Statistics and Exploratory Data Analysis
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Statistics and Exploratory Data Analysis Syllabus — Unit-wise Content
The official GTU curriculum for Statistics and Exploratory Data Analysis (subject code 1719504) as prescribed for AIAD · Semester 1 divides the course into 7 units, covering 41 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 (1719504)Unit 1 Introduction to Statistical Methods
- Statistics & Managerial Decisions
- Statistical Data
- Operation Research Techniques
Unit 2 Data Collection And Analysis
- Collection and presentation of data in terms of tables
- raw data
- frequency distributions
- histogram etc
- Cumulative frequency curve
- Measures of central tendency and location
- Partition values
- Comparison of various measures of central tendencies
- Measures of dispersion
- skewness & kurtosis
- comparison of various measures of dispersion
Unit 3 Probability Distribution
- Introduction of Probability
- space & events
- properties of probability
- permutation & combinations
- conditional probability
- Bayes’ theorem
- distributions: Binomial
- Exponential and Normal distribution with their properties and application
- Random variables – discrete and continuous probability distribution functions
Unit 4 Correlation And Regression Analysis
- Curve fitting
- correlation and regression analysis
- Multiple regression
- statistical Inference & estimation applied to Industrial problems
Unit 5 Exploratory Data Analysis
- Exploratory data analysis and data visualization
- Continuous variables
- Discrete variables
- Dependency relationships
- Multivariate categorical variables
- Temporal data
- Spatial data
- Data Science Pipeline: Collect
Unit 6 Testing of Hypothesis
- standard error
- tests of significance
- Z test and chi-square test along with their applications
- Goodness of fit, testing of hypotheses and decision making
- analysis of variance (ANOVA)
Unit 7 Recent Trends in the Domain of Statistics and Exploratory Data Analysis 2 5
- BRANCH: COMPUTER ENGINEERING (ARTIFICIAL INTELLIGECNE AND DATA SCIENCE) Page 3
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