Become a Job-Ready Data Analyst

Learn to analyze, interpret, and communicate data through a structured, instructor-led program designed for beginners.

Develop the analytical and technical skills Swedish companies expect, gain hands-on experience working with real datasets, complete an industry internship, and prepare for your first role as a data analyst.
Apply nowProgram Overview

Program Overview

Key FactsTuition & Financial SupportEntry RequirementsIs This Program For You?Curriculum OverviewInternship OverviewCareer Outcomes

Key Facts

Duration
13 months
Study Pace
Full-Time, 100%
Format
Remote
Level
Beginner
Language
English

Tuition & Financial Support

This program is free of charge and fully government-funded
The program is CSN-eligible

Entry Requirements

Proficiency in English
High school mathematics
Applicants must live in Sweden

Is This Program For You?

This program is a good fit if:

You want a clear path toward working as a data analyst in Sweden
You want to work with real-world data to support business decisions
You are interested in data, analysis, and how insights are used in practice
You enjoy problem-solving, logical thinking, and working with structured information
You are ready to commit to a full-time, structured education

Curriculum Overview

Programming fundamentals with Python
Data analysis using Pandas and structured datasets
Data visualization with Pandas and Matplotlib
Working with CSV files, SQL databases, and data queries
API usage and data integration from external sources
Project-based learning using Git version control

Internship Overview

12-week internship included as part of the program
Internship placement is guaranteed and arranged by the school
Work on real data analytics tasks at a partner company

Career Outcomes

By the end of the program, you will be prepared to:

Apply for junior data analyst positions
Collect, clean, and analyze data to support business decisions
Create clear reports, dashboards, and visualizations
Work with databases, data files, and analytical tools used in industry
Communicate insights and collaborate with stakeholders and teams

Curriculum

The sections describe the learning stages and outlines what you will learn as you progress through the program.

1.
Programming Fundamentals with Python

You begin by learning core programming concepts using Python, a widely used language in data analysis and automation. This stage focuses on building a solid foundation in logical thinking and problem-solving.

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You will learn to:

  • Write clear and readable Python code
  • Work with variables, control flow, and functions
  • Understand object-oriented programming concepts
  • Break down problems into structured solutions

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No prior programming experience is required.

2.
Working with Data in Python

You then move on to working with real datasets using Python. This stage focuses on understanding how data is represented, how to explore it, and how to prepare it for analysis.

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You will learn to:

  • Load and inspect datasets in common formats
  • Work with structured data and data types
  • Clean and prepare data for analysis
  • Organize your work into repeatable analysis steps

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This is where programming fundamentals are applied to real datasets

3.
Data Analysis with Pandas

A central part of data analytics is turning raw data into structured insights. In this stage, you learn to use Pandas to transform, summarize, and analyze data efficiently.

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You will learn to:

  • Inspect, filter, sort, and transform datasets
  • Group and summarize data using aggregations
  • Combine datasets and work with multiple data sources
  • Build analysis workflows that are clear and maintainable
4.
Data Visualization and Communication

Data analysis is only valuable when insights can be understood and used. This stage focuses on presenting data clearly using visualizations and structured outputs.

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You will learn to:

  • Create charts and plots using Pandas and Matplotlib
  • Choose visualizations that match the question you are answering
  • Improve readability with labels, titles, and layout decisions
  • Communicate findings clearly through visual and written outputs

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This enables you to present results in a way that supports decision-making.

5.
Working with Databases, Files, and APIs

Modern analysts work with data from many sources. This stage focuses on extracting and working with data from databases, files, and external systems.

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You will learn to:

  • Work with CSV files and structured datasets
  • Query and retrieve data using SQL
  • Combine data from multiple sources
  • Retrieve and use data from external APIs
6.
Project-Based Data Analytics

Throughout the program, you apply your skills by completing end-to-end data analytics projects. Projects increase in complexity over time and reflect real analytical work.

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By the end of the program, you will have:

  • Completed multiple data analytics projects
  • Worked with real datasets from different domains
  • Built practical experience relevant to junior data analyst roles

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Projects are an essential part of learning and reinforce skills across all stages of the curriculum.

7.
Development Tools & Workflow

Throughout the program, you will work with the same tools and development workflows used by professional analysts and developers in the industry. These tools are integrated into the learning process and used consistently across projects and assignments.

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You will work with:

  • Python for programming and data analysis
  • Jupyter-based workflows for exploration and reporting
  • GitHub for collaboration, code sharing, and project tracking
  • Git for version control and source code management
  • Pandas and Matplotlib for analysis and visualization
  • SQL for working with databases and structured queries

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You will also practice working within development workflows similar to those used in professional teams.

Internship

The internship lasts 12 weeks and focuses on applying your skills in a professional work environment.

1
Guaranteed Placement

Internship placement is guaranteed for all students.

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All placements are arranged and coordinated by the school in collaboration with our network of partner companies. Students are not expected to search for internships independently or manage the placement process on their own.

2
Work and Responsibilities

During the internship, you work on real data analytics–related tasks that reflect professional expectations and typical responsibilities in a junior data analyst role.

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Depending on the placement, you may:

  • Work with real datasets to support analysis and reporting
  • Clean, transform, and analyze data from different sources
  • Apply analytical workflows used in professional teams
  • Collaborate with analysts, developers, and business stakeholders

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The focus is on applying the skills you developed during the program in a real-world context.

3
Partner Companies and Industry Context

Internships take place at companies across a range of industries, such as technology, media, automotive, energy, and digital services. This provides exposure to different organizational structures and data environments where data analysis is applied in practice.

