Introduction to APIs in Python
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
Learn how to analyze a SQL table and report insights to management.
Learn how to implement and schedule data engineering workflows.
Master data modeling in Power BI.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
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 Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
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.
Learn how to clean and prepare your data for machine learning!
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.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
Learn to retrieve and parse information from the internet using the Python library scrapy.
Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.
Discover the fundamentals of Git for version control in your software and data projects.
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
Learn to process, transform, and manipulate images at your will.
You will investigate a dataset from a fictitious company called Databel in Excel, and need to figure out why customers are churning.
Learn the fundamentals of working with big data with PySpark.