Data, AI, and Cloud Courses

You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

Learn to retrieve and parse information from the internet using the Python library scrapy.

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Learn how to clean and prepare your data for machine learning!

Discover the different ways you can enhance your Power BI data importing skills.

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

Understand the fundamentals of Machine Learning and how its applied in the business world.

Learn how to manipulate and visualize categorical data using pandas and seaborn.

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

Learn how to work with dates and times in Python.

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

Learn the fundamentals of working with big data with PySpark.

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

Leverage the OpenAI API to get your AI applications ready for production.

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

Learn to perform linear and logistic regression with multiple explanatory variables.

In this course youll learn the basics of working with time series data.

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!