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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Performance Metrics and Data Visualization
( 25 Modules )

Module #1
Introduction to Performance Metrics
Overview of performance metrics, importance, and types
Module #2
Setting Goals and Objectives
Defining key performance indicators (KPIs) and setting targets
Module #3
Data Types and Sources
Understanding different data types and sources for performance metrics
Module #4
Data Quality and Cleaning
Ensuring data quality, handling missing values, and data cleaning techniques
Module #5
Descriptive Statistics
Measuring central tendency, variability, and distribution of data
Module #6
Inferential Statistics
Hypothesis testing, confidence intervals, and significance testing
Module #7
Visualizing Data with Charts
Introduction to data visualization, chart types, and best practices
Module #8
Bar Charts and Column Charts
Creating and interpreting bar charts and column charts
Module #9
Line Charts and Area Charts
Creating and interpreting line charts and area charts
Module #10
Scatter Plots and Bubble Charts
Creating and interpreting scatter plots and bubble charts
Module #11
Histograms and Density Plots
Creating and interpreting histograms and density plots
Module #12
Heatmaps and Treemaps
Creating and interpreting heatmaps and treemaps
Module #13
Dashboards and Reports
Designing effective dashboards and reports
Module #14
Choosing the Right Visualization
Selecting the appropriate visualization type for the task
Module #15
Avoiding Data Visualization Pitfalls
Common mistakes to avoid in data visualization
Module #16
Storytelling with Data
Using data visualization to tell a story and convey insights
Module #17
Interactive Visualizations
Creating interactive visualizations with tools like Tableau or Power BI
Module #18
Big Data Visualization
Visualizing large datasets and performance considerations
Module #19
Geospatial Data Visualization
Visualizing geospatial data with maps and geographic information systems (GIS)
Module #20
Time Series Data Visualization
Visualizing time series data and forecasting techniques
Module #21
Performance Metrics for Business
Applying performance metrics to business problems and use cases
Module #22
Performance Metrics for Web Analytics
Applying performance metrics to web analytics and e-commerce
Module #23
Performance Metrics for Finance
Applying performance metrics to finance and investment analysis
Module #24
Advanced Performance Metrics
Machine learning and AI-driven performance metrics
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Performance Metrics and Data Visualization career


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