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Data Source (online course)
INTRODUCTION
Intro (5:26)
About me ✌️ (1:17)
BEFORE YOU GET STARTED...
How do the modules build up? (3:56)
[!!!] How to use this course - and the data you get access to
Prerequisites (recommended environments and languages)
Disclaimer
1) REAL LIFE DATASETS
About these real life datasets...
How to download these datasets + How to automate the dataload (22:12)
1.1. BESTBET DATA -- the structure of the data
1.1. BESTBET DATA -- get the data
1.1. BESTBET DATA -- random project/analysis ideas
1.2. DATA36 SQL ARTICLES -- the structure of the data
1.2. DATA36 SQL ARTICLES -- get the data
1.2. DATA36 SQL ARTICLES -- random project/analysis ideas
1.3. BLUEBERRY DATA -- the structure of the data
1.3. BLUEBERRY DATA -- get the data
1.3. BLUEBERRY DATA -- random project/analysis ideas
[BONUS] Crontab tutorial (9:03)
[BONUS] How to upload your dataset to your server (9:52)
2) APIs
About APIs... (6:16)
2.1. COINBASE API (querying exchange rates) (16:24)
2.2. OPENWEATHER API (the weather in your city) (14:39)
2.3. YAHOO-FINANCE API (querying stock prices) (16:09)
2.4. TWITTER API (getting famous people's tweets) (23:49)
How to automate the API dataload (15:11)
[BONUS] Crontab tutorial (9:03)
Random project/analysis ideas
3) RANDOMLY GENERATED DATASETS
About these "random" datasets...
3.1. DOGS OR CATS -- the structure of the data
3.1. DOGS OR CATS -- get the data
3.1. DOGS OR CATS -- random project/analysis ideas
3.2. RANDOM E-COMMERCE -- the structure of the data
3.2. RANDOM E-COMMERCE -- get the data
3.2. RANDOM E-COMMERCE -- random project/analysis ideas
[BONUS] The Jupyter Notebooks I used to generate these datasets
[BONUS][I might add this...] How did I generate the dogs or cats datasets? (And how can you do that for yourself?)
[BONUS] How to upload your dataset to your server (9:52)
4) WEB SCRAPING
About web scraping... (6:05)
Web scraping tutorials
4.1 WIKIPEDIA WEB SCRAPING EXAMPLE (19:13)
How to automate the dataload
Random project/analysis ideas
5) OPEN DATASETS
About open datasets...
Where to find open datasets (list)
WRAP-UP
Feedback (+request new modules)
2.4. TWITTER API (getting famous people's tweets)
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