Business Python:
Basic Training

Business Python:
Basic Training

Automate your business tasks, analyze data, and unlock the power of Python for everyday business solutions.

With our expert-led DBT training program,
designed to equip you with cutting-edge skills in modern application deployment and management.
Benefit from our wealth of experience from countless customer projects:

Experience a balanced mix of theory, live demonstrations and practical exercises.

Learn to write Python scripts to automate repetitive business tasks and enhance efficiency.

Master data manipulation, visualization, and integration with SQL databases for better decision-making.

Explore advanced concepts like APIs, web scraping, and machine learning for business insights.

Business Python Training – upcoming dates

04.11. – 06.11.2024

Business Python in 3 Days

07.01. – 09.01.2025

Business Python in 3 Days

18.03. – 20.03.2025

Business Python in 3 Days

This course is designed for business professionals looking to streamline workflows, automate tasks, and use Python for data analysis and business intelligence. Whether you have no prior programming experience or want to leverage Python for practical business applications, this course offers hands-on exercises in automation, data integration, and machine learning.

Practical Applications That We Will Cover in the Training:

  • 1
    Automating data extraction and report generation in Excel
  • 2
    Analyzing business data using Pandas
  • 3
    Creating visual representations of data with Matplotlib and Seaborn
  • 4
    Connecting Python applications to SQL databases
  • 5
    Sending automated emails and notifications
  • 6
    Web scraping to gather data from websites
  • 7
    Developing simple predictive models for business insights

After The Course, You Will Be Able To:

  • 1
    Write and run Python scripts to automate tasks
  • 2
    Manipulate and analyze business data efficiently
  • 3
    Integrate Python with SQL databases
  • 4
    Create data visualizations to support business decisions
  • 5
    Automate repetitive tasks in Excel and handle web scraping
  • 6
    Develop basic machine learning models and interact with APIs

The Business Python training is perfect for you if…

  • You are a business professional looking to automate tasks and improve efficiency
  • You have no prior programming experience but want to learn Python
  • You want to leverage Python for data analysis and business intelligence
  • You are interested in learning how to integrate Python with databases and web services

The Business Python training is not suitable for you if…

  • You are looking for an advanced programming course beyond business applications
  • You already have extensive experience in Python programming
  • You are not interested in applying programming skills in a business context

Agenda

Training

For small companies and teams that are new to the topic.

  • Course Overview
    • Goals and objectives
    • Course structure and prerequisites
  • Introduction to Python
    • Installation and setup
    • Basic syntax and data types
    • Writing and running your first Python script

  • Data Structures
    • Lists, tuples, sets, and dictionaries
    • Comprehensions
  • Control Structures
    • Conditional statements
    • Loops
  • Functions and Modules
    • Defining and calling functions
    • Importing and using modules

  • Handling Files
    • Reading from and writing to files (CSV, Excel)
    • Working with JSON
  • Data Manipulation with Pandas
    • DataFrames and Series
    • Basic operations (filtering, sorting, grouping)
  • SQL with SQLite and DuckDB
    • SQL Basics
    • SQL locally with SQLite
    • Analytics SQL with DuckDB
  • Database Integration
    • Connecting to SQL databases with SQLAlchemy
    • CRUD operations and querying data
  • Data Visualization
    • Creating charts with Matplotlib and Seaborn
    • Plotting business data

  • Automating Excel Tasks
    • Using OpenPyXL and Pandas for Excel automation
    • Formatting and generating reports
  • Web Scraping and Web Automation
    • Using BeautifulSoup and requests
    • Extracting data from websites
  • Automating Emails and Notifications
    • Sending automated emails with smtplib
    • Integrating with messaging platforms (e.g., Slack, Microsoft Teams)

  • Scripting and Task Scheduling
    • Writing reusable scripts
    • Scheduling tasks with cron or Windows Task Scheduler
  • Basics of Machine Learning
    • Introduction to scikit-learn
    • Simple predictive models for business data
  • APIs and Web Services
    • Introduction to RESTful APIs
    • Using Python to interact with APIs

  • Writing Clean and Efficient Code
    • Code organization and modularity
    • Using virtual environments and dependency management
  • Debugging and Testing

Customized

For large companies and teams that want to master special challenges.

