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Course Outline
Introduction
- Free and General Purpose vs Not Free or General Purpose
Setting up a Python Development Environment for Data Science
The Power of Matlab for Numerical Problem Solving
Python Libraries and Packages for Numerical Problem Solving and Data Analysis
Hands-on Practice with Python Syntax
Importing Data into Python
Matrix Manipulation
Math Operations
Visualizing Data
Converting an Existing Matlab Application to Python
Common Pitfalls when Transitioning to Python
Calling Matlab from within Python and Vice Versa
Python Wrappers for Providing a Matlab-like Interface
Summary and Conclusion
Requirements
- Experience with Matlab programming.
Audience
- Data scientists
- Developers
14 Hours
Testimonials (1)
### Scope of Knowledge and Group Collaboration#### DescriptionThis course focuses on the effective use of knowledge and collaborative work within a group. Participants will learn about various aspects of managing knowledge and collaborating efficiently with team members. The course covers the following topics:- Identification and utilization of knowledge sources- Techniques for effective knowledge sharing- Methods of collaborative work- Tools for group project management- Strategies for conflict resolution within a team- Best practices for team communication#### Learning Objectives- Understand the importance of knowledge management in group projects- Acquire skills for effective collaboration and communication within a team- Learn to use various tools and techniques for managing group projects- Develop strategies for resolving conflicts and enhancing team productivity#### Course Outline##### Module 1: Introduction to Knowledge Management- Definition and importance of knowledge management- Types of knowledge: explicit and tacit- Knowledge management lifecycle##### Module 2: Effective Knowledge Sharing- Techniques for capturing and sharing knowledge- Tools for knowledge sharing (e.g., wikis, databases, forums)- Creating a knowledge-sharing culture##### Module 3: Collaborative Work Methods- Overview of collaborative work principles- Tools for collaborative work (e.g., Slack, Trello, Microsoft Teams)- Best practices for team collaboration##### Module 4: Group Project Management- Introduction to project management methodologies (e.g., Agile, Scrum)- Tools for group project management (e.g., Jira, Asana)- Planning and executing group projects##### Module 5: Conflict Resolution- Identifying sources of conflict within a team- Strategies for conflict resolution- Building a cohesive team environment##### Module 6: Team Communication- Effective communication techniques within a team- Tools for team communication (e.g., Zoom, Skype)- Best practices for maintaining open and transparent communication#### Assessment- Participation in group discussions and activities- Completion of a group project- Written assignments and quizzes- Final exam covering all course topics
Dariusz Szymanski - DKWOC
Course - Python for Matlab Users
Machine Translated
