88 Courses in Birmingham delivered Online

The Python Mini Bundle offers a clean, structured pathway into essential programming languages and web design basics. Whether you're wrestling with loops or wondering what exactly Go Lang does with its semicolons, this bundle provides clarity across popular technologies—without sounding like a lecture from a sleep-deprived engineer. It starts with Python’s logic, adds HTML and CSS for structure and style, sprinkles in data analysis, and rounds it out with Go Lang—because sometimes, even programmers enjoy a change of pace. It's ideal for learners who enjoy seeing code behave (most of the time) and data that tells a story without emotional outbursts. Learning Outcomes: Understand Python syntax, loops, and structured programming logic. Learn Go Lang structures and execution models for simple programmes. Explore HTML basics and webpage layout fundamentals. Study CSS styling for visual structure and site presentation. Apply Python to explore introductory data analysis techniques. Identify core programming patterns across language types. Who is this Course For: Beginners curious about Python and clean programming logic. Students exploring front-end and back-end web structure theory. Individuals interested in combining coding with data storytelling. Learners wanting to explore multiple programming language basics. Aspiring analysts looking at foundational coding for data handling. Developers transitioning to structured web and code learning. Hobbyists keen to write functional, logical, readable code. Coders who appreciate both syntax and simplicity in language. Career Path: Python Developer – £45,000/year Junior Data Analyst – £30,000/year Web Developer (HTML/CSS) – £32,000/year Go Lang Developer – £48,000/year Software Tester – £34,000/year Front-End Developer – £35,500/year

This DataCamp Mini Bundle packs five essential tools for anyone serious about making sense of spreadsheets, rows, and numbers. With Data Analysis as the centrepiece, you’ll get to grips with Excel for day-to-day calculations, SQL for managing databases, Python for automation and logic, and MS Word because, let’s face it, people still love reports. Whether you're analysing trends, streamlining reports, or simply learning how to stop Excel from crashing, this bundle sets you up with digital skills that do more than just fill a CV—they help you get work done quicker and cleaner. Learning Outcomes: Learn to analyse datasets using basic and advanced techniques. Use Excel for formulas, formatting, and clear data presentation. Write Python code for tasks like sorting and data handling. Understand SQL commands to manage structured databases efficiently. Create professional documents using MS Word confidently. Combine multiple tools for complete data project workflows. Who Is This Course For: Data enthusiasts looking to sharpen their tech toolset. Analysts wanting to improve their coding and reporting skills. Admin professionals working daily with data-heavy tasks. Graduates preparing for digital and tech-based roles. Freelancers managing reports, forms, and basic automation. Career changers aiming for data-related office roles. Anyone tired of Excel errors and report formatting headaches. People who enjoy clean spreadsheets more than chaos. Career Path: Data Analyst – £38,000/year Python Developer – £45,000/year Database Administrator – £42,000/year Business Intelligence Analyst – £47,000/year Excel Specialist – £33,000/year Reporting Analyst – £36,000/year

Python Programming: Beginner To Expert Course Overview The "Python Programming: Beginner to Expert" course provides a comprehensive learning journey from the basics of Python to advanced programming techniques. Designed to equip learners with the skills necessary to become proficient Python developers, this course covers a broad range of essential topics, including data types, operators, functions, error handling, and object-oriented programming (OOP). By the end of the course, learners will gain the expertise needed to develop complex applications and tackle real-world problems using Python. The course is ideal for those looking to deepen their understanding of programming and advance their careers in software development, data science, or automation. Course Description This course delves deeply into Python programming, beginning with the fundamentals and progressing to advanced concepts. Learners will explore core programming techniques, including control flow, functions, and error handling, as well as specialized topics such as object-oriented programming (OOP) and libraries like NumPy and Pandas. The course also covers career development topics, such as how to start a career in Python programming. Students will gain a solid understanding of Python’s capabilities and how to apply them across a variety of programming contexts, from scripting to data analysis and more. With its structured modules and clear guidance, learners will finish the course ready to take on more advanced programming projects and pursue roles in the field. Python Programming: Beginner To Expert Curriculum Module 01: Introduction to Python Programming from A-Z Module 02: Getting Familiar with Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input and Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting and Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction to OOP Module 15: Advanced OOP Module 16: Starting a Career in Python (See full curriculum) Who is this course for? Individuals seeking to start a career in Python programming. Professionals aiming to enhance their programming skills for career development. Beginners with an interest in software development, data science, or automation. Those looking to expand their programming knowledge in a structured and progressive way. Career Path Python Developer Software Engineer Data Analyst Data Scientist Automation Specialist Web Developer Backend Developer

This course will show you how to build Python-based web applications using Flask. You will cover the basics of the Flask framework and learn how to add functionality to your Flask applications using the popular extensions.

Get to grips with real-time stream processing using PySpark as well as Spark structured streaming and apply that knowledge to build stream processing solutions. This course is example-driven and follows a working session-like approach.

The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.

Implement a hands-on Python GUI project: Build a Cryptocurrency portfolio app with Python, Tkinter, SQLite3, and the CoinMarketCap API

Are you eager to learn Django and build real web applications? Do you want to gain hands-on experience with Python, Django, and Git? Look no further! This beginner-friendly course has got you covered. Discover the secrets of Django applications, templates, models, and migrations as we guide you through the process step-by-step. Tired of struggling with deployment? We will show you how to deploy your applications on a Railway Server effortlessly.

Learn Python and build & deploy a real estate application using the Django framework & PostgreSQL

Assuming that you don't know anything about web scraping, Scrapy, Python, web scraping, or even the meaning of web scraping-the author starts from the complete basics. A well-balanced course with theory and practical content followed by three projects at the end ensures you have the right skills to learn scraping.