Detailed Course Outline
Module 1 - Introduction to Big Data analytics
- Big Data and its characteristics Lesson
- Business value from Big Data
- Data scientist
Module 2 – Data Analytics Lifecycle
- Data analytics lifecycle overview
- Discovery phase
- Data preparation phase
- Model planning phase
- Model building phase
- Communicate results phase
- Operationalize phase
Module 3 – Basic data analytics methods using R
- Introduction to the R programming language
- Analyzing and exploring data
- Statistics for model building and evaluation
Module 4– Advanced analytics theory and methods
- Introduction to advanced analytics—theory and methods
- K-means clustering
- Association rules
- Linear regression
- Logistic regression
- Text analysis
- Naïve Bayes
- Decision trees
- Time series analysis
Module 5: Advanced analytics—technology and tools
- Introduction to advanced analytics—technology and tools
- Hadoop ecosystem
- In-database analytics SQL essentials
- Advanced SQL and MADlib
Module 6: Putting it all together
- Preparing to operationalize
- Preparing project presentations
- Data visualization techniques