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    Back to Data Analysis with Python

    Learner Reviews & Feedback for Data Analysis with Python by IBM

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.7
    stars
    19,059 ratings

    About the Course

    Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis
    with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing &
    formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating
    data pipelines You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and
    create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial...
    ...

    Top reviews

    RP

    Apr 20, 2019

    Filled StarFilled StarFilled StarFilled StarFilled Star

    perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.

    UA

    Jul 29, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.

    Filter by:

    2801 - 2825 of 3,001 Reviews for Data Analysis with Python

    Filled StarFilled StarFilled StarStarStar

    By Manu K

    •

    Jan 7, 2025

    It was okay , but the Lab environments don't run properly without some proper libraries installed.

    Filled StarFilled StarFilled StarStarStar

    By Edward S

    •

    Aug 2, 2020

    The week 4 lab had issues with pipelines and did not function well and the final exam locked up.

    Filled StarFilled StarFilled StarStarStar

    By Miguel V

    •

    Nov 13, 2020

    Needs more information on statistical tests. Specifically, when to use one model over another.

    Filled StarFilled StarFilled StarStarStar

    By Poorna M

    •

    Jun 24, 2020

    Videos in this section could be little more descriptive. It was not in the pace of a beginner.

    Filled StarFilled StarFilled StarStarStar

    By Nathan P

    •

    Jan 2, 2020

    It was cool to see the stuff at work but I need more hands on practice to really learn stuff.

    Filled StarFilled StarFilled StarStarStar

    By Varun V

    •

    Dec 19, 2018

    This looks good for experienced but not the best of course for beginners/intermediate level.

    Filled StarFilled StarFilled StarStarStar

    By Connor F

    •

    Mar 28, 2020

    when it got to model development it got too complicated too fast. The first half was great.

    Filled StarFilled StarFilled StarStarStar

    By Badri T

    •

    May 28, 2019

    Lots of good concepts. However, too complicated and could have been explained a bit more.

    Filled StarFilled StarFilled StarStarStar

    By Jesse Z

    •

    Jun 5, 2019

    For such a important topic, it seems like the videos sped through some essential topics.

    Filled StarFilled StarFilled StarStarStar

    By Debra C

    •

    Mar 24, 2019

    Course was worthwhile for general understanding of what can be accomplished with Python.

    Filled StarFilled StarFilled StarStarStar

    By Miguel A I B

    •

    May 13, 2020

    Exelent training to get familiar and intruducing to Python capabilities and programing

    Filled StarFilled StarFilled StarStarStar

    By Xinyi W

    •

    Jan 26, 2020

    Superfacial level of Python while being not very through on the data analysis methods.

    Filled StarFilled StarFilled StarStarStar

    By Ana C H

    •

    Jun 11, 2019

    To short

    Goes to fast in some aspects, the theory is completely missing in this course

    Filled StarFilled StarFilled StarStarStar

    By Sathiya P

    •

    Aug 27, 2019

    Nicely thought, but I felt concepts like Decision trees, Random forest were missing

    Filled StarFilled StarFilled StarStarStar

    By Ros R

    •

    Aug 13, 2019

    The course is too long. The material should be divided and explained more detailed.

    Filled StarFilled StarFilled StarStarStar

    By Amanda A

    •

    Apr 17, 2020

    There were many typos in the labs which made it difficult to understand at points.

    Filled StarFilled StarFilled StarStarStar

    By Juan S A G

    •

    Aug 21, 2020

    very simple exercises which does not help to learn altough videos were exeptional

    Filled StarFilled StarFilled StarStarStar

    By Naresh T

    •

    Aug 12, 2023

    It's really good course i really enjoyed learning new things in data analaytics.

    Filled StarFilled StarFilled StarStarStar

    By Naf

    •

    Nov 1, 2022

    It was a good course but maybe a little too easy with all the prompts provided.

    Filled StarFilled StarFilled StarStarStar

    By Mohsen R

    •

    Jun 17, 2020

    The course does not explain the processes enough, there should be more examples.

    Filled StarFilled StarFilled StarStarStar

    By Maciej L

    •

    May 16, 2019

    Too many complicated things happening at once. It is hard to digest and follow.

    Filled StarFilled StarFilled StarStarStar

    By Tomasz S

    •

    Nov 19, 2018

    Few small hiccups with the training videos and quite a few in the lab-excercise

    Filled StarFilled StarFilled StarStarStar

    By Craig S M

    •

    Mar 21, 2022

    It ok. Some parts of the course were bare bone. I liked the hands on sections.

    Filled StarFilled StarFilled StarStarStar

    By Steven B

    •

    Jun 4, 2020

    Overall I felt it was not broken down very well and seemed confusing at time.

    Filled StarFilled StarFilled StarStarStar

    By Pierre-Antoine M

    •

    Feb 19, 2020

    Videos are nice but they are mistakes in the notebooks that disturbs learning

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