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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
7,257 ratings
893 reviews

About the Course

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews

RP

Apr 20, 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.

OA

Jul 13, 2018

I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course

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801 - 825 of 885 Reviews for Data Analysis with Python

By BT

May 28, 2019

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

By Jesse Z

Jun 05, 2019

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

By Debra C

Mar 24, 2019

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

By Ana C

Jun 11, 2019

To short

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

By Sathiya P

Aug 27, 2019

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

By Rosana R M

Aug 13, 2019

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

By Maciej L

May 16, 2019

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

By Tomasz S

Nov 19, 2018

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

By Jessica B

Jun 14, 2019

Good content, but lots of typos. The outsourcing is extremely evident.

By Arjun S C

Aug 14, 2019

Lots of bugs and errors. No instructors reply on the discussion forum.

By Filippo M

Sep 27, 2019

Useful course, but the IBM online platforms are not working well.

By Robert P

May 17, 2019

Some concepts were quite confusing and not that well explained.

By Nirav

Jun 26, 2019

Lot's of errors in this course, please update and correct it.

By Anmol K P

Oct 14, 2019

Course could have been more elaborate in depth and scenarios

By Mia W

Dec 27, 2019

the lab is extremely useful, however, videos are too short

By Michael A D R

Nov 01, 2019

Extremely interesting BUT it gets long and hard to follow.

By Nihal N

Apr 18, 2019

not in depth.... needs more clarity on a variety of topics

By Alejandro A S

Jul 25, 2019

Experimented a lot of problems to complete the assignment

By Troy S

Mar 14, 2019

Quizzes are too easy. Don't even need to watch the videos

By Pulkit D

Jun 29, 2019

Please update and explain Rigid Regression a little more

By Appa R M

Oct 24, 2019

The kernal is stuck for some questions and its annoying

By Jakubina K

Dec 19, 2018

It would be more useful if labs were be rated as well.

By Bhanu S

Apr 28, 2019

It was difficult to retain the knowledge imparted.

By Alton M

Jun 08, 2019

The course requires more interactive programming.

By XIANGYU L

Jan 19, 2019

There are lots of mistakes throughout the courses