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. 14 hours to complete
English
Subtitles: 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. 14 hours to complete
English
Subtitles: English

Offered by

University of Washington logo

University of Washington

Syllabus - What you will learn from this course

Content RatingThumbs Up89%(1,541 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 Exercise2m
YouTube data download using Python6m
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 Data6m
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 Twitter6m

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