Python Fundamentals for Business Analysts

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24,00 Stonn(en)

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Wien organiséiert dës Formatioun?

Fondation créée en 2015 par la Chambre de Commerce et l’Association des Banques et Banquiers Luxembourg (ABBL), la House of Training est un organisme agréé de formation professionnelle continue qui s'engage à contribuer activement à la compétitivité et à l'attractivité du Luxembourg en développant les compétences de ceux qui font vivre son économie.

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U wie riicht sech d'Formatioun?

Data analysts

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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.

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

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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
Analyse and visualise data using Pandas
Know how to work with flat files and interact with SQL databases
Prepare and visualise data using Matplotlib and Seaborn
Analyse time series and price options using stochastic models

Part 1: Introduction to Python and Programming Concepts (12 hours)

Introduction
Python Data Types and Variables
Control Structures
Python Functions
Python Libraries, Modules and Virtual envs
File Handling and Exceptions in Python

Part 2: Data Analysis and Visualization with Python Libraries (8 hours)

Python Libraries for Data Analysis - Numpy and Pandas
Manipulating DataFrames
Selecting and Filtering Data
Data preparation and cleaning
Data Transformation
Grouping and Aggregation

Data Visualization with Matplotlib and Seaborn (4 hours)

Part 3: Python real-life application (4 hours)

Working with flat files and SQL Databases (2 hours)
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

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Attestation, Certificat:

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"