Data Analyst

Discover how to gather, analyse and draw relevant conclusions from data to support decision makers in making better, smarter business decisions.

Overview

Meet industry needs today and tomorrow

The Data Analyst program is designed to help you learn to gather, analyse and draw relevant conclusions from data. You will discover how to support decision makers in making better, smarter business decisions. You will explore where valuable data can be sourced, both in internal and external systems, and will be challenged to draw insights from – and critically assess – hard data.

The content of this program has been designed to meet the needs of today’s industry and is delivered by experienced professionals. You’ll be challenged to create solutions to real-world problems through idea generation and business transformation.

Study mode
Full time, 80 weeks (2 years), of which 27 weeks are an industry placement.
Location: Hyper Island campus in Stockholm, Sweden.
The course is delivered in English.

Methodology

Hyper Island methodology focuses on the ‘why’ as much as the ‘how’ and the ‘what’. We emphasize team collaboration over individual effort and we encourage students to grow both personally and professionally.

At Hyper Island, we strive to create learning experiences that reflect real-world workplaces, where you learn while working with real clients, coached by industry professionals. You will share knowledge with other students as well as learning on your own. Our program leaders will introduce new ways of thinking and learning for students to develop into lifelong learners.

You will discover how to use learning-by-doing and reflection as active learning tools. Through regular feedback you will practice self-leadership, enhancing your ability to work effectively both as a team member and leader. You’ll learn to create and run effective teams, navigate group dynamics and develop your skills in project management and leadership.

Your diploma 
This program is accredited by the Swedish National Agency for Higher Vocational Education (Myndigheten för Yrkeshögskola). Graduates receive a diploma in Higher Vocational Education (HVE). International students graduating from the program receive a non-accredited diploma of successful completion from Hyper Island.

Requirements

Successful applicants need to have a high school diploma (“Gymnasieexamen”) or foreign equivalent as well as the Swedish Highschool course “Math 2” or equivalent knowledge gained from high school, higher education, or through previous practical experience.

Nordic student? No program fee
It is possible to apply for one of the government-funded seats available each year if you have legal residency (regardless of nationality or citizenship) in Sweden, Norway, Denmark, Finland, Iceland or Faroe Islands. To be recognized as a Nordic applicant, you need to have a legal residency in one of the above mentioned countries and a personal ID number from any of the Nordic countries at the time of your application.

International students
For international and fee-paying students the program fee is 205,000 SEK.

Program courses

What you will learn

PROJECT 1 - Foundation Weeks

Introduction to a number of tools that will support the continuation of all other projects and courses of the program. Tools about personal development, group development, leadership and idea development are introduced and worked within a practical manner. Current global and emerging trends in the digital industry are explored.

PROJECT 2 - ​Data​ ​Landscape

The students will get to explore the wonderful world of data and its landscape. What is data? What roles are there and what can you do with data? In this project the students will get a crash course of the broad aspects of business and how data and technology are transforming the way business is being done as well as talk about big data and small data. They will also look into ethical and legal aspects of working with data collection.

PROJECT 3 - ​Tools and Programming Languages

In this project the students will learn the basics of a number of tools and programming languages to extract and process data from databases and other data sources. Included in this project is an introduction to statistics that covers descriptive statistics, A / B Test analysis models and basic probability theory. In addition they will look into data collection, statistical surveys and decision theory. An overview of the programming languages R and Python are introduced, as well as SQL and Excel.

PROJECT 4 - ​ ​Data Crunch and Visualization

In this project the students will learn how data is processed, sorted and structured. The project includes data cleaning, blending, transforming, formatting relational databases (SQL). Students will also familiarize themselves with data visualization tools. Many companies use data visualization programs to build dashboards to measure different key figures and students will learn to present data in compelling ways.

PROJECT 5 - Qualitative Data vs. Quantitative Data

The students will learn the fundamental distinction between two types of data, qualitative and quantitative, to come with more insightful answers and targeted approach on how to answer key questions. Many questions can be answered by looking at data alone – but in many cases you need the bigger picture with interviews and qualitative feedback from users/members/customers to get the full picture.

