You can find the course on the Apna College official website or their YouTube channel (where they provide many free videos), and the full paid course is available on their platform or via the Apna App .
The course is led by , the co-founder of Apna College and a former Software Development Engineer (SDE) at Microsoft. Her practical experience and relatable "Hinglish" (a mix of Hindi and English) teaching style have made her a beloved figure among students, who often refer to her as "Shraddha Didi". Her background adds significant credibility, especially for a course targeting placements at top tech companies.
: Raw data is "dirty"—it has missing values, duplicates, and errors.
However, if you prefer a slower, self-paced learning journey, or require a globally recognized university degree, other platforms like Coursera or upGrad might be better options. The course’s true value lies in its job-ready approach, but as with any program, your success ultimately depends on your consistency and hard work. The path to becoming a data scientist is demanding, but with the right structured guidance—and the right amount of your own effort—this course could be the launchpad you're looking for. apna college data science course
The is arguably the best "Bang for your Buck" course in the Indian market right now. It has successfully lowered the entry barrier to Data Science. It won't make you a Nobel Prize-winning AI researcher, but it will make you a competent Data Analyst or Junior ML Engineer capable of solving real business problems.
While it may not guarantee a job solely by watching the videos, it provides the necessary roadmap, skills, and community support for a student to become employable. For a student willing to put in the effort of self-study and project building, this course is an excellent starting point.
He pointed out she had leaked data from the future into her training set. A classic rookie mistake. She fixed it. Accuracy jumped to 84%. You can find the course on the Apna
The is one of the most popular comprehensive Data Science programs in the Indian Ed-Tech space. Created by Shradha Khapra and Aman Dhattarwal , the course is designed to take students from a beginner level to a job-ready Data Analyst or Data Scientist. It distinguishes itself by combining technical skills with a heavy emphasis on placement preparation and soft skills.
: Advanced modules covering neural networks and modern Generative AI technologies. Practical Projects
Concepts are explained in simple, easy-to-understand Hinglish/English. The course’s true value lies in its job-ready
Probability, Statistics, and Linear Algebra, presented in a simplified manner suitable for non-technical backgrounds. 2. Data Science & Machine Learning
Learners gain proficiency in handling data sets, cleaning data, and visualizing patterns to draw actionable insights.
: Python programming, storytelling with data, and essential mathematics .
The 2026 roadmap spans from basics to advanced AI/ML topics, designed to make learners industry-ready.