Data-, AI- och molnkurser

• MellanliggandeFärdighetsnivå
• 4.7+
• 1.2K

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

• MellanliggandeFärdighetsnivå
• 4.6+
• 1.2K

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

• MellanliggandeFärdighetsnivå
• 4.6+
• 1.2K

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

• MellanliggandeFärdighetsnivå
• 4.6+
• 1.1K

Create new features to improve the performance of your Machine Learning models.

• MellanliggandeFärdighetsnivå
• 4.6+
• 1.1K

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

• MellanliggandeFärdighetsnivå
• 4.6+
• 1.1K

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

• MellanliggandeFärdighetsnivå
• 4.7+
• 1.1K

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

• MellanliggandeFärdighetsnivå
• 4.4+
• 1.1K

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

• MellanliggandeFärdighetsnivå
• 4.7+
• 1.1K

In this course you will learn the basics of machine learning for classification.

• MellanliggandeFärdighetsnivå
• 4.4+
• 1.1K

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.

• MellanliggandeFärdighetsnivå
• 4.3+
• 998

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

• MellanliggandeFärdighetsnivå
• 4.7+
• 983

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

• MellanliggandeFärdighetsnivå
• 4.4+
• 966

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

• MellanliggandeFärdighetsnivå
• 4.6+
• 930

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

• MellanliggandeFärdighetsnivå
• 4.6+
• 900

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

• MellanliggandeFärdighetsnivå
• 4.6+
• 887

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

• MellanliggandeFärdighetsnivå
• 4.4+
• 884

Master sampling to get more accurate statistics with less data.

• MellanliggandeFärdighetsnivå
• 4.7+
• 845

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

• MellanliggandeFärdighetsnivå
• 4.3+
• 824

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

• MellanliggandeFärdighetsnivå
• 4.7+
• 809

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

• MellanliggandeFärdighetsnivå
• 4.6+
• 802

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

• MellanliggandeFärdighetsnivå
• 4.5+
• 802

Learn to start developing deep learning models with Keras.

• MellanliggandeFärdighetsnivå
• 4.6+
• 791

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

• MellanliggandeFärdighetsnivå
• 4.4+
• 789

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

• MellanliggandeFärdighetsnivå
• 4.3+
• 776

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

• MellanliggandeFärdighetsnivå
• 4.7+
• 768

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

• MellanliggandeFärdighetsnivå
• 4.7+
• 708

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

• MellanliggandeFärdighetsnivå
• 4.5+
• 693

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

• MellanliggandeFärdighetsnivå
• 4.4+
• 688

Learn how to design Power BI visualizations and reports with users in mind.

• MellanliggandeFärdighetsnivå
• 4.6+
• 687

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.