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.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
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.
Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Step right into the dynamic world of data modeling with Snowflake!
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
In this course youll learn the basics of working with time series data.
Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
Learn to retrieve and parse information from the internet using the Python library scrapy.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Learn the fundamentals of working with big data with PySpark.
Understand the fundamentals of Machine Learning and how its applied in the business world.
In this course you will learn the details of linear classifiers like logistic regression and SVM.
Discover how the Pinecone vector database is revolutionizing AI application development!
Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.
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.
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.
Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.