Python for Data Analytics - Beginner to Advanced

Learn Python for Data Analytics. Learn how to analyze and visualize different data types and do projects with them.

2.95 (268 reviews)

Udemy

platform

English

language

Data Science

What you will learn

Learn how to analyze data

Learn how to do a data analysis project

Learn how to visualize data

Learn (or repeat) the basics of statistics and python

Learn the analysis of time series data

Why take this course?

This is a data analysis course which we use Python and its libraries in order to clean, analyze and visualize our data. This course is for anyone who is interested in data analytics. You don't need to have any knowledge about python or statistics since we will be repeating these two at the beginning of the course. We will cover python libraries which is designed for data manipulation, data analysis, data visualization. Topics we are going to be covering:

-Fundamentals of Python

-Fundamentals of Statistics

-Pandas ( a Python Library designed for data cleaning, data analysis and data manipulation)

-Time Series Analysis

-Matplotlib (a Python Library designed for data visualization)

-Seaborn (a Python Library designed for data visualization)

will be covered in the course. After this course, you can create and share data analysis projects, start learning about machine learning in order to becoming a data scientist or you can learn a business intelligence tool like Microsoft Power BI or Tableau in order to start your career in business analytics. General concepts and codes and their returns will be covered in this course. In all course process and finishing it i would love to answering your questions about data analysis, data science and other concepts. Feel free to contact to me via courses Q&A Section .

Screenshots

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Reviews

Piyush

July 16, 2023

Accent of the author was not that clear till time series and I had to use other resources to learn time series

Wathik

June 4, 2023

Very efficient and clear, highly recommended . The author is so talented and make hard things easy to understand .

Nina

June 1, 2023

not really good at explaining how to import the data into pycharm. Couldnt even get started on the project.

Abdalla

February 11, 2023

Really I enjoyed, quick and simplified information, I have to do is practice and start doing my first project, this course will be my reference for sure and I will improve my skills, and also I subscribed to your YouTube channel looking forward to your videos

Abid

January 1, 2023

The course is designed efficiently and covers all the essentials required for fundamental python data analysis.

Arnold

December 30, 2022

The explanation is clear, but the instructor omits to say to people some basic commands, for example how to run the code, how to go from a line to another with the same command (code). The course is for beginners, I guess.

Ako

December 20, 2022

I am enjoying my experience so far. The concepts are explained clearly and concisely, in a way that is easy to grasp.

Deremsu

September 9, 2022

The course provides a concise and introduction to both Statistics fundamentals and Python fundamentals just before getting started. In the continuation of the course, both the Python libraries that are important for Data Analytics and the projects are briefly and concisely mentioned. This course is good if you want to learn "Python for Data Analytics" quickly and clearly.

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Python for Data Analytics - Beginner to Advanced - Distribution chart