Paris, France
Description :
This two-day training teaches you to master Python for efficiently exploring, cleaning, and transforming your datasets. Through hands-on exercises with pandas and NumPy, you will learn to prepare data for statistical analysis or modeling.
Learning Objectives:
- Install and configure a Python environment dedicated to data work.
- Manipulate DataFrames with pandas: filtering, aggregation, joins.
- Use NumPy for vectorized operations and performance optimization.
- Export data and create basic visualizations with matplotlib.
Target Audience:
Analysts, beginner data scientists, or any professional seeking training in data preparation with Python.
Duration:
2 days (9:00–12:30 & 13:30–17:00).
Number of Participants:
Maximum 12 participants.
Prerequisites:
Basic programming knowledge (variables, loops, functions).
Program:
Day 1: pandas & NumPy Fundamentals
- Introduction to the Python data ecosystem.
- Working with Series and DataFrames: reading, writing, filtering.
- Cleaning and handling missing values.
- Vectorized operations with NumPy for performance.
Day 2: Hands-On Exercises & Visualization
- Table joins and group-by operations.
- Advanced transformations: pivot, melt, apply.
- Data visualization with matplotlib.
- Workshop: complete an exploratory data analysis mini-project.
Pricing:
- Open enrollment: €1,400 excl. VAT per participant
- In-house: on request, tailored to your needs
Methods Employed:
- Theoretical presentations
- Guided practical exercises
- Mini-project application
Evaluation:
- Knowledge validation quiz
- Review of the mini-project and feedback
Delivery Mode:
Available in-person or via videoconference (Microsoft Teams). A computer with Python and Jupyter Notebook is required.
Accessibility:
Our sessions are accessible to people with disabilities. Please contact accessibility@eurekia-learning.com to arrange accommodations.
Our sessions are accessible to people with disabilities. Please contact accessibility@eurekia-learning.com to arrange accommodations.
Contacts:
- Quality referent: Jihane Khouzaimi (06 69 53 77 75 – contact@eurekia-learning.com)
- Pedagogical referent: Hatim Khouzaimi
Note:
This practical training will give you the keys to prepare and manipulate your data independently before any modeling phase.
