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.
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.
Learn how to analyze a SQL table and report insights to management.
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
Learn how to implement and schedule data engineering workflows.
Discover the different ways you can enhance your Power BI data importing skills.
Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
Learn how to clean and prepare your data for machine learning!
You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.
Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Learn how to work with dates and times in Python.
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.
Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.