Handledningar i data science

Learn how to use the Power BI CALCULATE() function while giving examples of how you can use it.

Learn how to manage threads and processes with Python’s multiprocessing module. Discover key techniques for parallel programming. Enhance your code efficiency with examples.

Learn what an executable file is and how to convert a Python script to an .exe file using PyInstaller, Nuitka, and auto-py-to-exe.

Learn about the essential Python tools for software development, web scraping and development, data analysis and visualization, and machine learning.

Learn PySpark with runnable code: set up PySpark 4.3, select, filter, group, and join DataFrames, query with Spark SQL, and cluster customers with pyspark.ml.

Understand all the ins and outs of how to create Power BI heatmaps and their applications

Generating synthetic data using Python Faker to supplement real-world data for application testing and data privacy.

Learn the basics of the 25 most popular SQL commands and how to use them.

Use LIKE to filter SQL records on specific string matches. This tutorial teaches you to use wildcards, NOT, LOWER, UPPER, and CASE WHEN with LIKE.

If you are looking to get started with SQL, we’ve got you covered. In this SQL tutorial, we will introduce you to SQL queries - a powerful tool that enables us to work with the data stored in a database.

Explore what Pytest is and what it's used for while comparing it to other software testing methods.

Discover everything you need to know about Kubeflow and explore how to build and deploy Machine Learning Pipelines