ML for Analytics
Apply ML to business analytics — predictive models, A/B testing, churn prediction.
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After this skill you can…
- Build a churn prediction model
- Design and analyse an A/B test correctly
- Explain LTV and attribution models
Prerequisites
Watch (10 videos)
Analyze and Predict Shipping Time Using Machine Learning
→ Analyze shipping data with ML→ Predict shipping time using data-driven models
Advanced Business Analytics Capstone
→ Develop predictive models for business→ Analyze data for business insights
Data Visualization with Plotly Express
→ Create interactive data visualizations with Plotly Express→ Use Python for data analysis
Data Visualization with Python
→ Create data visualizations with Python→ Use coding tools for data analysis
Time Series Forecasting with Facebook Prophet in Python
→ Build time series forecasting models with Facebook Prophet→ Analyze time series data with Python libraries
Python: Master House Price Prediction with Linear Regression
→ Prepare housing datasets for analysis→ Build predictive models with linear regression→ Evaluate model accuracy
Forecasting with the FB Prophet Model
→ Build time series forecasting models with Prophet→ Use Python for data analytics
Analytics in 15: Building the World's Largest Games with AWS Data Streaming- AWS Analytics in 15
→ Build analytics applications using AWS Data Streaming→ Collect and utilize streaming data for gaming industry
AI/BI Driving Speed to Value in Supply Chain
→ Build AI-powered supply chain analytics solutions→ Integrate machine learning models into business intelligence platforms
Build Predictive Analytics in Tableau Using Machine Learning Models Deployed on Amazon SageMaker
→ Deploy ML models on Amazon SageMaker→ Integrate ML models with Tableau
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