Data Science
Data Science is a detailed study of the flow of information from the colossal amounts of data present in an organisation’s repository. It involves obtaining meaningful insights from raw and unstructured data which is processed through analytical, programming, and business skills.
Tech stack
Python
Python is a high-level, interpreted and general-purpose dynamic programming language that focuses on code readability. Benefits of Python –
1). Ability to think clearly and write code clearly. 2). Ready-made packages. 3). Ease and Reliability. 4). Community
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Django
Django is a Python-based free and open-source web framework, which follows the model-template-view (MTV) architectural pattern.
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Numpy
NumPy (short for Numerical Python) provides an efficient interface to store and operate on dense data buffers. In some ways, NumPy arrays are like Python’s built-in list type, but NumPy arrays provide much more efficient storage and data operations as the arrays grow larger in size.
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Pandas
Pandas is the most popular python library that is used for data analysis. It provides highly optimised performance with back-end source code is purely written in C or Python.
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Power BI
Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights.
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TensorFlow
TensorFlow is a computational framework for building machine learning models. It makes it easy for beginners and experts to create machine learning models for desktop, mobile, web, and cloud.
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Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualisations, and share with a click.
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