Foundation of Data Science
Book ID: 1963
Author: Dr. Poonam Ponde, Amit Mogal
ISBN: 978-93-90646-50-0
This book on the Foundations of Data Science covers the syllabus of the Sem. V of T.Y. B.Sc. Of SPPU, according to the revised syllabus of 2021-22. It is authored by eminent educationists in the field. Written in an ease-to-follow manner, it is filled with explanatory diagrams and examples. Each chapter has a summary at the end to aid in revision, and subjective and objective questions are included to hale the student self-test their understanding.
About Authors
Dr. Poonam Ponde is a very well known senior faculty in the department of Computer Science, Nowrosjee Wadia College, Pune where she has been teaching for more than 19 years. She has an excellent academic track record. She was a Gold-Medalist in Std XII and completed B.Sc and M.Sc (Electronics) with distinction. She has been a topper in the ADCSSAA course conducted by the Board of Technical Education, Mumbai and the M.Phil. (IT) course from YCMOU. She has the rare distinction of completing the NET examination in the first attempt. She has been awarded Ph.D. in Computer Science from Savitribai Phule Pune Universtiy. Her passion for teaching and excellent communication skills have made her very popular among students. She has authored several books for B.Sc., MCM, MCA and BE courses which have got an overwhelming response from students.
Prof. Amit Karbhari Mogal is currently working as an Assistant Professor at MVP Samaj’s CMCS College, Nashik. He is M.Sc. (Computer Science), SET qualified. He has completed many certificate courses from COURSERA of esteemed universities in Big Data, Machine Learning, Al, Leadership skills and Data Science to his credit. He is currently pursuing Ph.D. in Computer Science and Application from Sandip University, Nashik. He has published many research papers in national and international journals and conferences. He has been teaching for more than 11 years. Apart from being a dynamic teacher, he had performed administrative roles as NSS Program Officer, College Examination Officer (CEO), AISHE Nodal Officer, and IQAC coordinator of the college. His core research interests are in the domains of Big Data, Data Science and Analytics, Cloud Computing, Machine Learning and Internet of Things.
Original price was: ₹290.₹232Current price is: ₹232.
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Description
Contents
1. Introduction to Data Science
1. Introduction to Data Science
1.1 The 3 Vs: Volume, Variety, Velocity
2. Why Learn Data Science?
3. Applications of Data Science
4. The Data Science Lifecycle
5. Data Scientist’s Toolbox
6. Types of Data
6.1 Structured Data
6.2 Semi-structured Data
6.3 Unstructured Data
6.4 Problems with Unstructured Data
7. Data Sources
7.1 Open Data
7.2 Social Media Data
7.3 Multimodal Data
7.4 Standard Datasets
8. Data Formats
2. Statistical Data Analysis
1. Introduction
2. Role of Statistics in Data Science
3. Descriptive Statistics
3.1 Measures of Frequency
3.2 Measures of Central Tendency
3.3 Measures of Dispersion
3.4 Descriptive Statistics Using the pandas describe() Function
4. Inferential Statistics
4.1 Hypothesis and Hypothesis Testing
4.2 Types of Hypothesis Testing
5. Measuring Data Similarity and Dissimilarity
6. Concept of Outlier
6.1 Types of Outliers
6.2 Outlier Detection Methods
i. Supervised, Semi-supervised and Unsupervised methods
ii. Statistical Methods, Proximity-Based Methods, and Clustering-Based Methods
3. Data Preprocessing
1. Introduction
1.1 Data Objects and Attribute Types
1.2 Type of Attributes
2. Data Quality: Why Preprocess the Data?
3. Data Munging/Wrangling Operations 11
4. Data Cleaning
4.1 Missing Values
4.2 Noisy Data
4.3 Formatting Issues
5. Data Transformation
6. Data Reduction
7. Data Discretization
4. Data Visualization
1. Introduction
2. Introduction to Exploratory Data Analysis
3. Introduction to Data Visualization
3.1 Visual Encoding
3.2 Data Visualization Software
4. Data Visualization Libraries
5. Basic Data Visualization Tools
5.1 Histograms
5.2 Bar Charts/Graphs
5.3 Scatter plots
5.4 Line Charts
5.5 Area Plots
5.6 Pie Charts
5.7 Donut Charts
6. Specialized Data Visualization Tools
6.1 Box Plots
6.2 Bubble Plots
6.3 Heat Map
6.4 Dendrogram
6.5 Venn diagram
6.6 Treemap Chart
6.7 3D Scatter Plots
7. Advanced Data Visualization Tools
7.1 Wordclouds
8. Visualization of Geospatial Data
8.1 Libraries Used For Geospatial Data
8.2 Tools Used For Geospatial Data
1. Choropleth Map
2. Bubble Map
3. Connection Map
9. Data Visualization Types
10. Case Study: Exploratory Data Analysis on Standard Dataset
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