This repo is a collection of some of the work I completed for the Data Analytics Fundamentals & Practitioner program at Montgomery College.
Coursework includes: SQL, Python, Microsoft Excel, Data Visualization (Power BI), Business Intelligence, Relational Databases (SQL Server), Statistics.
You can also check out my repo for solutions to the SQLZoo Tutorials.
- Data Acquisition
- Data Life Cycle, Data Ethics, Data-Driven Culture
- Data Acquisition
- Relational Database Design
- Intro to SQL, Wildcards, Aggregation and Grouping, Min/Max, Avg, Joins
- Creating SQL Server database
- Data Manipulation
- Data cleaning with SQL
- SQL queries
- SQL temporary tables
- Debugging SQL
- Data cleaning in Excel, CountIF, CountIfs, SumIF, VLOOKUP, AGGREGATE
- Data Manipulation, Summary and Analysis in Excel
- Descriptive statistics
- Inferential statistics
- t-Tests in Excel
- ANOVAs in Excel
- PivotTable in Excel
- Python
- Comparison operators, Range
- Conditional logic
- List and List methods
- Loops, Nested Loops
- Functions
- Dictionaries, Nested Dictionaries
- Data Visualization with Power BI
- Data Analyst Survey dashboard
- Blood Pressure dashboard