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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.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.
Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!
Learn how to create, customize, and share data visualizations using Matplotlib.
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!
Learn Java from the ground up with this beginner-friendly course, mastering essential programming concepts and skills.
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.
Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.
Discover the world of Amazon Web Services (AWS) and understand why its at the forefront of cloud computing.
Learn the key components of building a strong data culture within an organization.
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.
Discover branches and remote repos for version control in collaborative software and data projects using Git!
No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
Improve your Python data importing skills and learn to work with web and API data.
Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.
This introductory and conceptual course will help you understand the fundamentals of data warehousing.
Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.
Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.
Build Python skills to elevate your finance career. Learn how to work with lists, arrays and data visualizations to master financial analyses.
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.
Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.
Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.
This course will take you from Snowflakes foundational architecture to mastering advanced SnowSQL techniques.