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Do the words Machine Learning or Data Scientist ring a bell? Are you curious about what these techniques are for or why companies around the world pay a salary of $120.000 to $200.000 per year to a data scientist?
Well, this course is conceived and designed by a professional from the world of Data Science, such as Juan Gabriel Gomila, so that he is going to share all his knowledge with you and help you understand the complex theory of mathematics behind it, the algorithms and Programming libraries with R Studio to become experts even if you have no previous experience.
We will see step by step how to start working with concepts and algorithms from the world of Machine Learning. With each new class and section you complete, you will have new skills that will help you understand this complete and lucrative world that this branch of Data Science can be.
Also tell you that this course is very fun, along the lines of Juan Gabriel Gomila and that you will learn and have fun while learning about Machine Learning techniques with R Studio.
Data analysis and machine learning with R has emerged as a very important approach for companies of all kinds, from the world of finance to video games to online stores or even sports. R enables even those with an intuitive understanding of the underlying concepts, without a deep mathematical background, to unleash powerful and detailed analyzes of their data.
This course will show you how you can put your data analysis skills in R to practical use, with recipes that cater to basic and advanced data analysis tasks.
From the acquisition of the data and its preparation before analysis to the most complex data analysis techniques, we will try to carry out the implementations of each technique in the best possible way.
We will also visualize the data using the most popular R packages like ggplot2 and find hidden information in them.
Starting with implementing the basics of the data analytics world, like handling your data to create basic charts, we'll eventually master more advanced data analytics techniques, like performing cluster analysis or generating effective analytics reports and visualizations.
We will also work with time series, regression and data estimation, a recommendation system or the analysis of financial markets or social networks, among others, so you have many fields to apply everything you learn here in the course!
Throughout the course, we will learn about the common problems and obstacles that are often encountered when implementing each of the data analysis techniques in R, as well as different ways to overcome them in the easiest way possible.
By the end of this course, you'll have all the knowledge you need to become an expert in data analysis with R, and put your skills to the test in real-world scenarios.
Who is this course for?
Anyone who wants to get started in the world of statistics and data analysis
Anyone interested in learning Machine Learning
Anyone who wants to learn R and RStudio
Anyone with basic notions of R and statistics looking to learn about the advanced techniques used by large companies
Students who have a background in mathematics who want to learn about Machine Learning with R
Intermediate users who know the fundamentals of machine learning such as classical linear or logistic regression algorithms but are looking to learn more and explore other fields of statistical learning
Programmers who like to code and who are interested in learning Machine Learning to apply these techniques to their datasets
University students who seek to specialize and learn to be Data Scientists
Data analysts who want to go further thanks to Machine Learning with RStudio
Anyone who is not satisfied with their own job and is looking to start working as a professional Data Scientist
Anyone who wants to add value to their own company using the powerful tools of Machine Learning
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