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In this course you will learn how to transform your data into useful information for decision making through visualizations. You will also create your data model. Cake Graphics. Bar Charts. Dispersion. Measurements. DAX expressions. At the end of the course you will have created your first report in Power BI Desktop.

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This class covers statistics and statistical methods for data analysis which cuts across all industry and disciplines. Sample topics, Statistical calculations Statistical methods Statistical analysis Quantitative analysis Quantitative analysis techniques Non Quantitative data analysis Research methods Research methods paper section Mathematical analysis Statistical software and spreadsheets like Rsutdio, Excel, SPSS, and many others. and any statistical topic requests by students

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Are you preparing for your college SQL exams and want to excel in database querying? Join my SQL Exam Preparation course, where you’ll get expert guidance from an experienced tutor with a strong background in databases. (mainly PostgreSQL and mySQL) With 2 years of SQL experience, top scores in exams at KdG University, and over a year of tutoring, I’ll help you master SELECT statements and beyond. What you’ll learn: - Basics of SQL: tables, columns, rows - Writing SELECT queries - Filtering data using WHERE, LIKE, and logical operators - Using ORDER BY and LIMIT for sorting and limiting results - Aggregate functions: COUNT, SUM, AVG, MIN, MAX - GROUP BY and HAVING clauses for data aggregation - Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN - Subqueries and nested SELECT statements Who is this for? This course is ideal for anyone looking to strengthen their SQL skills, whether you're a beginner or preparing for college-level exams. We’ll cover core SELECT query concepts, ensuring you have the confidence to work with real-world data and ace your tests. Looking for something more advanced? Check out my other course on CREATE and INSERT statements.

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A- Intro to programming in Python 1- Variables in Python 2- Mathematics in Python 3- List, Tuples, and Dictionaries in Python 4- Indexing and Slicing in Python 5- Conditional statements and Loops in Python 6- Functions in Python B- Intro to Data Science 1- Introduction to AI/ML 2- Basic search algorithms 3- Clustering techniques 4- Density-based clustering 5- Classification techniques 6- Multi-Classification techniques 7- Regression techniques 8- Multivariate Regression techniques 9- Dimensionality reduction 10- Data Visualization 11- Power BI