Data-Science-Kurse

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Analyze text data in R using the tidy framework.

Learn the core techniques necessary to extract meaningful insights from time series data.

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 how to approach and win competitions on Kaggle.

In this course youll learn about basic experimental design, a crucial part of any data analysis.

In this course, students will learn to write queries that are both efficient and easy to read and understand.

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.