Certifications in Data Analysis, Advanced SQL, Intro to Dashboards
- Shauna Mellor
- Jun 2, 2025
- 1 min read
Data Analysis & Hypothesis Testing

Mastered fundamental statistics and data analytics concepts
Applied measures of central tendency and variability to summarize datasets
Understood and utilized discrete and continuous probability
Interpreted and analyzed probability and frequency distributions
Conducted simple and multiple linear regression for predictive modeling
Performed logistic regression for binary outcome analysis
Practiced hypothesis testing to make data-driven decisions
Gained experience with related statistical concepts for real-world data scenarios
Advanced SQL

Completed 160 mini-projects covering a wide range of advanced SQL topics
Proficient in writing and applying conditional expressions for data filtering and logic control
Skilled in performing text and string operations for manipulating and analyzing textual data
Experienced in working with sets, relations, and bags to manage complex data structures
Capable of writing subqueries for layered data retrieval and nested logic
Advanced knowledge of SQL joins, including inner, outer, and complex multi-table joins
Able to define and use custom SQL functions to streamline queries and reuse logic efficiently
Introduction To Dashboards

Proficient in designing and constructing both static and dynamic dashboards using spreadsheets
Skilled in profiling and preparing data for dashboard presentation
Experienced in selecting and creating clear charts and tables to communicate data insights effectively
Able to implement advanced spreadsheet functions to support dashboard interactivity and automation
Knowledgeable in applying data validation techniques to ensure data integrity
Proficient in using conditional formatting to highlight key metrics and trends in dashboard views
Capable of building dashboards tailored for multiple business or analysis purposes

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