Foundations of Data Science detailed syllabus for Information Technology (IT) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the IT students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Information Technology 3rd Sem scheme and its subjects, do visit IT 3rd Sem 2021 regulation scheme. The detailed syllabus of foundations of data science is as follows.
Course Objectives:
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Unit I
INTRODUCTION 9 Data Science: Benefits and uses – facets of data – Data Science Process: Overview – Defining research goals – Retrieving data – Data preparation – Exploratory Data analysis – build the modelpresenting findings and building applications – Data Mining – Data Warehousing – Basic Statistical descriptions of Data
Unit II
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Unit III
DESCRIBING RELATIONSHIPS 9 Correlation -Scatter plots -correlation coefficient for quantitative data -computational formula for correlation coefficient – Regression -regression line -least squares regression line – Standard error of estimate – interpretation of r2 -multiple regression equations -regression towards the mean
Unit IV
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Unit V
DATA VISUALIZATION 9 Importing Matplotlib – Line plots – Scatter plots – visualizing errors – density and contour plots -Histograms – legends – colors – subplots – text and annotation – customization – three dimensional plotting – Geographic Data with Basemap – Visualization with Seaborn.
Course Outcomes:
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Reference Books:
- Allen B. Downey, Think Stats: Exploratory Data Analysis in Python, Green Tea Press,2014.
For detailed syllabus of all other subjects of Information Technology, 2021 regulation curriculum do visit IT 3rd Sem subject syllabuses for 2021 regulation.
For all Information Technology results, visit Anna University IT all semester results direct link.