- Course Intro (folder)
- Slack (folder)
- Intro to Data Science (folder)
- Data & data types(folder)
- UNIX Basics (folder)
- Git & Github (folder)
- Homework (folder)
- R and R Studio (folder)
- Packages and Help (folder)
- Getting started in R - Vectors (folder)
- Getting started in R - Data structures (folder)
- Homework (folder)
- Coding Best Practice (folder)
- Reproducibility (folder)
- Solving errors (folder)
- Lab - Getting Started in R (folder)
- Homework (folder)
- Storage Options (folder)
- Flat files CSV and delimited (folder)
- Excel Files (folder)
- Other file formats (folder)
- JSON files (folder)
- Parsing data (folder)
- Lab - Loading data (folder)
- [Homework] (week_02/day_1/9_Homework/homework.html) (folder)
- Creating & writing to PostgreSQL (folder)
- Connecting R to databases (folder)
- Postico (PostgreSQL GUI) (folder)
- Advanced SQL queries 1 (folder)
- Advanced SQL queries 2 (folder)
- Homework (folder)
- Data quality intro (folder)
- Quality data (folder)
- Lab - Data quality (folder)
- Data quality lifecycle (folder)
- Data management intro (folder)
- Classifying data (folder)
- Data governance (folder)
- Critical data elements (folder)
Additional lessons
- Initial data understanding (folder)
- Tidyverse intro (folder)
- Dplyr (folder)
- Joining in dplyr (folder)
- Lab (folder)
- Homework (folder)
- Cleaning data (folder)
- Dealing with outliers (folder)
- Dealing with missing values (folder)
- Tidy data (folder)
- Lab - cleaning data (folder)
- Homework (folder)
- String basics (folder)
- Regular Expressions (folder)
- Lab - Strings & Regex (folder)
- Homework (folder)
- RMarkdown basics (folder)
- Additional material: authoring in R (folder)
- Additional material: CSS (folder)
- Lab (folder)
- Rmarkdown reports (folder)
- Functional Programming (folder) (video)
- Intro to ggplot2 (folder) (video)
- Facets (folder) (video)
- Scales and Coordinates (folder) (video)
- Bad graphs (flipped) (folder)
- Homework (folder)
- Colours and themes (folder)
- Making effective plots (folder)(video)
- Lab: using effective plots (folder)
- Homework (folder)
- Tableau workshop video
- Data visualisation tools (folder) video
- Weekend homework (folder)
- Probability core definitions (folder) video
- Counting rules (folder) video part 1 video part 2
- Combining events (folder)
- Conditional probability (folder)
- Homework & Quiz (folder)
- Distributions: measures of centre (folder) video
- Distributions: measures of spread (folder)video
- Common distributions (folder)
- Homework (folder)
- Sampling distributions & standard errors (folder) video
- Sampling and bias (folder) video
- Sampling minilab (folder)
- Intro to inferential stats (folder) video
- Confidence intervals and bootstrapping (folder) video
- Confidence intervals minilab (folder)
- Homework (folder)
- One sample mean (folder) video
- One sample proportion (folder) video
- Two sample tests (folder) video
- Classical tests (folder)
- Using dates and Times (folder) video
- Time Series (folder) video
- Time Series Tidyverse (folder) video
- Homework (folder)
- Descriptive Analytics (folder)
- KPIs (folder)
- Reporting (folder)
- Good dashboards (folder) video
- Communication (folder)
- Andy McMahon Aggreko talk
- Correlation (folder) video
- Spurious correlations and bad statistics (folder)
- Regression: function forms (folder) video
- Regression: linear (folder) video
- Regression: diagnostics (folder) video
- Supervised and unsupervised (folder)
- Variable engineering (folder)
- Elements of multiple regression (folder) video
- Homework (folder)
- Manual Model building homework review video
- Overfitting (folder) video
- Automated model selection (folder) video
- Model implementation, performance & governance (folder)
- Adam Sroka, Incremental Group : Industry Talk
- Segmentation & clustering intro folder video
- Hierarchical clustering folder
- K-means clustering folder video
- Lab folder
- Turning text into data (folder) Video - all lessons
- Tfidf & n-grams (folder)
- Sentiment analysis (folder)
- Lab (folder)