This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization.
This course is part of the Introduction to Programming with Python and Java Specialization
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Introduction to Programming with Python and Java SpecializationUniversity of PennsylvaniaAbout this Course
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Course 2 of 4 in the
Beginner Level
High school or college math.
“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.
Approx. 17 hours to complete
English
What you will learn
Apply basic data science techniques using Python
Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib
Demonstrate how to load, inspect, and query real-world data, and answer basic questions about that data
Analyze data further by applying learned skills in data aggregation and summarization, as well as basic data visualization
Skills you will gain
- Data Science
- Python Libraries
- Python Programming
- Data Analysis
- Data Visualization (DataViz)
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 4 in the
Beginner Level
High school or college math.
“Introduction to Python Programming” Coursera course or equivalent prior knowledge of introductory Python.
Approx. 17 hours to complete
English
Offered by
Start working towards your Master's degree
This course is part of the 100% online Master of Computer and Information Technology from University of Pennsylvania.
If you are admitted to the full program, your courses count towards your degree learning.
Syllabus - What you will learn from this course
6 hours to complete
Module 1 : Loading, Querying, & Filtering Data Using the csv Module
6 hours to complete
8 videos (Total 31 min), 9 readings, 3 quizzes
5 hours to complete
Module 2 : Loading, Querying, Joining & Filtering Data Using pandas
5 hours to complete
14 videos (Total 31 min), 5 readings, 4 quizzes
5 hours to complete
Module 3 : Summarizing & Visualizing Data
5 hours to complete
18 videos (Total 22 min), 5 readings, 4 quizzes
Reviews
- 5 stars69.83%
- 4 stars22.03%
- 3 stars5.08%
- 2 stars1.35%
- 1 star1.69%
TOP REVIEWS FROM DATA ANALYSIS USING PYTHON
by DPFeb 17, 2022
The issure of learning the difference between dataframe and series needs to be a bit more clear in my opinion.
by SDDec 19, 2022
This course is very good especially for newbies. i have learnt alot. Teaching is very sample anybody can understand
by JASep 6, 2021
Good course, it gives you the basic info to pandas, numpy and matplotlib. It teaches you how to obtain dataframes, join, filter, group, summarize and visualize data. Short course but really worth it.
by KBSep 29, 2022
Excellent in depth teaching methodology. I learned how to apply python programming skills from the first course in the series to data anaysis!
About the Introduction to Programming with Python and Java Specialization
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