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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
17,670 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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226 - 250 of 2,711 Reviews for Data Analysis with Python

By Waldo H

Sep 10, 2022

Complex but interesting course. I learned a lot and what was taught is very useful. For a beginner this course will be almost impossible so an advanced understanding of the concepts is required. My review of this is 8 out of 10 with complexity of 9/10 .

By Anna K

Jun 18, 2021

It turned out to be a very structured course with very high quality and detailed explanations. Great Python practice, parsing new libraries, and most importantly, explaining the statistical modeling and forecasting framework for a wide variety of tasks

By Jacob G

Mar 4, 2021

The labs that included Jupyter Notebooks were very well done and left me feeling like they weren't impossible, but challenging enough to solidify my skills. Labs are extremely important for me in an online learning environment, and these were great.

By Abdulahi F

Aug 21, 2019

I am highly impressed with the teaching methodologies and how the course is structured. By now, I can import, determine data types, conduct data wrangling which involves replacement ir dropping and regressions. Thanks to Cousera for the opportunity.

By Ittiphon S

Jun 4, 2021

This it the first course I take it help me to understand Data Analyst way such as Systematic Thinking, Coding concept,This is great

And to the future learner You should have a basic of coding in PYTHON it may help to easily complete this course but

By Luciana M G

Mar 14, 2019

This course is an excellent continuation of the previous IBM ones. Actually there should be one whole course teaching the basics of statistics so that what is taught in this model makes more sense for those who have never studied statistics before.

By Shubhi G

Mar 23, 2023

this course is really helpful in understanding data analysis with Python. the assignments are designed in a way that learners actually learn all the steps easily and thoroughly. theory and hands-on , both are covered in a thoughtful manner.

thanks

By Riccardo B

Jul 14, 2020

I really enjoyed this course. The content was well described. Quite complex, it required me to explore other external material, probably because I lacked the sufficient statistical knowledge to run through the course smoothly.

Thank you Coursera!

By Manoj M

Apr 1, 2021

Great Course which gave in detail information and Hands on lab about different visualization libraries available in Python such as Matplotlib, Seaborn and plotly for charts and dashboards. Useful course to understand and learn data visualization

By Guy B

Sep 24, 2019

Great course. few things to make it perfect:

more mathematic explanations required.

more details and explanations about the code itself - the methods and the opportunities inside it.

make the videos more interesting and not so monotonic and boring.

By mustapha b

Jan 6, 2020

I thank Mr. Joe Santarcangelo 🙏🏼 who helped me learn how to prepare data for hashtag#analysis, perform simple hashtag#statistical analysis, create meaningful hashtag#data visualizations and hashtag#predict future trends from the data👨🏼💻.

By Ronald A

Aug 17, 2020

The videos explained carefully the structure of the codes and explained the result. The graded quizzes and particularly the final project is also very helpful because it will let you review your notes and test your understanding of the course.

By Swapna N ( C

May 13, 2020

It was a wonderful experience in learning the course. It was completely a practical approach. I enjoyed the process of assignment submission and reviewing peers assignments. I would highly recommend the course for everyone. Thanks once again.

By Mike F

Oct 18, 2019

Outstanding course! Valuable information and methodologies all with clear and concise presentation. The labs are detailed and filled with awesome examples. Coursework is intuitive and easy to understand. I would highly recommend this course.

By ESTEBAN A A

Jan 19, 2023

I have really enjoyed doing this course. The videos, the assignments, the exams, all of them cover very interesting and challenging topics, such as data modeling with different techniques used in machine learning. Thanks IBM and Coursera!

By Saurabh M

Aug 31, 2020

Its very nicely designed course .Its designed such that you get brush up your fundamentals and get to know the real taste of statistics and probability applying practically to real world. i really enjoyed and earned a valuable knowledge.

By Ricardo S

Feb 24, 2020

La calidad de los cursos de coursera es excelente. Obviamente tienen detalles que se deben trabajar como algunas presentaciones que no coinciden con las voces en off. Sin embargo con suspicacia se pueden solventar estos infimos detalles.

By Krishnamurthy A

Nov 13, 2022

I applied for financial aid and got approved with the same.I am yet to start with the course but am getting the message assignment overdue.Kindly push the dates so that I will be able to complete the courses and assignments comfortably

By Ritik K

Jul 2, 2020

I learnt a lot in this course, the teaching way is quite good with animation and real life based example. I must say the course is designed very carefully. I want to thanks all the course creators to gave us such a great opportunity..

By Jafed E G

Jul 6, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

By Mahdi G

Jun 14, 2023

Really it is Worthfull Course. Helpfull Training Method. Nice Videos & Specially The Labs Are Worthfull & Helpfull.

I extend my thanks and gratitude To Coursera & IBM To give me chance learning. i Say Best Wishes & Regards. u r great

By V.S.S. T

May 15, 2020

Very helpful and useful course especially for beginners who are willing to gain knowledge on Data Analysis. I would recommend starting with this course for those who are interested in mastering their skills in Data Science later on.

By Richard M

Jul 10, 2023

El curso hace na revisión a nivel básico de aspectos que te conducen a la realización del análisis de datos, utilizando comandos no solo de librerías de Python como Pandas, sino tambien de conceptos fundamentales de estadística.

By Zwanga R

Jan 27, 2022

The course was very interesting and exciting. The videos were well presented and laid out in a way that is easy to follow and eager to learn follow. Assignments and exercises made us quite interactive and I really enjoyed that.

By Sayak P

May 13, 2020

This course is based mostly on very basic concepts , it's good for those lacking the slightest knowledge in the field of statistics , but yes for beginners it's pretty fine.I loved the presentation of those labs,quite useful