Data Science is a multi-disciplinary field of science which combines the knowledge of many fields to achieve the goal of analyzing and learning from huge data set.

In this section we are covering Data Science in great detail and provide you detailed information on use of Data Science in various fields. Data Science is not a single technology or knowledge but it combine knowledge/experience from various fields including Mathematics, Statistics, Computer Science, Biology, Linguistics, Big Data, Software Development; and many more. Learning and mastering Data Science is big challenge as it requires one to learn many different technologies.

The field of Data Science is very vast and it comprises various fields of science which are dealing with scientific methods, processes, mathematical algorithms, IT technologies, Medical science, Data storage and Data processing. Data science is vast topic then data mining. The data mining is only dealing with data collection, processing and analyzing. But the field of data science includes data mining, machine learning, deep learning and artificial intelligence. For data science we have to use various technologies and other branch of science to achieve the project goals.

Data science is a concept for unifying statistics, data analysis, machine learning, deep learning, artificial intelligence and related methods to understand the data. Data science is multi-disciplinary field which employs the knowledge of various fields to collect, store, analyze and learn from data.

Data science field requires the knowledge/experience of Math & Statistics, Substantive expertise, Hacking Skills, Data Engineering, Scientific Methods, Math, Statistics, Advanced Computing, Visualization and Domain expertise. So, there are lots of skills to learn to become expert in data science.

Data science is the intersection of three fields namely Math & Statistics, computer science, and subject matter expertise. If see the matter expertise topic only then there is so many fields like business, biology, robotics, astronomy, sociology, journalism, agriculture, web analytics, security, defense, education and so on. In simple term a data scientist is a person who can answer the business questions in terms of math & statistics. Them implement this mathematical problem using programming/computer science and visualize the result in dash board. A data scientist should be able to communicate the Mathematical + programming solution to business users in the form of dashboard, reports and adhoc query. So, deep knowledge in all these technologies is a must to become export in Data science.

- What is Data Science?
- A Brief History of Data Science
- What is data science lifecycle?
- Why we need data science?
- Real Life Uses of Data Science
- What skills you need to become a data scientist?
- Data Science for beginners - a complete beginner's guide to learn Data Science
- What is the role of a chief data scientist?
- What are the skills required to be a Data Scientist?
- What is predictive analytics?
- Predictive Analytics/Predictive Modeling types
- Top 10 Data Science Programming Languages for 2019
- What is data science lifecycle?
- How to learn data science by own?

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