Scaler’s Data Science course is a comprehensive online program designed to take you from the fundamentals to advanced expertise in data science. It spans around 12 months of rigorous training, covering everything from basic tools (Excel, SQL, Python) and statistics to cutting-edge machine learning and deep learning techniques. The curriculum ensures you master all crucial skills for success in the field, backed by secure placement support.
What makes Scaler’s course stand out is its focus on industry readiness. Classes are live and interactive, led by top industry instructors (including experts who have built products like Facebook Messenger and Uber). You also get 1:1 mentorship from experienced data scientists throughout the program, with personalized guidance on projects, career advice, and doubt-solving.
With over 50+ hands-on projects and real-world case studies, you build a strong portfolio as you learn. On top of that, Scaler provides extensive career support—from resume workshops and interview preparation to networking opportunities with a community of 40,000+ peers and 900+ hiring partner companies. Many alumni have successfully transitioned into data science roles, often with significant salary hikes (median ~110% increase after completion).
Key Highlights of Scaler’s Data Science Course:
1:1 Mentorship by Industry Experts: Monthly mentorship and on-demand guidance from seasoned data scientists who know what skills you need to get hired.
Live Classes with Top Instructors: Learn through live online classes thrice a week, taught by instructors who have built world-class products.
Hands-on Projects & Case Studies: Work on 50+ projects, case studies, and assignments that mirror real business problems, ensuring practical experience.
Career Development Support: Access career counseling, mock interviews, resume building, and an alumni network to boost your job prospects in data science.
This holistic approach ensures that by the end of the course, you are not just certified, but truly job-ready as a data scientist, data analyst, data engineer, or business analyst.
