Menu
Menu

    LIVE Classes

    VLSI Design Programme
    VLSI Design Programme New

    IIT Delhi certified

    AI & Machine Learning
    AI & Machine Learning New

    Intel & IIT-M Pravartak certified

    Data Science
    Data Science

    IIT-M Pravartak certified

    Full Stack Development
    Full Stack Development

    IIT-M Pravartak certified

    UI/UX Design
    UI/UX Design

    HCL GUVI certified

    AI DevOps Program
    AI DevOps Program

    HCL GUVI certified

    Courses

    Practice

    CodeKata

    CodeKata

    Sharpen your coding skills, prepare for interviews

    WebKata

    WebKata

    Build basic frontend & backend development skills

    SQLKata

    SQLKata

    Master SQL concepts in relational database management

    FixTheCode

    FixTheCode

    A series of programs curated by industry experts

    IDE - Online Compiler

    IDE - Online Compiler

    Run & test your code in any programming language

    Resources

    Free Resources

    Free Resources

    Referral

    Referral

    Success Stories

    Success Stories

    Blogs

    Blogs

    Learn Hub

    Learn Hub

    Get The App

    Get The App

    Rewards

    Rewards

    Become an Affiliate

    Become an Affiliate

    Leaderboard

    Leaderboard

    What's New?
    Resume Builder

    Resume Builder

    Community Hub

    Community Hub

    Our Products

    HackerKID

    HackerKID

    Coding classes platform for K-12 children

    GUVI For Corporates

    GUVI For Corporates

    Meet your Hiring & Training Needs

    Placement Preparation

    Placement Preparation

    Ace Up your Aptitude

    Play StoreApp Store
Still Confused?WhatsApp

Welcome to HCL GUVI

Hey there! Welcome to HCL GUVI—Grab Your Vernacular Imprint—where tech learning is easy, fun, and curated specially for you. Incubated by IIT Madras & IIM Ahmedabad in 2014 and now part of HCL Group, we're making quality tech education accessible to all.

Join 3M+ learners breaking barriers and upskilling for a brighter future. We're here to guide you every step of the way! 🚀

LIVE Classes

Zen Classes are HCL GUVI's most refined and flagship product—live, expert-led tech programs for beginners and pros. With IITM Pravartak affiliations, master Full-Stack, Data Science, DevOps, UI/UX, and more in multiple languages!

Explore More

Courses

Looking for flexibility? HCL GUVI's 200+ self-paced courses let you learn anytime, anywhere! From free lessons to IIT-M & Autodesk-certified programs, gain in-demand skills in your preferred language.

Explore More

Practice Platforms

Enhance your coding skills with HCL GUVI's Practice Platforms—interactive, structured, and designed to help you master programming effortlessly.

CodeKata:

A structured coding practice platform with 1500+ coding problems designed by industry experts. Ideal for beginners and professionals preparing for tech interviews with real-world coding challenges.

Try Now >

WebKata:

An interactive platform to master HTML, CSS, JavaScript, and Bootstrap with a live coding environment. Perfect for hands-on web development practice without any setup.

Try Now >

SQLKata:

A practice ground for mastering SQL queries used in real-world applications. Write, optimize, and refine your queries to build strong database skills.

Try Now >

FixTheCode:

Hone your bug-fixing skills with real-world debugging challenges in Python, C++, JavaScript, and Golang. More languages coming soon!

Try Now >

IDE:

A free online compiler supporting 20+ programming languages with auto-complete, debugging, and AI-powered code generation—all in the cloud!

Try Now >

Leaderboard

Climb the leaderboard as you earn Geekoins by learning and practicing! The top scorers get featured, making learning competitive and rewarding. Keep going—you could be next!

Explore More

Rewards

Earn Geekoins by watching videos and practicing problems, then redeem them for exciting rewards. The more you engage, the more you win!

Explore More

Referral

Love learning with HCL GUVI? Share it with friends! Invite them using your unique link or code and unlock exciting rewards—Amazon vouchers, iPhones, and more. A Win-Win.

Explore More

Profile

Your HCL GUVI profile is your digital portfolio! Track progress, showcase skills, add projects, and build a resume. Keep it updated—opportunities await!

Explore More

That's It! You Are Ready!

You're all set to dive into your learning journey with HCL GUVI. Explore, upskill, and make each step count—exciting possibilities awaits!

Thank you for Reaching us out

Our team will reach you out
within the next 24 hours.

Explore all Programs
  • Home
  • Python for Data Science

Python for Data Science

Share

You can share this topic with your family and friends on Social Media.

