Learn Data scientist hindi Online: Free Course with AI Tutor & Certificate
Aspiring analysts looking to master machine learning will find this data science full course in hindi perfect. Across 6 hours and 32 video lessons, you'll explore supervised and unsupervised learning algorithms. You will build a solid foundation in feature selection, PCA, and parameter estimation to solve real-world analytical tasks.
What you'll learn in this Data scientist hindi course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Understand and apply core machine learning concepts, including supervised, unsupervised, and reinforcement learning techniques.
Implement various supervised learning algorithms such as Linear Regression, Decision Trees, and SVMs to solve real-world problems.
Utilize unsupervised learning methods like K-Means Clustering and Gaussian Mixture Modeling for data analysis and pattern recognition.
Perform feature selection and dimensionality reduction using techniques like Principal Component Analysis and Linear Discriminant Analysis.
Evaluate and optimize machine learning models through parameter estimation and understanding the bias-variance tradeoff.
Data scientist hindi course syllabus
01 Introduction To Machine Learning
- What is Machine Learning?
- Why You Should Learn Machine Learning?
- Roadmap To Become ML Expert
- How To Use ChatGPT for Machine Learning?
02 Machine Learning Core Elementals
- Difference Between Supervised, Unsupervised and Reinforcement Learning
- Data Normalization
- Datasets for Machine Learning
- Different Paradigms of Machine Learning
- Hypothesis Evaluation
03 Supervised Learning Techniques
- Linear Regression.
- Multi linear Regression.
- Logistic Regression
- K-Nearest Neighbours
- Decision Tree
- Random Forest
- Boosting
- SVMs (primal and dual forms)
- Naive Bayes
04 Unsupervised Learning Techniques
- K-Means Clustering
- Hierarchical Clustering
- Gaussian Mixture Modeling
- Apriori Algorithm
- Singular Value Decomposition (SV.
05 Parameter Estimation
- Bayesian Parameter Estimation
- Bias-Variance Tradeoff
- Maximum Likelihood
- VC-Dimensions and Distribution
06 Feature Selection and Dimensionality Reduction
- Linear Discriminant Analysis.
- Principal Component Analysis.
- Principal Component Analysis Implementation python
- Step Backward Feature Selection.
- Step Forward Feature Selection.
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Data scientist hindi course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Hindi speakers wanting to learn machine learning concepts in their native language.
- Software developers looking to transition into the data science field.
- University students needing a structured data science tutorial in hindi.
- Analysts who want to understand advanced algorithms like PCA and SVMs.
Prerequisites
- No prior machine learning experience is required to begin this course.
- Basic understanding of Python programming is highly recommended.
- Familiarity with high school level mathematics and statistics.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Data scientist hindi course: free, structured and job-focused
Hindi-speaking beginners and professionals aiming to understand machine learning will get exactly what they need here. This data science course in hindi teaches you the core mechanics of modern algorithms. You'll start with the Introduction To Machine Learning module, progressing through 32 video lessons over about 6 hours. The curriculum covers supervised learning techniques like Linear Regression, Decision Trees, and SVMs. You will also practice unsupervised learning techniques, using K-Means Clustering and Gaussian Mixture Modeling for pattern recognition.
As you move deeper into the material, you'll tackle complex topics like Parameter Estimation and Feature Selection and Dimensionality Reduction. The lessons explain how to use Principal Component Analysis and Linear Discriminant Analysis to clean and optimize your data. By understanding the bias-variance tradeoff, you can evaluate your models accurately. If you have been searching for a complete data science course in hindi, these 6 modules provide a highly structured path to mastering the fundamentals.
LearnTube makes studying simple and effective. We pair curated YouTube videos with an interactive AI tutor that tests your knowledge after every single lesson. The platform is completely free to learn on, so you do not have to worry about data science course fees in hindi while you study. If you want to verify your new skills, you can opt for a paid certificate at the end. Over 60,000 learners already use our system to build their resumes and connect with our 900+ hiring partners.
Jobs you can target after learning Data scientist hindi
Data scientist hindi is a gateway skill for some of the fastest-growing roles in tech.
Builds predictive models and analyzes large datasets to find trends.
Designs and deploys supervised and unsupervised learning algorithms.
Cleans data and uses clustering techniques to generate business reports.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Data scientist hindi certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Data scientist hindi course.
Is this data science course in hindi suitable for beginners?
Yes. The course starts with "What is Machine Learning?" and builds up gradually. You'll cover foundational topics before moving on to complex algorithms, making it highly accessible for newcomers.
Can I watch these data science classes in hindi on my phone?
Yes, LearnTube works perfectly on mobile devices. You can watch the 32 video lessons and take the AI-tutor quizzes from anywhere, allowing you to study completely at your own pace.
How long does this free data science course in hindi take?
It takes about 6 hours to complete all 6 modules. Since the platform is self-paced, you can finish the video lessons and quizzes over a single weekend or spread them out.
Do I have to pay data scientist course fees in hindi?
No, the learning content is completely free. You can watch all the videos and use the AI tutor without paying anything. The final certificate is an optional paid add-on.
What will I be able to do after finishing?
You'll know how to implement Linear Regression, Decision Trees, and K-Means Clustering. You can evaluate models using parameter estimation and apply dimensionality reduction techniques like PCA to real datasets.
Is learning data science in hindi still worth it?
Absolutely. Companies constantly need professionals who can handle data analysis and machine learning. Learning these concepts in your preferred language helps you grasp complex mathematics faster and build stronger models.
Does this data science full course in hindi include a certificate?
Yes, you can purchase an optional certificate after completing all the modules. Adding this document to your resume helps prove your new machine learning skills to our 900+ hiring partners.
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