Intermediate Predictive Analytics in Python
Learn how to prepare and organize your data for predictive analytics.
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In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Explore HR data analysis in Tableau with this case study.
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.
In this course youll learn techniques for performing statistical inference on numerical data.
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Learn to analyze, plot, and model multivariate data.
Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.
Elevate your analysis with this hands-on course using SQL with DataLab workbooks.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!
Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.
Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.
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.
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.
Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.