About this Course

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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 SciencePython LibrariesPython ProgrammingData AnalysisData Visualization (DataViz)
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
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

Placeholder

University of Pennsylvania

Syllabus - What you will learn from this course

Week
1

Week 1

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
8 videos
About the Instructor : Brandon Krakowsky 1m
Downloading & Installing Jupyter Notebook35s
Using Jupyter Notebook3m
Importing and reading a file using the csv module 3m
Coding demonstration : Analyzing the 500 Greatest Albums of All Time12m
Coding demonstration : Catching data errors and sorting7m
Coding demonstration : Calculating max and min1m
9 readings
Course Layout & Syllabus15m
Tips to succeed in this course10m
Module 1 Resources5m
Review of dictionaries10m
Review of lists5m
Review of loops10m
Review of functions5m
Lambda with max and min10m
Homework 1 - Instructions10m
2 practice exercises
Quiz 1 - Loading, Querying, & Filtering Data12m
Quiz 2 - Catching Errors & Sorting10m
Week
2

Week 2

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
14 videos
Loading data 1m
Inspecting data 1m
Querying data 47s
Joining data 59s
Code Along Exercise : Join data 6m
Slicing rows 2m
Querying data using boolean indexing6m
Code Along Exercise : Dive bar recommendation in Las Vegas 4m
Computations - sum() 1m
Computations - mean() 47s
Other methods 26s
Updating & creating data 43s
Code Along Exercise : Add rating column 1m
5 readings
Module 2 Resources5m
Homework 2 - Instructions10m
Casting Data5m
Cleaning data & dealing with missing values3m
Homework 3 - Instructions10m
2 practice exercises
Quiz 3 - Loading, Inspecting, & Querying Data10m
Quiz 4 - Joining & Filtering Data10m
Week
3

Week 3

5 hours to complete

Module 3 : Summarizing & Visualizing Data

5 hours to complete
18 videos (Total 22 min), 5 readings, 4 quizzes
18 videos
The numpy library 48s
Pivot tables 29s
Using an index 41s
Code Along Exercise : Average review count and rating2m
Aggregate functions2m
Jupyter notebook magic functions 21s
The matplotlib library 27s
Histograms 36s
Histograms Coding Demonstration : To show distribution of data 28s
Histograms Coding Demonstration : Preparing data 1m
Histograms Coding Demonstration : Setting options for PyPlot 1m
Histograms Coding Demonstration : Displaying the visualization 3m
Scatterplots 34s
Scatterplots Coding Demonstration : To compare data points on different dimensions12s
Scatterplots Coding Demonstration : Preparing data 1m
Scatterplots Coding Demonstration : Setting options for PyPlot 2m
Scatterplots Coding Demonstration : Displaying the visualization 1m
5 readings
Module 3 Resources5m
Homework 4 - Instructions10m
Bar charts and plotting pivot tables7m
For reference: Seaborn2m
Homework 5 - Instructions10m
2 practice exercises
Quiz 5 - Summarizing Data10m
Quiz 6 - Visualizing Data12m

About the Introduction to Programming with Python and Java Specialization

Introduction to Programming with Python and Java

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