Certifications
Data Analysis in Excel
Transforming large datasets using PivotTables, Logical Functions, What-if analysis, and Forecasting into meaningful insights by grouping, filtering, and aggregating data—making it easier to identify trends, patterns, and key metrics.
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Introduction to SQL
Oraganizing Relational and Querying databases into structured tables linked by relationships. Using SQL (Structured Query Language), Can efficiently query, insert, update, and manage data.
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Intermediate SQL
Selecting Data, Selecting Data, Aggregate Functions, and Sorting and Grouping. Using SQL (Structured Query Language), for filtering, comparing, and summarizing.
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Introduction to Python
Python Basics (Python data types), Lists, Functions and Packages, and Numpy.
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Intermediate Python
Matplotlib, Dictionaries and Pandas, Logic, Control Flow and Filtering and, Loops
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Joining Data in SQL
Inner Joins, Outer Joins, Cross Joins and Self Joins, Set Theory for SQL Joins such as UNION, UNION ALL, INTERSECT, and EXCEPT clauses, and Subqueries like semi-joins and anti-joins.
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