Course Description

The Data Science Career Accelerator is a comprehensive, hands-on offline program designed to take learners from fundamentals to job-ready data science professionals. Built for college students and working professionals, this course focuses on real-world skills, practical projects, and industry tools used by data scientists in top companies.

Starting with Python and SQL, learners progressively build expertise in statistics, data analysis, visualization, machine learning, deep learning, and big data using Apache Spark. The program is heavily project-driven, with 6 guided projects + 1 capstone, ensuring students graduate with a strong portfolio, real business problem exposure, and the confidence to crack interviews.

By the end of the program, learners will not only understand data science concepts but also apply them end-to-end — from data extraction to deployment and career preparation. 

Key Highlights:

• Hands-on projects
• Expert-led instruction
• Career support
• Industry-relevant curriculum

What you will learn 

By the end of this course, learners will be able to:

• Analyze, clean, and prepare structured data using Python, SQL, Pandas, and statistical techniques

• Create clear and impactful data visualizations and business dashboards using Python, Power BI, and Tableau

• Build, evaluate, and optimize machine learning models for real-world classification, regression, and clustering problems

• Develop and apply deep learning models for image and time-series data using TensorFlow and Keras

• Deploy end-to-end data science solutions and present a professional job-ready portfolio through capstone projects