December 7, 2023
Day 05 –  PowerBi project – Population dataset

Day 05 – PowerBi project – Population dataset

Day 05 –  PowerBi project – Population dataset

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Day 05 –  PowerBi project – Population dataset

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*21 DAYS AGENDA FOR THE DATA SCIENCE*:
Day 1: Introduction, Data collection
Day 2: Pandas Library
Day 3: NumPy and data concepts
Day 4: Matplotlib, Plotly
Day 5: PowerBi project – Population dataset
Day 6: Data analysis project on Netflix data
Day 7: Statistics 1 – Sampling, Randomization, Frequency histogram and
distribution, time series, bar and pie graphs
Day 8: Statistics 2 – Frequency table and stem and leaf, central tendency,
variation measure, percentile and box – whisker plot, scatter diagram
Day 9: Statistics 3 – Linear correlation, normal distribution, empirical rule,
z-score and probabilities, central limit theorem
Day 10: SQL for Data Science
Day 11: Machine learning for data science – pathway – preprocessing (scaling,
encoding, null handling)
Day 12: ML – outlier detection & handling, feature selection, feature extraction
Day 13: ML – train_test_split, hyperparameter optimization, Sklearn pipeline
Day 14: ML – performance comparison, A/B testing
Day 15: ML – Classification project – Customer churn prediction
Day 16: ML – Regression project – Supply Chain Optimization for a FMCG
Company
Day 17: ML – clustering algorithms and project – Retail Customer Purchase
Behavior clustering
Day 18: Ds project – Amazon Recommendation system
Day 19: Ds project – Detecting Malicious URLs project.
Day 20: Ds project – Amazon product review
Day 21: Ds project – Time series analysis on stock data

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