Data Analyst
The Data Analyst Program is a 90-week, full-time course designed to equip learners with the skills to gather, analyze, and interpret data. Using deep tech tools like Python and PowerBI, students will develop practical data solutions for real-world applications.
Provided by: Hyper Island
Starts:
Monday, 4 August 2025
Application deadline:
Monday, 14 April 2025
Course Presentation
Data Analyst Program
The Data Analyst Program at Hyper Island is a comprehensive, 90-week, full-time course designed to equip learners with the skills and knowledge necessary to excel in the dynamic field of data analytics. Through a combination of practical, project-based learning and in-depth study of key concepts, this program prepares students for a wide range of roles in data-driven industries, focusing on the real-world application of deep tech tools and methodologies.
Purpose and Aims of the Course
The aim of the Data Analyst Program is to provide learners with a solid foundation in data collection, analysis, and interpretation, empowering them to turn data into actionable insights that drive strategic decisions. This course emphasizes hands-on experience with the latest technologies, ensuring that students are well-versed in modern data tools and techniques. Learners will develop competencies in areas such as data engineering, visualization, business intelligence, and ethics, preparing them to tackle complex data challenges in a variety of industries.
Who is this Program For?
This program is ideal for individuals looking to start, accelerate, or pivot their careers into data analytics. It is designed for those with a passion for problem-solving, data interpretation, and leveraging technology to make informed business decisions. Whether you are a beginner or someone with some experience in data-related fields, this program will give you the confidence and skills to excel as a data analyst, business intelligence specialist, or data strategist.
Key Knowledge and Skills Developed
Throughout the program, learners will acquire key competencies, including:
- Data Analysis & Visualization: Master tools such as Excel, Python, Tableau, and PowerBI to interpret and present data effectively.
- Data Engineering Fundamentals: Gain proficiency in setting up and managing data infrastructures to ensure efficient data processing.
- Business Intelligence: Learn to develop strategic insights using data and create impactful visualizations and dashboards to support business decision-making.
- Ethics and Data Governance: Understand the legal and ethical considerations of working with data, including data privacy regulations such as GDPR.
Course Structure
The program is structured into 13 courses covering essential and advanced topics in data analytics. These include:
- Leadership & Team Excellence
- Informed Decision Making and Strategy with Data
- Data Analysis & Infrastructure
- Python Programming
- Math & Statistics
- Experiment Design & Data Intuition
- Presenting Data & Visualization Fundamentals
- Introduction to Data Engineering
- Data Governance & Ethics
- Data-informed Organizations
- Business Intelligence
- Individual Project
- Industry Placement (Internship)
Learners will have the opportunity to work with real-world data, participate in hands-on projects, and complete a 28-week industry placement where they can apply their skills in professional environments.
How the Course is Taught and Assessed
The program is delivered through a mix of interactive lectures, practical workshops, and real-world projects. Teaching is designed to be experiential, with a strong emphasis on collaboration and industry application. Assessments are conducted through individual and group projects, written reports, presentations, and continuous feedback from instructors and industry mentors. The industry placement ensures that students graduate with the practical experience needed to excel in the field.
Practical Information
Location: Stockholm, Sweden
Duration: 90 weeks (63 weeks on-site + 27 weeks internship)
Format: Full-time, in-person
Tuition: Government-funded for Nordic students, or 242,000 SEK for international students
By the end of the program, graduates will be equipped to contribute to data-driven strategies in a variety of industries, including technology, finance, and marketing, and will be prepared to tackle the challenges of an increasingly data-centric world.
Course details
Venue
Stockholm
Deep tech fields
Artificial Intelligence & Machine Learning (including Big Data)
Country
Sweden
Course language
English
Course certification
Myndigheten för Yrkeshögskolan
Fee
Free course
Duration (hours)
3600
Certificate provided
Yes
Skills addressed
Data analysis; Data visualization; SQL querying; Python programming; Statistical analysis; A/B testing; Data governance; Business intelligence; Data pipeline development; Ethical data handling; Self-leadership; Team collaboration; Data storytelling; BI tools (Tableau, PowerBI); Data infrastructure management.
Course format
On-site
Target group
Undergraduate-level learners, Postgraduate-level learners, Professional development learners, Life-long learners
Quality check
Approved
Dates
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Course provider
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Ready to take the next step in your journey? Apply now and embark on a transformative learning experience. Whether you’re pursuing a passion or advancing your career, we’re here to help you succeed. Don’t wait any longer – seize the opportunity and apply today!