Python Bootcamp for Industry Professionals

• Course cost: Early bird registration rate of $999 till September 25 and then $1,199.
• Dates: Oct 9-10
• Location: 2127 Innerbelt Business Center Drive, St. Louis, MO 63114
  • The program will be held in person, with a livestream option if needed.
• Target Audience:
  • Business professionals with little to no programming experience 
  • Engineers from other disciplines seeking Python skills 
  • Analysts wanting to enhance their data processing capabilities 
  • Managers looking to understand technical possibilities for their teams 
  • Career changers exploring tech opportunities 
• Prerequisites:
  • Basic computer literacy (file management, using applications) 
  • Comfort with spreadsheets (Excel/Google Sheets) helpful but not required 
  • Willingness to learn through hands-on practice 
  • No prior programming experience necessary
• Technical Requirements:
  • Required Software (we'll install together): 
    • Python 3.9+ (latest stable version) 
    • Visual Studio Code or Jupyter Notebook 
    • Git (for version control basics) 
  • Python Libraries (installed during setup): 
    • pandas (data manipulation and analysis) 
    • matplotlib & seaborn (data visualization) 
    • requests (API interactions) 
    • beautifulsoup4 (web scraping) 
    • openpyxl (Excel file handling) 
    • python-dotenv (environment management) 
  • Hardware: Laptop with at least 4GB RAM, 2GB free storage 

At the end of this course, you'll gain:

1. Immediate Practical Skills: Write Python scripts that solve real business problems 
2. Automation Capabilities: Streamline repetitive tasks and improve workflow efficiency 
3. Data Analysis Foundation: Extract insights from datasets and create compelling visualizations 
4. API Integration Skills: Connect to web services and automate data collection 
5. Web Scraping Abilities: Gather data from websites for competitive analysis or research 
6. Professional Development: Build a portfolio of projects to showcase your new skills 

Day 1: Python Fundamentals for Automation & Scripting 

Daily Theme: "From Manual to Automated - Building Your First Tools" 

Learning Objectives 

By the end of Day 1, you will: 

• Set up a professional Python development environment
• Write basic Python programs with confidence
• Create reusable functions for common tasks
• Handle files and errors like a pro
• Build your first automation script 

Detailed Schedule

Deliverables

• Personal utility function library 
• Working automation script (mini project) 
• Understanding of Python development workflow 

Day 2: Python for Real-World Data Tasks 

Daily Theme: "From Data Chaos to Business Intelligence"

Learning Objectives 

By the end of Day 2, you will: 

• Extract data from APIs and websites
• Analyze and visualize datasets professionally
• Build complete data processing pipelines
• Create presentation-ready charts and reports
• Develop a comprehensive capstone project 

Detailed Schedule

Deliverables

• API integration script
• Data analysis and visualization notebook
• Web scraping application
• Complete capstone project with documentation 

Technical Skills Acquired 

Upon successful completion, participants will demonstrate proficiency in: 

Core Programming 

• Python syntax, data types, and control structures
• Function design and modular programming
• Error handling and debugging techniques
• File I/O operations and data processing 

Data & API Skills 

• REST API consumption and data extraction
• Pandas for data manipulation and analysis
• Statistical analysis and business metrics calculation
• Professional data visualization and reporting 

Automation & Integration 

• Web scraping for competitive intelligence
• Task automation and workflow optimization
• Integration with external services and databases
• Version control and code organization 

Business Applications 

• Process automation to increase efficiency
• Data-driven decision making capabilities
• Competitive analysis through web scraping
• Custom reporting and dashboard creation
• Integration of multiple data sources