Workshop : Data Analysis and Visualization with Python

Workshop : Data Analysis and Visualization with Python

Description:
Dive into the essentials of data analysis and visualization! Learn to manipulate data using Pandas and create compelling visualizations with Matplotlib and Seaborn, all through hands-on exercises. Ideal for computer science students and aspiring data analysts, this workshop will equip you with practical skills to uncover and present insights from real-world datasets. 
Objective:
Equip participants with a foundational understanding of data analysis and the practical application of visualization techniques using Python libraries like Pandas, Matplotlib, and Seaborn.
Target Audience:
Computer science students, aspiring data analysts, and individuals with basic Python skills.
Duration:
2 hours 
Prerequisites:
Basic familiarity with Python.
Laptop with Python and Jupyter Notebook installed.
Workshop Content:
1. Introduction to Data Analysis
2. Setting Up and Data Manipulation with Pandas
3. Data Visualization Basics
4. Hands-on Exercise and Application
5. Conclusion and Q&A
About the Instructor:
Kaouter LABED, Ph.D., specializes in Artificial Intelligence, with expertise in integrating bio-inspired algorithms for complex data analysis and decision-making processes. An accomplished educator at the Ecole Normale Supérieure d’Oran, Algeria, she brings extensive experience in satellite image clustering and the innovative combination of multicriteria analysis with bio-inspired algorithms, particularly in territorial management and spatial decision support systems. Dr. LABED holds an international certificate in Data Science and is actively engaged in various cutting-edge projects in natural language processing (NLP) and image processing, continually advancing the field through both her teaching and research.Don’t miss out on this opportunity to enhance your data analysis skills! Reserve your spot now!
Link for registration : https://forms.gle/suKStbu5YMEJY7nC6
Email contact:  maison.ia@univ-oran1.dz

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