Data, AI, and Cloud Courses

Learn how to design and implement triggers in SQL Server using real-world examples.

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

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

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

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.

Elevate decision-making skills with Decision Models, analysis methods, risk management, and optimization techniques.

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.

Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

Learn survey design using common design structures followed by visualizing and analyzing survey results.

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Learn how to produce interactive web maps with ease using leaflet.

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

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

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

Learn how to write effective tests in Java using JUnit and Mockito to build robust, reliable applications with confidence.

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

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

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

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

Learn how to efficiently collect and download data from any website using R.