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Key Highlights

100+ hours of Applied learning
First 100 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 Science?
Why learn Data Science?

200% increase in demand

22-Feb-2021 — In the next 5 years, global demand for a data scientist is expected to increase by 200%.

Most lucrative salary

13-Mar-2022 — The average salary for a data scientist is Rs.698,412 per year. With less than a year of experience.

Love for Mathematics & programming

Data science is mix of maths, statistics, and programming - take your love for math and programming to the next level.

Why learn

What you’ll learn

Advanced Statistics

You will learn to apply statistical tools correctly.

Advanced Excel

Learn the latest and advanced features available in Microsoft Excel

Data Science with Python

Master the concepts of Python programming.

Machine Learning with Python

Tools you need to get started with supervised and unsupervised learning.

Ensemble Learning

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

Deep Learning

Learn ANN, CNN & RNN

SQL

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

Data Visualization using Tableau

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



DATA SCIENCE - COURSE DETAILS

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

Program Content:

  • ✔Advanced Excel ✔ Advanced Statistics
    ✔Data Science with Python ✔Machine Learning with Python
    ✔Ensemble Learning ✔Deep Learning
    ✔SQL ✔Data Visualization using Tableau


COMPANIES HIRING - DATA SCIENCE PROFESSIONALS

Open the doors to the best in the industry:



WHO Can Apply for Data Science Course?

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Data Science 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 SCIENCE – 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 Scientist / Senior Data Scientist – Understand challenges of business by identifying trends & patterns to perform predictive analysis and data visualization to provide actionable insights for making better decisions. Manage a team of Data Scientist.
  • 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.

Participant’ journeys for success

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