DATA SCIENCE VS ANALYTICS VS MINING

Data Science, Mining and Analytics are currently the most in-demand domains in the industry. A combination of real-world experience and precise skill sets can be advantageous in pursuing a career in these three trending domains.

What is data science?

It is about big data, which also includes data cleaning, data analysis and data preparation. The data is collected from multiple sources by a data scientist who applies sentiment analysis, machine learning, and predictive analytics so that critical insights are extracted from the collected data sets. They try to understand you from a business mindset and provide accurate information and predictions that are used to drive important business decisions.

What are the skills required to be a data scientist?

To build a career in this field, one must have efficient skills in these three departments: programming, domain knowledge, and analysis. In programming you need to have a strong knowledge of Python, R, Scala, Julia and Java. Must be able to understand various analytical problems. In SQL, you must have hands-on experience. And a brief knowledge in Machine Learning.

What is data analysis?

The process of studying sets to conclude what information they possess with the help of specialized software and systems. These techniques and technologies are widely used in business industries, enabling all organizations to make more informed business decisions. A data analyst can visualize and do some descriptive statistics. They should have a basic understanding of statistics, a good understanding of databases, the ability to create new views, and the appreciation to see data. Data analysis is considered as the primary level.

What are the skills required to be a data analyst?

A data analyst must have the ability to take a certain topic or question and describe what the data looks like and display that data to a company’s stakeholders. These four skills are essential if you want to become a data analyst:

• Fluent understanding of Python and R

• data dispute

• Comprehension in PIG/HIVE

• Brief knowledge in Mathematical Statistics

What is data mining?

The process of collecting previously unknown and indecipherable information from large databases and using this information to make business decisions. The basic objective of data mining is the extraction of information from various data sets and its transformation into an understandable structure suitable for future use. It can also be termed as the convergence of other fields like machine learning, pattern recognition, statistical studies, data visualization, etc. This process is used by machine learning experts and data scientists to translate data sets into something useful.

What are the skills required to be a data mining specialist?

To be a mining specialist, you need to have a unique combination of business, interpersonal and technological skills. To be a mining master, you must master the following areas:

• Good experience in operating system, mainly LINUX

• You must be familiar with some of these data analysis tools like SAS, Hadoop, SQL and NoSQL

• Experience with Python, Peri and Java.