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Data science

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Data science & data scientist
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Data science

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A Data scientist performs research and analyses data and help companies flourish by predicting growth, trends and business insights based on a large amount of data. Basically, data scientists are big data wranglers. They take this huge data and use their skills in mathematics, statistics and programming to clean and organise the data.

A Data scientist performs research and analyses data and help companies flourish by predicting growth, trends and business insights based on a large amount of data. Basically, data scientists are big data wranglers. They take this huge data and use their skills in mathematics, statistics and programming to clean and organise the data.

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Data science

  1. 1. As the world entered the era of big data, the need for its storage also grew. It was the main challenge and concern for the enterprise industries until 2010. The main focus was on building framework and solutions to store data. Now when Hadoop and other frameworks have successfully solved the problem of storage, the focus has shifted to the processing of this data. Data Science is the secret sauce here. All the ideas which you see in Hollywood sci-fi movies can actually turn into reality by Data Science. Data Science is the future of Artificial Intelligence. Therefore, it is very important to understand what is Data Science and how can it add value to your business What is Data Science?
  2. 2. What is Data Science?  Use of the term Data Science is increasingly common, but what does it exactly mean? What skills do you need to become Data Scientist? What is the difference between BI and Data Science? How are decisions and predictions made in Data Science? These are some of the questions that will be answered further.  First, let’s see what is Data Science. Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. How is this different from what statisticians have been doing for years?
  3. 3. Why we need Data Science?  So instead of testing chemicals and reactions, data scientists are studying dataand it's uncharted territory. Data science is important because knowledge is important. Being able to come up with a new way to process data is just as revolutionary and profitable as finding a new polymer.
  4. 4. Why is Data Science is important?  These include healthcare, energy and education. Because these fields are constantly evolving, the importance of data science is also rapidly increasing. In the field of healthcare, new drugs are being constantly discovered one hand and there is a need to create better care for patients on the other hand.
  5. 5. Lifecycle of Data Science Here is a brief overview of the main phases of the Data Science Lifecycle:

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