Share in

This handbook introduces Python for Data Science, covering essential libraries, data cleaning, exploratory data analysis, statistical concepts, data visualization, feature engineering, and machine learning. It includes practical code examples and real-world projects such as sales data analysis and customer churn prediction. You will also learn model evaluation, cross-validation, hyperparameter tuning, and how to build a portfolio while exploring career paths and skills needed to pursue opportunities in data science.

15 Modules

88 Lessons

English

1.5 Hrs

Show more

Learn via Video Course

undefined Logo

NaN hrs

Reading Plan

MODULE 1

Introduction to Python for Data Science

6 mins
lessonUnderstanding Data Science and the Role of Python

1 min

lessonWhy Choose Python for Data Science?

1 min

lessonUnderstanding the Data Science Workflow

1 min

lessonEssential Python Libraries for Data Science

1 min

lessonSetting Up a Python Environment for Data Science

1 min

lessonYour First Data Science Analysis in Python

1 min

MODULE 2

Python Fundamentals for Data Science

6 mins
lessonVariables and Data Types in Python

1 min

lessonOperators and Expressions

1 min

lessonConditional Statements

1 min

lessonLoops for Repetitive Data Tasks

1 min

lessonFunctions for Reusable Analysis

1 min

lessonHandling Errors and Writing Reliable Code

1 min

MODULE 3

Python Data Structures and Functions for Data Analysis

6 mins
lessonWorking with Lists

1 min

lessonTuples, Sets, and Dictionaries

1 min

lessonList Comprehensions for Data Transformation

1 min

lessonLambda Functions and Built-in Functional Tools

1 min

lessonUnderstanding Iteration and Generators

1 min

lessonChoosing the Right Data Structure

1 min

MODULE 4

NumPy for Numerical Computing

6 mins
lessonIntroduction to NumPy Arrays

1 min

lessonCreating and Accessing NumPy Arrays

1 min

lessonPerforming Mathematical Operations

1 min

lessonFiltering Data with Boolean Indexing

1 min

lessonReshaping and Combining Arrays

1 min

lessonHandling Missing Values and Random Data

1 min

MODULE 5

Pandas for Data Manipulation

6 mins
lessonIntroduction to Pandas and Its Data Structures

1 min

lessonExploring a Dataset

1 min

lessonSelecting and Filtering Data

1 min

lessonCleaning and Transforming Data

1 min

lessonSorting, Grouping, and Aggregating Data

1 min

lessonCombining DataFrames and Creating Pivot Tables

1 min

MODULE 6

Loading Data from Files APIs and Databases

6 mins
lessonReading CSV and Excel Files with Pandas

1 min

lessonWorking with JSON and Text Files

1 min

lessonLoading Data from Web APIs

1 min

lessonConnecting Python to Databases

1 min

lessonProcessing Large Datasets Efficiently

1 min

lessonSaving and Exporting Processed Data

1 min

MODULE 7

Data Cleaning and Preprocessing

6 mins
lessonUnderstanding Data Quality Issues

1 min

lessonHandling Missing Data

1 min

lessonRemoving Duplicates and Standardizing Data

1 min

lessonCorrecting Data Types and Invalid Values

1 min

lessonDetecting and Handling Outliers

1 min

lessonBuilding a Reusable Data Cleaning Workflow

1 min

MODULE 8

Exploratory Data Analysis (EDA)

