Data Science is an interdisciplinary field that involves the use of mathematical, statistical, and computational methods to extract insights and knowledge from structured and unstructured data.It has a broad scope and can be divided into several streams. One of the streams is Data Mining, which involves identifying hidden patterns and relationships in large datasets. This helps in finding previously unknown information, which can be used for making better decisions.

Another stream is Predictive Modeling, which is about building models to predict outcomes based on historical data. This is widely used in various industries such as finance and healthcare to make predictions about future trends and events.

Data Visualization is another important stream of data science that involves creating graphical representations of data to facilitate understanding and communication. This helps in making data more accessible and understandable for non-technical audiences.

Business Intelligence is another stream of data science that deals with using data to support decision making in an organization. This helps in identifying trends, patterns and insights that can be used to make better decisions.

These are some of the broad areas of data science, the list is not exhaustive and there is a lot of overlap between the different streams.

The demand for data scientists with the necessary Data Science skills has risen significantly due to the growing need for data-driven solutions in business organizations. With this Data Science training, you will become proficient in Data Science, R programming language, Data Analysis, Big Data, and more. Obtaining this certification will boost your career in this constantly evolving field and bring it to new heights. According to Harvard Business Review, the role of a Data Scientist is the best job of the 21st century. IBM predicts that the number of jobs for all data professionals in the United States will increase to 2.7 million, and Frost & Sullivan reports that the global Big Data market reached $122 billion in sales within six years.

In the United States, the average salary of a Data Scientist is US$112,957. The average salary of Data Scientists in India is ₹853,191.

1. Understand the Problem: Data Scientists should be aware of the business pain points and ask the right questions.
2. Collect Data: They need to collect enough data to understand the problem at hand, and better solve it in terms of time, money, and resources.
3. Process the Raw Data: We rarely use data in its original form, and it must be processed, and there are several ways to convert it into a usable format.
4. Explore the Data: After processing data and converting it into a usable form, Data Scientists must examine it to determine the characteristics and find evident trends, correlations, and more.
5. Analyze the Data: To understand the data, they use various tool libraries, such as Machine Learning, statistics and probability, linear and logistic regression, time series analysis, and more.
6. Communicate Results: At last, results must be communicated to the right stakeholders, laying the groundwork for all identified issues.