Data Science is the science of mining and analyzing available data at a granular level using various known algorithms and techniques. It helps to uncover hidden findings to derive business productive insights. The knowledge and valuable insights extracted by studying the complex behavior and patterns of the available data, helps organizations to predict future trends & risks. This also helps in making better business decisions and strategies to reduce risks.
The study of Data Science includes Artificial Intelligence, Machine Learning and Deep Learning and also tools such as Excel file, tableau, Power BI etc. Machine learning is a subset of Artificial Intelligence. Machines have the capability of learning on their own based on observations and experiences when huge data is fed to interpret. Machine Learning uses Deep learning in combination with statistical tools and models to train machines to build a self-learning capability.
When we talk of languages Python is widely used in Data Science due to its great functionality to deal with mathematics, statistics and scientific functions. It also has a great set of libraries to deal with Data Science applications.
Why should you enroll for this course?
- Datascience Engineers are one of the highly paid Engineers in the Industry.
- To build a successful career in Data Science, the Data Scientist needs the knowledge of a programming language and Python fits to be the best option due to its simplicity and easy to learn and use characteristics.
- Data Science aspirants from non-technical backgrounds who opt for a career in Data Science find Python as a convenient and easy to grasp computer programming language.
- The extensive open sources and in-built libraries that Python provides, makes Python a widely selected option in Data Science practice.
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