Data Science is interdisciplinary in the sense that it employs scientific, mathematical, and statistical methods, algorithms, and systems as a means to gather data from various reliable sources to extract and derive insights for all kinds of decision-making. Organizations can decide on what kind of actions will bring about an improvement in specific requirements and operations within the business.
Data Science is closely associated with Big Data, Machine Learning, and Artificial Intelligence, which when used jointly can result in extensive applications in various sectors like logistics, healthcare, fraud detection, predicting various parameters, etc. Intellipaat is offering a Data Science Online Course. You can Enroll in this and start learning from anywhere.
Responsibilities of a Data Scientist:
1. Ask appropriate questions to begin the discovery process
2. Collect the right data to solve the problem at hand
3. Clean, process, integrate, and store the available data
4. Data analysis
5. Work with potential models and algorithms
6. Apply statistical modeling, machine learning, and AI
7. Introduce optimization according to derived insights
There are different roles that a Data Science professional can have in an organization:
Data Scientists: Create algorithms and predictive models and perform data analysis
Data Analysts: Data manipulation and identification of patterns and trends in the data
Data Engineers: Clean, integrate, organize, and transfer data it to data warehouses
BI Specialists: Discover trends and patterns in data sets
Data Architects: Design, build, and manage the data architecture
Data Science is a highly desirable career path and here is how you can get started:
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