Cursussen over data, AI en cloud

• GemiddeldVaardigheidsniveau
• 4.7+
• 1.1K

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

• GemiddeldVaardigheidsniveau
• 4.5+
• 1.1K

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

• GemiddeldVaardigheidsniveau
• 4.5+
• 1.1K

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

• GemiddeldVaardigheidsniveau
• 4.6+
• 1.1K

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

• GemiddeldVaardigheidsniveau
• 4.6+
• 1K

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

• GemiddeldVaardigheidsniveau
• 4.6+
• 1K

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

• GemiddeldVaardigheidsniveau
• 4.7+
• 1K

Word een expert in GitHub Copilot om code te begrijpen, te schrijven en te verbeteren met context, aanpassingen en slimme functies.

• GemiddeldVaardigheidsniveau
• 4.6+
• 1K

Maak code die klaar is voor productie met Cursor. Leer over AI-prompts, refactoring, testen en geavanceerde workflows.

• GemiddeldVaardigheidsniveau
• 4.4+
• 1K

Master sampling to get more accurate statistics with less data.

• GemiddeldVaardigheidsniveau
• 4.6+
• 988

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

• GemiddeldVaardigheidsniveau
• 4.2+
• 955

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

• GemiddeldVaardigheidsniveau
• 4.5+
• 896

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

• GemiddeldVaardigheidsniveau
• 4.6+
• 891

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

• GemiddeldVaardigheidsniveau
• 4.7+
• 889

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

• GemiddeldVaardigheidsniveau
• 4.5+
• 874

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

• GemiddeldVaardigheidsniveau
• 4.5+
• 871

Transform almost any dataset into a tidy format to make analysis easier.

• GemiddeldVaardigheidsniveau
• 4.4+
• 848

Learn to create your own Python packages to make your code easier to use and share with others.

• GemiddeldVaardigheidsniveau
• 4.7+
• 845

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

• GemiddeldVaardigheidsniveau
• 4.7+
• 813

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

• GemiddeldVaardigheidsniveau
• 4.6+
• 802

Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.

• GemiddeldVaardigheidsniveau
• 4.3+
• 788

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

• GemiddeldVaardigheidsniveau
• 4.8+
• 775

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

• GemiddeldVaardigheidsniveau
• 4.6+
• 772

Build the foundation you need to think statistically and to speak the language of your data.

• GemiddeldVaardigheidsniveau
• 4.7+
• 754

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

• GemiddeldVaardigheidsniveau
• 4.7+
• 752

Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!

• GemiddeldVaardigheidsniveau
• 4.7+
• 749

Learn to perform linear and logistic regression with multiple explanatory variables.

• GemiddeldVaardigheidsniveau
• 4.7+
• 722

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

• GemiddeldVaardigheidsniveau
• 4.7+
• 706

In this course, youll learn the basics of relational databases and how to interact with them.

• GemiddeldVaardigheidsniveau
• 4.6+
• 694

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

• GemiddeldVaardigheidsniveau
• 4.5+
• 690

Learn to implement distributed data management and machine learning in Spark using the PySpark package.