Becoming an expert in data science requires many skills.
But what is most important is mastery of technical concepts. These include various factors such as programming, modeling, statistics, machine learning, and databases.
Programming is the basic concept that you need to know before delving into data science and its various opportunities. A basic level of programming language is required to complete any project or perform some related activities. Common programming languages are Python and R because they are easy to learn. This is necessary to analyze the data. Tools used for this are RapidMiner, R Studio, SAS etc.
Mathematical models help make calculations faster. This, in turn, helps you make faster predictions based on the raw data available to you. This involves identifying which algorithm will be most suitable for which problem. It also teaches how to train these models. It is a process…