Cursussen over data, AI en cloud

• GeavanceerdVaardigheidsniveau
• 4.7+
• 133

Verbind Java met PostgreSQL via JDBC. Schrijf veilige querys, beheer transacties en werk efficiënt met grote datasets.

• GeavanceerdVaardigheidsniveau
• 4.6+
• 132

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

• GeavanceerdVaardigheidsniveau
• 4.5+
• 132

In this course youll learn techniques for performing statistical inference on numerical data.

• GemiddeldVaardigheidsniveau
• 4.4+
• 132

Practice Tableau with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

• GemiddeldVaardigheidsniveau
• 4.7+
• 128

Learn how containers work in Azure, including registries, ACI, AKS basics, scaling, monitoring, and troubleshooting.

• BasisVaardigheidsniveau
• 4.5+
• 127

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

• GemiddeldVaardigheidsniveau
• 4.1+
• 127

Azure Security

• GeavanceerdVaardigheidsniveau
• 4.5+
• 126

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

• GemiddeldVaardigheidsniveau
• 4.6+
• 123

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

• GemiddeldVaardigheidsniveau
• 4.9+
• 122

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

• GemiddeldVaardigheidsniveau
• 4.0+
• 122

Learn the bag of words technique for text mining with R.

• GeavanceerdVaardigheidsniveau
• 4.3+
• 121

Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

• GemiddeldVaardigheidsniveau
• 4.7+
• 119

Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

• BasisVaardigheidsniveau
• 4.6+
• 119

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

• GemiddeldVaardigheidsniveau
• 4.5+
• 118

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

• GemiddeldVaardigheidsniveau
• 4.5+
• 118

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

• GemiddeldVaardigheidsniveau
• 4.6+
• 117

Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.

• BasisVaardigheidsniveau
• 4.6+
• 115

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

• BasisVaardigheidsniveau
• 4.7+
• 114

Explore GDPR through real-world cases on data rights, breaches, and compliance challenges.

• GemiddeldVaardigheidsniveau
• 4.6+
• 114

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

• GemiddeldVaardigheidsniveau
• 4.2+
• 114

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

• GemiddeldVaardigheidsniveau
• 4.5+
• 113

Learn how to store, secure, scale, and process data in Azure using Blob Storage, Cosmos DB, queues, and event-driven services.

• BasisVaardigheidsniveau
• 4.9+
• 110

Supercharge your consulting workflows with AI! Research, analyze, and communicate more productively and effectively.

• GemiddeldVaardigheidsniveau
• 4.7+
• 108

Explore HR data analysis in Tableau with this case study.

• GemiddeldVaardigheidsniveau
• 4.6+
• 105

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+
• 104

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

• GemiddeldVaardigheidsniveau
• 4.6+
• 104

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

• GemiddeldVaardigheidsniveau
• 4.8+
• 103

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

• GemiddeldVaardigheidsniveau
• 4.6+
• 103

In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

• GeavanceerdVaardigheidsniveau
• 4.4+
• 103

In this course youll learn how to leverage statistical techniques for working with categorical data.