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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
17,703 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 regression models & pipelines and learn how to evaluate them. In addition to video lectures you will learn and practice using hands-on labs and projects. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. You will also work with scipy and scikit-learn, to build machine learning models and make predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge....

Top reviews

RP

Apr 19, 2019

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.

SC

May 5, 2020

I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.

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576 - 600 of 2,716 Reviews for Data Analysis with Python

By Aditya S

Mar 26, 2019

THIS COURSE IS AMAZING ,I WILL RECOMMEND TO THE BEGINNERS TO TO THROUGH THE LAB EXERCISE AND PRACTICE HARD.

By Darshan K

Aug 24, 2022

This course covers the full details regarding Data Analysis with the help of Juypter Notebook with Python.

By Charles C

Dec 13, 2020

Course is very well put together and gives the learner a really good rubric to follow for future analyses.

By Waqar M

Jul 31, 2023

perfect content, if you are building your career as a data analytics, please must enroll into this course

By Nath S

Apr 15, 2022

The course has great video explanation for the algoritms and I really liked the practice on IBM platform.

By Vikram B

Jun 7, 2020

Really enjoyed this course - got a good insight into how we can explore and manipulate data for analysis.

By Karen C

Apr 23, 2020

A lot of info packed into a short timeframe - I learned a lot from this one, and it's immediately usable!

By Higor P

Apr 20, 2020

The content is very good! But i think there should be content about time series analysis with python too.

By Sumit R

Apr 14, 2020

Awesome course with wonderful teaching method. I beleive that its really help me get success in my career

By Olli

Apr 1, 2019

Great demonstration of pandas, matplotlib and seaborn for data analysis along with some critical thinking

By MAURICIO A R A

Sep 12, 2020

Excellent course and is made for people as me that did not know anything about Python and Data Analysis.

By Vaseekaran V

Jul 12, 2020

Really great introduction to data analysis by using Python. Statistical methods, explanations are great.

By Gonçalo T

Jun 5, 2020

Excellent course for those who are new to python and data analysis. Well organized and very good content

By AKPAN, G E

Dec 31, 2019

Highly well planned and structured for easy understanding. I enjoyed every bit of it. It's becoming fun!

By Lingjun K

Apr 27, 2019

excellent course! However, wish to have a more detailed instruction on the drill of the required skills.

By Marwan K

Aug 17, 2021

I am really glad to pass this course.

Thank you Coursera.

Thank you IBM.

Thank you to all instructors.

By dark d

Nov 7, 2019

i tell that this is my first course in data science and it is agreat course.love it and i apreciate it.

By FAIZAN A

Sep 28, 2019

The course is greatly designed. We need to incorporate a little description of forecasting models also.

By Gregory R G J

Nov 4, 2018

Overall a give this course a Thumbs Up!

Would like to have Peer Assignment to really test my knowledge.

By Maciej S

Mar 6, 2024

This course is much harder than all previous one's but seems to introduce a lot of usefullknowlesge :)

By ID C R

Dec 29, 2021

It was a wonderful learning experience. would recommend new learners to start data analysis with this!

By Siddhi S

Jun 23, 2020

More detailed video components would increase the ease of functioning in the lab sessions really well!

By CRISTIAN A U R

Jan 12, 2020

Excellent course! The concepts are very clear, and also provides a lot of useful tools for daily work.

By man s b

Oct 5, 2019

Everything was new for me, it taught me a way to let in the data science vast field and opportunities.

By Peizhi Z

May 11, 2018

Excellent course, covered very deep! Videos are very helpful and exercise materials are well designed!