Certified online & offline training

Learn Data Science

Step by step action plan for learning data science!

In this course, you will gain domain knowledge, data transformation, understand the usage of algorithm for solving complex business problems, optimization techniques, project execution strategy, data visualization and storytelling.

100+ hrs

100% Placement Assistance

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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?

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.

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 Data Analytics Cisco Certified Network Associate Certified Information Systems Auditor Certified Information Security Manager Certified Information Systems Security Professional

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

WHO Can Apply for Data Science Course?

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.