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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,528 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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301 - 325 of 2,898 Reviews for Data Analysis with Python

By Carlos D

Apr 15, 2020

Great Introduction to Data Analysis, the concepts going from the basic to deep in data-testing and data-training, as well as several applications linear and polynomial regression to data analyze.

By Richa S

Jan 29, 2023

I am learning so much from this course. Video lectures are very easy to understand and the labs are interactive.

My heart full gratitude to all the team of Coursera for providing valuable course.

By Adegbuyi M A

Dec 9, 2021

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.

By Brian k

May 9, 2021

I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.

By Syed I A

Sep 6, 2023

Wonderful course, explained everything in the most easiest way possible. BUt hte module 4 and 5 ffeels kinda hard for a person who is not familiar with data visualization and machine learning.

By sapna y

May 23, 2020

Data analysis with python has a high standard of content.I hope this is useful for me to crack DS interviews.The content is well structured.Quizzes,assignment and video lectures are corelated.

By Wolf Z

Nov 8, 2020

A great introduction to fitting data in python.

The core principles and measures are well explained.

The only slight minus point: No information about the interpretation of fitting parameters.

By ALFIYA K

Jun 14, 2019

Enthralling and motivating course! Lectures and practices are conveniently balanced! Labs are so excited and realistic! Many thanks to all creators and teachers for such kind of awesome job!

By Hao H

Sep 10, 2020

Well arranged course that covers the essentials statistics with Python. But be aware this is an elementary course that may be a little too easy for those who have experiences in statistics.

By Juan E F A

Feb 15, 2020

It was an excellent way to begin in the path of data science. I really enjoyed all the knowledge they shared. I'd lie if I say that it was a piece of cake, but it wasn´t impossible, either.

By Narasimhan, S

May 25, 2020

This was a good course to understand some of the analysis concepts that are available.I would rate this course for anyone who wishes to have a good foundation of Data Analysis with Python.

By Dr. J N

Apr 17, 2020

This course precisely and comprehensively covers important aspects of Data Analysis with Python. I strongly recommend this course for those who are serious about Data Science using python.

By Михайло М

Sep 6, 2022

Great course, nice structured, first theory then practical lesson which helps to fully understand and gain knowledge. If you are a beginner in Data Analysis field then totally recommend!

By carolinne r

Sep 24, 2019

Excellent course, it helped me a lot to get started with Python. Still today I always consult my personal notes on this course to perform data analysis in all types of projects I work on.

By Akshay A

Feb 26, 2023

Highly recommended...

This course not only teaches tactics of analysis but also intuitions behind them.

I would suggest to go over labs carefully because they have been very well designed.

By Abuzar S

Dec 23, 2022

full of knowledge I can't explain in my words how much the course is fantastic. I love the content and I learned a lot in this course. The staff is very cooperative in discussion forums.

By Jayesh M

Jan 24, 2020

I like this course more than anything. As this course give me many useful insight of model as well as this included the many things like from model fitting/training to improve the model.

By John S S D

Jun 12, 2020

The course is very hands-on focused and that's great. Nevertheless, if there were some documents that summarize the week content (attibutes or codes characteristics) would be fantastic.

By Harsh V J

Apr 25, 2020

It is a good course on Data Analysis for both predictive and descriptive analysis. I think there should be more practice assignments for more hands on experience on predictive analysis.

By David B

Jun 2, 2020

Great content, clear video and concrete examples. One may wish to have more mathematical justification for some computations and functions, but it is the subject of a different course.

By Natalia C

Jan 19, 2020

Muy bien explicado, con las herramientas necesarias para adquirir habilidades en modelamiento por medio de regresiones lineales simples y multiples asi como la evaluación de los mismos

By Ian T

Jun 11, 2023

I enjoyed this course! Not being formally trained in Data Science, I believe it provided me with a solid foundation to grow. I recommend it to anyone wanting to start in data science.

By Andres M

Nov 6, 2020

Ha sido de los mejores de la serie hasta el momento, fue retador y muy bien explicado. Finalmente aprendí en que consiste la construcción de un modelo estadístico de regresión lineal.

By WAI S W W

Apr 11, 2020

The course helped refresh some of math and statistics learnt from university and provided a good overview of using python codes and functions to analyze complex data science projects.

By Khanh N

Jul 19, 2020

Lessons of the course are easily understanding with great explanations. Exercises are practical and easily applied with a free online website. I am greatly satisfied with the course.