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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