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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
17,703 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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351 - 375 of 2,715 Reviews for Data Analysis with Python

By Josh V

May 16, 2020

Good mix of Python programming and libraries, data analysis, and linear regression. Fundamental concepts that will really be helpful with data analysis and modelling.

By Cassandra d C

Apr 22, 2020

The course was interesting and slightly challenging. My favourite course on Coursera so far! Even as a qualified chemical engineer, I learnt a few interesting things.

By Nora W

Mar 2, 2020

This has been by far the most difficult course I've taken. I guess that if you have some background in statistics, this will be easier for you. Quite the challenge!!!

By Odejide M

Feb 17, 2020

This is an awesome course for anyone who wishes to start a career in data analysis using python.

The tutorial is well organized and structured with detailed materials.

By Adam C

Jan 20, 2020

Iimportar, Domar, Explorar y Seleccionar datos y para entrenar un modelo de regresión lineal, evaluar y seleccionar hiperparametro adecuado para tener un buen modelo

By CHIN W L

Dec 7, 2019

I learned a lot from this course, especially on data preparation, wrangling, analysis and understanding data modelling. Thumb up to the instructors and IBM, Thanks!.

By Atikah F

Jun 20, 2020

Another great course to learn more deeply about Data Analysis with methods that beginners are able to understand. Keep the good work up! Thank you Coursera and IBM!

By Abhishek R

May 13, 2020

This course provides a good understanding of different steps involved in data analysis.The labs provided help us to see the output of our code which is very useful.

By Sherl D

Aug 6, 2018

I like this one very much. Yes, the course was difficult but easy to follow and enjoyable. Thank you for making me think a lot, and thank you for all your hardwork.

By Syeda A A

Jan 8, 2022

I enjoyed the course thoroughly. Anyone looking to start their career as a Data Analyst or Data Scientist should definitely take this course. Highly Recommended!!

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 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