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Data Science: Implementing data-driven decisions to make everyday better
Data Science has made its way into our everyday lives and has immense benefits in business and research. For example, the path you take to work, your latest Google search for the nearest restaurant, your Instagram post about the place you visited or what you had for lunch, and even the data from your fitness tracker are all critical to different data scientists in different ways. This article discusses the scope, and reach of data science in today`s world.
What is Data Science?
The word “Data Science” was conceived in the early 1960s to describe a new profession that would support the perception and interpretation of the large amounts of data being collected. Data science continues to progress as a discipline using computer science and statistical methodology to make valuable projections and gain insights into various fields. Data Science is used in multiple areas such as astronomy, medicine, and business to help make informed decisions. In simple words, Data Science is committed to the collection of clean information from raw data for the preparation of actionable insights
Data Science has made its way into our everyday lives and has immense benefits in business and research. For example, the path you take to work, your latest Google search for the nearest restaurant, your Instagram post about the place you visited or what you had for lunch, and even the data from your fitness tracker are all critical to different data scientists in different ways.
Who are Data Scientists?
The Data scientists are skilled in data engineering, math, statistics, advanced computing, and visualizations, so they can effectively scrutinize cluttered masses of information and share only the most essential bits that will help drive innovation and efficiency.
Data life cycle:
Applications of Data Science:
1. Healthcare
2. Internet Search
3. Website Recommendations
4. Targeted Advertising
5. Advanced Image Recognition
6. Finance
7. Airline Route Planning
8. Gaming
9. Fraud and Risk Detection
10. Delivery Logistics
11. Autocomplete
Data Science courses:
A data scientist must have an undergraduate or a postgraduate degree in a relevant discipline (Business information systems, Computer science, Economics, Information Management, Mathematics, and Statistics).
Available Courses:
Globally, Institutes offer various offline and offline courses (national and international) to empower students to solve modern days problems. Some of the International Data Science Courses are given below:
- IBM Data Science Professional Certificate (IBM)
- Professional Certificate in Data Science (Harvard University)
- Applied Data Science with Python Specialization (University of Michigan)
- Data Science Specialization (Johns Hopkins)
Data Science Online courses:
- An Introduction to Data Science
- Essentials of Data Science
- What is Data Science?
- IBM Data Science Professional Certificate
- Data Science for Everyone
Data science is one of the most crucial assets for organizations in the modern world. Data has become a significant entity that helps in driving an organization forward. From finance to healthcare to pharmaceuticals, corporations are increasingly recognizing the significance of implementing data-driven decisions. To develop multiple approaches to harness data, the scope of data science and relevant opportunities are rapidly getting popular globally.
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