Cursussen over data, AI en cloud

• BasisVaardigheidsniveau
• 4.8+
• 91.6K

Learn how to create and query relational databases using SQL in just two hours.

• BasisVaardigheidsniveau
• 4.7+
• 33.9K

• BasisVaardigheidsniveau
• 4.6+
• 21.9K

• BasisVaardigheidsniveau
• 4.6+
• 21.9K

Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.

• BasisVaardigheidsniveau
• 4.6+
• 20.2K

• BasisVaardigheidsniveau
• 4.6+
• 11.9K

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

• BasisVaardigheidsniveau
• 4.6+
• 11.2K

Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

• GemiddeldVaardigheidsniveau
• 4.6+
• 7.8K

Learn to combine data from multiple tables by joining data together using pandas.

• BasisVaardigheidsniveau
• 4.7+
• 5.6K

Learn the key concepts of data modeling on Power BI.

• GemiddeldVaardigheidsniveau
• 4.5+
• 4.7K

Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.

• GemiddeldVaardigheidsniveau
• 4.5+
• 4.6K

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

• BasisVaardigheidsniveau
• 4.7+
• 4.1K

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

• GemiddeldVaardigheidsniveau
• 4.6+
• 4K

Master data modeling in Power BI.

• BasisVaardigheidsniveau
• 4.6+
• 3.9K

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

• GemiddeldVaardigheidsniveau
• 4.6+
• 3.5K

Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

• BasisVaardigheidsniveau
• 4.6+
• 3.5K

Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

• BasisVaardigheidsniveau
• 4.6+
• 3.1K

Discover the different ways you can enhance your Power BI data importing skills.

• GemiddeldVaardigheidsniveau
• 4.6+
• 2.9K

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

• GemiddeldVaardigheidsniveau
• 4.5+
• 2.7K

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

• BasisVaardigheidsniveau
• 4.5+
• 2.7K

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

• GemiddeldVaardigheidsniveau
• 4.6+
• 2.3K

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

• BasisVaardigheidsniveau
• 4.6+
• 2.1K

Leer SQL met AI door prompts te schrijven, queries te maken en data te analyseren om echte problemen op te lossen.

• BasisVaardigheidsniveau
• 4.4+
• 1.7K

Learn to combine data across multiple tables to answer more complex questions with dplyr.

• GemiddeldVaardigheidsniveau
• 4.5+
• 1.7K

In this course youll learn the basics of working with time series data.

• GemiddeldVaardigheidsniveau
• 4.6+
• 1.5K

Learn how to manipulate and visualize categorical data using pandas and seaborn.

• BasisVaardigheidsniveau
• 4.6+
• 1.4K

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

• BasisVaardigheidsniveau
• 4.6+
• 1.4K

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

• GemiddeldVaardigheidsniveau
• 4.7+
• 1.4K

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

• BasisVaardigheidsniveau
• 4.6+
• 1.2K

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

• GemiddeldVaardigheidsniveau
• 4.5+
• 874

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