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Hands-On Data Science Study
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Module 1
Project Foundation and Data Acquisition
1
From Business Question to Data Science Problem
Translate a real-world business question into a concrete data science problem statement.
2
Loading and Inspecting CSV Data in Pandas
Load datasets from CSV files into a pandas DataFrame and perform initial inspection.
3
Data Subsetting: Select, Filter, and Sort
Select, filter, and sort data to create relevant subsets for analysis.
4
Missing Data: Deletion & Imputation
Handle missing values using common deletion and imputation strategies.
5
Data Integration for Unified Analysis
Merge multiple datasets to create a unified view for analysis.
6
Summarizing Data with Aggregation
Group and aggregate data to compute initial summary statistics.
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Exploratory Data Analysis for Business Insights