Start Your Coding Journey at CrunchTutor

Join Us as We Transform Young Minds, K-12, into Future Tech Innovators

Your Journey Starts Here Choose your pace and embark on your coding journey with us. We offer two learning paths to cater to your schedule and learning style:

  • Regular Stream: A structured learning experience spread over 10 days with 1-hour sessions each day.
  • Accelerated Stream: Swift progression with 2-hour sessions over 5 days, fitting perfectly into evenings, weekends, and holidays.

Our Curriculum We've mapped out a progressive coding experience that spans three distinct levels.

  • Starting Young: Our beginner level introduces young learners to Scratch, a visual-based programming language that makes coding intuitive and fun.
  • Taking Flight: For the older kids ready to take on more challenges, we offer Python, Java, and C++. Within Python, we provide two unique tracks to specialize in: Data Analytics and AI/ML.
  • Mastering the Art: For those who've grasped the basics and are ready for serious coding, we transition you to our comprehensive Data Science track.

Note: Each level in the diagram represents 10 hours, and all of our courses are also available to working professionals who are looking to upgrade their skills or change careers.

  • Holistic Approach: Our blend of theory and hands-on projects ensures effective understanding and application of each concept.
  • Learn Together, Save Together: Enroll with a buddy, save on course costs, and enrich your learning experience through collaborative problem-solving and peer discussions.

Ready to start your coding journey with us? Email us at

  • Scratch : Scratch programming course is designed in six comprehensive levels. Level 1 introduces Scratch basics, interface, and tools, culminating in a simple interactive story or animation. Level 2 explores game development basics, where learners add levels, challenges, and sounds to their games. Level 3 delves into intermediate Scratch programming, introducing the Sensing and Operators blocks, conditional statements, loops, variables, and lists. Level 4 builds on advanced concepts, such as broadcasting messages, creating custom blocks, and using clones. Levels 5 and 6 are dedicated capstone projects where students apply all learned principles and concepts to design and develop their games, emphasizing planning, project work, and presentations.
  • Python : Python curriculum is divided into five levels. Level 1 begins with an introduction to Python, syntax, control flows, and functions. Level 2 introduces Python libraries and delves into the nuances of strings, lists, and dictionaries. Level 3 guides students to intermediate Python programming, covering file I/O operations, Python modules, and classes. Level 4 culminates in advanced Python programming, introducing multi-threading, API interaction, and database management. The final days of each level are dedicated to project development and presentation, allowing students to practice and apply their learned concepts. Level 7, where students learn web scraping, data extraction, and parsing HTML using Python libraries like requests and BeautifulSoup.
  • The Python for Data Analytics track continues with an additional two levels. Level 5 is an introduction to Data Analysis with Python, focusing on data manipulation, cleaning, and visualization using Python libraries like Pandas, Matplotlib, and Seaborn. Level 6 engages students in a capstone project, involving comprehensive data analysis on real-world data. Students deep dive into data cleaning, preprocessing, visualization, and interpretation, reinforcing their data analytics skills.
  • For those leaning towards artificial intelligence and machine learning, CrunchTutor offers Python for AI & ML track. Here, Level 5 is an introduction to Machine Learning with Python, where students explore various learning models and neural networks. This level also introduces TensorFlow and Keras for deep learning. Level 6 is another capstone project, this time focusing on building a functional AI or ML model using libraries such as Scikit-Learn, TensorFlow, or PyTorch.
  • Java: CrunchTutor's Java curriculum offers a comprehensive four-level program, each ending with a project presentation. Level 1 introduces Java basics, including syntax, control flow, methods, and error handling. Level 2 dives into object-oriented programming, exploring Java classes, objects, strings, arrays, inheritance, and polymorphism. The intermediate third level covers file I/O operations, Java packages, libraries, interfaces, and abstract classes. Lastly, the advanced fourth level familiarizes students with multi-threading, Java collections, exception handling, assertions, and Java database connectivity with MySQL and SQLite. Each level provides students with an opportunity to experiment, practice, and create projects that reinforce their understanding of the covered topics.
  • C++: CrunchTutor's C/C++ curriculum provides a four-level comprehensive learning path. Level 1 initiates the journey with C/C++ basics, including syntax, control flow, functions, and error handling. Level 2 deepens understanding through concepts such as pointers, memory management, strings, arrays, structures, and recursion. In Level 3, the focus shifts to intermediate topics like file I/O operations, libraries, and object-oriented programming in C++, including classes and inheritance. The fourth and final level explores advanced C/C++ concepts such as dynamic memory management, the Standard Template Library (STL), exception handling, templates, and other advanced features. Each level culminates with a project, enabling students to practice, experiment, and consolidate their new knowledge.
  • Data Science with Python Track: This is an in-depth course on Data Science with Python, segmented into four progressive levels. Level 1 provides an introduction to Python and fundamental libraries like NumPy and pandas, teaching participants how to create line charts for stock trend analysis and calculate basic statistical measures. Level 2 escalates to intermediate statistics, including correlation and regression analyses, and data visualization techniques with seaborn. In Level 3, the course introduces advanced statistical concepts such as computing daily returns, volatility, beta values, and using time-series analysis for stock price forecasting. The final Level 4 focuses on applied statistics, covering optimization problems using scipy.optimize and tackling real-world problem-solving with stock market data. Throughout the program, participants work on case studies, and for their final project, they develop a comprehensive stock market analysis dashboard in Python, allowing them to consolidate and apply the skills they've learned throughout the course.
  • Data Science with Excel & Google Sheet Track: This is a comprehensive course on Data Science with Excel and Google Sheets, organized into four levels. Level 1 introduces the basics of using Excel and Google Sheets, covering aspects like charts, basic statistical analysis, and the creation of dynamic spreadsheets for tracking stock price statistics. Level 2 delves into intermediate statistics with a focus on Excel and Google Sheets functions, correlation analyses, regression analyses, and data visualization techniques for stock price prediction. Level 3 provides an advanced statistical overview, teaching participants how to calculate daily returns, volatility, and beta values for stocks, and the use of time-series analysis for stock price forecasting. The final level, Level 4, applies these statistical techniques to real-world problem-solving, including portfolio optimization, solving case studies, and the development of a comprehensive stock market analysis dashboard. Throughout the course, participants will use stock market data for hands-on learning, further enhancing their understanding and practical application of the concepts learned.
  • Ready to start your coding journey with us? Email us at