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Syllabus Overview

Python for Data Science — Course Syllabus

Master Python programming from fundamentals to data science, NumPy, Pandas, visualisation, and machine learning.

Course Syllabus (19 Chapters)

1

Python for Data Science — Chapter 1: Your First Program

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2

Python for Data Science — Chapter 2: Types

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3

Python for Data Science — Chapter 3: Expressions and Variables

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4

Python for Data Science — Chapter 4: String Operations

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5

Python for Data Science — Chapter 5: Lists and Tuples

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6

Python for Data Science — Chapter 6: Sets

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7

Python for Data Science — Chapter 7: Dictionaries

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8

Python for Data Science — Chapter 8: Conditions and Branching

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9

Python for Data Science — Chapter 9: Loops

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10

Python for Data Science — Chapter 10: Functions

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11

Python for Data Science — Chapter 11: Objects and Classes

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12

Python for Data Science — Chapter 12: Reading Files with Open

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13

Python for Data Science — Chapter 13: Writing Files with Open

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14

Python for Data Science — Chapter 14: Loading Data with Pandas

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15

Python for Data Science — Chapter 15: Working with and Saving Data with Pandas

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16

Python for Data Science — Chapter 16: Numpy 1D Arrays

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17

Python for Data Science — Chapter 17: Numpy 2D Arrays

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18

Python for Data Science — Chapter 18: Simple APIs

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19

Python for Data Science — Chapter 19: API Setup and Practice

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