Data Science
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Follow on Instagram for UpdatesData Science Syllabus — Unit-wise Content
The official GTU curriculum for Data Science (subject code ME01000641) as prescribed for CE · Semester 1 divides the course into 6 units, covering 23 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME01000641)Unit 1 An Introduction to coreconcepts & technologies
- data science process
- data science toolkit
- Types of data
- Example applications
Unit 2 Data collection and management
- Sources of data
- Data collection and APIs
- Exploring and fixing data
- Data storage and management
- Using multiple data sources
Unit 3 Data analysis
- Terminology and concepts
- Introduction to statistics
- Central tendencies and distributions
- Distribution properties and arithmetic
- Basic machine learning algorithms
- Linear regression, SVM, Naïve Bayes
Unit 4 Data visualisation
- Types of data visualisation
- Data for visualisation: Data types
- Data encodings
- Retina variables
- Mapping variables to encodings
- Visual encodings
Unit 6 Recent trends in various data collection and analysis techniques,
- various visualization techniques
- application development methods used in data science
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