Data analysts collect raw data and use it to extract and interpret information that helps organisations make decisions or address problems. A data analyst can help identify trends and make forecasts that are used to make strategic business decisions.
Data science is still a young field but almost every sector of business is confronting an enormous growth in data and wants that data to be analysed and interpreted. It takes a data analyst to do this. Data is used in myriad of ways – from making investment decisions, to marketing, to risk assessment. The need for organisations to work with, store, and secure data is growing exponentially and alongside it the need for employees with the skills to do this.
According to an article in Investopedia, skilled data analysts are in great demand worldwide and because demand exceeds the supply of skills, entering this field almost guarantees a good salary, even without experience.
Within data analytics there are three fields - data analysis, data science and data engineering. Most data jobs fall into one of these three categories.
The difference between the three is as follows:
From investment banks to the healthcare industry to marketing firms, almost every industry you can think of needs data analysts.
The same Investopedia article reveals a range of roles that are on offer for those with the relevant qualifications and skills, including:
To be a successful data analyst you need a fundamental understanding of Big Data as well as skills to make statistical analyses and problem-solve.
The purpose of The IIE Post-Graduate Diploma in Data Analytics is to undertake advanced reflection by means of systemic thinking, practices and research methods in data analytics. The programme aims to further development of fundamental knowledge in Big Data, data visualisation, artificial intelligence (AI), machine learning (ML) and statistics.
On completion of the programme, graduates get the theoretical and technical skills in data analytics to inform business decisions and articulate into an appropriate Master's degree.
Since the aim of the qualification is to develop a data analyst equipped with theoretical, technical and practical knowledge, it is also important that graduates get a thorough grounding in statistical and mathematical fundamentals. The Statistical and Mathematical Analysis module l provides students with mathematical and statistical theory, concepts and practical knowledge which are required to interpret and interrogate data.
The IIE is South Africa’s largest registered and accredited private provider of higher education. At Varsity College, a brand of The IIE, we understand that no two students are the same or learn the same. That’s why we make sure a student’s education is shaped around them; how they like to learn, what they are passionate about, what makes them tick, and what makes them thrive. Our education by design approach allows students to grow into their best, and creates a space where they can live, learn and play - their way. To learn more about this IIE qualification click here .