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.
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
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 how to implement and schedule data engineering workflows.
Master data modeling in Power BI.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Learn to retrieve and parse information from the internet using the Python library scrapy.
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.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
Learn how to work with dates and times in Python.
Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.
Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.
Discover modern data architectures key components, from ingestion and serving to governance and orchestration.
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 how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.
Learn the fundamentals of working with big data with PySpark.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
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.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Learn how to manipulate and visualize categorical data using pandas and seaborn.