Data, AI, and Cloud Courses

• IntermediateSkill Level
• 4.3+
• 207

Learn how to pull character strings apart, put them back together and use the stringr package.

• IntermediateSkill Level
• 4.6+
• 196

Learn to use the Census API to work with demographic and socioeconomic data.

• IntermediateSkill Level
• 4.5+
• 196

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

• IntermediateSkill Level
• 4.6+
• 191

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

• IntermediateSkill Level
• 4.7+
• 189

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

• IntermediateSkill Level
• 4.5+
• 189

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

• IntermediateSkill Level
• 4.6+
• 186

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

• IntermediateSkill Level
• 4.2+
• 181

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

• IntermediateSkill Level
• 4.2+
• 179

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

• IntermediateSkill Level
• 4.5+
• 174

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

• IntermediateSkill Level
• 3.9+
• 169

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

• IntermediateSkill Level
• 4.7+
• 167

Learn to streamline your machine learning workflows with tidymodels.

• IntermediateSkill Level
• 4.7+
• 160

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

• IntermediateSkill Level
• 4.4+
• 154

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

• IntermediateSkill Level
• 4.5+
• 148

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

• IntermediateSkill Level
• 4.8+
• 147

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

• IntermediateSkill Level
• 4.4+
• 146

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

• IntermediateSkill Level
• 4.7+
• 140

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
• 4.4+
• 139

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

• IntermediateSkill Level
• 4.1+
• 133

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

• IntermediateSkill Level
• 4.8+
• 131

Learn the fundamentals of valuing stocks.

• IntermediateSkill Level
• 4.6+
• 131

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

• IntermediateSkill Level
• 4.3+
• 131

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

• IntermediateSkill Level
• 4.6+
• 129

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

• IntermediateSkill Level
• 4.6+
• 128

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

• IntermediateSkill Level
• 4.7+
• 127

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

• IntermediateSkill Level
• 4.9+
• 120

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!

• IntermediateSkill Level
• 4.7+
• 120

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

• IntermediateSkill Level
• 4.5+
• 117

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

• IntermediateSkill Level
• 4.7+
• 116

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.