Training Course in Data Science Project Management Using Python

Course Overview

Python is the most popular programming language for data science process in recent years; the world we are in is experiencing the age of informatics. In this regard, this course equips professionals with the essential skills to manage data science projects using Python. From conceptualizing data strategies to implementing Python-based solutions, this course provides an understanding of the project management lifecycle. In this course, participants will learn how to efficiently manage data workflows, resource allocation, and execution using Python.

Course Objectives
By the end of this course, participants will:

• Understand the fundamentals of data science project management.
• Master key Python tools and libraries for data analysis and project tracking.
• Learn to develop comprehensive project plans, from data collection to deployment.
• Enhance decision-making through effective communication and reporting.
• Improve their ability to mitigate risks, allocate resources, and meet project deadlines.
• Understand how to collaborate between data scientists, stakeholders, and technical teams.

Course Outline

• Introduction to Data Science Project Management: Key concepts, project lifecycle, and role of Python.
• Data Collection and Preparation: Overview of data gathering, cleaning, and preprocessing using Python (Pandas, NumPy).
• Project Planning and Resource Management: Strategic planning, setting timelines, budgeting, and using tools like Jupyter Notebooks for tracking.
• Exploratory Data Analysis (EDA): In-depth exploration of datasets using visualization tools such as Matplotlib and Seaborn.
• Model Building and Testing: Developing predictive models, validation techniques, and performance metrics using Python libraries (Scikit-Learn).
• Managing Deliverables and Deadlines: Reporting results, project reviews, and handling client/stakeholder expectations.
• Risk Management and Mitigation: Identifying potential risks in data science projects and implementing contingency plans.
• Project Closure and Post-Implementation Review: Best practices for project handover, performance reviews, and continuous improvement strategies.

Target Group
This course is ideal for:

• Project managers looking to expand their expertise in data science.
• Data scientists and analysts who want to improve their project management skills.
• IT professionals who need to manage data science projects effectively.
• Business professionals seeking to understand data-driven decision-making.
• Anyone responsible for leading or contributing to data science teams.

Program Cost

• 5-day course: €3700
• 10-day course: €6500

The course is available on different dates upon request to accommodate busy healthcare professionals. Contact us to schedule your preferred time.

Organizers

The Geneva Institute of Business Management organizes this course with its European partners.