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Week - 1 |
Introduction to Data Analysis and Basic Concepts and Statistical Foundations: Measures of Central Tendency and Dispersion |
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Week - 2 |
Probability and Probability Distributions |
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Week - 3 |
Data Collection Methods and Dataset Cleaning |
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Week - 4 |
Data Visualization: Charts, Tables, and Graphs |
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Week - 5 |
Descriptive and Summary Statistics |
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Week - 6 |
Inferential Statistics: Confidence Intervals and Hypothesis Testing |
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Week - 7 |
Regression Analysis: Simple and Multiple Regression Models |
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Week - 8 |
Time Series Analysis and Trend Examination |
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Week - 9 |
Fundamentals of Data Mining: Classification and Clustering |
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Week - 10 |
Machine Learning: Supervised and Unsupervised Learning |
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Week - 11 |
Big Data and Data Analysis Applications |
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Week - 12 |
Ethical and Legal Issues: Data Privacy and Security |
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Week - 13 |
Data Analysis Applications: Real-World Datasets with Industrial and Academic Examples |
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Week - 14 |
Assessment and Application of Data Analysis Skills |
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