Unit 1 Fundamentals of Data Science

6 lecture hours

• Introduction to data science
• Data analytics life cycle
• Type of data analysis
• Types of jobs in data analytics
• Data science tools
• Fundamental areas of study in data science
• Role of SQL in data science
• Pros and cons of data science

Unit 2 Data Preprocessing, Plotting and Visualization

8 lecture hours

• Data types and forms
• Possible data error types
• Various data preprocessing operations
• Introduction to data visualization
• Visual encoding
• Data visualization libraries
• Basic data visualization tools

Unit 3 Statistical Data Analysis and Machine Learning

14 lecture hours

• Role of statistics in data science
• Descriptive statistics
• Inferential statistics
• Overview of machine learning
• Supervised machine learning
• Regression methods
• Classification methods
• Unsupervised machine learning
• Clustering methods
• Association analysis

Unit 4 Time-series Analysis

• Overview of time-series analysis
• Components of time-series
• Time-series forecasting models 8 20%

Unit 5 Recent Trends in the Domain of Data Science 6 15% Textbook

• Dat Data Science Science Fundamentals and Practical Approaches by Gypsi Nandi and Rupam Kumar Sharma First Edition
• BPB Publications India