AWS Cloud Technology and Services Concepts
Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.
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In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
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 cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.
Leverage the OpenAI API to get your AI applications ready for production.
In this course youll learn the basics of working with time series data.
Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.
Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.
Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Learn about Large Language Models (LLMs) and how they are reshaping the business world.
Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.
Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.
Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.
Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.
Step right into the dynamic world of data modeling with Snowflake!
This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.
Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.
Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.
Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.
Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery