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Data Analysis with Python, IBM

4.6
2,667 calificaciones
360 revisiones

Acerca de este Curso

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....

Principales revisiones

por 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.

por OA

Jul 13, 2018

I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course

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357 revisiones

por renwenlong

Apr 23, 2019

通过这门课程, 我学到了很多关于数据分析方面的方法

por Abhishek Kumar Singh

Apr 23, 2019

good

por ZHANG BOYU

Apr 23, 2019

The content in the lab is great! However, video courses are not so good.

por Kushagra Agarwal

Apr 22, 2019

I am highly impressed with this course !!

This course is very informative. Regular assignments helped me a lot to learn and to complete my course on time before the deadline.

por 18086105521

Apr 22, 2019

Perfect course!

por Rohit Pradhan

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.

por Rose Condon

Apr 19, 2019

I really like the last 4th and 5th sections for data model creation, analysis, evaluation and refinement. Very enjoy this course!

por Wang Luyuan

Apr 19, 2019

It’s a very fundamental course for newcomers. I enjoyed a lot from it. And the lab provides greatly functional practice.

por Kean Tat Koh

Apr 19, 2019

The materials are easy to understand and the labs help to enhance understanding.

por Maksim Mislavskii

Apr 18, 2019

Very serious, professional, empowering course. Clear straightforward detailed explanations. A good deal of practice.