In the Data Analytics training course, you'll learn:
Understanding the Analytics Process
- Load, prepare, manipulate, model, and analyze
- Collection of data
- Transforming data
- Cleaning of data
- Modeling of data
Getting the Shape of the Data
- Using sampling to understand the shape of the data
- Context around data
- Sampling
Understanding What Metrics Can Show and What They Cannot
- Pattern recognition
- Vanity Metrics vs Important metrics
- Real-Time vs Historical data
- Handling anomalies and outages in data
Model Creation
- Measures of accuracy around models
- Regression vs. Classification
- Predictive analytics
Cleaning Data
- Handling bad values
- NULL value removal
- COALESCING
Removing Malformed/Immaterial Data
- Data replacement
- Dropping unnecessary noise
Finding Error Patterns
When to Remove Data
Signs of an Error in an Analysis
Presenting Data
Chart Types:
- Histogram
- Time Series
- Line
- Mosaic
- Classification
Value of Visual Explanation
- Setting up data updates (daily/weekly/monthly)
- Summary
