Master Data Science from Scratch — No Experience Needed

Our Data Science Certification Program is a beginner-friendly, hands-on course designed to take you from zero to job-ready. Through live classes with expert instructors, real-world projects, and dedicated mentorship, you'll gain the skills and confidence to thrive in the data science industry.

What You’ll Learn:

• Python Programming: Build a strong foundation in programming with a focus on data handling, functions, and object-oriented design.

• Data Analysis & Visualization: Learn to clean, explore, and visualize data using libraries like Pandas, NumPy, Matplotlib, and Seaborn.

• Statistics & Math for Data Science: Understand probability, distributions, hypothesis testing, and linear algebra, the core concepts behind every model.

• Machine Learning: Dive into supervised and unsupervised learning techniques including regression, classification, clustering, and more.

• Deep Learning: Get introduced to neural networks and deep learning architectures to handle more complex data problems.

• SQL & Databases: Learn how to query, manage, and analyze structured data using SQL.

Real-World Experience: Work on 8+ practical projects that simulate actual industry scenarios. From analyzing real datasets to building ML models, you'll develop a portfolio that showcases your skills. Plus, get access to a 6-month internship to gain hands-on experience working on live problems.

Career Support: We don’t just teach, we help you launch your career. Get support with resume building, mock interviews, portfolio creation, and job preparation from mentors who’ve helped thousands of students land top roles. Our graduates go on to work in roles like Data Analyst, Machine Learning Engineer, and Data Scientist, with average salaries of 10 LPA.

Why Choose Us:

• 100% beginner-friendly

• Trusted by 10000+ learners

• Live doubt-solving and mentorship

• Flexible and structured learning path

If you’re serious about making a career in Data Science, this program gives you everything you need, the skills, the experience, and the guidance to succeed.