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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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.
Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.
Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).
Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.
Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.
Learn how to manipulate and visualize categorical data using pandas and seaborn.
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Discover modern data architectures key components, from ingestion and serving to governance and orchestration.
Explore what AI is and how to use it responsibly for smarter, more productive work!
Learn to retrieve and parse information from the internet using the Python library scrapy.
Learn the fundamentals of working with big data with PySpark.
Discover how the Pinecone vector database is revolutionizing AI application development!
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Understand the fundamentals of Machine Learning and how its applied in the business world.
Step right into the dynamic world of data modeling with Snowflake!
Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!
In this course youll learn the basics of working with time series data.
Learn about Large Language Models (LLMs) and how they are reshaping the business world.
Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
In this course you will learn the details of linear classifiers like logistic regression and SVM.
Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.
Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.
Learn about data science for managers and businesses and how to use data to strengthen your organization.