Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.8+
• 163

Learn to import, manipulate, and transform data in Java using the Tablesaw library. Work with CSV files, tabular structures, and complex JSON formats.

• IntermediateSkill Level
• 4.8+
• 161

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

• IntermediateSkill Level
• 4.5+
• 159

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

• BasicSkill Level
• 4.6+
• 156

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

• IntermediateSkill Level
• 4.5+
• 154

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

• IntermediateSkill Level
• 4.3+
• 152

In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

• IntermediateSkill Level
• 4.8+
• 151

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

• AdvancedSkill Level
• 4.6+
• 150

Learn to use the Bioconductor package limma for differential gene expression analysis.

• IntermediateSkill Level
• 4.8+
• 148

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

• IntermediateSkill Level
• 4.6+
• 147

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

• AdvancedSkill Level
• 4.4+
• 145

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

• IntermediateSkill Level
• 4.7+
• 140

Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.

• AdvancedSkill Level
• 4.5+
• 140

In this course youll learn techniques for performing statistical inference on numerical data.

• IntermediateSkill Level
• 4.6+
• 139

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

• IntermediateSkill Level
• 4.6+
• 138

Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

• IntermediateSkill Level
• 4.8+
• 137

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

• AdvancedSkill Level
• 4.6+
• 137

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

• IntermediateSkill Level
• 4.5+
• 132

Learn the bag of words technique for text mining with R.

• IntermediateSkill Level
• 4.7+
• 130

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

• IntermediateSkill Level
• 4.6+
• 129

Learn how to access financial data from local files as well as from internet sources.

• IntermediateSkill Level
• 4.5+
• 129

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

• BasicSkill Level
• 4.5+
• 128

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

• AdvancedSkill Level
• 4.4+
• 127

In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

• BasicSkill Level
• 4.7+
• 123

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

• IntermediateSkill Level
• 4.6+
• 123

In this course youll learn how to use data science for several common marketing tasks.

• IntermediateSkill Level
• 4.5+
• 123

Learn to easily summarize and manipulate lists using the purrr package.

• IntermediateSkill Level
• 4.6+
• 121

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

• IntermediateSkill Level
• 4.9+
• 120

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

• AdvancedSkill Level
• 4.6+
• 120

Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

• BasicSkill Level
• 4.5+
• 117

Elevate your analysis with this hands-on course using SQL with DataLab workbooks.