jramanan.com/professional/Details-of-Technical-Skills

Technology/Skill Topics of Experience
SQL
(Postgres, MS SQL Server, Google BigQuery) Basic statements in DDL, DML, filtering using WHERE, AND/OR, LIKE, IN, LIMIT, Aggregates: AVG(), MIN(), MAX(), COUNT(), GROUP BY, HAVING(), Joins (LEFT, RIGHT, FULL, SELF), Subqueries, Nested queries, Common Table Expressions (CTE), window functions: OVER(PARTITION BY), Aggregate Window Functions, Ranking Window Functions RANK(), DENSE_RANK(), ROW_NUMBER() , Time-Series Window Functions: LAG(), LEAD()
Tableau Creating intuitive dashboards (advanced level), dashboard performance optimization for large datasets in production, LODs FIXED, INCLUDE, EXCLUDE , Table Calculations, Window Calculations, Parameters, Sets, Sheet Swapping.
R Tidyr, Dplyr, Lubridate, stringr, SNA, iGraph, file handling, R Markdowns, Automating data cleaning process on css/xlsx data formats
Python Numpy, Pandas, Matplotlib, Seaborn, mlxtend, SciPy
Statistical Analysis Frequency Distributions, Central Tendency (Mean, Median, Mode), Variability (variance, SD, range), Z-Scores, Probability, Sample mean and Standard Errors, Hypothesis testing (z-test, t-test, ANOVA), Linear Regression, Pearson Correlation
Machine Learning/ Data Mining Association Rule Mining, Regression, Classification, K-Means Clustering, Recommendation System.
**Git
(Gitlab, BitBucket, GitHub)** setup git repo via git init, git clone, file management via git status, git add, branching using git checkout, git branch, update remote/local changes via git commit, git push, git pull, resolve merge requests using git rebase