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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,235 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

LM

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Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

AA

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Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course.

I appreciate the coordinators in making it possible. Thank you.

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376 - 400 of 2,855 Reviews for Data Analysis with Python

By Magdalena C

Jun 21, 2020

Very interesting course. Definitively I will apply what I been learned at work.

Easy to study due to flexible hours and very simple way of introducing the subject.

By Devyani S

Nov 9, 2019

Coursera is a commendable website and has helped me a lot in learning new skills from established organisations.

A great shout-out to my Instructor and my peers! :)

By Saurabh M

Mar 15, 2019

It is a great gateway

course into the world of data science. It is mainly focussed on theoritical concepts of data science which have wide range of applications .

By Gabriel A S

Jul 29, 2018

The course is great for beginners and anybody interested in data analysis. Lessons were clear, and interactive labs allowed to strengthen your learning experience.

By Albert K

Apr 16, 2021

This course deserves a 5 star, was nice and educative indeed. Only that the final project was so easy, but course material was very consistent and understandable

By Liliana A M

Feb 15, 2020

It is an excellent course that helps develop skills such as English language management as well as introducing you to the programming language and data analysis.

By Devkul S

Feb 19, 2019

This course is very beneficial those who want to build carrier in data science. Each topics are cleared very nicely and the lab exercise clears the most concept.

By Bonny C

Jul 24, 2023

Great course with Jupyter notebook for code and output for each module. Course videos contents are very concise. Much can be learned from the Jupyter notebooks.

By Satvik C

Feb 4, 2020

I have learned a lot if things regarding data analysis .

thanks to the teachers for helping me to understand how to analysis the data in different ways.

thank you

By Juan C A G

Aug 3, 2020

I found the material very useful, well structured and hands-on oriented. There are many complex matters, lsuch as Advanced Statisctics covered in simple terms.

By Anuar M

Mar 11, 2020

Excellent class for new data science to learn about data per-processing, data modelling and analysis. Highly recommended for those who are new to data science.

By SHOBHIT Y

May 6, 2019

My experience for this course on data analysis was really enriching where I learned various machine learning techniques and applied to real practical datasets.

By Tuệ N H

Dec 10, 2021

Thank to Financial Aid, I have completed this course. The course helps me to get an overview of Data Analysis, it is easy to understand. The audio is clearly.

By Edward C

Jul 29, 2024

I was an absolute beginner before this course and wanted to gain some experience with data analysis / regression for university work. This course was perfect

By Bùi Q H

Jun 30, 2023

This course gave me a comprehensive understanding of data analysis step by step, which I can apply in my position as credit risk consultant. Thank you a lot.

By Seda Ç

May 21, 2020

Please review my assignment! https://www.coursera.org/learn/data-analysis-with-python/peer/kKAn8/house-sales-in-king-county-usa/review/au-vc5uFEeqZJhIm1P6uEQ

By Milind S

Apr 30, 2020

This has by far been the best Data Science course I've ever come across. This teaches you 30 pages worth of content so easily that you never feel the burden.

By Chien D

Oct 7, 2019

This course can help me to know how to use pandas, and reading csv file. This also helps me to know how to create multiple, poly, and linear regression model

By Youness B

Jul 12, 2024

It is a very good course. I have learned a lot of new things and improved what I already knew. I want to thank everyone for this great opportunity to learn.

By Agung P

Sep 16, 2022

I found it extremely simple to understand the instructions. I enjoy completing the assignments and tests that are assigned. This training is great, I think.

By Peter P C B

Mar 31, 2021

Very informative. I learned a lot of things. But if you are looking for an online class that you can connect to a professor, this is not the course for you.

By Meet P

Sep 1, 2019

Too good if you pay attention...

this course disappointed at some points where they just showed us direct syntax and not proper information about that syntax

By Eric G

Nov 6, 2019

Good overview of statistical analysis with python. I'd recommend having at least some background in statistics and maybe linear algebra before taking this.

By Eliana B

Apr 1, 2023

El curso es excelente. Muy bien organizado, con explicaciones claras . Las notebook complementan muy bien el aprendizaje y la practica de los contenidos.

By Will M

Jan 20, 2022

I enjoyed the course and learned a lot. It wasn't too difficult but still challenging and engaging. The tutorials and videos are very clear and well made.