Data, AI, and Cloud Courses

Learn how to design Power BI visualizations and reports with users in mind.

In this course, youll learn the basics of relational databases and how to interact with them.

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

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

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

This course will show you how to integrate spatial data into your Python Data Science workflow.

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

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

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

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

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Visualize seasonality, trends and other patterns in your time series data.

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

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

Learn to manipulate and analyze flexibly structured data with MongoDB.

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Learn how to detect fraud using Python.

Learn how to develop deep learning models with Keras.

Explore ways to work with date and time data in SQL Server for time series analysis

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

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

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.