Course
Machine Learning for Marketing Analytics in R
- IntermediateSkill Level
- 4.7+
- 116
In this course youll learn how to use data science for several common marketing tasks.
Machine Learning
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Course
In this course youll learn how to use data science for several common marketing tasks.
Machine Learning
Course
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
Applied Finance
Course
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
Data Manipulation
Course
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.
Data Visualization
Course
Learn to process sensitive information with privacy-preserving techniques.
Machine Learning
Course
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.
Applied Finance
Course
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Probability & Statistics
Course
Explore GDPR through real-world cases on data rights, breaches, and compliance challenges.
Data Management
Course
Elevate your analysis with this hands-on course using SQL with DataLab workbooks.
Reporting
Course
Explore HR data analysis in Tableau with this case study.
Data Visualization
Course
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Reporting
Course
Learn defensive programming in R to make your code more robust.
Software Development
Course
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
Probability & Statistics
Course
GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Probability & Statistics
Course
In this course youll learn how to apply machine learning in the HR domain.
Machine Learning
Course
Learn to create animated graphics and linked views entirely in R with plotly.
Data Visualization
Machine Learning
Course
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
Applied Finance
Course
Learn to analyze, plot, and model multivariate data.
Probability & Statistics
Course
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.
Data Visualization
Course
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Applied Finance
Course
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.
Probability & Statistics
Course
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
Software Development
Course
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Applied Finance
Course
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Data Manipulation
Course
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.
Exploratory Data Analysis
Course
Stop rewriting the same joins and calculations, and dive into well-governed, scalable analytics using Sigma data models.
Reporting
Course
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
Probability & Statistics
Course
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Data Visualization
Course
In this course youll learn how to leverage statistical techniques for working with categorical data.
Probability & Statistics