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Excel Masterclass: A-Z Data Analysis Statistics & Dashboard

سرفصل های دوره

Learn Excel with Important Formulas-Functions, PivotTables, Analysis Tools, Graphs and Dashboard for A-Z Data Analysis.


1. Dont Ignore It. Start From Here!
  • 1. Instructions you MUST follow.html
  • 2.1 Microsoft Excel Data Analysis Cheat Sheet.pdf
  • 2. Excel functions and shortcuts cheatsheet.html

  • 2. Necessary Foundation of Data Analysis
  • 1.1 1. Un DA.pdf
  • 1. What is data analysis
  • 2.1 2. Key COMP.pdf
  • 2. Key components of data analysis
  • 3.1 11. EDA.pdf
  • 3. Understanding exploratory data analysis
  • 4. Methods of exploratory data analysis Part 1
  • 5. Methods of exploratory data analysis Part 2
  • 6.1 12. 13. 14. Methods of EDA.pdf
  • 6. Methods of exploratory data analysis Part 3
  • 7. Necessary foundation on data analysis.html

  • 3. Necessary Foundation of Statistical Analysis
  • 1.1 22. Statistical Data Analysis.pdf
  • 1. What is statistical data analysis
  • 2.1 24. stat v s eda.pdf
  • 2. Statistical data analysis vs EDA
  • 3.1 6. Sampling methods.pdf
  • 3. Population vs sample and its methods
  • 4.1 23. Types of Statistics.pdf
  • 4. Types of statistical data analysis
  • 5. A recap on descriptive analysis
  • 6. Inferential statistics Part 1 T-tests and ANOVA
  • 7.1 25. 26. 27. methods of ds and is.pdf
  • 7. Inferential statistics Part 2 Relationships measures
  • 8.1 28. Lin reg.pdf
  • 8. Inferential statistics Part 3 Linear regression
  • 9. Necessary foundation on statistical analysis.html

  • 4. Necessary Foundation on Hypothesis Testing
  • 1.1 36. Hypothesis Testing.pdf
  • 1. Hypothesis testing for inferential statistics
  • 2.1 37. Selecting Appropriate Statistical Test.pdf
  • 2. Selecting statistical test and assumption testing
  • 3.1 38. CSP.pdf
  • 3. Confidence level, significance level, p-value
  • 4.1 39. Making Decision and Conclusion.pdf
  • 4. Making decision and conclusion on findings
  • 5.1 40. Example HT.pdf
  • 5. Complete statistical analysis and hypothesis testing
  • 6. Necessary foundation on hypothesis testing.html

  • 5. Necessary Foundation on Data Visualizations
  • 1.1 44. Data Visualization.pdf
  • 1. Visualizing data for the best insight delivery
  • 2. Several methods of data visualization Part 1
  • 3. Several methods of data visualization Part 2
  • 4.1 45. 46. 47. Data Visualization Methods.pdf
  • 4. Several methods of data visualization Part 3
  • 5. Data visualization and methods.html

  • 6. Data Cleaning and Formatting in Excel
  • 1.1 employee dataset.xlsx
  • 1. Identify and remove duplicates
  • 2. Removing duplicated values.html
  • 3.1 missing mployee dataset.xlsx
  • 3. Dealing with missing values
  • 4. Imputing missing values.html
  • 5.1 outliers sales data.xlsx
  • 5. Defining and removing outliers
  • 6. Dealing with outliers.html
  • 7.1 Incon sales data.xlsx
  • 7. Dealing with inconsistent values
  • 8. Replacing inconsistent value.html
  • 9.1 text to column.xlsx
  • 9. Text-to-columns for data separation
  • 10. Text-to-columns.html

  • 7. Sorting and Filtering for Data Precision
  • 1.1 filtering data.xlsx
  • 1. Sorting and filtering data
  • 2. Sorting and filtering in Excel.html
  • 3.1 advanced filtering data.xlsx
  • 3. Advanced filtering with criteria
  • 4. Advanced filtering method.html

  • 8. Conditional Formatting for Tabular Analysis
  • 1.1 highlight cells.xlsx
  • 1. Highlighting cells based on conditions
  • 2. Cells highlighting in criteria.html
  • 3.1 topbottom.xlsx
  • 3. Findings top and bottom insights
  • 4. Findings top and bottom insights.html
  • 5.1 colorbar.xlsx
  • 5. Creating color scales and color bars
  • 6. Creating color scales and color bars.html

