Creating a good looking dashboard: 1. Sketch out overall design 2. Futura font 3. Limit to few colors 4. Always have a general card system 5. Chart should have meaning 6. Create questions 7. Key metrics are: + Revenue + Profit + By time, by method, distributor + Answer questions
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https://www.youtube.com/watch?v=pMQSgriJqR8 Lore So What: How much SQL, PowerBI Tableau, Python do you actually need in Data Analyst Job SQL - ESSENTIAL 1. Currently, in my opinion it is PREFERABLE to use PostgreSQL: ✔ From Reddit reviews it is faster, cleaner that MySQL, SSMS ✔ Oracle is not really mentioned ✔ UI is better looking ✔ GitLab using PSQL 2. Comfortable using tools: + Add a lot of comments to run the SQL Query independently by selecting only the needed part + Basic concepts + Syntax + Basic commands + Aggregate manipulation + Do constant Sorting + CTEs - very important and also simple. It basically creates a temporary table with all values needed + Windows function - Generally the Aggregates + OVER() (PARTITION BY column) - extremely useful + Null Values with Coalesce + Joining tables + String Manipulation: CONCAT, LOWER, UPPER, DATEDIFF, DATEADD, EXTRACT, YEAR, MONTH, ROUN...