  • Ihr Ökosystem
  • Ihre Best Practices
  • Ihre Probleme und Themen

  • Course Overview
    • Goals and objectives
    • Course structure and prerequisites
  • Introduction to Python
    • Installation and setup
    • Basic syntax and data types
    • Writing and running your first Python script

  • Data Structures
    • Lists, tuples, sets, and dictionaries
    • Comprehensions
  • Control Structures
    • Conditional statements
    • Loops
  • Functions and Modules
    • Defining and calling functions
    • Importing and using modules

  • Handling Files
    • Reading from and writing to files (CSV, Excel)
    • Working with JSON
  • Data Manipulation with Pandas
    • DataFrames and Series
    • Basic operations (filtering, sorting, grouping)
  • SQL with SQLite and DuckDB
    • SQL Basics
    • SQL locally with SQLite
    • Analytics SQL with DuckDB
  • Database Integration
    • Connecting to SQL databases with SQLAlchemy
    • CRUD operations and querying data
  • Data Visualization
    • Creating charts with Matplotlib and Seaborn
    • Plotting business data

  • Automating Excel Tasks
    • Using OpenPyXL and Pandas for Excel automation
    • Formatting and generating reports
  • Web Scraping and Web Automation
    • Using BeautifulSoup and requests
    • Extracting data from websites
  • Automating Emails and Notifications
    • Sending automated emails with smtplib
    • Integrating with messaging platforms (e.g., Slack, Microsoft Teams)

  • Scripting and Task Scheduling
    • Writing reusable scripts
    • Scheduling tasks with cron or Windows Task Scheduler
  • Basics of Machine Learning
    • Introduction to scikit-learn
    • Simple predictive models for business data
  • APIs and Web Services
    • Introduction to RESTful APIs
    • Using Python to interact with APIs

  • Writing Clean and Efficient Code
    • Code organization and modularity
    • Using virtual environments and dependency management
  • Debugging and Testing

Hear from our satisfied training attendees

A1 Telekom Austria AG

Reinhard Burgmann
Head of Data Ecosystem

„UTA coached my team along the development process of the migration plan of our on premises data lake to the public cloud.

The outstanding level of expertise, both on a technical and organizational level, ensured a well-structured and realistic migration plan including timeline, milestones, and efforts.

The enablement of my team was at the center of a very smooth collaboration. Through UTA, we achieved our goal faster and reduced risks of the migration project significantly.

I highly recommend UTA’s services!“

Vattenfall

Bernard Benning
BA Heat

„I recently attended Vattenfall IT’s online Kafka training day hosted by Ultra Tendency, and it was an enriching experience.

The trainer, Ahmed, did a fantastic job explaining the theory behind Kafka, and the emphasis on practical application was great. The hands-on programming exercises were particularly helpful, and I’ve never experienced training with so many interactive examples!

Overall, I highly recommend this training to anyone who wants to improve their Kafka knowledge interactively and gain valuable skills.“

VP Bank

Eisele Peer
Lead Architect & Head of IT Integration & Development

“The MLOps training exceeded our expectations!

It offered a perfect blend of an overview, hands-on coding examples, and real-world use cases. The trainer answered all questions competently and adapted the content to fit our company’s infrastructure.

This training not only provided us with knowledge but also practical skills that we can apply immediately.“

Your investment

2089 €plus VAT.
  • Get comfortable with Python basics, learning to write scripts that automate tasks like report generation and email notifications.
  • Manipulate and analyze business data using powerful libraries like Pandas, and create visualizations with Matplotlib and Seaborn.
  • Integrate Python with SQL databases for seamless data querying and storage, and use web scraping to gather insights from websites.
  • Build simple predictive models using machine learning and interact with APIs to enhance business processes with real-time data.
Book now
Choose costumized

Get to know your trainers

Marvin Taschenberger

Professional Software Architect, Ultra Tendency

Hudhaifa Ahmed

Senior Lead Big Data Developer Berlin Territory Manager, Ultra Tendency

Matthias Baumann

Chief Technology Officer & Principal Big Data Solutions Architect Lead, Ultra Tendency

Required hardware & infrastructure for your Docker Training

  • You will need a PC or Mac with a web browser and MS Teams.
  • During the training, we will provide you with a virtual machine with the required local dependencies, services and root access.
  • This VM has a running Kubernetes cluster on which you can test and execute the training instructions.
  • You can access the machine via a browser or SSH if you wish and the network restrictions allow it.