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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 analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
Learn to streamline your machine learning workflows with tidymodels.
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.
Azure Security
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.
Learn to use the Census API to work with demographic and socioeconomic data.
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.
Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.
Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.
Ensure data consistency by learning how to use transactions and handle errors in concurrent environments.
Learn how to visualize time series in R, then practice with a stock-picking case study.
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.
Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.
In this course youll learn how to apply machine learning in the HR domain.
GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.
Learn the fundamentals of valuing stocks.
You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.
Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.
Learn to easily summarize and manipulate lists using the purrr package.
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!