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Data Science Training Program

Live Course
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interested count22k+ interested Geeks

Course Description

Unlock the world of data science with our Data Science Certification Training Program. Explore ML, Python, Advanced Analytics, NLP, LLM, GenAI its application in modern AI, and much more in this comprehensive course

levelBeginner to Advancecourse duration12 Weeks
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Complete 90% of the course in 90 Days and get 90% Refund!
For further queries reach us via Call/Whatsapp on:+919350419687

If they made it happen, so can you!

The three 90 challenge gave me a deadline which motivated me to maintain consistency in learning. The course is a wonderful opportunity for students who are looking to learn and grow.

- Fahad Rashid

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- Ranjeet Chaudhary

Overall course is amazing and well-structured. Thank you GFG for 90 days Challenge.

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Did learn a lot. Keep up the good work. 90 Days challenge was a real game-changer.

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I wouldn't be able to go easily on the path of dsa to Dev without your guidance & step my step guide. 90% refund gave me a boost to enroll for this course thank you once again

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It was a nice course and 90 day challenge gave me boost to complete it within time frame

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As a beginner, the structure of the whole course is good. And of course it is a THREE90CHALLENGE so there is no procrastination in learning which is quite good for us.

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First of all thanks for initiating this 90% refund policy because of this reason I have opted for this course. The course was well structured. And the live classes are the best.

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Course Overview

Why Choose This Course?

  • Comprehensive Program: Covers all key aspects of Data Science.
  • Doubt Resolving Sessions: Get live support from industry experts.
  • Extensive Learning: 100+ hours of live classes and recorded lectures.
  • Skill Assessments: Participate in 8+ contests.
  • Practical Experience: Solve 10+ design problems and case studies.
  • Knowledge Tests: Complete 15+ MCQ tests.
  • Career Support: Resume building and industry-recognized certificate.

Projects:

  • Performing Exploratory data analysis on Airbnb data.
  • Predict the income of an individual based on its social and financial attributes supervised learning
  • Market Basket Analysis unsupervised learning
  • Working on sentiment analysis for understanding natural language processing
  • Identifying hand written numbers from images - Computer Vision
  • Image and voice classification Deep learning model and many more
  • Project on Chatbot using LLM's 
Read more
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90% Fee Refund Available!

You ask, we deliver. On popular demand, 90% fee refund offer is back as a limited time offer. Enroll today, complete 90% course in 90 days, and get 90% fee back!

90 Days

What Sets Us Apart

Project-Based Learning

Limited Batch Strength

24 X 7 Doubt Support

Recognised Certification

Expert Mentors

Course Features
Project-Based Learning

Hands-on, practical exercises designed to enhance your learning experience and reinforce the concepts covered in the course. These projects serve as crucial components in the learning journey, as they allow you to apply the knowledge and skills gained in real-world scenarios. Eg: Wikipedia Scraper, PubG Predictive Analysis, Spell Checker & many more.

Read more

What Sets Us Apart

Project-Based Learning

Hands-on, practical exercises designed to enhance your learning experience and reinforce the concepts covered in the course. These projects serve as crucial componen

Read more...
Limited Batch Strength

Experience personalized learning and focused attention with our limited batch strength of 55-60 candidates, ensuring optimal student-teacher interac

Read more...
24 X 7 Doubt Support

A dedicated service provided with this course for free to help you overcome any doubt, at any time, and anywhere. So unlea

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Recognised Certification

Boost your coding street cred! Excel in the tech landscape with our comprehensive course and prestigious certificates that

Read more...
Expert Mentors

With a passion for teaching, our mentor(s) sessions will provide tailored guidance to all the aspiring coders. Launch a successful tech career with

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Course Content

01Week 1: Introduction to Data Science and Machine Learning

Day 1: Introduction to Data Science and Machine Learning

  • Overview of Data Science
  • Fundamentals of Machine Learning
  • Types of Machine Learning Algorithms
  • Applications of Data Science and Machine Learning
  • Introduction to Python programming language
  • Setting up Python environment
  • Running the first Python program

Day 2: Introduction to Python

  • Basic syntax and data types in Python
  • Working with variables and operators
  • Conditional Statements: IF Else
  • Using built-in functions and libraries

Day 3: Data Manipulation with Python

  • Loops
  • Lists, tuples, and dictionaries
  • User-defined functions
  • Functions such as map, filter, lambda
02Week 2: Data analysis using Python

Day 1: Knowing about the Numpy and Pandas and Required Libraries.

  • Numpy
  • Pandas

Day 2: Data Cleaning and Preprocessing with Pandas

  • Import and Exporting data
  • Handling missing data
  • Removing duplicates and dealing with Outliers
  • Cleaning and adjustments in data

Day 3: Exploratory Data Analysis (EDA) with Pandas/Numpy

  • Descriptive Statistics and data summarization
  • Grouping and Aggregating data
  • SQL-like operation in data
03Week 3:Working on Data with Python

Day 1: Data Visualization with Matplotlib/Seaborn

  • Creating Basic Plots (line plots, scatter plots, histograms)
  • Customizing and Styling Visualizations
  • Creating Informative and Aesthetically Pleasing Visualizations
  • Pair plots, Heatmaps, and Advanced Plotting technique

Day 2: Final Project and Case Studies

  • Participants work on a real-world data analysis project
  • Applying learned Python skills to analyze and visualize data

Day 3: Data Preprocessing and Exploration

  • Feature Engineering / Selection
04Week 4: Introduction to Math in Data Science

Day 1: Probability and Statistics

  • Basic Probability Concepts
  • Random Variables
  • Probability Distributions
  • Statistical Inference
  • Hypothesis Testing
  • Regression Analysis

Day 2: Statistical Analysis with Python

  • Measures of central tendency and dispersion
  • Hypothesis testing and confidence intervals
  • Correlation and regression analysis
  • ANOVA and chi-square tests

Day 3: Statistical Analysis with Scipy

  • Introduction to statistical tests and hypothesis testing
  • Implementing statistical tests in Python
Read more

Reviews and Ratings

Ramratan Sharma
Ramratan Sharma
Placed at The Bharat Groups
Learning will never become old, you must update yourself over time, and it will improve every aspect of life. Great thanks to GeeksforGeeks for quality content, your Data Science live course is awesome, especially thanks to Sandeep Jain for great content.

Reviews and Ratings

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Prateek Singh
Placed in Ericsson Global India Limited
I found the course to be very informative and well-structured. The materials and resources provided were helpful and gave me a solid understanding of the subject matter. I especially appreciated the way the content is delivered. The teaching style was engaging and made the material accessible and easy to understand. Enthusiasm for the subject matter was contagious and kept me motivated throughout the course. Live Lectures and Projects are just made to another level in this course. Thank you GeeksforGeeks for this course.
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Sagar Patle
Got Placed at Quantity kiosk Technology
This course helped me enhance my data analytics skills, enabling me to analyze large datasets effectively, derive meaningful insights, and make informed decisions based on data-driven evidence. Outstanding Course, really it contains amazing content.

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Frequently Asked Questions

01

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02

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03

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04

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05

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06

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07

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