Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,020 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 糖心vlog官网观看 course certificate, you will also earn an IBM digital badge....

Top reviews

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.

Jan 31, 2022

This is totally one of the hardest course I've ever taken on 糖心vlog官网观看. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.

Filter by:

1026 - 1050 of 2,991 Reviews for Data Analysis with Python

By Muhammad R

鈥�

Mar 10, 2019

Good Course ,learn mant things about Data science in details

By David C

鈥�

Dec 20, 2018

This one was a little more difficult than the previous ones.

By Yahya A

鈥�

Mar 8, 2025

Very informative and essential course, overall satisfactory

By Akshay S

鈥�

Jul 26, 2023

Excellent Teaching and course content for Boost the Carrier

By jiayonghui

鈥�

Jun 2, 2022

Very nice instructions and the lab portion is very helpful.

By L瓢啤ng A

鈥�

Sep 23, 2021

best course for who want to be a DA, De at biggining lever.

By Tuyen L T H

鈥�

Nov 2, 2020

A very great course that I can learn much useful knowledge.

By Gene M A

鈥�

May 28, 2020

Well though-out format for teaching such a complex subject.

By Mpho L C

鈥�

May 17, 2020

The course was awesome and delivered in an efficient manner

By Varun S

鈥�

May 9, 2020

Extremely good course to begin your Data Science Journey !!

By Ninan A

鈥�

Apr 1, 2020

Good course to quickly learn basics and start experimenting

By Mahomet N

鈥�

Feb 24, 2020

The best course I've ever had on 糖心vlog官网观看, very insightful!

By Ivan R A V

鈥�

Feb 24, 2020

Excelente, muy agradecido por los conocimientos adquiridos.

By Zayed R

鈥�

Sep 2, 2019

This course is providing valuable insight in Data analysis.

By Thanh C D

鈥�

Jun 14, 2019

Great Course! A lot of advanced knowledge. Very valuable <3

By Yves B

鈥�

Mar 4, 2019

Very thorough teaching of statistical analysis using python

By Amanzhol K

鈥�

Jan 22, 2019

The most useful course on studying statistics in short time

By Valerii P

鈥�

Nov 26, 2018

That was a great start for Data Analysis field's discovery!

By Rutav M

鈥�

Oct 22, 2018

Good explanation for each topic and nicely designed course.

By Huy D

鈥�

Mar 7, 2024

Provide necessary knowledge and practice to Data Analysis.

By Anwesha D

鈥�

Jun 13, 2023

Course is very much interactive. That keeps you attentive.

By NIRMAL J

鈥�

May 16, 2022

Very good course . This course will easier for new joiners

By Charles L

鈥�

Aug 20, 2020

Great course - really great notes, exercises and projects!

By Ashish S

鈥�

Jul 11, 2020

Very good course learnt a lot and cleared a lot of doubts.

By Stan M

鈥�

Jun 11, 2020

Great content. Ton of stuff to learn if you are motivated.