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 Python Coding in Procurement B2519 QR Code
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Python Coding in Procurement

Overview:

Introduction:

This training program is designed to equip professionals with essential Python coding skills to leverage technology effectively in their roles.

Program Objectives:

At the end of this program, participants will be able to:

  • Provide a foundational understanding of Python programming concepts.

  • Explore practical applications of Python in procurement tasks and processes.

  • Automate repetitive procurement tasks using Python scripts.

  • Enhance data analysis capabilities for informed decision-making in procurement.

  • Foster innovation and efficiency through the integration of Python coding in procurement practices.

Targeted Audience:

  • Procurement professionals at all levels seeking to enhance their skills and stay ahead in the rapidly evolving digital landscape.

  • Procurement managers, analysts, specialists.

Program Outline:

Unit 1:

Introduction to Python for Procurement:

  • Overview of Python programming language.

  • Setting up Python environment.

  • Basic syntax and data types.

  • Variables and operators.

  • Control flow: loops and conditionals.

Unit 2:

Data Handling and Analysis in Procurement:

  • Working with data structures: lists, tuples, dictionaries.

  • Reading and writing files in Python.

  • Introduction to libraries for data analysis: Pandas and NumPy.

  • Data manipulation and cleaning techniques.

  • Exploratory data analysis for procurement datasets.

Unit 3:

Automating Procurement Tasks with Python:

  • Introduction to automation concepts.

  • Using Python to automate repetitive procurement tasks.

  • Web scraping for procurement data collection.

  • Interacting with APIs for procurement data retrieval.

  • Building reusable scripts for procurement automation.

Unit 4:

Advanced Data Analysis Techniques:

  • Advanced data manipulation with Pandas.

  • Data visualization using Matplotlib and Seaborn.

  • Statistical analysis for procurement insights.

  • Introduction to machine learning for procurement forecasting.

  • Case studies and practical applications of advanced data analysis in procurement.

Unit 5:

Integration and Deployment in Procurement Workflow:

  • Best practices for integrating Python scripts into procurement workflows.

  • Version control and collaboration with Git and GitHub.

  • Packaging Python scripts for deployment.

  • Strategies for maintaining and updating Python-based procurement solutions.

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