Fundamental Data Analysis and Visualization Tools in Python (Udemy.com)
Learn how to analyze and visualize data by using Python libraries such as Plotly, Seaborn, Matplotlib, Pandas, and NumPy
Created by: James Thomson
Last updated July 2020
What you will learn
- Create presentable data visualizations with Python
- Learn how to analyze data with Python
- Make interactive data visualizations using the Plotly module
- Learn how to create plots from your data using Matplotlib, and Seaborn
- Analyze data using the Pandas library to create and structure data
- Analyze data using the NumPy library to create and manipulate arrays
- Use the Jupyter Notebook Environment
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.3 out of 5higher than 17% of them
- Reviews887#161 of 462 by number of reviews
- Length1.1 hoursshorter than 97% of them
- Last updatedJuly 2020earlier than 90% of them
Course Description
This course will provide an introduction to the fundamental Python tools for effectively analyzing and visualizing data. You will have a strong foundation in the field of Data Science!
You will gain an understanding of how to utilize Python in conjunction with scientific computing and graphing libraries to analyze data, and make presentable data visualizations.
This course is designed for both beginners with some basic programming experience or experienced developers looking to explore the world of Data Science!
In this course you will:
- Learn how to create and analyze data arrays using the NumPy package
- Learn how to use the Pandas library to create and analyze data sets
- Learn how to use Matplotlib, and Seaborn to create professional, eye-catching data visualizations
- Learn how to use Plotly to create interactive charts and plots
You will also get lifetime access to all the video lectures, detailed code notebooks for every lecture, as well as the ability to reach out to me anytime for directed inquiries and discussions.
Instructor Details
- 4.3 Rating
887 Reviews
James Thomson
Hello! My name is James, and I have experience across various software industries and roles. I'm a programmer who specializes in python, data science, and data analysis.
I'm passionate about making content that others learn from and enjoy. Feel free to reach out if you want any help on your journey to becoming a master!
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Reviews
By Jamuna on 8/6/2023
very concise explanation of each python library and maths. Easy to pick up the concepts when you know the basic python knowledge. Thank you for making this course I have learnt so much in a short time.
By A. Rehman on 5/9/2022
As the title says, it was an excellent introductory course on the fundamentals of data analysis and visualization tools in Python. James did a great job creating and presenting this course in a clear and easy-to-understand manner. HIGHLY RECOMMENDED!
By Robby Snitkof on 12/28/2021
Very disappointed. The instructor gives absolutely no explanation as to why certain functions take a specific syntax, benefits of one function or package over another, etc. It's completely devoid of anything beyond a surface level demonstration of how to use certain packages for visualizing data. It's worth approximately $0 and none of anyone's time.
By Neetu Dey on 1/9/2021
small codes defined well which we use mostly in huge codes most of the times without knowing the purpose. The codes & the purpose of libraries have been explained really well.Thanks.
By Aaron Allen on 1/1/2021
This is definitely an overview course and not in depth. It speeds along quickly, so I had to pause and go back frequently which is annoying as I'm trying to write my own code and follow along. But overall, I did learn some things. I will need to go back and repeat all of these things multiple times to have it sink in.
By Alexis Herasimiuk on 10/20/2020
Los nombres de las variables no son lo suficientemente expresivos para representar lo que se desea enseƱar. Propongo que en lugar de que las variables se llamen 'a', por ejemplo, su nombre sea 'two_dimentional_array'.
By Emmanuele Aggugini-Levi on 10/4/2020
Very simple and quick basic introduction to NumPy and Pandas and plotting Python libraries. It is extremely well done, with short, clear and to the point examples. I cannot recommend it strongly enough to anyone serious abut learning these tools but needs a simple and straightforward introduction. 5 tars all well deserved!
By Subham Nandy on 9/29/2020
Really learned a lot from this short course. The content is appropiate and too specific. In a short time I have learned a lot and also it was really fun. It is very good lesson to beautify or upgrade any project
By Andrew Kigara on 8/24/2020
The course was pretty good. It is a fairly advanced one as you can tell from his teaching speed. The best thing about it however is how much he simplifies the data analysis and visualization tools. I needed a refresher course and this was definitely the one for me!
By Abdelkader Haddag on 8/23/2020
I loved the course for its simplicity, direct style, and the way that the instructor progresses through the content. Anyone who doesn't have an acceptable foundation of Python knowledge is not recommended to go directly into this course. A minimum understanding of Python is required.
Quality Score
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Overall Score : 86 / 100






