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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 the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
In this course, youll learn about the concepts of random variables, distributions, and conditioning.
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.
Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.
Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.
In this course youll learn about basic experimental design, a crucial part of any data analysis.
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.
Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.
Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.
Learn the fundamentals of using DataLab, an AI-powered data notebook for data analysis and exploration.
Learn how to detect fraud using Python.