals
• Introduction to Pig
• Basic Data Analysis with Pig
• Processing Complex Data with Pig
• Multi-Dataset Operations with Pig
• Extending Pig
• Pig Troubleshooting and Optimization
• Introduction to Hive
• Relational Data Analysis with Hive
• Hive Data Management
• Text Processing with Hive
• Hive Optimization
• Extending Hive
• Introduction to Impala

Apache Spark

• An Introduction to Spark - Getting started
  • About Resilient Distributed Dataset and DataFrames
  • The Spark application programming
  • An Introduction to Spark libraries
  • AboutSpark configuration, monitoring and tuning

4 Business Analytics with Excel (with VBA)

• Macro Introduction
• Learn About Programming
• Introduction to Flow Chart & Diagram
• Getting Starte with VBA
• VBA Excel Object
• Operators, Data Types & Variables
• Conditional Statement
• Loop Statement
• VBA User Forms-Part-1
• VBA User Forms-Part-2
• Advance VBA Programming

5 Data Science with Python

• The Data Science: An Overview
• Data Analytics Overview
• Statistical Analysis and Business Applications
• Python Environment Setup and Essentials
• What is Mathematical Computing with Python (NumPy)?
• The Scientific computing with Python (Scipy)
• The Data Manipulation with Pandas
• The Natural Language Processing with Scikit Learn
• The Data Visualization in Python using matplotlib
• Web Scraping with BeautifulSoup
• Python integration with Hadoop MapReduce and Spark