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