TechnologyBeginner

Python for Data Analysis: pandas, NumPy & Jupyter

Name: Python for Data Analysis: pandas, NumPy & Jupyter
Price: 499 INR
Availability: InStock

Learn the fundamentals of data wrangling and analysis in Python using pandas, NumPy, and Jupyter. This course covers Python language basics, built-in data structures, functions, and the core libraries for scientific computing. Based on Wes McKinney's authoritative guide, you'll gain practical skills to manipulate, process, and clean structured data effectively.

What You'll Learn

Use IPython and Jupyter Notebooks for interactive data analysis

Manipulate data with pandas DataFrames and Series

Perform numerical computations with NumPy arrays

Write efficient Python code using built-in data structures and functions

Clean, transform, and aggregate structured datasets

Visualize data using matplotlib

About this course

Python for Data Analysis: pandas, NumPy & Jupyter is a self-paced beginner-level technology online course on GreyAcademy, taught by Saurav Singh. It has 21 modules and 32 chapters, and it takes about 10 hours to complete. Enrol once and learn at your own pace. You get a completion certificate when you finish all the lessons.

Topics covered: Python, Preface, What Kinds of Data?, Navigating This Book, Comments, Strings, List, sorted, itertools module, Basic Indexing and Slicing, Methods for Boolean Arrays, Index Objects and more.

Not sure where to start? Compare this with other online courses or follow a career roadmap.

Course Content

Module 1

Untitled Course

5 chapters

PythonLocked

→

Preface

Your Instructor

Student Reviews

Enter your review…

Students Also Bought

Technology

AI Engineer Course: Complete LLM & AI Agents Mastery

Saurav Singh

₹499

Technology

The Complete JavaScript Course 2026: Build Real Projects!

Saurav Singh

₹449

Technology

Flutter & Dart Complete Course - Build iOS & Android Apps

This Course Includes

Lifetime access

Mobile & desktop access

Certificate of completion

Price Breakdown

Course Fee:₹423

Platform Fee (18%):₹76

Total:₹499

All prices include a 18% platform fee

What Kinds of Data?Locked

→

Navigating This BookLocked

→

Module 2

Strings

2 chapters

StringsLocked

→

ListLocked

→

Module 3

sorted

2 chapters

sortedLocked

→

itertools moduleLocked

→

Module 4

Basic Indexing and Slicing

1 chapters

Basic Indexing and SlicingLocked

→

Module 5

Methods for Boolean Arrays

1 chapters

Methods for Boolean ArraysLocked

→

Module 6

Index Objects

1 chapters

Index ObjectsLocked

→

Module 7

Function Application and Mapping

1 chapters

Function Application and MappingLocked

→

Module 8

Working with Other Delimited Formats

2 chapters

Working with Other Delimited FormatsLocked

→

Handling Missing DataLocked

→

Module 9

Computing Indicator/Dummy Variables

1 chapters

Computing Indicator/Dummy VariablesLocked

→

Module 10

Creating dummy variables for modeling

1 chapters

Creating dummy variables for modelingLocked

→

Module 11

Reshaping with Hierarchical Indexing

1 chapters

Reshaping with Hierarchical IndexingLocked

→

Module 12

Adding legends

2 chapters

Adding legendsLocked

→

Other Python Visualization ToolsLocked

→

Module 13

Column-Wise and Multiple Function Application

1 chapters

Column-Wise and Multiple Function ApplicationLocked

→

Module 14

Pivot Tables and Cross-Tabulation

2 chapters

Pivot Tables and Cross-TabulationLocked

→

Frequencies and Date OffsetsLocked

→

Module 15

Converting Timestamps to Periods (and Back)

1 chapters

Converting Timestamps to Periods (and Back)Locked

→

Module 16

Binary Moving Window Functions

1 chapters

Binary Moving Window FunctionsLocked

→

Module 17

Introduction to scikit-learn

1 chapters

Introduction to scikit-learnLocked

→

Module 18

Measuring the increase in naming diversity

1 chapters

Measuring the increase in naming diversityLocked

→

Module 19

Reshaping Arrays

2 chapters

Reshaping ArraysLocked

→

ufunc Instance MethodsLocked

→

Module 20

numpy.searchsorted: Finding Elements in a Sorted Array

2 chapters

numpy.searchsorted: Finding Elements in a Sorted ArrayLocked

→

Executing Code from the ClipboardLocked

→

Module 21

Timing Code: %time and %timeit

1 chapters

Timing Code: %time and %timeitLocked

→

Saurav Singh

Trading expert with 15+ years of experience. Built 19 companies and invested in 78 startups.

sauravsingh@cre8r.in

Python for Data Analysis: pandas, NumPy & Jupyter

What You'll Learn

About this course

Course Content

Untitled Course

Your Instructor

Student Reviews

Students Also Bought

AI Engineer Course: Complete LLM & AI Agents Mastery

The Complete JavaScript Course 2026: Build Real Projects!

Flutter & Dart Complete Course - Build iOS & Android Apps

This Course Includes

Price Breakdown

Strings

sorted

Basic Indexing and Slicing

Methods for Boolean Arrays

Index Objects

Function Application and Mapping

Working with Other Delimited Formats

Computing Indicator/Dummy Variables

Creating dummy variables for modeling

Reshaping with Hierarchical Indexing

Adding legends

Column-Wise and Multiple Function Application

Pivot Tables and Cross-Tabulation

Converting Timestamps to Periods (and Back)

Binary Moving Window Functions

Introduction to scikit-learn

Measuring the increase in naming diversity

Reshaping Arrays

numpy.searchsorted: Finding Elements in a Sorted Array

Timing Code: %time and %timeit

Saurav Singh

Data Science & Machine Learning Masterclass 2026