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Data Analysis with Python(으)로 돌아가기

Data Analysis with Python, IBM

4.6
(3,061개의 평가)

About this Course

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....

최상위 리뷰

대학: 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.

대학: 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

필터링 기준:

401개의 리뷰

대학: Oana Merkt

May 22, 2019

Thank you so much! - Oana

대학: ashirwad satapathi

May 22, 2019

Recommended course to understand the how to do data analysis using python

대학: Aditya Mishra

May 21, 2019

Overall apt content for beginners and naive learners.

대학: Jim Cole

May 20, 2019

Well organized, good explanations, and very good labs.

대학: Vineet Madhav Naique Dhaimodker

May 20, 2019

Great experience

대학: Amy Peniston

May 19, 2019

I am working through the IBM Data Science Certificate courses (in order) and this is easily the best one I have taken so far. Once again, the labs provide a variety of hands-on exercises that help to cement the topics introduced in the lectures (which, to be fair, are very fast-paced). Everything taught is practical and relevant. One request would be to fix the pacing of the videos and lecture quizzes, which often appear to test students' comprehension mere seconds after the topic was discussed! I did also notice a few errors in the labs, but they did not stop me from learning the material. Overall, great course.

대학: Theodore Griesenbrock

May 19, 2019

This needs to go much more in depth on the options for analysis, and provide more examples.

In addition, the labs and final exams were not fully completed/corrected/reviewed, so there were many erroneous issues, including assumptions made that was not clear to us students.

대학: Sampras Ghosh

May 19, 2019

best course for beginners

대학: Firat Gunduz

May 18, 2019

A seriouse deal of statistical modelling taught with a perfect content. I really appricate the effort put in order to not being "hard-to-understand", but still finding the way to teach complex statistics. You will have a very good useful knowledge of statistical modelling without getting lost through too many greek symbols and long explanations.

대학: Aditya Jha

May 18, 2019

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