Introduction to Alteryx
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
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.
Learn how to analyze a SQL table and report insights to management.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Learn how to implement and schedule data engineering workflows.
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.
Master data modeling in Power BI.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Learn how to work with dates and times in Python.
Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
Learn how to clean and prepare your data for machine learning!
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Learn the fundamentals of working with big data with PySpark.
Learn to retrieve and parse information from the internet using the Python library scrapy.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.
Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.
Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.