We are a results-oriented organization.
We help our clients scale up their companies with efficiency through data and scientific methodology.
This is real Growth Hacking.
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A must have skill. Frankly, no manager will trust you if you don't use Excel. After this course, you will become an Excel ninja, mastering the most used data analytics tool of the world and knowing the deepest secrets of this software. We will end it by introducing you to statistical analysis and data science. (YES, on Excel!)
Data Science in Excel
Do I need to code to learn and use data science in my job? NO. In this course, you will learn the most used statistical methods for data mining, data processing and machine learning through problems and datasets that fit the Excel spreadshit. Coding is a tool required when you need to process bigger amounts of information and/or in higher speeds but it uses the very same mathematical principles and algortithms that you will learn here.
Introduction to R
After Excel, the most used tool for data analysis and data science is definitely, R. It is an open source tool that turns advanced statistical methods and matrix manipulation into simple lines of code. Master the syntax, basic libraries and more than ten kinds of problems that can be solved using R, and become the data wizard of your corporation.
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