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
4.23 (2380 reviews)
Udemy
platform
English
language
Data Science
category
Data Science: Python for Data Analysis Full Bootcamp
194 849
students
6 hours
content
Jun 2023
last update
$64.99
regular price

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

Course Gallery

Data Science: Python for Data Analysis Full Bootcamp – Screenshot 1
Screenshot 1Data Science: Python for Data Analysis Full Bootcamp
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Screenshot 2Data Science: Python for Data Analysis Full Bootcamp
Data Science: Python for Data Analysis Full Bootcamp – Screenshot 3
Screenshot 3Data Science: Python for Data Analysis Full Bootcamp
Data Science: Python for Data Analysis Full Bootcamp – Screenshot 4
Screenshot 4Data Science: Python for Data Analysis Full Bootcamp

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Our Verdict

The Data Science: Python for Data Analysis Full Bootcamp course offers a solid introduction to Python programming and data analysis libraries. While learners found value in the course, some expressed a need for more detailed explanations and practice questions. Users also pointed out the lack of depth in certain topics and suggested an improvement in instructor support. Suitable for beginners seeking basic Python knowledge and Data Analysis introduction, this course might not be the best fit for those experienced in programming or looking for advanced content.

What We Liked

  • Covers a broad range of Python programming concepts and data analysis libraries
  • Several users reported improved confidence in coding with Python
  • Clear operation syntax explanation appreciated by learners
  • Provides basics for those interested in Data Analysis

Potential Drawbacks

  • Lack of depth and in-depth explanations for some topics
  • Slowed audio and repetitive content reported by users
  • Limited critical thinking or problem-solving quizzes
  • Instructor QA support could be improved with timely replies
Related Topics
4063338
udemy ID
20/05/2021
course created date
15/06/2021
course indexed date
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