Complete Machine Learning & Data Science Course

Self-Paced Course

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👁 interested count
585k+ interested Geeks

Become an industry-ready Data Scientist from the ground up.

Master the end-to-end lifecycle: clean, analyze, and visualize complex datasets.
Advance from Python and Statistical Mathematics to specialized applications with Spacy and OpenCV.
Automate web scraping pipelines and build predictive models with SQL and XGBoost.
Evaluate and present your analytical insights through dynamic dashboards using Power BI and Tableau.
Work on 25+ real-world guided projects to enhance your portfolio.

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👁 level
Beginner to Advanced👁 Image
👁 course duration
12 Weeks

Beginner FriendlyCourse CertificateIndustry ReadinessCapstone Projects

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Most Affordable Resource to Master Python, ML & DS!

Course Overview

170+ Hours of
Video Content

950+ Practice
MCQs

550+ In-depth
Articles

100+ Practice
Problems

👁 Python Programming

Python Programming & Automation

Master Python basics, OOP, and file handling to build robust automated scripts and data scrapers.

👁 Mathematics & Statistics

Applied Mathematics & Statistics

Grasp core algorithms deeply via probability, statistics, calculus, and linear algebra.

👁 Data Wrangling

Comprehensive Data Wrangling

Clean, transform, and analyze datasets using Pandas, NumPy, and Excel Power Query.

👁 Database Management

Database Management & SQL

Utilize advanced SQL and query optimization to efficiently retrieve enterprise data.

👁 Business Intelligence

Business Intelligence & Dashboarding

Design interactive, dynamic dashboards with Power BI, DAX, and Tableau.

👁 Machine Learning

Predictive Machine Learning

Train and evaluate supervised, unsupervised, and ensemble models, including XGBoost.

👁 NLP & Computer Vision

NLP & Computer Vision

Build text prediction models with Spacy and manipulate real-time video using OpenCV.

For Your Resume

Skills You'll Gain

Data Preprocessing & Cleaning Exploratory Data Analysis (EDA) Statistical Hypothesis TestingWeb Scraping & Automation Database Query Optimization Interactive Data Visualization & DashboardingMachine Learning Algorithm Design Natural Language Processing (NLP) Computer Vision & Real-time Image Processing Time Series Forecasting & Anomaly Detection

Tools You'll Learn

Python

Pandas & NumPy

SQL & MongoDB

Microsoft Excel

Selenium

Power BI & Tableau

Spacy (NLP)

OpenCV (Computer Vision)

XGBoost & AdaBoost

Course Content

01Python Basics for Data Science

Python Fundamentals

Getting Started with Python, Conditionals and Flow Control, Data Structures
Function, OOPs, Special Functions, Exceptions

File I/O and Operating System

Getting Started with Files, JSON and CSV Handling
OS fundamentals, OS with Python, Managing Environment Variables

02Maths for Data Analysis

Statistics

Descriptive Statistics, and Sampling
Hypothesis Testing, Correlation and Covariance

Probability

Introduction to Probability, Probability Distributions
Bayes Theorem

03Comprehensive Data Analysis

Data Analysis with Python

Introduction to Data Analytics
Getting started with Pandas, Introduction to EDA
Data Cleaning, Data Visualization
Data Analytics with MongoDB, Data Analytics with AI

Data Analysis with Excel

Overview of Excel Interface, Navigating Sheets Efficiently
Math Functions, Logical Functions, Text functions, Lookup Functions
INDEX MATCH, xIF Functions, Nested Functions
Power Query: Import, Transform, Merge, Append, Pivot tables from multiple sources
Dynamic Dashboards, Slicers, Combo Charts, Layout Optimization

Retrieving Data using Web Scraping

Introduction To Web Scraping, Working with Selenium
Scraping Text, Images, Videos and Real-time Data
Web Scraping Automation

Reframing Data with NumPy

NumPy Arrays, Essential Array Operations
Linear Algebra with NumPy
Working with Files, Data Cleaning and Analysis with NumPy
NumPy Beyond Numbers

04SQL for Data Analysis

Moving from Basics to Advanced SQL

SQL-Fundamentals, Data Retrieval with SQL, Data Cleaning with SQL
Advanced SQL Techniques, Query Optimisation Techniques

What Sets Us Apart

👁 Recognised Certification

Recognised Certification

Earn an industry-recognized GeeksforGeeks Training Certificate for credible validation, career advancement, and lifetime

👁 Course Benefits

Course Benefits

1-year Access to the online Course materials and Premium Recorded videos

Video Testimonials

Prince Gupta

Ashutosh Pandey

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Pricing

Testimonials

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Learning will never become old, you must update yourself over time, and it will improve every aspect of life. Great thanks to GeeksforGeeks for quali...

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👁 Ram Sharma

Ram Sharma

Placed at The Bharat Groups

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Before joining the Geeks for Geeks "Data Science live" course, I had only a basic knowledge of python. But after joining the live classes I acquired a...

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👁 ABDULLAH FAZILI

ABDULLAH FAZILI

Placed at GeeksforGeeks

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As a newbie in the field of Data Science, Python, and Machine Learning, this course was extremely helpful to me in a variety of ways. First, it was so...

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👁 Eshant Das

Eshant Das

Placed at GeeksforGeeks

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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 ...

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👁 Prateek Singh

Prateek Singh

Placed in Ericsson Global India Limited

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This course helped me enhance my data analytics skills, enabling me to analyze large datasets effectively, derive meaningful insights, and make inform...

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👁 Sagar Patle

Sagar Patle

Got Placed at Quantity kiosk Technology

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In this course I was able to understand all the concepts clearly and also I did projects which helped me to get hands on practice on language and tool...

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👁 Harsh

Harsh

Placed at Marvell

Frequently Asked Questions

How long will I get access to the online course material available with this course?

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URL: https://www.geeksforgeeks.org/courses/complete-data-science-course-with-machine-learning