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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,485 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

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.

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.

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501 - 525 of 2,890 Reviews for Data Analysis with Python

By Sergio E A G

Mar 28, 2024

Superb!! It structure is by far the best. Furthermore it is well explain and with enough labs to practice the new knowledge.

By Ritika B

Feb 11, 2022

Beginner Friendly course. Helpful in the terms of simple concepts of Data Analysis. Good course to get started in the field.

By Elijah

May 30, 2021

This course could not be much greater. I enjoyed every bit of it and learnt so much. Thanks IBM for such a wonderful course.

By Nick

Jun 2, 2019

There are some important concepts covered (hyperparameters, training data), the visuals are good, but the tests are too easy

By Ignacio F

Feb 23, 2023

This course provides you with the python code used for conducting regression analysis and visualizing results. Nice course!

By BIBHUTI B B

Nov 9, 2022

It was very helpful for clearing my fundamentals. Coursera helped me to get the course for free and I am thankful for that.

By Amol G

May 13, 2020

very good course and i have learn lot of skill of data science from this course

also it contain very good project at last .

By Lakshminarayana D

Sep 27, 2019

Its was a great learning experience working with model fitting, different methods and different data visual representation.

By Jeevan P

Jun 6, 2020

Nice course with lot of content. It would be nice if extra content is provided to learn about some of the topics in depth.

By Jonathan T ( T

May 2, 2020

Pretty cool course, I really appreciate the material in here, i learned a lot about data analysis in here. Awesome Thanks!

By Johann D J O H

Feb 21, 2020

Is a great course and you can learn some functions to develop models to predict results. All with the big python language

By Kang R K

Sep 29, 2019

The fastest way to learn Python's famous libraries such as pandas, numpy, scikit-learn, and etc, as tools of data science.

By Tom M

Jan 1, 2019

Really great overview. Outlines how to create an example predictive analytic from tart to finish in a really cohesive way.

By Diego A U

Oct 30, 2021

It was a great learning experience. In Video questions, labs and Questiions after each module eased the learning process.

By Kelly D

Mar 7, 2021

I learned some great tools that i hadn't learned in other Python courses, which I can apply directly to my side projects.

By Cinmoy D

May 24, 2020

One of best course.As usual IBM courses are very useful.Specially the labs are very helpful.But more topics are expected.

By Oğuz K M

May 20, 2020

the course is clear and understandable with comprehensive contents about using python and build basic modelling pipeline.

By Jacob S

Oct 30, 2018

Great information. Definitely worth every second of time spent. I will be coming back to this course later for reference.

By Neeraj S

Oct 19, 2018

Teaches the basics well. Suits someone who has prior fundamental knowledge as the course hits the main points succinctly.

By Irteza A N

Jun 27, 2018

I find it worth the money taken the teaching methodology is excellent and even an average student can gain a lot from it.

By Nick H

Sep 23, 2022

Really enjoyable and hands on assignment at the end helps you embed the knowledge learnt. Clear and concise throughout.

By Godfrey A

May 23, 2021

Great platforms to learn coding online. I like how the videos communicate everything in simple language. Good work guys!

By Muhammad R K

Apr 12, 2021

A comprehensive course on data analysis which provides a perfect foundation to future career orientation of individuals!

By Dennis M K

Sep 25, 2020

Thanks to this course i have a better grasp on the data science analysis and methodology. The instructors are brilliant.

By Jesús S G (

Sep 9, 2020

For me that I am a beginner the IBM courses are perfect to understand and learn about this important topic. Good course.