- Bipartite graphs & product recommendation systems
- Graph projections
- Comparing graphs & time-dynamic graphs
- Tying it up!
- Basic workflow
- Repositories
- Undo
- Working with branches
- Collaborating
- Pandas
- Exploratory Analysis & Summary Statistics
- Conversion Attribution
- Personalization A/B Test
- Preparing the data for analysis
- Exploring the relationship between gender and policing
- Visual exploratory data analysis
- Analyzing the effect of weather on policing
- Your first database
- Enforce data consistency with attribute constraints
- Uniquely identify records with key constraints
- Glue together tables with foreign keys
- Manipulating files and directories
- Manipulating data
- Combining tools
- Batch processing
- Creating new tools
- Installing Packages
- Utilizing Channels
- Working with Environments
- Case Study on Using Environments
- Getting ready for object-oriented programming
- Deep dive into classes and objects
- Fancy classes, fancy objects
- Inheritance, polymorphism and composition
- Introduction to HTML
- XPaths and Selectors
- CSS Locators, Chaining, and Responses
- Spiders
- Correlation and Autocorrelation
- Some Simple Time Series
- Autoregressive (AR) Models
- Moving Average (MA) and ARMA Models
- Putting It All Together
- Getting to know PySpark
- Manipulating data
- Getting started with machine learning pipelines
- Model tuning and selection
- Introduction to Big Data analysis with Spark
- Programming in PySpark RDD’s
- PySpark SQL & DataFrames
- Machine Learning with PySpark MLlib
- Your first database
- Enforce data consistency with attribute constraints
- Uniquely identify records with key constraints
- Glue together tables with foreign keys
- What's in the database?
- Summarizing and aggregating numeric data
- Exploring categorical data and unstructured text
- Working with dates and timestamps
- We'll take the CASE
- Short and Simple Subqueries
- Correlated Queries, Nested Queries, and Common Table Expressions
- Window Functions
- Summarizing Data
- Math Functions
- Processing Data in SQL Server
- Window Functions
- Introduction to business intelligence for a online movie rental database
- Decision Making with simpel SQL queries
- Data Driven Decision Making with advanced SQL queries
- Data Driven Decision Making with OLAP SQL queries