Exploratory Data Analysis in Power BI
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.
Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Learn how to implement and schedule data engineering workflows.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
Learn how to clean and prepare your data for machine learning!
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
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 use GitHubs various features, navigate the interface and perform everyday collaborative tasks.
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.
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.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
Discover the different ways you can enhance your Power BI data importing skills.
Learn how to work with dates and times in Python.
Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.