Intermediate DAX in Power BI
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
Learn to retrieve and parse information from the internet using the Python library scrapy.
Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.
Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.
Learn how to work with dates and times in Python.
Learn how to clean and prepare your data for machine learning!
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.
Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.
Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!
Understand the fundamentals of Machine Learning and how its applied in the business world.
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.
Leverage the OpenAI API to get your AI applications ready for production.
Learn the fundamentals of working with big data with PySpark.
Discover the different ways you can enhance your Power BI data importing skills.
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
In this course youll learn the basics of working with time series data.
Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.
Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!
Get to grips with the foundational components of LangChain agents and build custom chat agents.