  • 9. Formulas and Functions for Analyzing data
  • 1.1 SAMM business growth data.xlsx
  • 1. SUM, AVERAGE, MIN, and MAX functions
  • 2. Perform SUM and AVERAGE operation.html
  • 3.1 SA business growth data.xlsx
  • 3. SUMIF, and AVERAGEIF functions
  • 4. Using SUMIF and AVERAGEIF functions.html
  • 5.1 CCC business growth data.xlsx
  • 5. COUNT, COUNTA, and COUNTIF functions
  • 6. Utilizing COUNTIF functions.html
  • 7.1 YMD business growth data.xlsx
  • 7. YEAR, MONTH and DAY for date manipulation
  • 8. Extracting year, month and day.html

  • 10. Advanced Formulas and Functions for Analyzing data
  • 1.1 IF business growth data.xlsx
  • 1. IF STATEMENTs for conditional operation
  • 2. Applying NESTED IF operation.html
  • 3.1 VLOOK employeeInfo.xlsx
  • 3. VLOOKUP for column-wise insight search
  • 4. Utilizing VLOOKUP function.html
  • 5.1 HLOOK sales crosstab.xlsx
  • 5. HLOOKUP for row-wise insight search
  • 6. Utilizing HLOOKUP function.html
  • 7.1 XLOOK sales data.xlsx
  • 7. XLOOKUP for robust & complex insight search
  • 8. Utilizing XLOOKUP function.html

  • 11. Graphs and Charts for Data Visualization
  • 1.1 Bar sales data.xlsx
  • 1. Data analysis with Stacked and cluster bar charts
  • 2. Insight generation using Stacked bar charts.html
  • 3.1 Pie-Line sales data.xlsx
  • 3. Data analysis with Pie chart and line chart
  • 4. Insight generation using Pie chart.html
  • 5.1 Area-Tree sales data.xlsx
  • 5. Data analysis with Area chart and TreeMap
  • 6. Insight generation using Area chart.html
  • 7.1 Hist-Box sales data.xlsx
  • 7. Data analysis with Boxplot and Histogram
  • 8. Insight generation using Boxplot.html
  • 9.1 Scatter-Combo sale data.xlsx
  • 9. Data analysis with Scatterplot and Combo chart
  • 10. Insight generation using Scatter plot.html
  • 11.1 Decor sale data.xlsx
  • 11. Adjusting and decorating graphs and charts

  • 12. Data Analysis in PivotTables and PivotCharts
  • 1.1 Pivot data p1.xlsx
  • 1. PivotTables for group data analysis PART 1
  • 2. Group data analysis in PivotTable.html
  • 3.1 Pivot data p2.xlsx
  • 3. PivotTables for crosstab data analysis PART 2
  • 4. Crosstab data analysis in PivotTable.html
  • 5.1 Pivot data p3.xlsx
  • 5. PivotCharts and Slicers for interactivity
  • 6. PivotCharts and Slicers for analysis.html

  • 13. Data Analysis Tools for Statistical Analysis
  • 1.1 data for statistics.xlsx
  • 1. Descriptive statistics and analysis
  • 2. Descriptive statistics.html
  • 3.1 data for ind t-tests.xlsx
  • 3. Independent sample t-test
  • 4. Finding the difference between genders.html
  • 5.1 data for paired t-tests.xlsx
  • 5. Paired sample t-test
  • 6. Finding the difference between time frames.html
  • 7.1 data for anova.xlsx
  • 7. Analysis of variance One way
  • 8. Finding the difference among regions.html
  • 9.1 data for corr.xlsx
  • 9. Correlation test - relationship measure
  • 10. Finding the relationship between numeric data.html
  • 11.1 data for reg.xlsx
  • 11. Regression analysis - influence measure
  • 12. Measuring the influence of IV on DV.html

  • 14. Building Dashboard in Excel
  • 1.1 1. acc inf.xlsx
  • 1. Integrating analysis and graphs for dashboard
  • 2.1 2. canvas.xlsx
  • 2. Building a canvas for implementing dashboard
  • 3.1 3. dashboard.xlsx
  • 3. Creating dashboard with drag and drops
  • 4.1 4. decor dash.xlsx
  • 4. Final adjustment of dashboard elements
  • 5. Creating a complete dashboard.html

  • 15. Final Project - Data Analysis A-Z in Excel
  • 1. Bank churn data analysis in Microsoft Excel.html
  • 2. Final remark for you.html
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    تاریخ انتشار: ۲۰ خرداد ۱۴۰۳
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