An introduction to machine learning with no coding involved.
👉 https://www.datacamp.com/courses/understanding-machine-learning
Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
👉 https://www.datacamp.com/courses/analyzing-business-data-in-sql
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
👉 https://www.datacamp.com/courses/intro-to-python-for-data-science
In this course, you’ll learn how to import your data from a variety of sources, including .csv, .xls, text files, and more. After learning how to import your data you will prepare your data for analysis.
👉 https://www.datacamp.com/tracks/importing-cleaning-data-with-python
Learn the fundamentals of neural networks and how to build deep learning models using Keras in Python.
👉 https://www.datacamp.com/courses/introduction-to-deep-learning-in-python
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved.
👉 https://www.datacamp.com/courses/introduction-to-statistics
Learn how to use ChatGPT. Discover best practices for writing prompts and explore common business use cases for the powerful AI tool.
👉 https://www.datacamp.com/courses/introduction-to-chatgpt
An introduction to data visualization with no coding involved.
👉 https://www.datacamp.com/courses/understanding-data-visualization
Discover how data engineers lay the groundwork that makes data science possible. No coding is involved.
👉 https://www.datacamp.com/courses/understanding-data-engineering
Learn to retrieve and parse information from the internet using the Python library Scrapy.
👉 https://www.datacamp.com/courses/web-scraping-with-python
Learn the fundamentals of AI. No programming experience is required.
👉 https://www.datacamp.com/courses/ai-fundamentals
Learn how to use GitHub's various features, navigate the interface and perform everyday collaborative tasks.