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

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16,188 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....

Top-Bewertungen

RP

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.

SC

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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2026 - 2050 von 2,444 Bewertungen für Datenanalyse mit Python

von David O

26. Juli 2020

The materials are well-organized, but there are many typos throughout.

von Angeliki M

2. Dez. 2019

A really good course. Probably the best so far in the IBM Certificate.

von Nanjun L

9. Jan. 2019

Would be better if more programming-oriented assignments are provided.

von Rahul P

12. Mai 2020

Excellent course with detailed hands-on experience via lab exercises.

von Manas C

31. März 2020

The course covers all the fundamental concepts needed for a beginner.

von Obong G

19. Feb. 2019

Though found the ending modules a bit challenging, its a great course

von Padraig M D

7. Juni 2020

Quite a challenging course, but very rewarding. I really enjoyed it.

von mohsin a

17. Okt. 2020

Hands on Labs are awesome .They helped to consolidate my concepts .

von Rohit S P

25. Apr. 2019

Needed a more brief explanation on ridge regression and grid search

von Ninad M K

14. Juli 2020

It is a great course and it teaches me data analysis with python.

von Liezl M

13. Juli 2022

One of the best courses I have done is the Data Analysis series.

von Ginger M

18. März 2020

I think that for weeks 4 and 5 the course needs more explanation

von Wen P

24. Dez. 2019

Easy understanding

Good sample and comprehensive

Good for beginner

von Jeff J

27. Aug. 2019

Nicely explained. But many minor mistakes here and there though

von Bashar M

5. Feb. 2019

thank you very much ,this course was very useful and interesting

von Cherif H W A

14. Dez. 2019

as usual the labs are great but the videos could be much better

von Nicholas J F

3. Mai 2019

Good content. Still spelling errors and mistakes in some place.

von Mudita N

20. Feb. 2019

Last few weeks were a bit confusing but overall a good course .

von Ismayil J

5. Nov. 2018

Good overview of classic Statistic methods performed in Python.

von Shine

18. Juni 2019

There are something wrong in the final assignment submit page.

von Tatiana K

25. Jan. 2019

Great course, but the number of errors in videos is tremendous

von Logic

16. Juni 2020

This is a good course for beginners, but not enough in-depth.

von Eliezer A

30. Juli 2019

there are some errors in the code lines through the lecutres.

von WANG T

24. Jan. 2019

Typos in the videos and notebooks should have been corrected.

von Raja U A

4. März 2021

Course Contents were excellent but not well arranged/planned