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Вернуться к Анализ данных с Python

Отзывы учащихся о курсе Анализ данных с Python от партнера IBM

4.7
звезд
Оценки: 8,540
Рецензии: 1,111

О курсе

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Лучшие рецензии

RP

Apr 20, 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.

AB

Feb 13, 2020

Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.

Фильтр по:

201–225 из 1,111 отзывов о курсе Анализ данных с Python

автор: Santoshi K

Aug 17, 2019

good to learn basics of data analysis and python libraries for data science and analysis. very useful for beginners

автор: Maria d l A M E

Mar 29, 2019

This course perfectly explains many concepts about data analysis and presents a practical example for each concept.

автор: Erich J

Jan 21, 2020

There is errors in the course assigment in last 4 tasks. This is why it is so difficult for people to solve them.

автор: Sahil J

Jun 27, 2019

Very good for basic level understanding. I'm hoping IBM would introduce an advanced level version of this course.

автор: CARLOS S G O

Feb 09, 2020

Es realmente un excelente curso para iniciar en la parte de IA y entender cómo mejorar los análisis estadísticos

автор: Niala I O

Jan 03, 2020

The course provides a detailed and comprehensive content and practical approach of using python to analyze data.

автор: paul m

Aug 27, 2019

Informative elearning. Good overview of using Python for data analysis / visualisation / machine learning basics

автор: Yu W

May 05, 2019

I enjoyed learning Python by taking this course and I love the interface to practice Python programming! Cheers!

автор: BRIGHT K

Jan 23, 2019

The Data Analysis with Python gives you every introduction to become comfortable with Python as a Data Scientist

автор: KOUADIO K A F

Dec 19, 2018

I am very happy to have taken this course, I have learned a lot and gained experience thanks to IBM and Coursera

автор: anubhavbbd

Mar 16, 2020

it was a great learning experience , came to know about things that I was'nt aware of earlier.

Thank you so much

автор: Pedro E R J

Feb 28, 2020

It was an excellent course for me. I'm just beginning in data science topics and I felt this was a great start.

автор: Emad

Nov 15, 2019

One of the very informative courses I've attended on Coursera. Exactly to he point, suites beginners very well!

автор: Leonardo I

Jun 29, 2019

This course is quite engaging. I enjoyed it as it gave concise introductions to various areas of data analysis.

автор: Mohitkumar R

Dec 28, 2018

Great course and so much information , great lab excercise.Best Intro to Data Analysis and statistics methods.

автор: Fabián A C

Mar 23, 2020

Wonderfull course, the material and expertise was excellent, the practical Exercises and demos also was great.

автор: Juan C Y T

Mar 22, 2020

Excelente curso, soy colombiano y aprendi mucho, ademas tambien que practique mucho mi ingles en este curso.

автор: Aniruddha P P

Sep 20, 2019

This was definitely the best course! I enjoyed learning! A big thanks to the instructors for this course! :)

автор: Aditya S

Mar 26, 2019

THIS COURSE IS AMAZING ,I WILL RECOMMEND TO THE BEGINNERS TO TO THROUGH THE LAB EXERCISE AND PRACTICE HARD.

автор: Oliver I

Apr 01, 2019

Great demonstration of pandas, matplotlib and seaborn for data analysis along with some critical thinking

автор: AKPAN, G E

Dec 31, 2019

Highly well planned and structured for easy understanding. I enjoyed every bit of it. It's becoming fun!

автор: Lingjun K

Apr 27, 2019

excellent course! However, wish to have a more detailed instruction on the drill of the required skills.

автор: dark d

Nov 07, 2019

i tell that this is my first course in data science and it is agreat course.love it and i apreciate it.

автор: FAIZAN A

Sep 28, 2019

The course is greatly designed. We need to incorporate a little description of forecasting models also.