About this Course

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Learner Career Outcomes

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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.
Intermediate Level
Approx. 13 hours to complete
English

Skills you will gain

Python ProgrammingStatistical AnalysisSentiment AnalysisR Programming

Learner Career Outcomes

25%

started a new career after completing these courses

40%

got a tangible career benefit from this course

50%

got a pay increase or promotion
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.
Intermediate Level
Approx. 13 hours to complete
English

Instructor

Offered by

Placeholder

University of Washington

Syllabus - What you will learn from this course

Content RatingThumbs Up89%(1,642 ratings)Info
Week
1

Week 1

3 hours to complete

Introduction to Data Analytics

3 hours to complete
4 videos (Total 33 min), 4 readings, 2 quizzes
4 videos
Video-2: Structured vs. Unstructured Data10m
Video-3: Analyzing Structured Data10m
Video-4: Visualization of Data8m
4 readings
Anaconda Installation20m
Python installation, configuration, and usage30m
R installation30m
R/RStudio Setup Guide (on Windows)20m
2 practice exercises
Quiz-115m
Quiz-215m
Week
2

Week 2

4 hours to complete

Collecting and Extracting Social Media Data

4 hours to complete
4 videos (Total 47 min), 6 readings, 3 quizzes
4 videos
Video-2: Introduction to Python Programming16m
Video-3: Using Python to Extract Data from Twitter15m
Video-4: Using Python to Extract Data from YouTube11m
6 readings
Errata: please read this first1m
Python Packages Installation5m
(Optional) Introduction to Python for Econometrics, Statistics and Data Analysis30m
Script: twitter_search.py
Twitter libraries10m
Script: youtube_search.py
2 practice exercises
Python Programming Exercise30m
YouTube data download using Python30m
Week
3

Week 3

4 hours to complete

Data Analysis, Visualization, and Exploration

4 hours to complete
4 videos (Total 87 min), 8 readings, 2 quizzes
4 videos
Video-2: Analyzing Social Media Data Using Python26m
Video-3: Introduction to R26m
Video-4: Social Media Data Analysis with R32m
8 readings
Script: twitter_process.py
Data: iqsize.csv
R Installation Guide10m
Installing R Packages5m
Statistical Analysis with R10m
Read this first2m
Scripts for converting json to csv2m
Data Visualization with ggplot2 (R) - Cheat Sheet10m
1 practice exercise
Statistical Analysis with Twitter Data30m
Week
4

Week 4

3 hours to complete

Case Studies

3 hours to complete
4 videos (Total 47 min), 4 readings, 2 quizzes
4 videos
Video-2: Sentiment Analysis with Twitter Data21m
Video-3: Text Mining of Twitter Data15m
Video-4: Conclusion6m
4 readings
Script: twitter_sentiments.py
NLTK10m
Script: text_mining_twitter.r
An Introduction to Network Analysis with R and statnet10m
1 practice exercise
Sentiment Analysis with Twitter30m

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