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Durch Klick auf die Schaltfläche akzeptierst du unsere Nutzungsbedingungen, unsere Datenschutzrichtlinie und die Speicherung deiner Daten in den USA.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 transform and analyze data within your Microsoft Fabric account
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
This course covers everything you need to know to build a basic machine learning monitoring system in Python
Master Amazon Redshifts SQL, data management, optimization, and security.
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.
In this course youll learn about basic experimental design, a crucial part of any data analysis.
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.
This course is for R users who want to get up to speed with Python!
Learn to build pipelines that stand the test of time.
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.
Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.
Learn to build recommendation engines in Python using machine learning techniques.
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.
In this course you will learn to fit hierarchical models with random effects.
Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
Lerne, wie du mit Keras Deep-Learning-Modelle entwickelst.
Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.
Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.