Master Python with Real-World Data & Web Projects

Packt via Coursera Specialization

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Overview

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This specialization 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 specialization. The course provides an immersive learning experience where you will gain essential Python skills and apply them to 10 real-world projects. You will start with Python fundamentals, such as variables, data types, and basic operations. As you progress, you’ll develop advanced skills, diving into libraries like Pandas, NumPy, and OpenCV. By working through each project, you'll integrate these techniques to solve real-world challenges. Throughout the specialization, you will tackle projects that cover a broad range of industries and applications, including data analysis, web development, mobile app creation, and even image processing. These projects are designed to provide hands-on experience and help you build a portfolio of Python applications. This specialization is ideal for beginners who want to learn Python and its real-world applications. It’s also suitable for those looking to expand their programming skills and move into the fields of data science, machine learning, or web development. By the end of the specialization, you will be able to create Python applications, analyze datasets, develop web and mobile applications, and apply advanced Python techniques in real-world projects.

Syllabus

Course 1: Introduction to Python Programming and Essentials
Course 2: Intermediate Python – Libraries, Tools & Practical Projects
Course 3: Advanced Python: Web Dev, GUI, Databases & Mobile Apps

Courses

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17 hours 17 minutes
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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.
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14 hours 42 minutes
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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. This course is designed to elevate your Python skills by teaching you how to leverage powerful libraries, tools, and practical projects. You will work with key Python libraries such as Pandas for data analysis, NumPy for scientific computing, and Bokeh for data visualization. Additionally, you will gain hands-on experience with real-world projects, like web mapping and building an interactive English thesaurus. Whether you're interested in automating tasks or diving deep into data analytics, this course prepares you to handle complex challenges with Python. Throughout the course, you'll begin by mastering data manipulation with CSV, JSON, and Excel files. The journey continues with a focus on numerical computing using NumPy and creating interactive web maps with Python. You’ll also explore image and video processing, gaining the ability to work with computer vision and control webcams. In the final modules, you’ll develop apps that combine data analysis and visualization, culminating in the creation of an interactive web app for real-time data visualization. This course is ideal for intermediate Python learners who want to advance their knowledge by working on practical applications. You’ll gain in-depth expertise in Python libraries, and by the end, you will be equipped to handle various types of data analysis and programming challenges using Python. By the end of the course, you will be able to load and analyze datasets, manipulate and visualize data using advanced libraries like Pandas, NumPy, and Bokeh, create interactive web apps for data visualization, and handle image and video processing with Python.
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8 hours 19 minutes
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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. In this course, you’ll master the foundational concepts of Python, from data types to loops, functions, and file processing. You’ll start with a comprehensive introduction to Python and get hands-on experience with installing Python and setting up an IDE. As you dive deeper into Python's essentials, you’ll learn about variables, data types (like integers, strings, lists, and dictionaries), and operations that you can perform on them. With this foundation, you will be able to start writing simple programs and gradually move to more complex functions and loops. Throughout the course, you'll be introduced to concepts in a structured, easy-to-understand format, with each section building on the last. You’ll explore how to interact with users through input processing, create your own functions, and apply conditionals to control the flow of your code. The course emphasizes real-world application, teaching you how to use Python’s built-in features to solve practical problems, such as processing files and managing user inputs. This course is perfect for beginners who are keen to learn Python and understand its core concepts in depth. Whether you’re new to programming or looking to solidify your Python skills, this course will equip you with the knowledge and confidence to build your own Python programs. No prior programming experience is required, and by the end of the course, you'll be capable of writing, running, and debugging Python code to solve real-world problems. By the end of the course, you will be able to create Python programs with functions, handle user inputs, manipulate data with various data types, implement loops, process files, and understand Python modules.