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Data Science: Python and SQL Boot camp with Projects
Rating: 4.3 out of 5(98 ratings)
320 students

Data Science: Python and SQL Boot camp with Projects

Learn Python, SQL & Data Science with hands-on projects in Hindi. Master data analysis, visualization & ML from scratch!
Last updated 2/2026
Hindi

What you'll learn

  • Develop a solid foundation in Python and SQL, including syntax, data structures, and libraries, enabling learners to write efficient and clean code.
  • Gain a comprehensive understanding of fundamental data structures (such as arrays, linked lists, stacks, queues, trees, and graphs) and algorithms
  • Learn how to apply data structures and algorithms to solve practical problems, enhancing coding skills and preparing learners for technical interviews
  • Build confidence in solving coding challenges and improve problem-solving skills through hands-on exercises and interview-style questions

Course content

48 sections • 115 lectures • 37h 59m total length
  • AI Complete Crash Course for Beginners54:45
  • Master AI Tools & Core Concepts2:52:09
  • Master AI Tools1:44:33
  • Gemini 3.0 Pro Full Guide (2026)22:52

Requirements

  • Beginner Friendly
  • With Notes and Dataset

Description

Master Data Science with Python and SQL in this comprehensive Hindi boot camp! Designed especially for students outside India who are unable to access courses through our application and website due to OTP restrictions, this boot camp provides an accessible and structured learning experience.

Learn key concepts from scratch, including data analysis, visualization, and machine learning. Gain hands-on experience with real-world projects using Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. Explore SQL for data manipulation, querying, and database management.

This course simplifies complex topics with practical examples and Hindi explanations, making it ideal for beginners and aspiring data scientists. Develop essential problem-solving skills by working on industry-oriented projects:

  1. Zomato Case Study – In this project, we perform an in-depth exploratory data analysis (EDA) and create insightful visualizations based on a real-world Zomato dataset. The aim is to understand restaurant business trends, customer preferences, and food delivery patterns across different cities.


  2. Uber Case Study – The project starts with data cleaning steps such as handling missing values, correcting inconsistent formats (like timestamps), and removing duplicates. Then, data processing techniques like feature extraction (day, time, location from timestamps) and categorization are applied. This project builds strong foundational skills in preparing messy real-world data, deriving meaningful business insights, and creating impactful data stories — skills essential for both data analysts and aspiring data scientists.


  3. Air BNB Case Study – In this project, we work with a real-world Airbnb dataset to simulate a typical data science workflow. Starting with raw, messy data, we focus on rigorous data cleaning (handling missing values, fixing inconsistencies, formatting data types) and data processing (feature engineering, filtering, and grouping data). This project helps students strengthen their foundation in data preparation — the most critical step in data science — and trains them to extract actionable business insights to help platforms like Airbnb optimize listings, pricing, and user experience.


Whether you aim for a job in data science or want to strengthen your analytical skills, this boot camp equips you with the essential tools and techniques. Join now and transform your career with expert guidance, practical projects, and a structured learning path!"

Who this course is for:

  • Learn Python and SQL for Data Science and Data Analytics and how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!