Install anaconda

Customise your terminal (optional)

Basics of Jupyter Notebook

Basic of Markdown

The print() method

Declare, assign, and reassign values using Python variables

Basic data types in Python: integers, float, boolean, string

Perform computations and create logical statements

Write control flow using if, else, elif statements and boolean expressions

Lists

Use for and while loops to iterate and manipulate lists

Use break and continue to skip iterations in loops

List comprehension

Define custom functions

Function parameters, arguments, keyword arguments

Create and reference variables using the appropriate scope

Write your first docstring to add documentation to the function

Anonymous functions using lambda expressions

Create, rearrange, reassign, disassemble, and reassemble block of texts

Understand Python dictionary structure and how to use key-value pair

Create, access, modify and sort multidimensional numpy arrays (ndarrays)

Use slice indexing and boolean indexing to access and change subsets of an ndarray

Element-wise operations on ndarrays

Broadcasting

Core objects in pandas: Series and DataFrame

Create, access, and modify core pandas objects

Index, select, and assign

Summary functions and maps

Grouping and sorting

Deal with np.NaN values

Combine 2 or more DataFrames

Use seaborn and matplotlib

Line charts

Bar charts and heatmaps

Scatterplots

Distributions

ML project life-cycle

Basic data exploration

Feature engineering

Feature selection

Build your first ML model

Tune your model