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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
17,693 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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1076 - 1100 of 2,715 Reviews for Data Analysis with Python

By Ravikumar A K

Apr 13, 2020

Happy to be hear, great training session. Thanks.

By Alejandro

Jan 13, 2020

Excellent course to start learning about Big Data

By Deleted A

Jul 11, 2019

My first Machine learning course. It was awesome.

By Camelia S

Jul 27, 2023

Très bonne formation, très utile et intéressante

By Ellen P

Jul 22, 2021

The lab session is really practical and helpful.

By kanupriya k

Jun 25, 2020

Very thorough, detailed but also easy to follow.

By rajnesh k

Jun 4, 2020

Great concept delivery, and outstanding content.

By dxprashant100

Nov 15, 2019

The best course to start.

well explained content.

By Tiago B L

Jun 9, 2019

Good value for your time and money. Recommended.

By Alessandro Z

Mar 30, 2019

I think that this course is useful and well done

By Napat P

Jan 18, 2024

One of the best basic courses for data analysis

By Yair T

Mar 5, 2023

Excelent one of the core courses of the program

By Fernando C A

Feb 21, 2022

Interesting Course, Good Job. I'm really happy.

By Dorcas D O

Feb 1, 2022

It set the basics needed for me in grad school.

By abhinav t

Nov 13, 2021

Fun Learning, Proper articulation and Hands ons

By Narendra S

Sep 20, 2021

Very interesting and useful course, thank you.

By Dr. B L

Dec 16, 2020

Excellent Learning Plateform by Data Scientist

By Alejandro O Q

Jun 16, 2020

Good course a little difficult in terms of math

By Andres V

Mar 29, 2020

Excelente curso de introducción a Data Science.

By Carlos A E B

Mar 21, 2020

It's the best data science course for beginners

By Parth P

Mar 11, 2020

Foundation course for Data Analysis. Great ...!

By Debasis K C

Jan 28, 2020

Excellent content; learnt a lot in this course.

By praveen k

Nov 26, 2019

Linear Regressions are needed some more clarity

By Saeed U

Nov 25, 2019

Great introduction to Data Analysis with Python

By Anushil G

Jun 8, 2019

Well Structured Projects Would Have been better