Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Install Python, R, SQL and bash - to practice Data Science and Coding!
1. Intro
1.1 Intro (1:18)
1.2 About me (1:17)
1.3 What will we install exactly? Why Python, R, SQL and bash? (2:10)
2. Get the Data Server!
2.1 What is a data server? (2:58)
2.2 Get the Data Server! (7:32)
2.3 Log in to your data server (for Mac users) (2:57)
2.3 Log in to your data server (for Windows users) (3:24)
2.3 Log in to your data server (for Linux users) (2:45)
3. Install Python, R, SQL and bash!
EXTRA: the whole code base of the course in PDF.
3.1 Install bash - and create a new user! (3:46)
3.2 Install Python 3 and Jupyter Notebook! (10:36)
3.3 Install postgreSQL! (5:10)
3.4 Install pgadmin4! (4:07)
3.5 Install R and RStudio! (3:15)
Troubleshoot - SQL (read only if you are stuck)
Troubleshoot - Python & Jupyter (read only if you are stuck)
4. Extras
4.1 Extras - Intro (0:35)
4.2 Installing Python libraries: Pandas, NumPy, MatPlotLib and Scikit-Learn (6:00)
4.3 Installing csvkit for bash (2:17)
4.4 Installing SQL Workbench for Postgresql (7:26)
5. Wrap Up!
5.1 Wrap Up! (2:06)
4.4 Installing SQL Workbench for Postgresql
Links:
https://www.java.com/en/download/
https://www.sql-workbench.eu/download-archive.html
(IMPORTANT UPDATE! As of 2022-10-10, in some countries the sql-workbench.eu website doesn't work. I don't know why but just in case I've uploaded the installation files to my Google Drive, too. You can find them here:
SQL Workbench backup files
.)
https://jdbc.postgresql.org/download/#latest-versions
(Important As of 2022-10-23 this is the new link that you should follow. The video shows a different link, as it's not updated yet -- but this is the correct one.)
Complete and Continue
Lesson Content Locked
Your session expired. Please sign in again to continue.
Login