Cursussen over data, AI en cloud

• GemiddeldVaardigheidsniveau
• 4.6+
• 101

Learn to easily summarize and manipulate lists using the purrr package.

• GemiddeldVaardigheidsniveau
• 4.2+
• 99

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

• GemiddeldVaardigheidsniveau
• 4.8+
• 98

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

• GemiddeldVaardigheidsniveau
• 4.3+
• 98

Learn to detect fraud with analytics in R.

• GemiddeldVaardigheidsniveau
• 4.5+
• 96

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.

• GemiddeldVaardigheidsniveau
• 3.9+
• 95

Learn how to build an amortization dashboard in Google Sheets with financial and conditional formulas.

• GemiddeldVaardigheidsniveau
• 4.8+
• 94

This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

• BasisVaardigheidsniveau
• 4.6+
• 94

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

• GemiddeldVaardigheidsniveau
• 4.6+
• 94

Learn how to monitor, diagnose, and optimize Azure applications using Azure Monitor, Application Insights, and Log Analytics.

• GeavanceerdVaardigheidsniveau
• 4.8+
• 92

Learn to process sensitive information with privacy-preserving techniques.

• GemiddeldVaardigheidsniveau
• 4.6+
• 92

Learn to design scalable event-driven architectures in Azure using messaging services and real-world integrations.

• GemiddeldVaardigheidsniveau
• 4.8+
• 89

Learn defensive programming in R to make your code more robust.

• GemiddeldVaardigheidsniveau
• 4.6+
• 86

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types of data science problems.

• GemiddeldVaardigheidsniveau
• 4.7+
• 83

Learn to build simple models of market response to increase the effectiveness of your marketing plans.

• GemiddeldVaardigheidsniveau
• 4.0+
• 83

You will use Net Revenue Management techniques in Google Sheets for a Fast Moving Consumer Goods company.

• BasisVaardigheidsniveau
• 4.8+
• 79

Maak interactieve AI-apps in Sigma met input van gebruikers, acties en mooie interfaces, zonder dat je hoeft te programmeren.

• GemiddeldVaardigheidsniveau
• 4.4+
• 78

In this course youll learn how to apply machine learning in the HR domain.

• GemiddeldVaardigheidsniveau
• 4.8+
• 76

Learn the fundamentals of valuing stocks.

• GemiddeldVaardigheidsniveau
• 4.7+
• 76

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

• BasisVaardigheidsniveau
• 4.7+
• 74

Elevate your analysis with this hands-on course using SQL with DataLab workbooks.

• GemiddeldVaardigheidsniveau
• 4.4+
• 74

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

• GemiddeldVaardigheidsniveau
• 4.7+
• 73

Learn to analyze, plot, and model multivariate data.

• GemiddeldVaardigheidsniveau
• 4.7+
• 72

Advance your Alteryx skills with real fitness data to develop targeted marketing strategies and innovative products!

• BasisVaardigheidsniveau
• 4.7+
• 67

Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.

• GemiddeldVaardigheidsniveau
• 4.4+
• 65

Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

• GemiddeldVaardigheidsniveau
• 4.6+
• 64

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

• GeavanceerdVaardigheidsniveau
• 4.1+
• 64

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

• GemiddeldVaardigheidsniveau
• 4.7+
• 63

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

• GemiddeldVaardigheidsniveau
• 4.8+
• 62

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

• GemiddeldVaardigheidsniveau
• 4.6+
• 61

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