expected growth of big data analytics market
than the the rest of the IT industry as per Randstad report
There are no prerequisites to take this Data Science with R basics program. However, knowledge of any programming language and core mathematics would be an added advantage.
Beginners can learn about data science by getting an overview of business analytics, how data-driven decisions help achieve more profits, and a broad understanding of how data is analyzed.
Professionals with a technical background and some prior knowledge of data science tend to learn progress faster in learning data science. Beginners can also achieve a similar pace by taking this data science R basics course, as it helps you learn the basics from scratch.
Data science learners can first get a basic understanding of statistics, core math concepts, data manipulation and data analysis in this program.
This data science with R basics program has been designed keeping different learner needs in mind. Learners who don’t have any clear idea about data science can still follow this program easily.
The numerical computations and algorithms in data science involve mathematics concepts like statistics, probability, and calculus at a basic level. Knowledge of databases and programming are also fundamental to learning data science with R.