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While the specific placement may vary depending on availability and company needs, all internships are selected to provide relevant experience connected to data analytics.

4
Preparing for the Job Market

The internship strengthens your readiness for junior data analyst roles by combining technical training with real workplace experience.

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Through the internship, you will:

  • Gain experience working in a professional development environment
  • Better understand expectations in a data analyst role
  • Strengthen both technical and collaborative skills
  • Build confidence applying for entry-level data analyst positions
  • Receive career preparation support, including:
    • CV structure and feedback
    • Interview preparation
    • Communicating technical experience clearly

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By the end of the internship, you will have practical experience that complements your technical education and supports your transition into the job market.

First-hand experiences from former students

What Students Say About the Program

Read Trustpilot Reviews
Serah R.
Sweden
“The perfect place to start your coding journey and kickstart your career.”
January 2, 2024
Alex D.
Sweden
“It was easy to follow and never stressful — what I learned applies to other programming languages too.”
June 28, 2024
Neeraja K.
Sweden
“An excellent choice for anyone without a software background.”
December 13, 2024
Maryam S.
Sweden
“I started with zero knowledge — now I’m a confident developer.”
January 2, 2024
Hellayne B.
Sweden
"My overall impression of the course was very positive. I not only learned technical skills but also how to solve problems and think critically."
March 10,  2025
Tony J.
Sweden
“Humberto is a legend when it comes to teaching programming.”
December 19, 2022
Boban S.
Sweden
"It was really perfect experience with Linero Tech. I would definitely recommend to everyone!"
January 2, 2024
Leya S.
Sweden
“Humberto is the best teacher — he makes learning easy.”
July 6, 2024
Dima F.
Sweden
“The instructor made complex topics easy and the learning experience highly engaging.”
January 2, 2024
Hellayne Belas
Sweden
"My overall impression of the course was very positive. I not only learned technical skills but also how to solve problems and think critically."
March 10, 2025
Maryam S.
Sweden
“I started with zero knowledge — now I’m a confident developer.”
Januay 2, 2024
Neeraja K.
Sweden
“An excellent choice for anyone without a software background.”
December 13, 2024
Alex D.
Sweden
“It was easy to follow and never stressful — what I learned applies to other programming languages too.”
June 28, 2024
Serah R.
Sweden
“The perfect place to start your coding journey and kickstart your career.”
January 2, 2024
Boban S.
Sweden
"It was really perfect experience with Linero Tech. I would definitely recommend to everyone!"
January 2, 2024
Meena S.
Sweden
“Humberto explained everything in a way that everyone could understand.”
June 30, 2024
Leya S.
Sweden
“Humberto is the best teacher — he makes learning easy.”
July 6, 2024
Dima F.
Sweden
“The instructor made complex topics easy and the learning experience highly engaging.”
January 2, 2024
Taught by an experienced data analyst

Meet your instructor

This program is taught by Humberto Linero, a data analyst with professional experience working in a research environment and a strong focus on practical, real-world data work.

Humberto’s teaching approach is based on clarity, structure, and hands-on problem solving.

Throughout the program, Humberto will guide you through challenges, answer questions, and support your progress from fundamentals to complete data analysis projects.
About Humberto
View Certification
Officially recognized education provider

Certified Education Provider

Linero Tech AB is an authorized education provider certified by Almega, a recognized Swedish organization for quality and professionalism in education and training.
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This means that our education is delivered within a regulated framework and subject to external oversight.

For students, this provides assurance that the education is legitimate, accountable, and officially recognized.

Take the Next Step

Apply to our CSN-approved data analytics program with a guaranteed internship.
Apply NowTalk to our advisor

4.8 rating in Trustpilot

FAQ

Is the program entirely remote?

The program is primarily remote.

All lectures are conducted online; however, there will be approximately 5 to 6 in-person sessions throughout the program. These sessions are important for specific activities such as exams, workshops, or networking.

Full details of the schedule will be provided upon acceptance into the program.

Can I combine the program with work or studies?

It is not recommended.

Since this program is full-time (100%),  it is not recommended to combine this program with full-time work or other full-time studies.

Is this program suitable for beginners with no prior experience?

Yes.

The program is designed for beginners and does not require prior programming experience.

You will begin with programming fundamentals and gradually progress toward applying your skills in complete, real-world projects.

How much time per week do I need to dedicate to the studies?

A minimum of 5 hours per day is recommended.

The program is full-time and requires a full-time commitment. You should expect to study and work on assignments during standard working hours throughout the week.

Do I get help with finding an internship?

Yes.

Internship placement is guaranteed and arranged by the school. Students are not expected to find internship placements independently.

What are the technical requirements to join the program?

To participate in the program, you need:

  • Access to a computer (Windows or macOS)
  • A stable internet connection

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If you don’t have access to a laptop, we can provide one free of charge for the duration of the program.

What are the entry requirements?

To apply, you need:

  • Proficiency in English
  • High school–level mathematics

‍

No prior programming experience is required.

How is the program structured?

The program combines:

  • Instructor-led teaching
  • Weekly lectures
  • Hands-on coding exercises
  • Project-based learning
  • Mandatory internship.

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Learning is structured to move from fundamentals to applied, real-world work.

Will I receive a certificate after completing the program?

Yes.

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Upon successful completion of the program, you will receive a certificate confirming that you have completed the education.

Didn’t find the answer you were looking for?
Talk to our advisor
hello@linerotech.se
Gothenburg, Sweden
559289-7622
About UsBlogProgramsContact usInstructorQuality PolicyAlmega Certification

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