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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.
Leverage the OpenAI API to get your AI applications ready for production.
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.
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!
Learn how to analyze a SQL table and report insights to management.
Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.
Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.
Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Learn how to clean and prepare your data for machine learning!
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.
Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.
Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.
Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!
Get to grips with the foundational components of LangChain agents and build custom chat agents.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.
Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).
In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Discover how the Pinecone vector database is revolutionizing AI application development!
Learn to retrieve and parse information from the internet using the Python library scrapy.
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!