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Bewertung und Feedback des Lernenden für Datenanalyse mit Python von IBM Skills Network

16,216 Bewertungen

Über den Kurs

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....



19. Apr. 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.


5. Mai 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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151 - 175 von 2,450 Bewertungen für Datenanalyse mit Python

von Agu J I

23. Juni 2022

This course is mind-blowing.

The structure and curriculum were topnotch. I enjoyed every bit of the process.

Although it was challenging at some points, the patter of tutorship made it easy to navigate.

I am very appreciative of the entire team that put up this course.

Thanks a lot for this great opportunity.


von David A

16. Okt. 2019

Very useful analytical techniques were learned such as cleaning the data, multiple linear regression, and working with test and training data. This course gave me a good foundation on the approach to analyze large databases. I also feel this will help in learning R because I now know the analytical process.

von Mayank S

12. Juni 2021

Trust me! This is best course for beginners, This is how it should be taught. No previous coding experience needed, even mathematics used is explained clearly. Making notes will help you in future while writing codes. After this course, you can confidently move to other courses of IBM Data specialization.

von Юрий Д

9. Mai 2022

Hello. Very cool course, designed not for beginners in python. Due to difficulties in translation, I had to additionally search for information on the Internet + take notes in Google documents. Sometimes you get very immersed in the ongoing process and forget about the time. Thanks to course developers.

von Aakanksha R

20. Sep. 2020

It is a really well-planned and informative course. The labs provided after every chapter are indeed a lot helpful to understand, recollect and visualize what we learnt during theory lectures. I would recommend this course to all as I found it helpful to improve my Data Analysis & Visualization skills.

von Sachin B

27. Nov. 2021

I always fascinated towards programming languages from university days as it makes the complicated work easier. as having basic cleared about python helps me to sail out through this course. all levels are thoroughly covered with proper scripts which make better understanding even for newcomers also.

von Mackenzie S

20. Juni 2022

Great course with helpful excersise. The only thing that needs to be looked into is peer review for projects. One of the peers rated my project 8 out of 18 and i was asked to re do but because i knew it was correct i just resubmitted without changing anything and 3 peers who reviewed gave me 17/18

von Meenakshi S A

20. Nov. 2019

It was a very interesting and correctly paced course for learning Data Analysis with Python. The course content and the assignments were very helpful in understanding the course well. Will recommend this course to all who want to do a well paced introductory course on Data Analytics using Python

von Md. R H

22. Sep. 2019

This course is outstanding valuable for the beginners who wants to build their career as data analysist. I have learned a lots of valuable statistical and progrmming for data analysis. Thanks to all instructor to give us such a opportunity to learn such kind of code and method for data analysis.

von Marta F d O F d N N

2. Juni 2020

This was a great introductory course to statistical modeling with Python. I learned a lot of the basic methods to perform linear regression models and to describe statistical variables. The final assignment was slightly challenging, but doable if you follow the labs. All and all a great course!

von Jamiil T A

1. Jan. 2019

Awesome. A must take course very handy at giving the foundation of data analysis with python and what a nice introduction to linear regression with the library sklearn. For more it looks more like an in-depth course in linear regression. Kudos, the explanations of concepts were well approached.

von Alpesh G

11. Aug. 2021

This course starts with Importing the dataset in Jupyter Notebook, followed by Data Wrangling, Exploratory Data Analysis, Model Development and Model Evaluation, and end with the final assessment applying all the concepts learned.

Thanks to IBM and Coursera for this great learning experience.

von Viren B

31. Mai 2021

the course is too good to be true! it is an elaborate explanation of all the terms with the logic behind it. Seamless experience with the inbuilt code writing lab. I would highly recommend it to all who are at the doorstep of data analysis. This is the first step towards it, and a mighty one!

von Md. A A J

2. Mai 2020

The hands on examples for practicing on IBM cognitive lab, videos and lecturers made are great and helpful. The course contents are clear, precise and lecturer is very knowledgeable.

Joining and getting help from course mates and moderates in discussion forum is Excellent!

Ashfaque A. Joarder

von Gregory J O C

27. Juni 2020

I loved this course!

Though, for a beginner like me, it can be kind of confusing to be shown things that are not covered in the course (i.e, plots in which a lot of characteristics have to be set...), this tends to happen in labs.

But for the rest, everything was crystal clear!

Best wishes!

von Konstantin D

22. Feb. 2019

The first "week" was way too simple. I believe things like "what a file path is" should belong to another course. The last 4 "weeks" gave a good picture of where to start with data analysis. The whole course can be completed after 5-10 hours (depends how long you play with the dev tool).

von Sumanta S

9. Sep. 2020

This course builds your fundamentals of data analysis ,from how to load data to data cleaning, removing missing values, data interpretation, building models, testing them using pipleine to check if model gives proper output , splitting data sets as test set and for model learning. etc

von Surhan Z

15. Juni 2019

This course core purpose is to teach the student how to perform analysis in detail. I have taken a lot of courses related to data analysis but no one teaches in detail and gives great examples. I highly recommend this course to all student who wants to learn data analysis with python.

von Habib M

4. Okt. 2022

I have just completed the IBM Data Analyst course "Data Analysis with Python". The course has a lot of practical knowledge with real-life examples and datasets for analysis. Recommended for students of Data Analysis! #python #data #dataanalysis #datasets #IBM #Coursera #HabibManjotha

von V C

15. Jan. 2020

This course is actually harder than expected due to the python programming however I felt I truly benefited from it. I have learned and used Python before, but the python code in this course sets a new high bar for me. I'm going to go back and study all the labs in this course again!

von Aman T

19. Apr. 2020

This was a good course. It had lot of content you will find data analysis with pandas library along with analysis there is regression machine learning model also and model evaluation section. Overall it was a great experience. Content was nice and I recommend to everyone to enroll.

von Ketan K

28. Dez. 2018

Really a step up in terms of difficulty compared to "Data Science with Python". Since the final week's content is judged on quiz and not a stand alone assignment, one must revise this course from time to time for the libraries referenced and model analysis approach. Great resource!

von Anthony G

25. Jan. 2021

This course was presented clearly and explained statistical concepts in a way that made them relevant and practical. The assignments were challenging, requiring review of notes and Python techniques made during the lectures, thereby reinforcing the learning outcomes in a good way.

von Gajula J

16. Juli 2018

This course is very good start for students who are planning to go into machine learning specifically.Students who have no Idea about regression and math find bit hard but little more effort from student side is needed. At the end you will have a zeroth tool for machine learning.

von Babak K Z

30. Nov. 2020

very good and goal oriented cours, no loss of time , covers rapidly subjects that really increase students knowledge on python tools for data analysis. very interesting and useful cover on regression for tolls as well as explaining the statistical concept in a very simple way.