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Data Science: Python for Data Analysis Full Bootcamp (Udemy.com)

Learn and build your Python Programming skills from the ground up in addition to Python Data Science libraries and tools

Created by: Ahmed El Mohandes

Last updated June 2023

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What you will learn

  • Code with Python Programming Language
  • Python Functional Programming
  • Structure Data using collection containers
  • Object-Oriented Design
  • Advanced Python Foundations
  • Handling Data with Python Libraries
  • Numerical Python
  • Extracting and Analyzing data from different resources
  • Data Analysis with Pandas
  • Data Visualization using matplotlib
  • Advanced Visualization with Seaborn
  • Build Python solutions for data science
  • Get Instructor QA Support and help

How it compares

Against the other 388 rated Udemy courses in Python on CourseDuck:

  • Rating4.4 out of 5higher than 37% of them
  • Reviews2,510#120 of 389 by number of reviews
  • Length6.2 hoursshorter than 65% of them
  • Last updatedJune 2023earlier than 50% of them

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Course Description

Hello and welcome to Data Science: Python for Data Analysis Full Bootcamp.

Data science is a huge field, and one of the promising fields that is spreading in a fast way. Also, it is one of the very rewarding, and it is increasing in expansion day by day, due to its great importance and benefits, as it is the future.

Data science enables companies to measure, track, and record performance metrics for facilitating and enhancing decision making. Companies can analyze trends to make critical decisions to engage customers better, enhance company performance, and increase profitability.

And the employment of data science and its tools depends on the purpose you want from them.

For example, using data science in health care is very different from using data science in finance and accounting, and so on. And I’ll show you the core libraries for data handling, analysis and visualization which you can use in different areas.

One of the most powerful programming languages ​​that are used for Data science is Python, which is an easy, simple and very powerful language with many libraries and packages that facilitate working on complex and different types of data.


This course will cover:

  • Python tools for Data Analysis

  • Python Basics

  • Python Fundamentals

  • Python Object-Oriented

  • Advanced Python Foundations

  • Data Handling with Python

  • Numerical Python(NumPy)

  • Data Analysis with Pandas

  • Data Visualization with Matplotlib

  • Advanced Graphs with Seaborn

  • Instructor QA Support and Help

HD Video Training + Working Files + Resources + QA Support.

In this course, you will learn how to code in Python from the beginning and then you will master how to deal with the most famous libraries and tools of the Python language related to data science, starting from data collection, acquiring and analysis to visualize data with advanced techniques, and based on that, the necessary decisions are taken by companies.

I am Ahmed Ibrahim, a software engineer and Instructor and I have taught more than 500,000 engineers and developers around the world in topics related to programming languages ​​and their applications, and in this course, we will dive deeply into the core Python fundamentals, Advanced Foundations, Data handling libraries, Numerical Python, Pandas, Matplotlib and finally Seaborn.

I hope that you will join us in this course to master the Python language for data analysis and Visualization like professionals in this field.

We have a lot to cover in this course.

Let’s get started!

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Instructor Details

Ahmed El Mohandes

Transforming lives through code and data: Meet Ahmed El Mohandes, your expert guide to the world of software engineering and data science.

With over 750,000 students from 190+ countries under his wing, Ahmed's passion for simplifying complex skills shines through in everything he does.


He's not just an instructor, he's a bridge builder:

- Expert Software Development Engineer: Bringing years of real-world experience to the classroom.

- Data Science & ML Expert: Demystifying data analysis and machine learning with practical insights.

- Training Content Expert & Lead Instructor: Crafting high-quality, engaging courses that cut through the noise and get you results.


His expertise spans the digital landscape:

- Languages: Python, R, JavaScript, Java, Go (and counting)

- Data Science: Master the tools and libraries for powerful data analysis and visualization.

- Databases: Relational and non-relational – he knows them all.

- Software Engineering & Data Science: From design to development, analysis to implementation, Ahmed equips you with the full skillset.


But Ahmed's true strength lies in his passion:

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Reviews

4.4

2,510 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Duidang Khalemshang on 4/6/2025

outdated the interface of Jupyter notebook has changed and the lessons are rushed EDIT : The second step of the course "Fundamentals of python is incredilble, straight , simple and explainatory"

By Hussien Kojouk on 6/30/2024

i have really acknowledged these lessons easily and the explanation of each lesson and each function is really worked on, i really appreciate it.

By Owusu - Ansah Benjamin on 4/25/2024

One of the most appreciated aspects of online courses is the flexibility they offer. Learners can typically access course materials and lectures at any time, allowing them to study at their own pace and fit learning around their existing commitments.

By Irwin Aguacondo on 5/11/2023

Una revisión general de python, con lo aprendido es continuar practicando. Los conceptos y ejercicios muy bien elaborados y de fácil comprensión. Seria recomendable que se incluya un proyecto final donde se integre todos los conceptos.

By Alejandro Rodriguez Rodriguez on 8/29/2022

It is a good course, but should have a different name. Also in the SeaBorn section do not speak about seaborn graph, was like extension or use of plot method of Pandas. In my opinion is a good course for beginner and a very introducing of Data Analysis!

By Mohammad Mostafa on 7/30/2022

THis course is recommended for beginer who likes to learn about Data analysis and basics of python libraries which are needed in data analysis. I have learned a lot about data analysis. tysm

By Karthikeyan N on 2/11/2022

Thank you professor. Really am enjoyed the whole session. I want to give some small suggestion to this course. If it is possible, Kindly give some more function with explanation to the python packages like seaborn, numpy and add some assignment.

By Patrick Mwila on 1/17/2022

Thank you Ahmed Ibrahim, I now have the basic understanding of Data Science... This course is just what I was looking for, quick and straight to the point.

By Rachana Shirsat on 11/9/2021

Before starting this course I thought that it will be very difficult for me understand python but when I take 2 to 3 sections I feel very conident and now able to understand everything. The language is also very easy to understand. Thank you.

By Alexandre Portugal on 7/9/2021

Hello. It does introduce you to python libraries like pandas and numpy, passing through the "vanila" python. Maybe consider indexing exercises to the course as it is advertise "intensive" in the tittle. Try to show a few ppt in the beggining to not lose the attention spam of the students. A good introduction course overall

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Overall Score : 88 / 100