Data Science: Python for Data Analysis Full Bootcamp

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

4.21 (1904 reviews)

Udemy

platform

English

language

Data Science

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

Why take this course?

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!

Screenshots

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Reviews

Gerald

August 10, 2023

it has been easy to follow, did get lost a few times because of the accent. went back understood every word and got on track. Great

Chibueze

August 3, 2023

its indeed a good match for me. infact i dont think i would stop at one course, i would continue till i am a full time programmer

Lala

July 14, 2023

It's good for beginners who are just started to learn python programming language. Instructor does repetition by saying the same thing many times

Kas

July 6, 2023

This course was easy to follow. I like how the instructor broke down the steps and thoroughly explain the operation syntax which not a lot of instructors do. Thank you for your time. I really enjoyed it.

Stefano

May 22, 2023

A very interesting course! Too bad because it was badly recorded. Intentionally with slowed audio (at 0.8x) so the lessons are longer. Honestly, I am sleepy at 1x. A 2x is more interesting! Apart from this, the one that irritates me most is to note that every single statement you write is explained several times, even in a slightly different way ... in practice, little code and too many words (80% useless). Is it another method to lengthen lessons with simple content? As they say, time is money!

Irwin

May 12, 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.

Cassandra

April 28, 2023

It's good for basic knowledge. However, sometimes I can't understand the teacher's English with a strong accent. Also, the captions don't even match what the teacher says. It's okay to have an accent, but at least give us the correct captions!!!

Ankit

April 27, 2023

Content is good....Enjoyed quiz but Voice needs to improve. I can't understood few words...Rest is good

Vaishnu

January 30, 2023

yes it maybe is a good match for m. My case is that I am completely from a non tech background and except him to explain briefly any terms that he use most of the data analysts would be from non tech background. Also, I need a lot of practice questions associated with them.

Nkosibonile

December 15, 2022

the course is still amazing so far. the instructor is presenting the content in a perfect manner that is easy to follow

November 4, 2022

i think i am enjoying this course because as a bigeneer i start learning. Thank you Udemy providing me such a arranged and detailed python course...

Julia

October 15, 2022

not in depth on the topics, concept explanation took not even half the time, the rest was filling time just for the sake of making a longer tutorial. very condescending tone throughout the tutorial where every new concept is described as easy and straight forward.

Henrique

October 14, 2022

The course goes straight to the point and it gives almost no room for you to get confused. However, I miss more details about each concept and how it is applied in a real task.

Benjamin

October 13, 2022

The way the instructor takes his time to explain makes me so happy. This course is worth every penny.

Mostafa

July 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

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