What you'll learn

Skills you'll gain

Professional Certificate - 6 course series

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.

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 This course is for 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.

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 This course is for 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.

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 This course is for 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.

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 This course is for 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.

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 This course is for 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.

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 This course is for 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.

Data Analysis and Visualization with Python

Automation and Scripting with Python

Web Development with Python

Advanced Python Development Techniques

Project Development in Python