Upon enrollment, you gain access to our entire course list!

Coming in January 2024:

More Marketing Analytics Data Science Projects!

Causal Inference for Data Scientists

Lab 90: Causal Machine Learning Part 2 w/ CausalML, CATE in Python

Lab 89: Causal Inference & A/B Testing for Data Scientist Part 1 in R(Feat. Tidymodels)

Marketing

Lab 88: Price Optimization with R(Machine Learning | XGBoost)

Lab 87: Price Optimization with Python(PyGAM)

Lab 86: Python for Customer Segmentation Models(Scikit Learn and H2O)

Time Series Forecasting

Lab 85: Cashflow Forecasting| Shiny Web App that Automates Excel Cash Flow Forecasting

AI for Data Scientists

Lab 84: Building AI-Powered Apps(Email Lead Scoring App with OpenAI) (NEW!!!)

ChatGPT For Data Scientists

Lab 83: ChatGPT Part 2(Make A High-End Shiny App in HALF THE TIME)

Lab 82: ChatGPT Part 1(What I Learned From Making A FULL Machine Learning Model + App With ChatGPT)

Data Engineering ETL Automation

Lab 81: Automating Time Series Forecasting with Modeltime + Prefect

Shiny App: New Features

Lab 80: Shiny for Python!

Lab 79: Build A Shiny App In 15-Minutes with this Drag 'N Drop Editor

Lab 78: Shiny Custom Business Themes with Bootstrap 5

Geospatial Analysis

Lab 77: Geospatial Part 2:Networks with sf, nngeo, and osrm

Lab 76: Geospatial Part 1:Intro to tidygeocoder, sf, and mapview

Bayesian (Probabilistic Prediction)

Lab 75: Bayesian Part 2:Price Elasticity, Nonlinear Models, & Hierarchical Modeling

Lab 74: Bayesian Part 1:Introduction to Bayesian for Business Analysis

Special Time Series

Lab 73: NEW Time Series Features | Timetk

Natural Language Processing

Lab 72: NLP in R Masterclass | Tidymodels & Text Recipes

Lab 71: Introduction to NLP with Python | Customer Survey Data

Lab 70: Introduction to NLP with R | Resume Analyzer App

Excel to R & Python

Lab 69: Risk Analysis & Monte Carlo Simulation in Python

Lab 68: Excel to R: Introduction to Risk Analysis| Monte Carlo Simulation | Shiny App

Spark in R & Python

Lab 67: Time Series with Spark (Modeltime)| Shiny Google Analytics Forecaster

Lab 66: Spark in Python| PySpark | 4500+ Stocks & Plotly Dash Investment App

Lab 65: Spark in R | sparklyr| 4500+ Stocks & Shiny Investment App

Time Series: R & Python

Lab 64: How to Forecast 100 Time Series| In Python (Sktime)

Lab 63: How to Forecast 100 Time Series| In R (Modeltime)

Special: Time Series Forecasting with Modeltime

Lab 63: How to Forecast 100 Time Series| Modeltime Nested

Lab 60: Forecasting Airline Travel & COVID-19| New Modeltime Features

Lab 54: Modeltime RecursiveAutoregressive Machine Learning | Energy Demand Forecasting

Lab 53B: Modeltime H2O| Forecasting with H2O AutoML

Lab 53A: Modeltime GluonTS| SaturnCloud NVIDIA GPU Bonus

Lab 50: Hierarchical Forecasting LightGBM| Shiny Hierarchical Forecaster App Bonus

Lab 47: Forecasting with Autoregressive Machine Learning(Recursive) | Scalable AR(ML) Bonus

Lab 46: Forecasting at Scale with Modeltime| "Nostradamus" Auto-Forecasting Shiny App Bonus

Lab 38: Time Series Forecasting| Intro to Modeltime

Customer Analytics Series with R & Python

Lab 62 (Python): Marketing Mix Modeling (MMM)Optimization | Dash App Bonus

Lab 61 (R): Automated Marketing Mix Modeling (MMM)| Facebook Robyn | Shiny App Bonus

Lab 59 (Python): Customer Lifetime Value with Machine Learning| Dash App Bonus

Lab 58 (R): Customer Lifetime Value with Machine Learning| Shiny App Bonus

Production with Targets

Lab 57: Targets & Modeltime for Production Forecasting| Automated Forecast Audit Report

Lab 56: Targets Machine Learning Pipelines| Shiny Customer Churn App (Marketing)

