Data-Science-Kurse

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.

Learn how to build a model to automatically classify items in a school budget.

Learn how to pull character strings apart, put them back together and use the stringr package.

Learn how to visualize time series in R, then practice with a stock-picking case study.

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Learn efficient techniques in pandas to optimize your Python code.

Learn to use the Census API to work with demographic and socioeconomic data.

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 how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

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 use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

Learn to solve increasingly complex problems using simulations to generate and analyze data.

Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

This course is for R users who want to get up to speed with Python!

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Explore HR data analysis in Tableau with this case study.

Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

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.

In this course youll learn how to use data science for several common marketing tasks.

Learn the fundamentals of valuing stocks.

Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.