Data analysis is one of the most demanded jobs in the world today. The use of data in problem-solving and decision-making is valuable in the promotion of a product and services Hence, the need for a data analyst.
In this article, we will explain the duties of a data analyst, the tools needed to become a data analyst, the skills needed to be a data analyst, and university courses that can prepare you to be a data analyst.
Who Is Data Analyst?
A data analyst collects, collates, sorts, analyses, and interprets data to provide solutions to a problem. Data are information on various subjects like age, gender, geographical areas, product interest, etc. There is no limit to their scope of work as they are an important member of an organization. With an understanding of the company’s data, a data analyst can determine the needs and preferences of a product audience. The duties of a data analyst are:
- Data Collation: Data analysts use Surveys, interviews, online tracking, transaction tracking, and social media monitoring to collect and collate data.
- Data sorting: To use the right data, a data analyst sorts the raw data by removing duplicated information or errors. This is done to retain the quality of the data and avoid a wrong result.
- Data modeling: This involves the designing of a database structure and determining how data are collected and stored for use.
- Data interpretation: by identifying similar trends and patterns, data analysts can Interpret the data and how it can be used for productivity.
- Data presentation: A Data analyst communicates the outcome of the data by using graphs, written reports, and charts and presenting information to interested parties.
5 University Courses That Could Put You On The Path To Becoming A Data Analyst
Here are 5 courses that you can learn at the university to build a foundation in Data analysis:
Computer science
This course teaches about the computer and all its components. It explains the interrelationship between software and hardware, how they are developed and designed, and their functions in computers. In this course, you will learn website design, graphic design, coding, mathematical algorithms, programming languages, and software development. All these topics are foundational in learning data analysis.
Mathematics
This is a problem-solving course through the use of figures and symbols. It is the study of the application of formulas in calculating and solving numerical sets and quantities. A degree in mathematics equips you with the knowledge of the application of mathematics in science and technology. Topics like software applications, introductory statistics, elementary mathematics, abstract algebra, philosophy and logic, real and complex analysis, and other mathematical-related topics, would be taught in the course.
Economics
This is the study of how the economy works, issues that affect the economy and finance, the allocation of resources, and the production, distribution, and analysis of products and services. Economics works with statistical information or data to figure out the problem affecting a business or the economy and the solutions to fixing it. Topics that are covered in economics are Managerial and industrial economics, International trade, introduction to management, business economics, and the economic problem of Nigeria, etc.
Statistics
This course summarizes the whole essence of a data analyst. Statistics deals with collating, organizing, interpreting, analyzing, and the presentation of data sets both in large and small quantities. In this course, you will learn the application of different analytical tools. Topics that will be learned in this course are Data sampling, probability distribution, Qualitative and quantitative data, and Data collation methods. Etc.
Information Technology
IT helps to compile, store, exchange, and protects electronic data through the use of computers, physical device, and cloud storage. The course teaches you how to optimize, monitor, and secure information. It explores topics like Data management, cloud computing, data support and operations, Data security, and Networking.
Essential Tools You Need As A Data Analyst
The tools needed to be a data analyst are:
- Microsoft Excel
- Machine learning
- Tableau
- Microsoft Power BI
- Google Analytics
- SQL
- R or Python
- Jupyter Notebooks
- Algebra or Calculus
- Matlab
The soft skills needed to be a data analyst are:
- Critical thinking
- Teamwork
- Fast coder
- Storytelling
- Decision making
How To Become A Data Analyst
To become a data analyst, you need to
Take a course
Learn everything you need to know on data analysis, by taking up courses online or attending an online boot camp. Through the learning process, you get to meet professionals, who will mentor you.
Get a foundational degree
Data analysis mostly works with figures, courses like statistics, and mathematics are a good start to your data analysis career. You can also get a degree in computer science. However, you do not have to have a degree in this course or any other courses before you can become a data analyst. You can take online courses on your own and learn.
Learn a programming Language
It is not compulsory to learn how to code before you can be a data analyst. But if you learn coding, it gives you an advantage. Pick a programming language and learn how to use it. Examples of this programming language are Python, SQL, and so on
Build your Portfolio
A strong portfolio reflects your skillset and your level of experience. To build your portfolio, engage in volunteering roles, freelance on projects, or DIY a project yourself. You can pick a data set on Data.gov and Datahub.io. Using a data set on your niche is helpful for easy analysis with methods you are familiar with. You can also consider an internship for the opportunity on real projects to improve your analytical set and make connections.
Build your network
A good network gives you easy access to opportunities. Find a mentor, and develop a cordial relationship with experienced professionals. Be visible on social media platforms with your works and follow platforms that share information on Data analysis. Follow all these steps to build up yourself and follow the path to being a Data analyst.
