MLOps Concepts
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
In this course, youll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.
Master data modeling in Power BI.
Learn how to implement and schedule data engineering workflows.
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Discover modern data architectures key components, from ingestion and serving to governance and orchestration.
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.
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.
Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.
Learn how to work with dates and times in Python.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
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.
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 manipulate and visualize categorical data using pandas and seaborn.
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Learn to process, transform, and manipulate images at your will.