DIU-BLC
CSE315 (Fall 2024)
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Course data
Welcome to Introduction to Data Science
OBE Course Outline
Announcements
Week 1: Introduction to Data Science
Lecture Slide [Week-1 Lecture-1]
Lecture Slide [Week-1 Lecture-2]
Week-1 Discussion
Week 2: Learn About Data
Lecture Slide [Week-2 Lesson-1]
Lecture Slide [Week-2 Lesson-2]
Week-2 Lesson-1 [Programming]
Week-2 Discussion
Week 3: Statistics, Sampling and Outlier analysis
Week-3 Lesson-1
Week-3 Lesson-2
Week-3 Discussion
Z-Test and T-Test
Week 4: Covariance and Correlation
Week-4 Lesson-1
Week-4 Lesson-2
Week-4 Discussion
Week 5: Bayes Theorem
Lecture Slide of Week 5
Week-5 Discussion
Week 6: Probability Distribution
Lecture Slide of Week 6
Probability Distribution-1
Probability Distribution-2
Week 7: Hypothesis Testing
Hypothesis Testing [Slide]
Hypothesis Testing [MCQ]
Hypothesis Slide
Week-11 Discussion
Week 8: OUtliers Detection
OUtliers Detection
Week-12 Discussion
Week 9: Feature Engineering
Feature Engineering
Week-13 Discussion
Feature Engineering [Feedback]
Week 14: Multiple Linear Regression
Multiple Linear Regression [Slide]
Week-14 Discussion
Week 15: Dimensionality reduction
Lecture Slide of Week 15
Week-15 Discussion
Presentation and Assignment
Feature Engineering
Feature Engineering Slide
Regression Analysis
Regression Analysis [Slide]
Week 14: Final Examination
Next
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CSE315ZHFall24
Summary
CSE315 (Fall 2024)
Skill Level
:
Beginner