Data Analysis: Car Dataset

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Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.

Covers file handling, string operations, and character encodings in Python.

Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

Explores data manipulation, exploration, and visualization in data science projects using Python.

Covers the analysis of fatigue data and data extraction using Excel.