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Data Analyst’s Toolbox: Excel, SQL, Power BI

سرفصل های دوره

Gain hands-on experience with Excel, Statistics, MySQL and Power BI to drive powerful analysis and communicate insights


1. Course Overview
  • 1. Welcome to the Course

  • 2. ----- PART 1. Exploring Data in MS Excel -----
  • 1. MS Excel for Data Analysis
  • 2.1 Working data clean.xlsx
  • 2. Introduction to Data Analyst Role

  • 3. Cleaning and Preparing Tools
  • 1. Sort and Filter
  • 2. Text to Columns
  • 3. Remove Duplicates
  • 4.1 Data Validation.xlsx
  • 4. Data Validation
  • 5. Find, Replace, Go to
  • 6. Data Entry Form

  • 4. Advanced Forumals and Functions
  • 1. Logical Functions IF, AND, OR
  • 2. Math Functions SUM, COUNT, SUBTOTAL
  • 3. Text Functions LEFT, RIGHT, CONCATENATE, LEN, LOWER, UPPER, PROPER
  • 4. Date Functions YEAR, MONTH, DAY, EOMONTH, DATE
  • 5. Conditional Functions SUMIF, COUNTIF, SUMIFS, COUNTIFS
  • 6. Statistical Functions AVERAGE, AVERAGEIF, AVERAGEIFS
  • 7.1 Financial Analysis.xlsx
  • 7. Financial Functions PMT, PV, FV, RATE, NPER, NPV, IRR

  • 5. Pivot Tables and Lookup Functions
  • 1. Introduction to Pivot Table
  • 2. Calculated Fields in Pivot Table
  • 3. Grouping Data with Pivot Table
  • 4. GetPivotData
  • 5. VLOOKUP with Exact Match
  • 6. INDEX and MATCH functions
  • 7. VLOOKUP with Approximate Match
  • 8. Format as Table
  • 9. Data Model
  • 10. Slicer in Pivot Table
  • 11. Conditional Formatting

  • 6. Part 1 Completed
  • 1. Quiz 1.html

  • 7. ----- PART 2. Statistical Analysis with Excel -----
  • 1. Calculation of Statistical Metrics
  • 2.1 Statistical Analysis.xlsx
  • 2. Scatter Plots

  • 8. Data Analysis ToolPak
  • 1. Activation of Data Analysis ToolPak
  • 2. Descriptive Statistics
  • 3. Histogram
  • 4. Correlation

  • 9. Linear Regression Analysis
  • 1. Linear Regression
  • 2. Explanation of the Output of Regression
  • 3. Muliple Linear Regression

  • 10. AB Testing
  • 1.1 A-B Testing.xlsx
  • 1. Introduction to AB Testing
  • 2. Visualization of AB Testing
  • 3. Statistical Significance

  • 11. Part 2 Completed
  • 1. Quiz 2.html

  • 12. ----- PART 3. Managing Data with MySQL -----
  • 1. What are SQL and MySQL
  • 2. Installing MySQL Workbench

  • 13. Basic SQL Queries
  • 1.1 data.txt
  • 1. Create Table and Insert Data
  • 2. SELECT (DISTINCT) Statement
  • 3. WHERE clause
  • 4. AND, OR, NOT, IN, and BETWEEN Operators
  • 5. LIKE Operator
  • 6. INSERT INTO and DELETE FROM Statements
  • 7. UPDATE SET Statement
  • 8. ORDER BY Statement

  • 14. Intermediate Statements and Functions
  • 1. Aggregate Functions
  • 2. SQL Subqueries
  • 3. GROUP BY Statement
  • 4. HAVING Statement
  • 5. SQL JOINS
  • 6. CASE Statement

  • 15. Advanced Tips and Tricks in MySQL
  • 1. SQL Query - Best Practices
  • 2. Comments in SQL
  • 3. Export and Import Data
  • 4. Stored Procedures
  • 5. Practical Exercises with Solutions (Part 1)
  • 6. Practical Exercises with Solutions (Part 2)

  • 16. Part 3 Completed
  • 1. Quiz 3.html

  • 17. ----- PART 4. Visualization with Power BI -----
  • 1. Power BI vs MS Excel
  • 2. Installing Power BI Desctop

  • 18. Data Connection and Preparation
  • 1.1 Full Data Excel.xlsx
  • 1. Connect to XLSX File
  • 2.1 Orders Data.csv
  • 2. Connect to CSV File
  • 3. Connect to SQL Database
  • 4. Basic Transformations
  • 5. Working with Dates
  • 6. Splitting Columns
  • 7. Conditional Columns
  • 8. Calculated Columns
  • 9. Calculation of Statistics
  • 10. Apply Transformations
  • 11. Managing Data Relationships

  • 19. Charts and Visualization Techniques
  • 1. Stacked Bar Chart
  • 2. 100% Stacked Column Chart
  • 3. Pie and Donut Charts
  • 4. Column Chart with Line
  • 5. Treemap Charts
  • 6. Map and Filled Map Charts
  • 7. Waterfall Chart
  • 8. Gauge Chart
  • 9. Card and KPI
  • 10. Table and Matrix
  • 11. Slicer for Interactive Dashboards
  • 12. Shapes, Textboxes, and Images
  • 13. Visual Relationship

  • 20. Extra Functionalities in Power BI
  • 1. Duplicate Page
  • 2. See and Export Data
  • 3. Enter New Data Manually
  • 4. Update Project Data
  • 5. Wrapping Up of Power BI
  • 6. Power Add-ins in Excel

  • 21. Part 4 Completed
  • 1. Quiz 4.html

  • 22. ----- Congratulations -----
  • 1. Conclusion
  • 2. Next Steps
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