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Key Highlights

80+ hours of Applied learning
First 80 hrs of Learning
Live & Collaborative online & offline training sessions
Learn online & offline
Assignments, Case Studies & Projects at end of every module
To build your career
Essential Soft Skills Training
Learn soft skills
Designed for Working Professionals & Freshers
designed to suit the needs of working professionals and freshers.
Job Assistance
To build your career
Flexible Schedule
Learn with your flexible schedules
Mentor Support
Get Mentor Support
Certificate of Training
From STG
Why learn Data Analytics?
Why learn Data Analytics?

Data analytics is now a priority for top organizations

With market competition stiffening, top organizations are turning to data analytics to identify new market opportunities for their services and products.

Develop new revenue streams

With your ability to analyze and put good data information to good use, you can easily identify new and unexploited streams of revenue generation.

Big data analytics is everywhere

There is practically no sector which has remained untouched from the reach of Data Analytics.

Why learn

What you’ll learn

Advanced (Business) Statistics

You will learn to apply statistical tools correctly.

Excel and Advanced Excel

Learn the latest and advanced features available in Microsoft Excel


Learn how to use SQL in: MySQL, SQL Server etc.


Learn to create interactive graphs and charts in the form of dashboards and worksheets

Power BI

Learn to create interactive graphs and charts in the form of dashboards and worksheets

Basic R

Learn Bagging (Random Forest) & Boosting (AdaBoost).

Basics Python

Concepts of Python programming.


  • In this program, you will learn the following data analytics courses along with multiple case studies, assignments and project work.

Program Content:

  • ✔ Advanced (Business) Statistics ✔ Excel and Advanced Excel
    ✔ SQL ✔ Tableau
    ✔ Power BI ✔ Basics - R
    ✔ Basics - Python


Open the doors to the best in the industry:

WHO Can Apply for Data Analytics Course?


Data Analytics role requires a combination of experience, knowledge and hands-on to tools & technologies. Aspiring individuals & professionals of any educational background with analytical mind are best suited to pursue this course, including:

  • IT Professionals
  • Business Analysts
  • Banking & Financial Professionals
  • Fresh Graduates - Bachelor’s / Master’s Degree
  • Logistics / Supply Chain Managers

DATA Analytics – Job Roles

  • Data Analyst – Transforms, manipulates, and visualizes the data.
  • Data Engineer – Designs, builds and maintains the data pipelines & data ecosystem for the business.
  • Data Architect – Create blueprint for data management so DB can be easily integrated, centralized and protected. An expert in data warehousing, data modelling and extraction transformation & loan (ETL).
  • Data Storyteller – Analyses data, map metrics to business objectives, prepare an engaging story and present the insights in a creative way.
  • Business Analyst / Senior Business Analyst – Understand and assess the changing need of the business. Bridge the gap between IT ecosystem and business using data analytics to assess processes, determine requirements and provide actionable insights to business stakeholders for better decision making, dashboards and metrics to monitor company’s performance.
  • AI Expert – Build strategies on frameworks / technologies to develop AI solutions and help the organization’s expansion & growth.
  • Machine Learning Expert – Design & Develop new algorithms for data manipulation, understand algorithms like clustering, categorization and classification and build statistical models with huge chunks of business data.