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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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301 - 325 of 2,715 Reviews for Data Analysis with 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.

By Binay N

Feb 8, 2020

This course introduces the different pandas libraries that are mostly used in the data analysis using python. The student will learn about data wrangling, exploration, modeling, etc.

By 李政君(Li Z

Nov 6, 2019

Overall great lesson, learned a lot from it! But some code of Lab Nothbook might not give desired output and need modification, and material about Watson Studio might need upgraded.

By Marco M

Apr 23, 2022

I have not a mathematical background and some topics in this course have been taken for granted, thus I had to look for some material online on my own in order to expand my skills.

By Mikias H

Oct 28, 2019

This course has given me skills to clean data, visualize data and evaluate models using different Python libraries. Great course and recommend it to anyone interested in analytics.

By Jitesh J T

Jan 27, 2020

Superb explanation of the topics required for data analysis with a thorough hands on training of Python programming makes this course one of the best courses I have done till now.

By Bui N H T

Aug 17, 2021

I hate the peer review system. I uploaded a link into my final project as demand and they did not give me 3 points because they did not give a damn about reviewing others' works.

By Shepherd M

Jun 28, 2020

The course was very insightful, coming from knowing almost nothing about data analysis of python, it was easy to understand while not feeling while following the steps provided.

By Nam D

Jun 15, 2020

It is very interesting course. Before taking this course, I feel Python is complicated programming language.Now, I feel interesting about advancing technical skills with coursera

By Carlos J B A

Jan 8, 2019

A rewarding experience because I have been able to learn very valuable information. It is an excellent course. It has helped me in the personal and professional field. Thank you.

By DANIELA R F

Aug 19, 2020

Este curso es un gran acercamiento inicial al tema de Ciencia de datos, es muy intuitivo para las personas que no tienen conocimientos de Phyton, estadística o ciencia de datos.

By ARPIT K

Jun 21, 2020

I have learnt new things in python, like Linear regression and Ridge regression. Through different projects I gain an insight of how I can manipulate data and predict variables.

By Muhammad A S

Apr 17, 2020

A course that goes direct to the point saving you loads of time of researching and learning things alternatively. In simple words, this course was CLEAR and DIRECT to the point.