Data Science 



Credge offers an advanced Data Science program specially designed for high school students. An opportunity to perform Statistical Modeling, learn to analyse Data, understand the different Regression Techniques and apply your Data Science knowledge in innovative projects like Chat Bots, Human speech recognition etc.

Course Duration

6-8 weeks


Live Interactive Classes

Who is it for?

Open for all

Salient features

Why Choose this Program?

A multitude of career opportunities.

Futuristic program.

A lucrative career. 

The skill of the Century.

What do Experts have to say

Have the master minds convince you. Know the future of the course you sign up for and Get set to grow. Apply Now!


Module 1: Basics concepts of Python
  • Introduces the Python Programming Language to the Students. We cover the concepts, python data types, data structure, control flow statements, and OOP concepts.

Module 2: Advance concepts of Python
  • Students are Introduced to the libraries like Pandas, NumPy and Data Visualisation tools like Matplotlib & Seaborn

Module 3: Statistical Concepts
  • Students learn to use mathematical and statistical models to predict future observations. They also understand how data scientists measure the success of these predictions
Module 4: Data Science Life Cycle
  • Students learn an end-to-end data science life cycle. They also understand the business requirements and model deployment

Module 5: Exploratory Data Analysis
  • Prepares students to learn about the various ways of collecting data, including Participatory Sensing, and the effect that data collection has on their interpretation of the patterns they discover, cleaning the data and preprocessing the data.

Module 6: Supervised Learning
  • Introduces the Regression techniques like linear regression and tree-based Methods and Kernel Methods. They are also introduced to Classification techniques like Logistics regression, Tree and boosting algorithms and naives bayes 

Module 7: Unsupervised Learning
  • Students are Introduced to the clustering techniques like Means, Hierarchical Clustering and dimension reduction techniques like PCA

Core Technologies

  • Python, Statistics
  • Business Understanding
  • Data Preparation
  • Data Cleaning
  • Scikit learn.
  • Machine Learning, Pandas, NumPy, Matplotlib, Algorithms 
  • Intro to Python 
  • Python Fundamentals
  • Data Handling using Python
  • Data Analysis 
  • Intro to Machine Learning 
  • Supervised Learning Algorithm
  • Unsupervised Learning Algorithm


Capstone Projects: 

Latest Data Science Project Ideas

  • Beginner Level | Data Science Project Ideas
    •  Climate Change Impacts on the Global Food Supply
    •  Fake News Detection
    •  Human Action Recognition
    •  Forest Fire Prediction
    •  Road Lane Line Detection
  • Data Science Projects Ideas |Intermediate Level
    • Recognition of Speech Emotion
    •  Gender and Age Detection with Data Science
    •  Driver Drowsiness Detection in Python
    •  Chatbots 
    •  Handwritten Digit & Character Recognition Project

  • Advance Level Data Science Projects Ideas
    • Credit Card Fraud Detection Project
    •  Customer Segmentation
    • Traffic Signs Recognition
    • Restaurant Review using NLP

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Learner-centered education for all!

We aim to bring in a tailored curriculum that provides learner-centered education to all our mentees. We’re on a mission to make our learners globally proficient by helping them harness their ultimate potential.

Evaluate your growth efficiently

You get to have access to top-notch evaluation, incorporated with instructions and feedback to improvise yourself.

Learning with adaptive technology tailored to your needs

Power ahead your learning with the brand new adaptive technologies in the market

Get mentored by mentors from prestigious companies

Get access to hone your knowledge and skills by getting personalized guidance from mentors of some world-class companies.

Insight dashboards for parents/students and professionals

Get access to your personalized learning dashboard to keep track and analyze your skills and growth.

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An opportunity to learn to analyse Data, perform Statistical Modelling ,understand the different Regression Techniques and apply your Data Science knowledge