Data Analysis using R Programming is a thorough course that gives students a clear understanding of the most recent and sophisticated features that are offered in a variety of formats. It provides a detailed explanation of how to use R programming to carry out various data analysis tasks. There are several resources in the course that provide step-by-step instructions on how to use a specific feature.
The foundation of data analytics is the process of turning massive amounts of unstructured raw data gathered from many sources into a data product usable for enterprises.
Over the past ten years, the amount of data that one must manage has increased to unfathomable levels while the cost of data storage has steadily decreased. Terabytes of information regarding user interactions, business transactions, social media activity, and sensor data from autos and mobile phones are collected by private companies and academic organizations. Making sense of this deluge of data is the problem of our time.
Data analytics primarily entails gathering data from various sources, processing it so that analysts can use it, and then producing products that are beneficial to the organization's operations.
We will cover the most cutting-edge theories and practices of data analytics in this online course.
Data Analyst
Developers curious about Data Analytics
Those who are practicing Machine Learning, and Data Science
Learn fundamentals of data analysis
Understand the basics of R programming
Learn how to use R programming for data analysis
Develop robust data analysis skills
See how real-world data sets work
Basic knowledge of statistics
Basic programming knowledge is a plus
Use your certification to make a career change or to advance in your current career. Salaries are among the highest in the world.
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