Data, AI, and Cloud Courses

In this course you will learn to fit hierarchical models with random effects.

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

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 to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Master SQL Server programming by learning to create, update, and execute functions and stored procedures.

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

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

Learn the essentials of parsing, manipulating and computing with dates and times in R.

Learn how to detect fraud using Python.

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

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

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

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

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Learn to manipulate and analyze flexibly structured data with MongoDB.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.