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Introduction to Python
Introduction to Python

In this course, you will develop simple command-line programs in Python.

You will:

Set up Python and develop a simple application.
Declare and perform operations on simple data types, including strings, numbers, and dates.
Declare and perform operations on data structures, including lists, ranges, tuples, dictionaries, and sets.
Write conditional statements and loops.
Define and use functions, classes, and modules.
Manage files and directories through code.
Deal with exceptions.

This course also covers the requirements to start the Certified AI Practitioner programme.

Introduction to Python

Python has been around for decades, but it's still one of the most versatile and popular programming languages out there. Whether you're relatively new to programming or have been developing software for years, Python is an excellent language to add to your skill set. In this course, you'll learn the fundamentals of programming in Python, and you'll develop applications to demonstrate your grasp of the language.

Introduction to Python

Any professional who wants to enter the Data Analytics and AI world and would like to improve Python and statistics skills.

Course structure

Python Basics

String operations
List operations
Data structures
Data types

Fundamentals of Statistics for Data Analysis

Descriptive analysis
Correlation vs. Causation
Outlier detection

Basic Programming with Python

Conditional loops
If statements
For statements
While statements

Numpy & Pandas: Data analysis with Python

Loading data
Cleaning data
Feature engineering


Matplotlib & Seaborn: Data visualisation with Python

Creating visuals using matplotlib
Visual analytics
Scatter plot, histogram, box plot

Scikit-learn: Machine Learning with Python

Building a Machine Learning model
Model hyperparameters

Want to run this in-house?

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