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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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76 - 100 of 2,716 Reviews for Data Analysis with Python

By Opetunde A

Jul 12, 2018

I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course

By Faisal A S

Nov 25, 2023

This course is amazing. This course will give you the direct information you will need. It is based on a hands-on project you will be positive when you watch this course

By Prakash C

Jun 6, 2019

Great course. I had fun having a kick start in the field of data in machine learning. I understood the concepts related to how to improve the model.

Thank you

By Siddhartha S

Jun 4, 2019

Great Course. Amazing Work By the team. Concepts explained clearly, followed by the week end quiz to revise. The Labs Do a great work in helping out

By Aldy P

May 7, 2020

helps me a lot! FYI I was new to data science and programming language but this course helps me to understand business analysis with Python!

By Francisco H S B

Oct 10, 2023

The course is very straightforward, everything to the point, just takes a little bit to get familiar with new concepts.

By Ted H

Jun 6, 2019

Covers a lot of ground but the Python Labs are great at bringing everything together.

By Aksana

Nov 27, 2023

One of the most interesting and useful courses for data analysts!

By YASSINE S

Nov 4, 2023

the best course to learn data analysis with python

By Paulo B S

Jun 4, 2019

A very complete course of Data Analysis.

By Mahmood H

Mar 16, 2019

Tough but useful.

By Vincent Z

Mar 10, 2019

The course content is definitely interesting, but the approach is superficial. You will get a broad overview of the keyword to search for, and what is available in popular Python packages. However, the quizzes are way, way too easy. The course needs a final "open" assignment, where you have to use the tools without being guided along the way. This is the only way to truly learn.

By Mahvash N

Mar 4, 2019

Course was great but it had number of errors and typos, that per my experience and other attendees caused some confusion.

I am sharing so it could be improved as it is a dream come true for myself to gain this valuable knowledge as conveniently as possible.

Thank you.

Mahvash Nejad

By Nina D

Oct 6, 2022

Well structured lectures and notebooks worked without issues. I just wished a bit more explanations would have been given in how to interprete the output of some of the results, especially when it came to data predicitions.

By Den M

Sep 21, 2020

A very comfortably created course - no stress at all. However all that you can get is become familiar with the data analysis tools. May be that's the point.

By Ruchir

Dec 19, 2018

I think few more practical exercises or at least references of the same would help better understand the overall fundamentals.

By Rebecca V

Mar 5, 2019

Material covered is useful, but there are a lot of typos and mistakes in the lecture slides and labs.

By Rene P

Mar 24, 2019

There could be links to functiones libraries in the lab for a fast check of a function if needed.

By Ugur S O

Dec 21, 2020

I think the quizzes can be in the format of programming required questions.

By Charles C

Feb 5, 2019

Some mistakes/ typos in the exercises and slides, but great overall

By Yogish T G

Mar 30, 2019

An assignment should have been included

By Danilo L

Mar 3, 2023

This course is decent but lacks more thoughtful and detailed explanations about its topics. For instance, it is severely lacking a glossary (what is exactly "actual values", "predicted values", "target values", "fitted values", "free parameter", "hyperparameter" and "estimators". I only know what these concepts mean because I looked them up on the internet, but their meanings should be in a 40 dollar a month course. They are essential for an enough understanding of the job of a Data Scientist.

Despite IBM telling us this certificate does not require previous Mathematical and statistical knowledge, if you do not know what is a reduction of a first degree equation, cartesian plan, ANOVA test, t-test, correlation, polynomials, R^2, Mean Squared Error, etc., get ready for a wild ride in another sources of study becayse this course throw this concepts at you very quickly with explanations lasting one minute sometimes.

The monitors at the forum are very helpful and knowledgable though.

By Ariel M

Nov 28, 2022

This is an excellent course... which you will have to teach yourself 60% of the way. It's a shame, such potential with topics like Polynomial Transformation and Ridge Regression, all treated with minimum detail and little information. I found myself reaching for additional videos and books to keep up with the notebooks and homework. If you need a refresher course, this is fine. Else, get ready for much frustration covering way too much theory with too little content.

By Liam M

Jan 17, 2019

So far the other courses in the Data science specialisation contained a final graded assignment. I found them really useful. This course didnt. Also, instead of telling us about all the tools available in the libraries, maybe explaining why we would use them would be better. I could code these functions myself if I understood them, but just using a library seems like it could lead to laziness and a lack of understanding.

By Miguel E M

Apr 15, 2020

There where some typos in the labs that could confuse most learners. I didn't feel like the course prepared people for real applications. The final project was quite hard because of this .

But it does give you a wide vision on hoy pandas work and some basic but apparently often used tools.

I see this course as a complement to a more detailed data analysis resource or perhaps as simply as an introductory view.