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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.
Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.
Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.
This course introduces dbt for data modeling, transformations, testing, and building documentation.
Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.
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.
Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!
The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Learn the architecture behind GPT models and master advanced prompt crafting to unlock ChatGPTs full potential.
Learn about the power of Microsoft Azure and cloud computing software to help you improve your data engineering skills.
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.
Take your Tableau skills up a notch with advanced analytics and visualizations.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
Learn how to analyze a SQL table and report insights to management.
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
Learn how to use GitHubs various features, navigate the interface and perform everyday collaborative tasks.
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Discover the fundamental concepts of object-oriented programming (OOP), building custom classes and objects!
Learn to use best practices to write maintainable, reusable, complex functions with good documentation.
Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques for monitoring and improving data quality.