What Is Data Communication? Basics to Know
November 22, 2024
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Launch your career as a Python Developer. Learn in-demand Python skills and become a job-ready developer in less than 4 months. No degree or experience required.
Instructor: Microsoft
Included with
Recommended experience
Beginner level
H.S. education. No prior computer experience required.
Recommended experience
Beginner level
H.S. education. No prior computer experience required.
Gain a strong foundation in Python syntax, data structures, and control flow, enabling you to write clean and efficient code.
Use powerful libraries like pandas and Matplotlib to extract insights from data and create compelling visualizations.
Develop skills in scripting and automation to streamline workflows, manipulate data, interact with APIs, and increase efficiency.
Explore web development using Flask, learning to create dynamic applications, interact with databases, and build RESTful APIs.
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Launch your Python Developer career with no prior experience needed! This program is perfect for career changers and those looking to break into the tech industry. Learn Python, a top programming language used in web development, data science, and automation, opening doors to exciting opportunities and competitive salaries.
Why choose this program?
Specifically designed for reskillers: Tailored for individuals seeking new career paths or to enhance their existing skills with in-demand Python knowledge.
Confidence in your success: Our rigorous curriculum, hands-on projects, and career-building module provide a path to achieving your career goals.
Uniquely comprehensive: From the basics to advanced concepts like generative AI and cloud computing, gain a well-rounded skillset that sets you apart.
You'll gain practical experience with:
Hands-on projects: Build a portfolio showcasing your abilities to potential employers.
Generative AI integration: Learn to leverage cutting-edge tools for code generation and optimization.
Cloud computing with Azure: Gain practical experience deploying applications on a leading cloud platform.
Plus, dedicated career support:
Career-building module: Receive expert guidance on portfolio creation, resume writing, and interview techniques to navigate your job search.
Prerequisites:
Basic computer skills, problem-solving abilities.
Enroll now and unlock your potential in the exciting world of Python development!
Applied Learning Project
This program takes you on a six-part journey, mirroring the work of an entry-level Python developer. First, build your fundamental Python skills with hands-on practice writing code, debugging, and exploring essential Python libraries. Then, you’ll start cleaning and analyzing real data and create visualizations to uncover hidden insights in projects related to real-world scenarios. Ultimately, you’ll work toward a final project to automate a sports data collection. First, you’ll build a machine learning model to make predictions, then you’ll design a web application to showcase the sports data insights. The project-based journey culminates in building a chatbot to summarize real-time sports stats and analysis. Along the way, you will also gain collaboration skills essential to a successful career as a Python developer, and tools like Git, and applying Agile methodologies to realistic workplace scenarios.
Description: This course lays the groundwork for your Python programming journey. You'll learn essential Python syntax, data structures, and control flow, while practicing debugging and basic code optimization techniques.
Benefits: Gain a solid foundation in Python programming, enabling you to write clean, functional scripts and tackle common programming challenges. By the end of this course, you'll be able to: • Write basic Python programs using variables, data types, and operators. • Implement conditional statements and loops to control program flow. • Utilize functions and modules to write reusable and organized code. • Manipulate data using lists, dictionaries, and other data structures. • Debug code and handle errors effectively. • Employ Git for version control and create a professional GitHub portfolio. Tools/Software: Python, Jupyter Notebook, Git, GitHub
Description: This course delves into the world of data analysis with Python. You'll learn how to use libraries like pandas and Matplotlib to manipulate, analyze, and visualize data, extracting valuable insights and communicating findings effectively.
Benefits: Become proficient in data analysis techniques, enabling you to extract meaningful insights from data and present them in compelling visualizations. By the end of this course, you'll be able to: • Perform data cleaning, transformation, and manipulation using pandas. • Create various types of visualizations using Matplotlib. • Understand the fundamentals of generative AI and its applications in data analysis. • Implement basic machine learning models for data analysis. Tools/Software: Python, Jupyter Notebook, pandas, Matplotlib, Scikit-learn
Description: This course focuses on automating tasks and improving efficiency using Python. You'll learn how to write scripts for file manipulation, data extraction, web scraping, and interacting with APIs.
Benefits: Automate repetitive tasks, streamline workflows, and increase productivity in various domains using Python scripting. By the end of this course, you'll be able to: • Write scripts to automate file operations and data extraction. • Perform web scraping using BeautifulSoup and Scrapy. • Interact with REST APIs using the requests library. • Integrate with third-party services like email and cloud storage. • Schedule automated tasks using cron jobs and Task Scheduler. • Optimize and scale automation scripts for increased efficiency. Tools/Software: Python, os, shutil, glob, BeautifulSoup, Scrapy, requests, smtplib, imaplib, cron, Task Scheduler
Description: This course provides a comprehensive introduction to building dynamic web applications using Python and the Flask framework. You'll learn how to handle user interactions, work with databases, develop APIs, and deploy secure and reliable web applications.
Benefits: Gain the skills and knowledge to build dynamic and interactive web applications using Python, opening doors to exciting career opportunities in web development. By the end of this course, you'll be able to: • Understand the fundamentals of web development with HTML, CSS, and JavaScript. • Build web applications using the Flask framework. • Work with databases using SQL and ORMs like Flask-SQLAlchemy. • Develop RESTful APIs for web services. • Deploy web applications to cloud platforms. • Implement security measures to protect web applications. Tools/Software: Python, Flask, HTML, CSS, JavaScript, SQL, Flask-SQLAlchemy, Vue.js
Description: This course elevates your Python expertise by exploring advanced programming concepts and industry-standard practices. You'll delve into sophisticated data structures, code optimization techniques, object-oriented programming, generative AI, cloud computing, and robust testing strategies.
Benefits: Master advanced Python programming techniques, enabling you to tackle complex challenges and optimize code for efficiency and maintainability. By the end of this course, you'll be able to: • Utilize advanced data structures like stacks, queues, and graphs. • Write cleaner and more efficient code using decorators, generators, and context managers. • Apply advanced object-oriented programming concepts. • Leverage generative AI tools for code generation and optimization. • Deploy applications to cloud platforms like Azure. • Write comprehensive documentation and employ Test-Driven Development (TDD). Tools/Software: Python, Azure, Sphinx, asyncio
Description: This course focuses on managing and executing Python projects effectively in a collaborative environment. You'll learn project management principles, DevOps practices, Agile methodologies, client communication, and career-building strategies.
Benefits: Gain a comprehensive understanding of project management, DevOps, and Agile methodologies, preparing you to lead and contribute effectively to real-world Python projects. By the end of this course, you'll be able to: • Apply project management principles to Python development. • Utilize DevOps tools like Docker and Kubernetes. • Implement Agile principles for iterative development. • Understand and interpret client requirements. • Build and train basic chatbots using Python. • Create a compelling portfolio and resume. • Network effectively and prepare for job interviews. Tools/Software: Docker, Kubernetes, Prometheus, Grafana, Jira, ChatterBot, spaCy
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Entry-Level professionals looking to build a foundational understanding and experience with Python, while seeking employment as a Python developer.
No prior work experience or degree is required.
Python development is the process of creating software applications, scripts, and tools using the Python programming language. It encompasses a wide range of activities, from designing algorithms and data structures to implementing user interfaces, testing code, and deploying solutions to production environments.
A Python developer is a software professional who specializes in using the Python programming language to design, build, and maintain various applications. Python developers leverage Python’s versatility and extensive libraries to create solutions across diverse domains such as web development, data analysis, automation, and machine learning.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
¹Based on Coursera learner outcome survey responses, United States, 2021.
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