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

4.7
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16,180 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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2101 - 2125 von 2,443 Bewertungen für Datenanalyse mit Python

von Lovely K

•

15. Juni 2022

this course is very important for me

von ASMITA K

•

6. Okt. 2019

Average Course with simple learning.

von MK S

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2. Mai 2020

linkage between each module require

von Alpha Z

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2. Feb. 2020

Too easy. Make it more challenging!

von Sachin G

•

29. Mai 2019

should have more thorough examples

von Liliana R (

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14. Nov. 2018

There are some errors in the labs

von Rauf S

•

8. Apr. 2020

you can explain more efficiently

von José C D S

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7. Juni 2019

It took me longer than estimated

von Edoardo B

•

13. Jan. 2019

Missing a Peer-reviewed exercise

von ABHISHEK A

•

22. Juli 2018

Where good to start for beginner

von Ruchika G

•

25. Dez. 2022

best course for basic concepts.

von Sripriya D

•

19. Juli 2020

it felt very dry for some parts

von Jignesh P

•

12. Mai 2020

Great Learning from this course

von Joseph S

•

3. Mai 2020

Modules 4 & 5 need more detail.

von Shamik K

•

27. Dez. 2020

Diff course but well planned !

von Trang N D N

•

28. Feb. 2020

there are some bugs in the lab

von Igor G

•

5. Juni 2019

No linter was used by authors.

von JAWALGEKAR S S

•

20. Feb. 2020

it was worst experiance !!!!!

von VIGNESHKUMAR R

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22. Dez. 2019

Good but need to improve labs

von Sakthivadivelan

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15. Juli 2020

labs can be more explanatory

von Tyler X

•

8. Mai 2019

It's a little hard to learn.

von A A A

•

13. Apr. 2020

Fantastic coding experience

von Eslam G M I

•

2. Feb. 2019

This course taught me a lot

von Nagendra K S

•

30. Juni 2022

Good Course to start with.

von Rhytham D

•

7. Apr. 2021

It is a good crash course

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