About this course
Introduction:
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured and unstructured data, and apply knowledge from data across a broad range of application domains.
Objectives:
The key objective of Data Science is to extract valuable information for use in strategic decision-making, product development, trend analysis, and forecasting. The goal of data science is to construct the means for extracting business-focused insights from data. This requires an understanding of how value and information flow in a business, and the ability to use that understanding to identify business opportunities.
Course Outlines:
§ Introduction
§ Newer Kind of Data
§ Data Strategy
§ Components
§ Analytics Tools
§ Interpretation & Action/Decision
§ R Code Demo
§ Course Format
§ Session Format
§ R Language
Who should attend?
§ Students
§ IT Professionals
Learning Outcomes:
Students with a major in Data Science. Students will develop relevant programming abilities. Students will demonstrate proficiency with statistical analysis of data. Students will develop the ability to build and assess data-based models.
Learn methods for mastering and applying emerging concepts and technologies for continuous data-driven improvements to your business processes
Transform complex analytics into routine processes effortlessly, allowing you to add colour and clip art. Writing in various fonts and sizes and using tables, borders & bullet formatting reduces tediousness and increases productivity.
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