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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: 7,935
Рецензии: 1,003

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:

126–150 из 994 отзывов о курсе Анализ данных с Python

автор: Gabriel A S

Jul 29, 2018

The course is great for beginners and anybody interested in data analysis. Lessons were clear, and interactive labs allowed to strengthen your learning experience.

автор: Liliana A M

Feb 15, 2020

It is an excellent course that helps develop skills such as English language management as well as introducing you to the programming language and data analysis.

автор: Devkul S

Feb 19, 2019

This course is very beneficial those who want to build carrier in data science. Each topics are cleared very nicely and the lab exercise clears the most concept.

автор: Satvik C

Feb 04, 2020

I have learned a lot if things regarding data analysis .

thanks to the teachers for helping me to understand how to analysis the data in different ways.

thank you

автор: SHOBHIT Y

May 06, 2019

My experience for this course on data analysis was really enriching where I learned various machine learning techniques and applied to real practical datasets.

автор: Chien D

Oct 07, 2019

This course can help me to know how to use pandas, and reading csv file. This also helps me to know how to create multiple, poly, and linear regression model

автор: Meet

Sep 01, 2019

Too good if you pay attention...

this course disappointed at some points where they just showed us direct syntax and not proper information about that syntax

автор: Eric G

Nov 06, 2019

Good overview of statistical analysis with python. I'd recommend having at least some background in statistics and maybe linear algebra before taking this.

автор: Yechen H

Sep 09, 2019

Very well structured course to learn the whole process of Data Analysis and get hands dirty in the field. Recommend to anyone interested in Data Analysis!

автор: Juan P B C

May 22, 2019

Curso muy completo, repleto de información útil con problemáticas reales y ejercicios de aplicación espectaculares. Sin dudas voy a recomendar este curso!

автор: Dwight

Jan 26, 2020

This was an excellent course that had datasets with which to work with. With practice and exploration of data wrangling, my confidence level is growing.

автор: Bill G

Sep 20, 2019

Wow!! Great course!

I learned a LOT. The material is not easy, especially for a non-math person but is one of the best courses I have taken on Coursera.

автор: 朱晓琳

Mar 12, 2019

This course is about regression, how to create models, how to evaluate and select a model or parameters. These are exactly what I would like to know.

автор: Anurag G

Mar 11, 2019

Amazing course to start data analysis with python. It covers most important aspects of data preprocessing in machine learning using python libraries.

автор: Moez B

Feb 01, 2019

Excellent course. The level of difficulty is not high, but you can still learn quite a bit from the videos and especially from the Jupyter notebooks.

автор: Federico E B C

Oct 26, 2019

Great course, I loved the final project because it really puts what you've learned to test. I wish there was more like a project like this per week.

автор: K. S S

Jul 13, 2019

One of the best course for data analysis with python. It covers the concepts to start working on a project and has well detailed explanation to all.

автор: Tanveer J

Jul 07, 2019

Excellent combination of core statistical concepts being translated into digestible python codes.!! Yes I can comfortably use linear regression now!

автор: Jorge A C C

Jan 19, 2020

Muy didactico y util, recomiendo repasar algunos conceptos de estadistica para que sea mucho más comprensible los analisis que se estan realizando.

автор: SACHIN G

Oct 11, 2019

The course is made in very simple language, anyone can learn from this course. The most amazing part of the course is Lab. Love you IBM & COURSERA

автор: Sadgi S

Jul 15, 2019

Amazing course! I was looking for a comprehensive course which takes up step by step process for Data Analysis. I hit a jackpot with this course.

автор: Syed F H R

Aug 31, 2019

All the content was brilliant and complete, The teacher was quite amazing and he actually complete almost every thing in this course perfectly.

автор: Amit C

Jul 14, 2018

This course is very helpful as it is more industry oriented. I have personally found this course to be very smooth and beneficial for learning.

автор: Ramanuj M

Dec 26, 2019

The course gave a brilliant insight into data analysis using Python. Some issues related to deprecation will hopefully be resolved with time.

автор: Sweta G

Jan 25, 2020

It was a wonderful course. They have explained all those hard concepts in a pretty easy way.

Thank you team for clearing all the concepts!