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Introduction to Data Analysis in Python
course content

Course Content

Introduction to Data Analysis in Python

Introduction to Data Analysis in Python

1. Basics
What is Python?Hello, Python!CommentsChallengeMath SkillsVariablesNaming Rules and Conventions
2. Data Types
Data Types in PythonNumeric TypesWhat is a String?Multiline StringsConcatenationAccessing String ElementsWhat is a List?Updating Lists
3. Control Flow
Boolean TypeIf/else StatementsIndentationIf/elif/elseChallenge 1Challenge 2For LoopIncrementing and DecrementingWhile Loop
4. Functions and Modules
Built-in FunctionsImporting ModulesUsing ModulesChallengeDefining FunctionsChallengeLambda Functions
5. Introduction to NumPy
What is the NumPy?NumPy ArraysArrays OperationsAggregate Functions2-D ArraysAggregating in 2-D Arrays

bookData Types in Python

Built-in Data Types

There are some categories of data types in Python:

  • Text type: str;
  • Numeric Types: int, float, complex;
  • Sequence Types: list, tuple, range;
  • Mapping Type: dict;
  • Set Types: set, frozenset;
  • Boolean Type: bool;
  • Binary Types: bytes, bytearray, memoryview;
  • None Type: NoneType.

In this course, we will consider only a part of them, the most needed for analyzing and visualizing data.

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Section 2. Chapter 1
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