Data, AI, and Cloud Courses

This course will show you how to combine and merge datasets with data.table.

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

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

Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

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

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

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

This course is for R users who want to get up to speed with Python!

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

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

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Learn efficient techniques in pandas to optimize your Python code.

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

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

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

Explore HR data analysis in Tableau with this case study.

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

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

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

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

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

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

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

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

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

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