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 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.

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 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.

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 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.

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 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.

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 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.