6 mins
lessonUnderstanding Exploratory Data Analysis

1 min

lessonAnalyzing Numerical and Categorical Data

1 min

lessonUnderstanding Data Distributions

1 min

lessonExploring Relationships Between Variables

1 min

lessonInvestigating Missing Values and Outliers During EDA

1 min

lessonPerforming a Complete EDA Workflow

1 min

MODULE 9

Data Visualization with Matplotlib and Seaborn

6 mins
lessonIntroduction to Data Visualization

1 min

lessonCreating Charts with Matplotlib

1 min

lessonCustomizing Charts and Using Multiple Plots

1 min

lessonCreating Statistical Visualizations with Seaborn

1 min

lessonExploring Relationships and Distributions with Seaborn

1 min

lessonBuilding a Practical Visualization Workflow

1 min

MODULE 10

Interactive Visualization with Plotly

6 mins
lessonIntroduction to Interactive Data Visualization

1 min

lessonCreating Interactive Line and Bar Charts

1 min

lessonExploring Data with Scatter Plots and Histograms

1 min

lessonCreating Interactive Statistical and Geographic Charts

1 min

lessonCustomizing Charts with Plotly Graph Objects

1 min

lessonBuilding and Sharing an Interactive Data Report

1 min

MODULE 11

Statistics and Probability for Data Science with Python

6 mins
lessonUnderstanding the Role of Statistics in Data Science

1 min

lessonMeasures of Central Tendency and Variability

1 min

lessonUnderstanding Probability and Common Distributions

1 min

lessonSampling, Population, and the Central Limit Theorem

1 min

lessonCorrelation, Covariance, and Hypothesis Testing

1 min

lessonConfidence Intervals and Applying Statistics to Data Science

1 min

MODULE 12

Feature Engineering and Data Preparation

6 mins
lessonUnderstanding Feature Engineering

1 min

lessonCreating and Transforming Features

1 min

lessonEncoding Categorical Variables

1 min

lessonScaling and Normalizing Numerical Features

1 min

lessonFeature Selection and Handling Imbalanced Data

1 min

lessonBuilding a Reusable Data Preparation Pipeline

1 min

MODULE 13

Introduction to Machine Learning with Scikit-learn

6 mins
lessonUnderstanding Machine Learning

1 min

lessonSetting Up Scikit-learn and Training Your First Model

1 min

lessonUnderstanding Regression Algorithms

1 min

lessonUnderstanding Classification Algorithms

1 min

lessonExploring Unsupervised Learning with Clustering

1 min

lessonEvaluating and Saving a Machine Learning Model

1 min

MODULE 14

Model Evaluation and Improvement

6 mins
lessonUnderstanding Model Evaluation and Generalization

1 min

lessonEvaluating Regression Models

1 min

lessonEvaluating Classification Models

1 min

lessonUsing Cross-Validation for Reliable Evaluation

1 min

lessonDetecting Overfitting and Underfitting

1 min

lessonHyperparameter Tuning and Improving Models

1 min

MODULE 15

Real-World Python Data Science Projects and Career Roadmap

4 mins
lessonApplying Python to Real-World Data Science Problems

1 min

lessonProject 1 - Sales Data Analysis

1 min

lessonProject 2 - Customer Churn Prediction

1 min

lessonPython Data Science Career Roadmap

1 min

Python for Data Science

This handbook covers Python for Data Science, from programming fundamentals and data manipulation to statistics, visualization, feature engineering, and machine learning. Explore practical examples using Pandas, NumPy, Matplotlib, Seaborn, Plotly, and Scikit-learn. Work on real-world projects such as sales data analysis and customer churn prediction while learning model evaluation, hyperparameter tuning, and essential skills for building a data science career.

Python for Data Science Tutorial for Beginners

Learn Python for Data Science with hands-on tutorials on Pandas, NumPy, statistics, data visualization, machine learning, real-world projects, and career skills.

Python for Data Science Tutorial for Beginners

Learn Python for Data Science with hands-on tutorials on Pandas, NumPy, statistics, data visualization, machine learning, real-world projects, and career skills.

Prerequisites

This course is suitable for:

  • Basic knowledge of Python programming, including variables, loops, functions, and data structures.
  • Familiarity with basic mathematics and statistics is helpful but not mandatory.
  • A computer with Python installed, along with Jupyter Notebook or Google Colab, for practicing code examples.
  • An interest in data analysis, visualization, and machine learning.

Run & Test your Code with our very own IDE that supports 16 languages

Open IDE

Hey There!

You have Successfully Completed the Handbook
Tap a star to rate the Handbook

Oops!

ZEN CLASS

LIVE CLASS

Popular Courses

Self-Paced Courses

Practice Platforms

Community

Products

Resources

Company

ZEN CLASS

LIVE CLASS

Popular Courses

Self-Paced Courses

Practice Platforms

Community

Products

Resources

Company

app store
play store
Refer & Earn

HCL GUVI (Grab Your Vernacular Imprint) Geek Network Private Limited is a leading online learning and skills development company, incubated by IIT Madras and IIM Ahmedabad.

Established in 2014 and acquired by the HCL Group in 2022, HCL GUVI is dedicated to providing effective and high-quality learning and skilling programs that transcend language barriers in technology education. HCL GUVI today is trusted by over 4.8 million users, 20 languages and 2500+ corporate partners.

app storeplay store
Refer & Earn

HCL GUVI (Grab Your Vernacular Imprint) Geek Network Private Limited is a leading online learning and skills development company, incubated by IIT Madras and IIM Ahmedabad.

Established in 2014 and acquired by the HCL Group in 2022, HCL GUVI is dedicated to providing effective and high-quality learning and skilling programs that transcend language barriers in technology education. HCL GUVI today is trusted by over 4.8 million users, 20 languages and 2500+ corporate partners.

app storeplay storeRefer & Earn
Terms and ConditionsPrivacy Policy

HCL GUVI Geek Network Pvt. Ltd.

Terms and ConditionsPrivacy Policy

HCL GUVI Geek Network Pvt. Ltd.