Learning Python for Data Analysis and Visualization Ver 1

Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!
4.28 (20007 reviews)
Udemy
platform
English
language
Programming Languages
category
instructor
Learning Python for Data Analysis and Visualization Ver 1
204 807
students
21 hours
content
Dec 2022
last update
$174.99
regular price

What you will learn

Have an intermediate skill level of Python programming.

Use the Jupyter Notebook Environment.

Use the numpy library to create and manipulate arrays.

Use the pandas module with Python to create and structure data.

Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.

Create data visualizations using matplotlib and the seaborn modules with python.

Have a portfolio of various data analysis projects.

Course Gallery

Learning Python for Data Analysis and Visualization Ver 1 – Screenshot 1
Screenshot 1Learning Python for Data Analysis and Visualization Ver 1
Learning Python for Data Analysis and Visualization Ver 1 – Screenshot 2
Screenshot 2Learning Python for Data Analysis and Visualization Ver 1
Learning Python for Data Analysis and Visualization Ver 1 – Screenshot 3
Screenshot 3Learning Python for Data Analysis and Visualization Ver 1
Learning Python for Data Analysis and Visualization Ver 1 – Screenshot 4
Screenshot 4Learning Python for Data Analysis and Visualization Ver 1

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Comidoc Review

Our Verdict

This course offers a solid foundation in essential data manipulation and visualization tools such as pandas, numpy, and plotting. Though the content is outdated, the instructor's explanations remain clear and comprehensive, covering various topics from basic to advanced techniques. However, be prepared for deprecated functions and syntax errors throughout the course, requiring external assistance for solutions. This course may not be suitable for those seeking up-to-date knowledge in data analysis and visualization using Python.

What We Liked

  • Comprehensive coverage of pandas, numpy, and plotting with clear explanations
  • Wide range of topics from basic to advanced techniques
  • Instructor is knowledgeable and provides valuable learning experience
  • Includes a portfolio of data analysis projects

Potential Drawbacks

  • Outdated content with some functions no longer available or deprecated
  • Lack of updates hinders applicability to latest changes in field
  • Randomly created datasets may not help build knowledge effectively
  • Code syntax errors require external solutions
396876
udemy ID
18/01/2015
course created date
29/05/2019
course indexed date
Bot
course submited by
Learning Python for Data Analysis and Visualization Ver 1 - | Comidoc