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SF Data Weekly - 52 Weeks of Learning and Supercharging 2021

December 30 · Issue #170 · View online
SF Data Weekly
Our pick (picks, really) this week are two different approaches to teaching yourself data science that you can use as a basis for your 2021 resolutions. We also have some interesting Twitch data visualizations, and a piece on supercharging your 2021 learning curve. Happy New Year and Stay Healthy!

Our Pick
A Complete 52 Week Curriculum to Become a Data Scientist in 2021 | by Terence Shin | Dec, 2020 | Towards Data Science
Data Pipelines
Scheduling SQL queries on your Amazon Redshift data warehouse | Amazon Web Services
Optimizing Your Data Strategy with Modern ETL
Data Storage
A gentle introduction to the 5 Google Cloud BigQuery APIs | by Antonio Cachuan | Dec, 2020 | Towards Data Science
Data Analysis
How to make your Pandas operation 100x faster | by Yifei Huang | Dec, 2020 | Towards Data Science
7 Must Know SQL Querying Mistakes & Fixes | by Ashish Tomar | Towards Data Science
Resources to Supercharge your Data Science in 2021 | Towards Data Science
Data Visualization
An Ultimate Cheat Sheet for Data Visualization Techniques in Seaborn | by Vildansarikaya | Clarusway | Dec, 2020 | Medium
Insights from Visualizing Public Data on Twitch | by Kiran Gershenfeld | Dec, 2020 | Towards Data Science
Data-driven Products
How to launch a tech career in 2021 - The GitHub Blog
Data Engineering Jobs
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