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Anna University · Regulation 2021

CS 3352 Foundations of Data Science question papers

CS3352 Foundations of Data Science previous year question papers from Anna University (Regulation 2021), with the full syllabus. Read online or download the PDF.

Third semester · Core · L T P C: 3 0 0 3

Question papers

Syllabus

  1. Unit 1: Introduction9 hours

    Data Science: Benefits and uses · facets of data · Data Science Process: Overview · Defining research goals · Retrieving data · Data preparation · Exploratory Data analysis · build the model · presenting findings and building applications · Data Mining · Data Warehousing · Basic Statistical descriptions of Data

  2. Unit 2: Describing Data9 hours

    Types of Data · Types of Variables · Describing Data with Tables and Graphs · Describing Data with Averages · Describing Variability · Normal Distributions and Standard (z) Scores

  3. Unit 3: Describing Relationships9 hours

    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

  4. Unit 4: Python Libraries for Data Wrangling9 hours

    Basics of Numpy arrays · aggregations · computations on arrays · comparisons · masks · boolean logic · fancy indexing · structured arrays · Data manipulation with Pandas · data indexing and selection · operating on data · missing data · Hierarchical indexing · combining datasets · aggregation and grouping · pivot tables

  5. Unit 5: Data Visualization9 hours

    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