Tidy-Modeling Ecosystem

Lab 52: Stacks Ensembles| Customer Churn Retention App

Lab 51: Deep Learning with Torch & Tabnet| Shiny Loan Default Scorer App Bonus | Special Guest: Josh Starmer BAM

Lab 50: Hierarchical Forecasting LightGBM| Shiny Hierarchical Forecaster App Bonus

Lab 49: Feature Engineering & Customer Analytics| Special Guest: Max Kuhn | Shiny Customer Explorer Bonus

Lab 48: NLP for Business | Text Recipes| Shiny AutoNLP Bonus

Building an R Package (R Developer Series)

Lab 45 [Part 3]: Lab 45: Shiny Apps with Golem | golem | Shiny PowerPoint Golem App Bonus

Lab 44 [Part 2]: R Package Development | usethis | Shiny PowerPoint Bonus

Lab 43 [Part 1]: Tidy Eval + PowerPoint Automation | officer & rlang | Automate PowerPoint Bonus

R in Production (MLOps)

Lab 42 [Part 4]: Automating Google Sheets with R API (Plumber, Docker, & AWS)

Lab 41 [Part 3]: Scalable Forecasting with Metaflow + Modeltime + AWS

Lab 40 [Part 2]: Docker for Data Science

Lab 39 [Part 1]: Building a Bankruptcy Prediction API with H2O & MLFlow

Python & R Series, 5-Part Series

Lab 37 [Part 5]: NLP & PDF Text Extraction (spaCy)

Lab 36 [Part 4]: TensorFlow Multivariate Forecasting & Enhanced TF Tutorial (Time Series, Energy)

Lab 35 [Part 3]: TensorFlow Univariate Forecasting & Gold Forecasting App (Time Series, Finance)

Lab 34 [Part 2]: Advanced Customer Segmentation & Market Basket Analyzer App(E-Commerce, Scikit-Learn)

Lab 33 [Part 1]: Employee Segmentation with Python & R(HR Analytics, Scikit-Learn)

Shiny API, 5-Part Series

Lab 32 [Part 5]: Text Mining Tweets with Twitter & Tidytext

Lab 31 [Part 4]: Forecasting Google Analytics with Facebook Prophet & Shiny

Lab 30 [Part 3]: Shiny Financial Analysis with Tidyquant API (Finance)

Lab 29 [Part 2]: Shiny Crude Oil Forecast (Multivariate ARIMA) with Quandl API & Fable

Lab 28 [Part 1]: Shiny Real Estate App with Zillow API

Marketing Analytics, 4-Part Series

Lab 27 [Part 4]: Google Trends Automation with Shiny

Lab 26 [Part 3]: Machine Learning for Customer Journey

Lab 25 [Part 2]: Marketing Multi-Channel Attribution with ChannelAttribution

Lab 24 [Part 1]: A/B Testing for Website Optimization with Infer & Google Optimize

SQL for Data Scientists, 3-Part Series

Lab 23 [Part 3]: Google Analytics & BigQuery (SQL) - Conversion Funnel Analysis

Lab 22 [Part 2]: SQL for Time Series - Mortgage Loan Delinquency

Lab 21 [Part 1]: SQL for Data Science - Home Loan Applications & Default

Plus 20 More Labs:

Lab 20: Explaining Machine Learning for Customer Churn

Lab 19: Network Analysis - Using Customer Credit Card History to Cluster Influencers

Lab 18: Anomaly Detection for Time Series

Lab 17: Anomaly Detection with H2O Machine Learning

Lab 16: R Optimization Toolchain - Part 2 - Stock Portfolio Analysis & Nonlinear Programming

Lab 15: R's Optimization Toolchain For Business Decision Making Part 1

Lab 14: Customer Churn Survival Analysis

Lab 13: Big Data - Wrangling 4.6M Rows (375 MB) of Financial Data with data.table

Lab 12: How I Built This - R Package Anomalize using Tidy Eval & Rlang

Lab 11: Market Basket Analysis & Recommendation Systems w/ recommenderlab

Lab 10: Building API's with Plumber & Postman

Lab 9: Finance with R - Performance Analysis & Portfolio Optimization with tidyquant

Lab 8: Web Scraping - Build A Strategic Database With Product Data

Lab 7: 5 Strategies to Improve Business Forecasting by 50% (or more)

Lab 6: Communicating Machine Learning with the rmarkdown package

Lab 5: Hands-On Coding with the NEW parsnip package

Lab 4: H2O AutoML - Erin LeDell Guest Appearance!

Lab 3: Marketing Analytics Case Study - Excel to R

Lab 2: R In Production: Building Production-Quality Apps with ShinyLab 1:How to Learn R Fast!