Data-Science-Kurse

Learn how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

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.

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Learn to manipulate and analyze flexibly structured data with MongoDB.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

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 covers everything you need to know to build a basic machine learning monitoring system in Python

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

Learn how to segment customers in Python.

Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Learn how to efficiently collect and download data from any website using R.

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Learn how to write recursive queries and query hierarchical data structures.

Learn survey design using common design structures followed by visualizing and analyzing survey results.

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Learn to streamline your machine learning workflows with tidymodels.

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

Learn how to access financial data from local files as well as from internet sources.