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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Learn to process sensitive information with privacy-preserving techniques.
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Learn how to prepare and organize your data for predictive analytics.
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Learn the fundamentals of valuing stocks.
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.
Learn to easily summarize and manipulate lists using the purrr package.
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
In this course youll learn how to apply machine learning in the HR domain.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
In this course youll learn how to use data science for several common marketing tasks.
Learn to analyze, plot, and model multivariate data.
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.
Elevate your analysis with this hands-on course using SQL with DataLab workbooks.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
Explore HR data analysis in Tableau with this case study.