Advanced Python: Web Dev, GUI, Databases & Mobile Apps

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Advanced Python: Web Dev, GUI, Databases & Mobile Apps

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·1mo ago
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Dive deep into Python with this comprehensive course covering essential areas of web development, GUI design, databases, and mobile apps. Learn to create dynamic websites using Flask, improve them with HTML, CSS, and deploy them to platforms like PythonAnywhere. Explore graphical user interfaces with Tkinter, build powerful desktop apps, and connect them to databases like SQLite and PostgreSQL. Master Object-Oriented Programming (OOP) and learn to create mobile apps with Kivy, including how to generate APK files for Android devices. The course progresses from simple web and mobile apps to complex applications integrating databases and OOP. You'll not only build functional apps but also learn best practices, debugging, and deployment. By creating projects like a book inventory app and a blog with Django, you'll gain hands-on experience with Python's most useful frameworks and tools. This course is perfect for intermediate learners looking to expand their Python skills. No prior knowledge of web development, mobile apps, or databases is required, though familiarity with basic Python is recommended. By the end of the course, you will be able to build full-fledged websites using Flask, create engaging GUI applications, interact with databases seamlessly, develop Android apps with Kivy, and understand the full development process from start to finish.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

BI plus process mining for Insurance: seeing variants, bottlenecks, conformance,+B87 and recovery economics
Combine Business Intelligence (BI) with process mining to optimize insurance processes, identifying variants, bottlenecks, and conformance issues
Dev.to · Ananthapathmanabhan A
I built web analytics with no dashboard, only an MCP
Learn how to build a web analytics tool with a minimalistic approach, using an MCP and AI-powered summaries, to gain insights without a traditional dashboard
Dev.to · Henrik Holen
Why is data science important?
Data science is crucial in today's data-driven world, enabling informed decisions and strategic actions across industries
Medium · Data Science
SQL to Python: The Exact Transition Every BA Needs to Make
Learn how to transition from SQL to Python for data analysis and science, a crucial skill for business analysts
Medium · Data Science
Up next
Google Analytics 4: Smart Rules for Beginners and Analysts
Coursera
Watch →