Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,618 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.

Filter by:

1076 - 1100 of 2,912 Reviews for Data Analysis with Python

By Nicholas C

Oct 7, 2020

Such a nice course. It's worth all the time and effort

By Farzana S

May 23, 2020

Very informative course but quite tough for a beginner

By HAROLD F P C

Apr 29, 2020

The theory is so short but the practice are very good.

By Snehal G

Apr 27, 2020

The course content is great. Thank you for the support

By Javier I R V

Dec 9, 2019

great course, it really hard but you obtain new skills

By Mahammad H K

Nov 14, 2019

I like this course. Plenty learning for future skill !

By Nay L

Jul 13, 2019

Nice overview of data analysis capabilities of python.

By Daniel L

May 30, 2019

A big TNAKS to Joseph Santarcangelo, amazing training.

By Niharika V

Feb 16, 2019

It's very helpful to kick start career as Data Analyst

By Alex S

Jan 17, 2019

The statistical concepts are well and simply explained

By Suprabhat D

Nov 25, 2018

Highly recommended for beginners and intermediate!! :)

By mark e

Oct 19, 2018

..Better than many of the other courses in this series

By ahmad m

Nov 15, 2024

Course , the material and the tutor are amazing ....

By Travis B

Sep 4, 2024

It was very challenging, but I thoroughly enjoyed it.

By Mathavan N

Jul 22, 2024

Nice to learn but not as a beginner as a intermediate

By Ipshita K

Jan 5, 2024

Thankyou IBM for such a good courses for the beginner

By Johnathan M

Apr 18, 2022

This one was actually one of my favorite ones so far.

By Bruce M

Nov 23, 2021

Enjoyed this course, great insights to Data Analysis.

By Debashis C

Jul 24, 2021

I learned everything about Data Analysis with Python.

By Mehdi S

Dec 23, 2020

Perfect for beginners with a good background in Maths

By JUAN P G B

Feb 19, 2020

Thanks great course I learn a lot about data analysis

By Christian F

May 18, 2018

A very well composed introduction into Data Analysis.

By Veena P K

Aug 23, 2023

thank you for all useful learning I loved the course

By Rabot'ko D N

May 16, 2021

Great course, thanks for the study material! Thanks!

By Joseph A V

Feb 9, 2021

Thank you for an interesting and very useful course.