Python has become one of the most widely used programming languages for data analysis, data engineering, machine learning, and artificial intelligence. Its powerful ecosystem enables professionals to efficiently collect, clean, transform, analyse, and visualise data from a wide variety of sources.

Data Handling in Python is a three-day hands-on training programme designed to provide participants with a practical foundation in Python for data processing. Throughout the course, learners explore Python fundamentals while working extensively with industry-standard libraries including NumPy, Pandas, Matplotlib, and Seaborn.

Through practical exercises and guided technical labs, participants learn how to prepare datasets, automate repetitive tasks, perform statistical analysis, and produce meaningful visualisations that support data-driven decision making.

The programme also establishes the essential Python skills required for more advanced learning in data engineering, data science, machine learning, and artificial intelligence.

We can organize this training at your preferred date and location.

Prerequisites

Previous Python experience is not required.

Participants should have a basic understanding of common data concepts such as tables, records, columns, rows, and data types. General data literacy will help maximise the learning experience.

Who Should Attend

This course is suitable for:

Data Analysts
Data Engineers
DataOps Professionals
Business Intelligence Specialists
Professionals preparing for Data Science roles
Developers working with AI services
Anyone seeking practical Python skills for data analysis

What You Will Learn

Upon completion of this course, participants will be able to:

Use Python effectively for data processing tasks.
Perform numerical computations with NumPy.
Analyse and manipulate datasets using Pandas.
Create informative data visualisations with Matplotlib and Seaborn.
Work confidently within the Jupyter Notebook environment.
Import and export data from CSV, Excel, JSON, and other structured file formats.
Clean and prepare datasets for analysis.
Automate repetitive data processing tasks using Python.
Build a strong programming foundation for future learning in Data Engineering, Data Science, Machine Learning, and Artificial Intelligence.

Training Outline

Module 1 – Introduction to Programming for Data Processing

Benefits of programming for data analysis
Common programming languages used in analytics
Programming versus traditional analytical tools
Python's role in modern data workflows

Module 2 – Python Fundamentals and Jupyter Notebook

Python language fundamentals
Working with Jupyter Notebook
Writing basic Python programs
Variables and data types
Strings
Integers
Floating-point values
Boolean logic

Module 3 – Data Structures and Program Flow

Lists
Tuples
Dictionaries
Sets
Conditional statements
Loops
Creating reusable functions
File input and output
Process automation

Module 4 – Numerical Computing with NumPy

NumPy arrays
Array creation
Indexing
Filtering
Masking
Querying data
Vectorised operations
Mathematical computations

Module 5 – Data Analysis with Pandas

Series and DataFrames
Reading and writing datasets
Index management
Data type conversion
Summary statistics
Aggregation
CSV
Excel
JSON
Structured data formats

Module 6 – Data Cleaning

Handling missing values
Removing duplicate records
Data transformation
Text processing
String methods
Regular Expressions (Regex)

Module 7 – Data Manipulation

Pivot tables
Combining datasets
Time series analysis
Streaming large datasets
Performance optimisation

Module 8 – Data Visualisation

Creating charts with Matplotlib
Visual analytics using Seaborn
Numeric and categorical visualisations
Aggregated data visualisation
Designing effective and meaningful charts

Why Choose Us

Experience Data Handling in Python in Sweden through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

Delivery Method: Online Instructor-Led
Participation Model: Public / Private (In-house)
Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
Worldwide Access: Join our live virtual classrooms from Sweden or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Data Handling in Python through face-to-face Classroom Based training in Sweden. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

Delivery Method: Classroom Based
Participation Model: Public / Private (In-house)
Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Data Handling in Python in Sweden as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

Delivery Method: Onsite
Participation Model: Private (In-house)
Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
Worldwide Onsite Delivery: Arrange the training in Sweden or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Data Handling in Python Training in Sweden

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

Module 1 – Introduction to Programming for Data Processing

Module 2 – Python Fundamentals and Jupyter Notebook

Module 3 – Data Structures and Program Flow

Module 4 – Numerical Computing with NumPy

Module 5 – Data Analysis with Pandas

Module 6 – Data Cleaning

Module 7 – Data Manipulation

Module 8 – Data Visualisation

Why Choose Us

Data Handling in Python Training Course in Sweden Schedule

Blog posts related to Data Handling in Python Training Course in Sweden

Data Handling in Python Training in Sweden

Prerequisites

Who Should Attend

What You Will Learn

Training Outline

Module 1 – Introduction to Programming for Data Processing

Module 2 – Python Fundamentals and Jupyter Notebook

Module 3 – Data Structures and Program Flow

Module 4 – Numerical Computing with NumPy

Module 5 – Data Analysis with Pandas

Module 6 – Data Cleaning

Module 7 – Data Manipulation

Module 8 – Data Visualisation

Why Choose Us

Online Instructor-Led Training

Classroom Based Training

Onsite Training

Data Handling in Python Training Course in Sweden Schedule

Blog posts related to Data Handling in Python Training Course in Sweden

Using Python for Data Science, Machine Learning and Automation

What Is Python? What Is It Used For and Why Is It So Popular?