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Python Courses

Elevate your skills with our Python online courses

Summary of Topics

What is Python?

Python is a dynamic and versatile programming language, widely used by cloud developers and supporting technologies such as Google App Engine, metaprogramming structures, and features from languages like Lisp and Haskell. Python is known for its readability, simplicity, and broad applications across various fields including data science, machine learning, and web development.

Python is one of the most popular programming languages today, particularly favored for its simplicity and extensive library support. It is invaluable for tasks such as managing and analyzing complex datasets, automating workflows, and developing robust applications.

What is Python training useful for?

Python is a versatile tool for data science, with powerful libraries like Pandas, NumPy, and Scikit-Learn for data manipulation, analysis, and visualization. It’s essential for data science, machine learning, and AI applications.

Learning Python opens career opportunities in data analytics, software development, and AI. Our courses, including SQL, Machine Learning, and data visualization, provide a solid foundation, helping you build skills and earn certifications to advance your career.

Explore our Python courses

Python Fundamentals: this course covers the fundamentals of Python and how to apply it to real-world applications. The modules, lesson-end projects, and assignments comprising the curriculum cover data operations in Python, strings, conditional statements, error handling, shell scripting, web scraping and the commonly used Python web framework: Django.

Data Science with Python: Python is a general-purpose programming language that is growing in popularity. Businesses worldwide use Python to harvest insights from data to gain an edge over their competitors. Unlike any other Python course, this one focuses on Python specifically for data science. You’ll learn how to store and manipulate data as well as useful tools to start your own analysis.

How to earn a Python certification?

To gain your Python Fundamentals certificate, you must complete the course, submit a project as per course requirements, and successfully meet the project evaluation criteria.

To gain your Data Science with Python certificate, you must complete the course, at least one project, and score a minimum of 60% in one of the two simulation tests.

Details about Python courses

Objectives

By the end of Python Fundamentals course, you’ll be able to:

Understand basic Python concepts
Implement file handling and exception handling techniques
Understand operators, sets, methods, and dictionaries in-depth
Run commands by implementing conditional statements, loops, and functions
Perform shell scripting with Python Master and Python Django
Perform advanced web development in Python

By the end of the Data Science with Python course, you’ll learn and understand:

Data science processes, hypothesis building and testing
Techniques including data wrangling, exploration, and visualization
How to install the required Python environment
Essential concepts of Python programming
How to perform high-level mathematical computing using NumPy
How to perform scientific and technical computing using SciPy
Data analysis execution and manipulation using Pandas
Supervised and unsupervised learning models
How to extract useful data from websites using web scrapping
How you can integrate Python with Hadoop, Spark and MapReduce

Who it is aimed at

Python Fundamentals course is aimed to:
Software Developers, Technical leads, Architects, Data Analysts, Web Developers, Machine Learning Engineers, and programming enthusiasts looking to enhance their skills or begin a career in Python-related fields.
Data Science with Python course is aimed to:
Software professionals, IT professionals or graduates looking to start a career in analytics; analytics professionals interested in working with Python; experienced professionals looking to apply data science in their field.

Python Fundamentals: Gain an understanding of Python basics such as file and exception handling, while diving into operators, sets, methods, and dictionaries. Learn how to run commands using loops, functions, and conditional statements. Plus, take on shell scripting and discover advanced web development with Python Django to bring your projects to life.

Basic Python concepts - Learn the building blocks of Python, including syntax, variables, and data types. This foundation sets you up for success, giving you the skills to write simple programs and solve real-world problems with confidence. It’s the perfect starting point for your Python programming journey.
File handling and exception handling techniques - Master how to work with files in Python – reading, writing, and managing data seamlessly. You'll also learn exception handling techniques for tackling errors effectively, ensuring your programs run smoothly and reliably. These essential skills make your coding more efficient and professional.
Python Django - Discover the power of Python Django, a high-level web framework that makes building dynamic, robust websites faster and easier. Learn how to create web applications, manage databases, and streamline development – all with tools trusted by top developers worldwide.

Data Science with Python: Discover how Python powers data science by mastering data storage, manipulation, and visualisation techniques. Dive into data wrangling with powerful libraries, explore statistical and predictive modelling, and implement machine learning algorithms to tackle real-world challenges with confidence.

Python programming concepts - Mastering Python programming concepts provides numerous benefits. Understanding data types, tuples, lists, and dictionaries allows you to organise and process information efficiently, making it easier to manage complex data. Basic operators enable you to perform calculations and implement logic seamlessly. While functions help you write cleaner, reusable code, saving time and reducing errors. These skills are essential for solving real-world problems and advancing in fields like data science, software development, and automation.
Supervised and unsupervised learning models - Explore Python’s supervised and unsupervised learning models, including linear and logistic regression for predictions and analysis, clustering for grouping data, and dimensionality reduction for simplifying datasets. You’ll also learn about techniques like K-NN and pipeline streamline processes, helping you tackle complex data tasks with ease. These models are key to unlocking insights and driving smarter decisions.
Integrating Python with other tools - Learn how to integrate Python with powerful tools like Hadoop, Spark, and MapReduce to handle big data efficiently. This course shows you how to combine Python’s flexibility with these platforms to process, analyse, and manage massive datasets, making it easier to drive insights and solutions in data-intensive environments.

Prerequisites

There are no prerequisites for these Python courses.

Duration

1 year access to the platform