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Description
Description
This programme introduces students to the programming language Python and its use for programming and analytics.
Through a hands-on data science project, students will learn how to program in Python and how to use Python libraries relevant to data analytics such as pandas, matplotlib and seaborn, which provide powerful tools for creating detailed and comprehensive visualisations.
Business analyst can utilise Python’s capabilities in statistical analysis, predictive modelling, machine learning and drive business strategies and decision making.
Objectives
The aim of the course are
To introduce students to object-oriented programming and Python as generic programming language
To train students in Python libraries relevant to data analytics such as pandas, matlplotlib, NumPy and seaborn
Outlines
Know what data science is
Introduction to python basics (data types, loops, conditionals and functions)
Data structures in Python
Working with data in Python
Python libraries for business analysis (pandas)
Data visualization with Python (matplotlib, seaborn)
Apply your data science skills to a real-life data set and present your project to peers
Programme
• Get introduced to programming in general and in particular in Python
• Know its applications in data analysis and business analysis
• Learn how to use notebooks like Jupyter or Google Colab
• Write and execute Python programs that involves conditional and loop statements
• Analyze and visualize data using Pandas
• Know how to work with flat files and interact with SQL databases
• Prepare and visualise data using Matplotlib and Seaborn
• Analyze time series and price options using stochastic models
Part 1: Introduction to Python and Programming Concepts (12 hours)
1 - Introduction
2 - Python Data Types and Variables
3 - Control Structures
4 - Python Functions
5 - Python Libraries, Modules and Virtual envs
6 - File Handling and Exceptions in Python
Part 2: Data Analysis and Visualization with Python Libraries (8 hours)
1 - Python Libraries for Data Analysis - Numpy and Pandas
2 - Manipulating DataFrames
3 - Selecting and Filtering Data
4 - Data preparation and cleaning
5 - Data Transformation
6 - Grouping and Aggregation
7 - Data Visualization with Matplotlib and Seaborn (4 hours)
Part 3: Python real-life application (4 hours)
1 - Working with flat files and SQL Databases (2 hours)
2 - Time Series Analysis and Stochastic Models (4 hours)
Conclusion
• Recap of the course content
• Real-life applications of Python for business analysts
• Further resources for learning and improving Python skills
• Open discussion and final thoughts
Target audience
Data analysts
Exam
Online exam
Conditions
Course Material
The training material will be handed out at the beginning of the course.
Certificate
At the end of the training, a certificate of attendance will be available either on your client account or on demand at the customer service.
Candidates who successfully complete the examination will receive the following certificate of completion: "Certified Business Analyst with Python"
Location
L-1615 Luxembourg
Luxembourg
Sessions et horaires
-
Tue 04.02.2025
08:30 à 17:30
8H
Python Fundamentals for Business Analysts - Certified Programme
Chambre de Commerce Luxembourg
-
Wed 05.02.2025
08:30 à 17:30
8H
Python Fundamentals for Business Analysts - Certified Programme
Chambre de Commerce Luxembourg
-
Thu 06.02.2025
08:30 à 17:30
8H
Python Fundamentals for Business Analysts - Certified Programme
Chambre de Commerce Luxembourg
-
Thu 02.10.2025
08:30 à 17:30
8H
Python Fundamentals for Business Analysts - Certified Programme
Chambre de Commerce Luxembourg
-
Fri 03.10.2025
08:30 à 17:30
8H
Python Fundamentals for Business Analysts - Certified Programme
Chambre de Commerce Luxembourg
-
Mon 06.10.2025
08:30 à 17:30
8H
Python Fundamentals for Business Analysts - Certified Programme
Chambre de Commerce Luxembourg
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