Python Data Science Course With Numpy, Pandas and Matplotlib

4.6 ★★★★ ★

Python Data Science Course With Numpy, Pandas and Matplotlib

Name: Python Data Science Basic Course With Numpy, Pandas &amp; Matplotlib
Rating: 4.6 (132 reviews)
Author: Abhilash Nelson

Python Data Science Essentials: Learn the basics of Python data types, structures, and the NumPy & Pandas libraries.

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Abhilash Nelson

English [CC]

category icon Development ,Data Science,Python

Lectures -64

Resources -1

Duration -6 hours

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4.6 ★★★★ ★

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Course Description

This is a beginner-friendly and expert-led course that covers concepts of Python Data Science. This includes the basics of Python data types and structures, as well as the most important Data Science libraries: NumPy and Pandas. The course is self-paced, so you can learn conveniently at your own speed.

Python Data Science Basics Course Overview

Python Data Science Basics With Numpy, Pandas, and Matplotlib is a project-based course that starts with an introduction to Python, its applications, and its libraries. It will guide you to install Python and Anaconda, a platform that makes it easy to install and manage Python libraries.

The curriculum also involves guidance on how to use Jupyter Notebook, an interactive environment for writing and running Python code. We will then learn about the basic Python data types: strings, numbers, lists, tuples, and dictionaries.

You will also learn about NumPy and Pandas libraries. NumPy is a library for working with arrays, while Pandas is a library for working with tabular data. You will learn to use these libraries in order to perform operations such as data cleaning, analysis, and visualization. This course is ideal for Data science enthusiasts who want to begin their careers.

Here is an outline of the course curriculum:

Introduction to Python
Python for data science
Installing Python and Anaconda
Using Jupyter Notebook
Basic Python data types
Strings
Numbers
Lists
Tuples
Dictionaries
NumPy
Creating and manipulating NumPy arrays
Performing operations on NumPy arrays
Pandas
Creating and manipulating Pandas DataFrames
Cleaning and analyzing data with Pandas

Goals

Essential Python data types and data structure basics with libraries like NumPy and Pandas for Data Science or Machine Learning beginners.
Basic Python data types and operations
Basic data structures in Python: lists, tuples, and sets
Python dictionaries
The NumPy library: creating, manipulating, and analyzing NumPy arrays.
The Pandas library: creating, manipulating, and analyzing Pandas DataFrames.
Importing and exporting data from CSV and JSON files.
Data wrangling with Pandas: handling missing data, grouping data, and aggregating data.
Data visualization with Matplotlib: creating graphs and plots.
Visualizing data with Pandas

Prerequisites

A decent configuration computer and the willingness to lay the cornerstone for your big data journey.

Python Data Science Course With Numpy, Pandas and Matplotlib

Curriculum

Check out the detailed breakdown of what’s inside the course

Course Introduction and Table of Contents

1 Lectures

Course Introduction and Table of Contents 09:29 09:29

1 Lectures

Source Code

1 Lectures

Instructor Details

Abhilash Nelson

I am a pioneering, talented and security-oriented Android/iOS Mobile and PHP/Python Web Developer Application Developer offering more than eight years’ overall IT experience which involves designing, implementing, integrating, testing and supporting impact-full web and mobile applications.

I am a Post Graduate Masters Degree holder in Computer Science and Engineering.

My experience with PHP/Python Programming is an added advantage for server based Android and iOS Client Applications.

I am currently serving full time as a Senior Solution Architect managing my client's projects from start to finish to ensure high quality, innovative and functional design.