visionariesnetwork Team

10 April, 2025

data analytics and visualization

Nowadays, businesses rely on information to make smart choices. In finance and marketing, retail and healthcare, data analyst professionals are needed in nearly every industry. If you're curious about how to start data analyst career, you're not alone. Many people, even non-tech individuals, are now choosing this profession because it's in demand, flexible, and fulfilling.

Understand the Role of a Data Analyst

Before you begin, it is essential to know what a data analyst does. They mostly gather, tidy up, and analyze data to help companies make informed decisions. They use tools to discover patterns, trends, and insights within data and then present them in clear and easy-to-understand terms. This helps leaders address problems and create better strategies.

To succeed in this role, you need to be comfortable with numbers, be methodical, and have a keen eye for detail. If that is you, you're halfway there.

Start with the Right Path

One of the best first things you can do is enroll in a beginner's course in data analysis. These will cover the fundamentals, such as the manipulation of spreadsheets, data visualization, and programming in rudimentary tools like SQL or Python. Good choices for beginners are available on platforms like the popular Coursera, Udemy, and LinkedIn Learning.

These programs do not have any technical prerequisites, so they are ideal for students or career changers. Opt for one that has practical projects so that you can immediately apply what you learn.

Learn the Key Tools

If you are interested in advancing in this profession, you must know some basic tools. There is Excel or Google Sheets, which are used to sort and analyze small datasets. And there is SQL, a programming language used to manage and query data in databases. This is one of the basic skills required for most data analyst roles.

You must learn Python or R, which are used for advanced analysis and automation. Lastly, learn Tableau or Power BI, which are used to create charts and dashboards that enable data to be easily read. Knowing these tools enables you to work on real-world projects confidently.

Get Some Hands-on Experience Even at a beginner level, you can gain useful experience through small projects. Try working out free data from websites like Kaggle or Data.gov. You can help your friend's business, work for non-profit organizations, or do small freelance jobs online. Such projects send the message to future employers that you have learned how to apply your skills.

Another fantastic method is portfolio projects. Build three or four quick case studies where you pose a question, examine data, and share findings. Share them on LinkedIn or GitHub to get your online handle in front of others.

Earn a Certificate

If you wish to enhance your resume, apply for a data analyst certification. Two of the most popular ones are the Google Data Analytics Professional Certification and the IBM Data Analyst Certification. They have the basics in them and will guide you through learning paths.

Certificates show that you're dedicated to your career and can make your job search competitive. They're also a great way to obtain the most wanted skills from the professionals.

Apply for Jobs and Continue Learning

After learning the fundamentals and having some portfolio, start applying for junior roles. You can look for roles like Junior Data Analyst or Data Assistant. Although you might not meet all the qualifications of the job, apply anyway. Mention your learning process, showcase your projects, and highlight your eagerness to learn. Remember that the key to success here is learning constantly. Be inquisitive, challenge yourself, and continuously learn to do things better.

Final Thoughts

If you're still thinking about how to start data analyst career, the answer is simple: start now. Sign up for a beginner course, play around with data, get familiar with the essential tools, and build a portfolio. This career is within reach of anyone eager to learn—and with time and patience, you can build a thriving career in the world of data.