Cursussen over data, AI en cloud

• GemiddeldVaardigheidsniveau
• 4.8+
• 102

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

• GemiddeldVaardigheidsniveau
• 4.8+
• 102

Learn to import, manipulate, and transform data in Java using the Tablesaw library. Work with CSV files, tabular structures, and complex JSON formats.

• GemiddeldVaardigheidsniveau
• 4.7+
• 102

Explore HR data analysis in Tableau with this case study.

• GemiddeldVaardigheidsniveau
• 4.6+
• 101

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

• GemiddeldVaardigheidsniveau
• 4.8+
• 100

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

• GemiddeldVaardigheidsniveau
• 4.2+
• 100

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

• GemiddeldVaardigheidsniveau
• 4.6+
• 99

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

• 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
• 4.4+
• 96

Learn to detect fraud with analytics in R.

• GemiddeldVaardigheidsniveau
• 3.9+
• 95

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

• GemiddeldVaardigheidsniveau
• 4.8+
• 93

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

• GemiddeldVaardigheidsniveau
• 4.7+
• 89

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

• GemiddeldVaardigheidsniveau
• 4.6+
• 89

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

• GemiddeldVaardigheidsniveau
• 4.6+
• 87

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.

• GemiddeldVaardigheidsniveau
• 4.6+
• 81

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

• GemiddeldVaardigheidsniveau
• 4.7+
• 75

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

• GemiddeldVaardigheidsniveau
• 4.4+
• 75

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

• GemiddeldVaardigheidsniveau
• 4.8+
• 74

Learn the fundamentals of valuing stocks.

• GemiddeldVaardigheidsniveau
• 4.4+
• 74

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

• GemiddeldVaardigheidsniveau
• 4.7+
• 73

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

• GemiddeldVaardigheidsniveau
• 4.7+
• 72

Learn to analyze, plot, and model multivariate data.

• GemiddeldVaardigheidsniveau
• 4.6+
• 71

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

• GemiddeldVaardigheidsniveau
• 4.4+
• 70

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

• GemiddeldVaardigheidsniveau
• 4.8+
• 62

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

• GemiddeldVaardigheidsniveau
• 4.7+
• 62

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

• GemiddeldVaardigheidsniveau
• 4.6+
• 62

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

• GemiddeldVaardigheidsniveau
• 4.7+
• 57

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

• GemiddeldVaardigheidsniveau
• 4.8+
• 56

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.