A brief course for beginners that starts from scratch and progresses toward understanding the different fields of artificial intelligence. It covers key concepts essential for today’s job market. This course is designed for anyone looking to build a solid foundation in AI-related fields.

Introduction to Artificial Intelligence is a free course offered by Edraak that covers the concept and philosophy of artificial intelligence, search algorithms in AI, and how machine learning works within AI. The course also explores the types, applications, uses, and goals of artificial intelligence, and includes some of the equations used in AI, explaining how they work and how machines are introduced to them.

A comprehensive course that explains the fundamentals of artificial intelligence and machine learning. It is suitable for beginners who want to understand and apply the core principles in the job market.

In this structured series of hands-on guided projects, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to use open-source data analysis and manipulation tool. This guided project is the first of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas.

The “Introduction to The Pandas Bootcamp | Data Analysis with Pandas Python3” course is designed for anyone who wants to learn how to use Pandas, the popular data manipulation library for Python. This course covers a wide range of topics, from the basics of Pandas installation and data structures to more advanced topics such as window functions and visualization.

Data visualization is a powerful tool for understanding and communicating data. In this Skill Path, you will learn how to leverage Matplotlib and Seaborn to make effective, appealing visualizations – from choosing the right chart type for the data, to correctly scaling axes for truth and accuracy, to building an argument through visual choices. Plus, now you can build your prompt engineering skills and get hands-on experience writing, testing, and refining prompts directly in the course.

Pandas is one of the best and most popular Data Analysis libraries in Python! Throughout the course, you’ll gain in-depth knowledge of Pandas, including Data Cleaning, Data Exploration, and Data Visualization! With hands-on exercises and real-world projects, you’ll develop the skills needed to use Pandas as a Data Analyst. One of the main highlights of this course is the hands-on, guided projects which offer real world projects that you can add to your portfolio. By the end of this Pandas Course, you’ll be able to confidently add Pandas to your resume and start using it in your job!

In this course, you’ll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You’ll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you’ll learn to model many-to-many relationships like those needed to represent users, roles, and courses.

Information is all around us. You can put it to use by learning SQL basics. Used in data science, analytics, and engineering, SQL makes it easy to work with data and make more informed strategy, operations, and business decisions. It’s a helpful skill for anyone who works with data (even in non-tech roles). In this SQL course, you’ll learn how to manage large datasets and analyze real data.

You’ll learn how to read and write complex queries to a database using one of the most in demand skills – PostgreSQL. These skills are also applicable to any other major SQL database, such as MySQL, Microsoft SQL Server, Amazon Redshift, Oracle, and much more.