Why learn machine learning and data science in Excel?

Do data scientists and data analysts need Excel at all?

The answer is a resounding “Yes, they do!”

Few people in an organization can read a Jupyter Notebook, but literally everyone is familiar with Excel. It provides direct, visual insight that allows even a beginner to understand the most common machine learning methods, and it is naturally suited to data preparation.

Moreover, the simplicity of Excel lowers barriers to entry and allows you to undertake your own data analysis right away.

Even if you are not a computer science graduate who is able to code in Python, this course will teach you how to perform machine learning and advanced statistical analysis on your own.

You will be able to understand the intuition behind ML algorithms without having to code at all. Excel is the perfect environment to grasp the logic of different machine learning techniques in an easy-to-understand way.

So, if you don’t know how to code, but you want to learn data science, statistical analysis, and machine learning, and you aspire to become a data analyst or data scientist, this would be a great place to start.