Chevron Left
Retour à Data Analysis with Python

Data Analysis with Python, IBM

4.6
2,605 notes
354 avis

À propos de ce cours

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....

Meilleurs avis

par 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.

par 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

Filtrer par :

352 avis

par 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.

par 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!

par 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.

par Kean Tat Koh

Apr 19, 2019

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

par Maksim Mislavskii

Apr 18, 2019

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

par Nihal Nalla

Apr 18, 2019

not in depth.... needs more clarity on a variety of topics

par Kalpa

Apr 18, 2019

Hands on and practical course, Lab exercises help to drive in the methods

par chengwuquan

Apr 18, 2019

perfect

par Anukruthi Ramachandruni

Apr 18, 2019

Im very interested in this course. Ill let my peers to this course.I'll suggest everyone to make thier skills better.

par Abdul Mujeeb Abdulai

Apr 17, 2019

Not very interactive with fewer help to learners