PROJECT 6 - Maths and Statistics

In this project the students will dive deeper into the underlying mathematics needed to understand and work successfully with statistical applications to master data analysis on a more advanced level. Statistical theory will be explored further in-depth focusing on applied statistical methods such as regression analysis, hypothesis tests and significance tests in a business environment. Planning and implementation of statistical surveys will also be covered including for example question formulation and survey design. Students will also learn the basics of SQL covering functions, manipulation of data, and data modelling.

PROJECT 7 - Presenting Data and Myself

Data visualisation and presentations skills goes hand in hand. In this project, students deepen their knowledge of how to analyze and draw conclusions from data and how to create effective presentations, including data visualisation adapted to the audience. Behavioral economics and how they can be applied to shape the design to increase conversion will be explored as well as how to form design hypotheses and measure their validity.
Understanding visual aids, communication, presentation technique and how to talk about yourself and data, in order to be able to present and convince with data, is also included.

PROJECT 8 - Business Intelligence Solutions and Analytics 

Business intelligence software is designed to help companies make strategic business decisions based on hard data and can automate much of the retrieval, analysis, and reporting process. In this project the student will get an overview of different business intelligence solutions, like Tableau, PowerBI, QlikSence or similar. They will also get an understanding of what Business Intelligence and analytics are, and look into current trends.

PROJECT 9 - Experience Design and Data Intuition 

The core of this project is to explore different forms of experiment design such as A/B tests and SMART experiments. The students will be responsible for all aspects of creating a statistical survey in the best way and use experiments to create insights and support for data analysis while being challenged in their team development and leadership knowledge, skills and competencies. The section on data intuition allows for students to learn to ask the right questions and understand the driving forces behind certain data issues as well as understand varying industries differences and commonalities.

PROJECT 10 - Data Driven Organisations and Data Trends

In this project the students will explore how to set up an organization or team to become data
driven.
Examples of such activities include:
– Setting goals and identifying KPIs to drive a business strategy
– Facilitate workshops to explore challenges and opportunities
– Develop and / or verify business ideas using data
– Understanding and supporting an organisation with change management.
In this project students can also explore a variation of current trends such as geographical data, data from mobile applications, AI and machine learning.

PROJECT 11 - Exploring Data

The students will get to create outside the norm and challenge what they can do with data, using and stretching all they have learned up to this point. The possibilities are endless. Hands-on creation, testing the limits and insights of the creative process as well as collaboration with team members with a different skillset.

PROJECT 12 - Individual Project

The student will drive a project of their own choosing and turn their ideas into reality. During this project, the student will use the abilities they have learned so far to practice, deepen, and show their understanding of the digital industry and the role of a Data Analyst.

PROJECT 13 - Industrial Placement 

Industrial Placement shall provide the students with opportunities to develop a deeperunderstanding in their field of specialization by being in a professional environment under the guidance of industry professionals. Last week of Industrial Placement students gather at school and focuses on presenting and sharing gained knowledge, skills and competence as well as evaluating their full learning journey of the program.

Career & Key skills

Careers

By the time you graduated from the Data Analyst program, you will have studied ways to identify, analyse and present statistical data with common statistical methods and tools. You will be able to apply knowledge about tools and techniques within statistical and data analysis to process data, suggest changes to a company or client’s business and communication strategy based on analysis of data, and be able to make clear important insights about an operation or activity through analysis of data.

Graduates go on to work in business, service- and product development, project management, technology, web startups and creative agencies. This program is built on current market needs. You’ll have a great experience and will be well-positioned to find a job when you are done. Several companies have committed to hiring students from this program for roles such as:

  • Data Analyst
  • Digital Data Strategist
  • Marketing Specialist
  • Conversion Specialist
  • Marketing Strategist
Stockholm campus

Campus

Our biggest school and the global head office is located in Stockholm, in Hammarby Sjöstad, close to the water in a brand new building, designed for our needs. Every year the school welcomes over 320 full-time students across 7 different programs.