Python

Explore in-depth topics and key concepts in Data Analytics — e.g., Understanding Strings, Lists, and Tuples, Strings and Lists, Dictionaries and Working with Pandas DataFrames.

Topics Covered

Understanding Strings, Lists, and Tuples

Key Concepts: Introduction to Strings in Python, String Manipulation and Methods, Introduction to Lists and Their Properties, List Operations and Methods, Understanding Tuples and Their Uses

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Strings and Lists

Key Concepts: string manipulation, list operations, indexing and slicing

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Dictionaries and Working with Pandas DataFrames

Key Concepts: Introduction to Dictionaries in Python, Dictionary Operations and Methods, Introduction to Pandas and DataFrames, Loading and Exploring Data with Pandas Basic , Data Manipulation with Pandas

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Introduction to Machine Learning Models (Regression & Decision Trees)

Key Concepts: Introduction to Linear Regression, Implementing Linear Regression in Python, Understanding Logistic Regression, Implementing Logistic Regression in Python, Introduction to Decision Trees and Their Use Cases

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