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Learner Reviews & Feedback for Data Analysis with Python by IBM
18,235 ratings
About the Course
Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models.
Topics covered include:
- collecting and importing data
- cleaning, preparing & formatting data
- data frame manipulation
- summarizing data
- building machine learning regression models
- model refinement
- creating data pipelines
You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them.
In addition to video lectures you will learn and practice using hands-on labs and projects. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. You will also work with scipy and scikit-learn, to build machine learning models and make predictions.
If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.
Top reviews
LM
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Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.
AA
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Most of what you'll learn in this package are fundamentals to other knowledge areas. So, practice both in and out of the course.
I appreciate the coordinators in making it possible. Thank you.
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2851 - 2855 of 2,855 Reviews for Data Analysis with Python
By saurabh r
•May 26, 2024
worst course till now, Ai generated voice
By Laura E
•Aug 6, 2024
Boring narration
By Dmytro F
•Nov 30, 2021
Waste of time
By wanlinberg
•Sep 2, 2019
根本就打不开任何视频
By mostafaabuzeid
•Feb 11, 2020
V.Bad