Drop us a line!





Instructor Based Online Training Programs

Call us @ 8130-371-253 / 9971-283-969 for upcoming batches

Data Analytics with R Programming

Introduction R/R-Studio - GUI
Concept of Packages - Useful Packages (Base & other packages) in R
Data Structure & Data Types (Vectors, Matrices, factors, Data frames, and Lists)
Importing Data from various sources
Database Input (Connecting to database)
Exporting Data to various formats)
Viewing Data (Viewing partial data and full data)
Data Visualization with R


Data Analytics with Python

Python Editor - Jupyter - GUI
Data Structure & Data Types (List, Tuples, Dictionary, and Data Frames)
Importing Data from various sources
Database Input (Connecting to database)
Exporting Data to various formats)
Viewing Data (Viewing partial data and full data)
Data Visualization with Python - Matplotlib




Machine Learning with Python

What is Machine Learning?
Supervised vs Unsupervised Learning
Concept of overfitting and under fitting (Bias-Variance Trade off) & Performance Metrics
Supervised Learning
  1. Linear Regression
  2. Logistic Regression
Unsupervised Learning
  1. K-Means Clustering
  2. Beyond K-Means
Industry case-studies of Machine Learning Projects

Data Analytics with SAS

Introduction to SAS Studio?
SAS-Introduction - Data Importing
  1. Concept of Libraries, PDV, Data Execution
  2. Data & Proc Steps -Statement & Options
  3. Debugging SAS Codes
SAS-Data Manipulation
  1. Sorting, filtering, duplicates, merging...
  2. Operators, Functions, Procedures
  3. Control Statements, Loops
SAS - Exploratory Data Analytics
  1. Descriptive Statistic
  2. Univeriate Analysis
Data Visiualization

MS Excel Based Data Analytics

Formatting & Conditional Formatting
Filtering & Sorting
Data Validations
What-if Analysis (Senarios, Goal Seek, Data Tables)
Using Pivots & Pivots Charts
Protecting Workbooks, Worksheets and formulas
Creating Interactive Dashboards in Excel
  1. Working with Slicer
  2. Working with Timeline

Data Visualization with Tableau

Introduction to Tableau Desktop
Connecting Data Sources
Organizing Data in Tableau
  1. Filtering & Sorting Data
  2. Creating Combine Fileds
  3. Working with Sets and Combined Sets
  4. Adding Grand Total & Subtotals
Formatting Data
Visualizations options and working with Trend Lines
Creating Dashboard and Stories

About Instructor - Rajinder Chitoria

Professional with over 14 years of career reflecting Corporate Training qualifications and hands-on experience in Microsoft Technologies. Also good in Data Analytics Tools like SAS, Big Data & Hadoop, and Adv. Excel etc.
Specialization: Big Data & Hadoop, SAS, R, Python, MS Excel
Trained more than 5000+ students on MS Excel & VBA
Organizations worked for : HCL, NIIT, IBM, Tata AIG, CSC, BHEL, AIR FORCE, INDIAN NAVY, INDIAN ARMY
LinkedIn Profile