Data analysts have become increasingly important during the digital age. Work with data analysis and take on a key role in industries ranging from finance to marketing.
Skilled data analysts are some of the most sought-after professionals in today's labour market. Data analysts have a dynamic skill set, as they are both good at working with numbers and data programs, as well as having strong visual and oral presentation skills. Many industries today have a very high demand for this kind of expertise, and data analysts have a presence in everything from finance, to medicine, to marketing and social media.
A data analyst collects, organizes, and interprets data to give actionable insights for the company or organization they work for. The purpose of data analysis is to answer specific questions that present valuable information for the organization. Working as a data analyst, you will conduct various types of analysis, ranging from descriptive and diagnostic analysis, which tells us what has happened and why, to predictive and prescriptive analysis, telling us what will happen in the future and what actions the company or organization should take.
As data analysts, we are the link between the data and the business, and their ability to make data-driven strategic decisions.Malin Eriksen Birkelund, Atea Analytics
Data analysts have a quintessential portfolio in every modern company ecology. Their ability to guide business leaders to making informed decisions using relevant and up to date information, based on real world data, make them a highly desired addition to every managerial team. Effective data analysis can isolate workflow bottlenecks, reduce operational costs, solve overarching problems, and identify inefficient processes.
The programme incorporates theoretical knowledge, practical skills, and technical competency, to create a balanced learning experience crucial for the development of the data analyst aptitude. You will acquire first hand training in fundamental data identification skills along with accompanying theory.
Data Visualization is a hot topic right now, and deals with being able to convert raw data to easily understandable graphics, to communicate this to boards and CEOs who may not have the technical expertise to understand raw data and numbers.
The programme focuses on strong theoretical understanding of analytical models accompanied by practical implementations using industry standard tools, such as Microsoft Excel, Google Spreadsheets, and related technologies. Once the foundation is laid, you will be engaged with how data is collected, stored, organized, analyzed, interpreted, visualized and reported.
Data analysis techniques will be practiced using proxy data sets which will immediately engage your ability to address business oriented problem areas such as operational management, sales, finances, marketing, and even human resources. Finally, the course will cover bleeding-edge data storage, analytic and visualization tools. You will be introduced to online cloud based databases, to enrich your practical skills with industry-desired qualities.
Courses in Data Analyst, one year program:
After graduation the candidates possess the following learning outcomes:
The Candidate...
We recommend the following:
500 GB Hard drive (or 250 GB + cloud storage: fx. Dropbox, OneDrive, Google Drive (recommended).
8 GB RAM.
Microsoft Excel (desktop version)
Core i5 processor.
Both PC and Mac are applicable.
Data analytics offers a wide variety of opportunities across industries and corporate levels. They are vital assets to any company, whether it be large international companies with big data, or fledgling small businesses with monthly sale figures that need to be organized and modelled. Many candidates combine data analysis with other fields of interest that makes use of data. This opens doors to fields such as information science, financial advisory, operational management, medicine, criminal justice, computer engineering, and marketing, to name a few.
Many students are job-ready after this one year programme. If you wish to become an even more employable data analyst – with advanced skills in databases, cloud services, programmatic data analysis, big data and other advanced topics – you can apply directly into the second year of the two-year Data Analyst programme.
We recommend watching the latest livestream on Data Analyst, hosted by Bertram Haskins and Jessie Rudd 15 March 2023.
| Startups: |
October 17, 2023 |
| Application deadline: | Ongoing admissions |
| Duration: | 1 year full time 2 years part time |
| Programme language: | English |
| Tuition online: |
EUR 4.200,- per semester full time |
| Accreditations: | Approved for loans and grants from the State Educational Loan Fund. NOKUT accredited. |
| Admission requirements: | Admission by formal competence or admission by prior learning. Read more. |
| Degree: | Professional Degree |
| Credits: | 60 ECVET |
Cybersecurity threats are on the rise, creating a high demand for digital forensic professionals.
– We are the first to offer a bachelor's degree that specifically focuses on this expertise, which is predicted to be one of the fastest-growing job sectors worldwide, says Professor Johan van Niekerk.
The bachelor student is looking forward to enhancing his skills in data analysis and visualization through the summer at HMH.
