Data Governance Concepts
Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
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.
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
Improve data literacy skills by analyzing remote working policies.
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Learn about data science for managers and businesses and how to use data to strengthen your organization.
In this course you will learn the details of linear classifiers like logistic regression and SVM.
Discover modern data architectures key components, from ingestion and serving to governance and orchestration.
Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.
Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.
Learn to process, transform, and manipulate images at your will.
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.
Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.
Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.
Learn to perform linear and logistic regression with multiple explanatory variables.
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.
Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.
Take your R skills up a notch by learning to write efficient, reusable functions.