Transform Data with R: From Beginner to Expert

Data science is an essential field that offers powerful analytical tools to organizations. Those who have swiftly incorporated these practices have gained competitive advantages and made better decisions based on the information they gather. In today’s data-driven society, mastering data analysis is a necessity for any organization. This course provides an introduction to the R programming language for data analysis with a practical focus right from the start. The examples and activities are easily relatable to the regular tasks a data analyst performs, such as manipulating data and presenting graphs or summaries.

By the end of this course, you will be able to apply the tools provided in your organization or on a personal level, making you well-prepared for more advanced courses in R. You will learn how to set up a working environment for R with R Studio, classify and manipulate data from a data science viewpoint, and create versatile and simple graphs. If you are involved in decision-making at your company or wish to explore the field of data science and computational technologies, this course is for you.

Multivariate analysis is particularly important as it considers different variables that an entity may be subject to simultaneously, allowing us to analyze both numerical and categorical data. This includes data representing physical or chemical properties as well as indicators of a situation or status. Join us in this comprehensive course to enhance your data analysis skills!

What you will learn:

• Utilizing vectors, matrices, and data frames.
• Using control flow structures (for, if else, while, and more).
• Creating functions.
• Handling files (reading, exporting, and more).
• Creating and customizing graphs.
• Introduction to exploratory analysis.
• Data frames and data cleaning.
• Advanced graphics.
• Multiple linear regression.
• Time series analysis.

Course Content:

• Sections: 16
• Lectures: 83
• Duration: 8h 2m

Requirements:

• No previous experience with the R language is required.

Who is it for?

• Students looking to learn statistical software.
• Professionals engaged in data analysis.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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