Data Analytics · 10 weeks

Our Data Analytics Coding Bootcamp

Master Python, SQL, and modern data tools. Turn raw data into decisions and land a role as a data analyst or scientist.

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65,000 SEK

Including VAT when paid privately. Installment plans available.

87%hired within 6 months
4.9graduate rating / 5
16max cohort size

Tools you will use every single day

Python
SQL
Machine Learning
Data Analytics
Data Visualization
Generative AI

Curriculum breakdown

Ten weeks, five phases. Every week ends with a shipped project.

W1–2Python for Data
  • pandas & NumPy
  • Data cleaning & wrangling
  • Jupyter workflows
W3–4Databases & SQL
  • SQL queries & joins
  • Database design
  • PostgreSQL in practice
W5–6Analytics & Viz
  • Statistical analysis
  • Matplotlib, Seaborn, Plotly
  • Dashboards & storytelling
W7–8Machine Learning
  • Regression & classification
  • scikit-learn pipelines
  • Model evaluation
W9–10Capstone & Career
  • End-to-end data project
  • Portfolio building
  • Interview prep & hiring network

From spreadsheets to data pipelines

01

Arrive with curiosity

No stats degree required. If you can think logically and enjoy solving puzzles, you have what it takes to work with data.

02

Work with real datasets

Forget toy examples. You analyze actual company data, build dashboards people actually use, and present findings to real stakeholders.

03

Tell stories with numbers

Technical skills get you the interview. Communicating insights clearly gets you the job. We drill both equally.

04

Walk into interviews prepared

A portfolio of five data projects, a polished GitHub, and mock interviews with hiring managers. You go in ready.

Analysts who became mentors

Portrait of instructor David K.
David K.Lead Instructor · Analytics
Portrait of instructor Oscar W.
Oscar W.Instructor · ML & Data

Join our next cohort

Small groups, big outcomes. Find your start date below.

  • 2026 BC#4Data Analytics12 Oct – 18 Dec 2026Apply
  • 2027 BC#1Data Analytics4 Jan – 12 Mar 2027Apply

Still have questions?

Book a free call and we'll help you figure out the right path.

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FAQs

Exactly that. We take you from spreadsheets to Python, SQL, and automated data pipelines. The same work, but faster, cleaner, and scalable.

Basic arithmetic and a willingness to learn. We cover the statistics you need from scratch. No calculus required.

Yes. Weeks seven and eight cover regression, classification, and model evaluation with scikit-learn. You build and tune your own models.

Data Analyst, Business Intelligence Analyst, Data Scientist, and Analytics Engineer at companies ranging from startups to enterprises.

Logical thinking matters more than advanced math. If you can follow a recipe and adjust it when something tastes off, you can learn data analysis.

Everything is free: Python, Jupyter, VS Code, and PostgreSQL. We walk through setup on day one and provide cloud credits for heavier workloads.

The first four weeks overlap significantly. If you want to switch tracks, talk to your instructors and we will make it work if seats are available.

Career support continues for six months after graduation. If you complete all coursework and still have not landed a role, we refund your tuition.