Data Analysis and simulations
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Follow on Instagram for UpdatesData Analysis and simulations Syllabus — Unit-wise Content
The official GTU curriculum for Data Analysis and simulations (subject code 3170413) as prescribed for Biotech · Semester 7 divides the course into 2 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 (3170413)Unit 1 Concept of Data Science, Traits of Big data, Web Scraping, Analysis vs Reporting Data preprocessing and visualization
- 2.1 Toolkits using Python: Matplotlib
- NLTK 2.2 Visualizing Data: Bar Charts
- Line Charts
- Scatter Plot
- group plots
- box plots. 2.3 Working with data: Reading Files
- Scraping the Web, Using APIs (Example: Using the Twitter APIs)
- Cleaning and Munging
- Manipulating Data
- Dimensionality Reduction Types of data
- dealing with missing data
- data visualization: etc.
- dimensionality reduction
Unit 2 Mathematical Foundations 2.1 Linear Algebra
- Probability: Dependence and Independence
- Conditional Probability
- Bayes’s Theorem
- Random Variables
- Continuous Distributions
- The Normal Distribution
- The Central Limit Theorem. 2.3 Hypothesis and Inference: Statistical Hypothesis Testing
- Confidence Intervals
- Bayesian Inference Mining Frequent Patterns: Associations and Correlations
- Classification. 8 Subject Code: 3170413 w.e.f
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