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Provides an approach for the study of concepts related to gathering insights from data which would enable in data driven decision making
DATA ANALYTICS
89259 06892
Duration | 10 days (10*6 hrs/day (60 hrs)
ELIGIBILITY:
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Final Year students/ Pre-Final Year Students of B.E
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Graduate Engineers (Who have graduated within one year and looking to upskill)
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Science Graduates with Mathematics/Statistics background
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Programming knowledge in python & R is required
HIGHLIGHTS
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The training is offered with a number of case studies illustrating the various techniques used in Data Analytics.
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Hands on exercises of the techniques on standard tools like R and Python are included as a part of the course.
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Course will be delivered through Online mode.
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Lecture sessions would have a duration of 90 minutes with a maximum of two lectures per day.
CONTENTS
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Basics of {Python /R Programming for the course)
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Installation of Software (Python /R and other tools
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Introduction to Data Analytics
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Data Types, Variables, Measurement
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Data Analytics-Descriptive, Predictive, Diagnostics, Prescriptive
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Introduction to Data Analytics
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Data Types, Variables, Measurement
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Data Analytics-Descriptive, Predictive, Diagnostics, Prescriptive
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Probability and Statistics for Data Analytics
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Probability concepts
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Inferential Statistics concepts
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Hypothesis Testing with Practical scenarios
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Predictive Analytics
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Linear Regression
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Classification-Logistic Regression
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Quiz other interactions
OUTCOMES
By The End Of Course The Learner Will:
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Will be able to analyse data using standard tools, identify missing elements, Data wrangling and transformation
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Will be able to prepare plots, charts for Data Visualization using standard libraries in R and Python
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Will able to apply statistical techniques for analysis to aid decision making
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Exposed to basic concepts in Predictive Analytics
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Has gained experience in the use of R /Python and other tools