Introduction to Data Privacy
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.
Get to grips with the foundational components of LangChain agents and build custom chat agents.
Discover modern data architectures key components, from ingestion and serving to governance and orchestration.
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.
Step right into the dynamic world of data modeling with Snowflake!
Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
In this course youll learn the basics of working with time series data.
Learn to retrieve and parse information from the internet using the Python library scrapy.
Learn the fundamentals of working with big data with PySpark.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Understand the fundamentals of Machine Learning and how its applied in the business world.
Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.
Discover how the Pinecone vector database is revolutionizing AI application development!
In this course you will learn the details of linear classifiers like logistic regression and SVM.
Learn about Large Language Models (LLMs) and how they are reshaping the business world.
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
Learn SQL with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!
This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.