Learn Data Science.
Build With Data.
Build practical Data Science skills through Python, SQL, statistics, data visualisation and machine learning concepts. Learn by working with datasets, projects and real-world problem-solving approaches.
Learn Data Science by Building With Data.
Our learning approach combines concepts with practical exercises, datasets, projects and industry tools so you can understand how Data Science is applied in real business environments.
From Data Fundamentals to Practical Data Science.
This course is designed for learners who want to understand how data is collected, cleaned, analysed and transformed into meaningful insights and predictive solutions.
Python for Data Science
Learn Python fundamentals, data structures and practical programming techniques used for data analysis.
SQL & Data Querying
Work with databases, queries, filtering, joins, aggregation and data extraction techniques.
Statistics
Understand essential statistical concepts used to analyse patterns, relationships and data behaviour.
Data Visualisation
Learn how to communicate findings using meaningful charts, dashboards and visual storytelling.
Machine Learning Basics
Explore supervised and unsupervised learning concepts and understand how predictive models are developed.
Practical Problem Solving
Apply your knowledge to datasets and business-oriented problems through practical exercises and projects.
Learn With Industry-Relevant Tools.
Get practical exposure to tools commonly used across data analysis, visualisation and Data Science workflows.
A Structured Path From Basics to Projects.
Progress through a practical learning sequence designed to build your Data Science skills step by step.
Data Science Foundations
Understand the Data Science lifecycle, datasets, business problems and analytical thinking.
Python Fundamentals
Build programming fundamentals and learn how Python is used for data-related tasks.
Data Analysis With Python
Work with datasets, cleaning, transformation and exploratory analysis.
SQL & Databases
Query and analyse structured data using practical SQL techniques.
Statistics & Visualisation
Understand statistical thinking and present insights through meaningful visualisations.
Machine Learning Basics
Explore core machine learning concepts, workflows and introductory predictive modelling.
Model Evaluation
Understand basic evaluation approaches and how model results can be interpreted.
Capstone Project
Bring your learning together by working through a practical end-to-end project.
Learn by Working With Real Data.
Practical projects help you connect concepts with realistic business problems and build evidence of your skills.
Sales & Business Analysis
Analyse sales data, identify trends and create useful insights to support business decisions.
Customer Analytics
Explore customer behaviour, patterns and segmentation using structured datasets.
Predictive Analysis
Apply introductory machine learning concepts to a practical prediction-oriented problem.
Built For Learners Who Want Practical Skills.
The learning path is designed for learners who want to build practical technical skills and understand how data is used to solve real-world problems.
Students & Freshers
Build foundational Data Science skills and gain practical exposure to Python, SQL, statistics and projects.
Working Professionals
Strengthen your data skills and learn modern tools and techniques relevant to data-driven roles.
Career Switchers
Create a structured learning path toward Data Science and analytics by developing practical technical skills.
Data Enthusiasts
Learn how to work with data, uncover patterns and develop solutions using a practical learning approach.
Everything You Need to Plan Your Learning.
Course Information
Course Certification
Complete the required learning activities and course requirements to receive a course completion certificate from Tejas BI Academy, subject to the applicable certification criteria.
Build Skills With Your Career Goals in Mind.
Along with technical learning, we help learners prepare for career opportunities through practical guidance and career-focused activities.
Resume Guidance
Understand how to present relevant skills, projects and tools on your profile.
Interview Preparation
Prepare for common questions and improve your confidence through practice.
Career Guidance
Get direction on relevant learning paths and potential analytics career roles.
Questions About The Data Science Course?
Here are answers to some common questions learners ask before starting their Data Science journey.
Start Building Your Data Science Skills.
Explore the course, understand the learning approach and take the first step toward developing practical Data Science skills with Tejas BI Academy.