Data Science

Data Science Training

Get the best data Science training programs online 

About Training Program​

Embark on your journey into the exciting world of data science today. Equip yourself with the skills and knowledge needed to excel in this rapidly evolving field. Organizations across industries are leveraging the potential of data to drive informed decision-making, optimize processes, and gain a competitive edge.

Master statistical analysis, machine learning algorithms, data visualization, and more. Gain the expertise to extract, clean, and manipulate data, uncover valuable patterns, and build predictive models. Through hands-on projects and real-world case studies, confidently apply your knowledge and become a skilled data scientist.

Types of Data Science Training

IBM Certified Data Science

IBM certification for individuals with professional growth. 

Data Science Degree Course

Get a Degree from renowned university for data science

Job Oriented Data Science Program

Data Science Program like us to be job ready in the industry.

Training at Best


An organization with Industry expertise trainers and verified Data Science training and certification to fill the demand for data scientists in the market.

Data Science Program Overview

Designed for Working Professionals

Programming Tools & Languages Covered

Career Mentorship by Industry Experts

Placement Assistance in MNC's

Seamless Student Support

Data-Driven Business Decisions

Course Outline

Learning Path of Data Science

Program Cohorts includes Aspiring professionals of any educational background with an analytical frame of mind is suited to pursue the Data Scientist Master’s Program

Python for Data Science

Chapter 1 – Python Basics
Chapter 2 – Python Data Structures
Chapter 3 – Python Programming Fundamentals
Chapter 4 – Working with Data in Python
Chapter 5 – Working with NumPy Arrays

Data Science with Python

Chapter 1 – Data Science Overview
Chapter 2 – Data Analytics Overview
Chapter 3 – Statistical Analysis and Business Applications
Chapter 4 – Python Environment Setup and Essentials
Chapter 5 – Mathematical Computing with Python (NumPy)
Chapter 6 – Scientific computing with Python (Scipy)
Chapter 7 – Data Manipulation with Pandas
Chapter 8 – Machine Learning with Scikit–Learn
Chapter 9 – Natural Language Processing with Scikit Learn
Chapter 10 – Data Visualization in Python using matplotlib
Chapter 11 – Web Scraping with BeautifulSoup
Chapter 12 – Python integration with Hadoop MapReduce and Spark

Machine Learning

Chapter 1 – Introduction to Artificial Intelligence and Machine Learning
Chapter 2 – Data Wrangling and Manipulation
Chapter 3 – Supervised Learning
Chapter 4 – Feature Engineering
Chapter 5 – Supervised Learning-Classification
Chapter 6 – Unsupervised learning
Chapter 7 – Time Series Modelling
Chapter 8 – Ensemble Learning
Chapter 9 – Recommender Systems
Chapter 10 – Text Mining


Chapter 1 – Getting Started with Tableau
Chapter 2 – Core Tableau in Topics
Chapter 3 – Creating Charts in Tableau
Chapter 4 – Working with Metadata
Chapter 5 – Filters in Tableau
Chapter 6 – Applying Analytics to the worksheet
Chapter 7 – Dashboard in Tableau
Chapter 8 – Modifications to Data Connections
Chapter 9 – Introduction to Level of Details in Tableau (LODS)

SQL Training (Elective)

Chapter 1 – Fundamental SQL Statements
Chapter 2 – Restore and Back-up
Chapter 3 – Selection Commands: Filtering
Chapter 4 – Selection Commands: Ordering
Chapter 5 – Alias
Chapter 6 – Aggregate Commands
Chapter 7 – Group By Commands
Chapter 8 – Conditional Statement
Chapter 9 – Joins
Chapter 10 – Subqueries
Chapter 11 – Views and Index
Chapter 12 – String Functions
Chapter 13 – Mathematical Functions
Chapter 14 – Date – Time Functions
Chapter 15 – Pattern (String) Matching
Chapter 16 – User Access Control Functions

Data Science with R (Elective)

Chapter 1 – Introduction to Business Analytics
Chapter 2 – Introduction to R Programming
Chapter 3 – Data Structures
Chapter 4 – Data Visualization
Chapter 5 – Statistics for Data Science I
Chapter 6 – Statistics for Data Science II
Chapter 7 – Regression Analysis
Chapter 8 – Classification
Chapter 9 – Clustering
Chapter 10 – Association

Download Data Science Brochure

Best-in-class content by leading faculty & industry experts in the form of videos, industry projects, assignments & live sessions

Demand Of Data Scientist
We are on a mission to build impactful data science experts in the market.

DS professionals are in high demand in the industry. Companies need certified and eligible candidates to analyze the data and assist with data-driven decisions for businesses, helping them to scale in the future.

Be the Machine Learning Engineer, Decision Scientist, or Big Data Specialist of a company.
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Who Should Enroll

Data Science Certification

After completing the Data Science Training course successfully, acquire this prestigious recognition from myTrainingwala. You will be qualified in Natural Language Processing, Deep Learning, Business Intelligence/ Data Analytics, Business Analytics, and Data Engineering.

The certificate will serve as evidence of your expertise in Data Science. Avail greater job security and a good salary with IT Career

Inquire to Get Best Quote

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