5 Steps to Get Started in Business Analytics Without a Math or Coding Background (2024)

Tuesday, August 06, 2019 | 12:00 AM

5 Steps to Get Started in Business Analytics Without a Math or Coding Background (1)

It’s being collected everywhere - at your workplace, on your smartphone, in your internet browser, from your credit card transactions.

It’s data. In our connected digital world, data is gathered at almost every touch point between individuals and businesses. Data is also generated internally by businesses - from budgets, profits, and losses to employee retention rates, client satisfaction scores, and key performance indicators (KPIs).

With so much data available, businesses are struggling to understand how it can be used to their advantage. Fortunately, business analysts can help companies compete on the global stage by discovering what useful information is hidden in their data.

What is business analytics?

Business analytics is using an organization’s data to solve business problems and help make immediate, strategic business decisions.

People trained as business analysts use statistics to uncover trends and insights from company data and enable business leaders to make informed, data-driven decisions that fuel growth, improve processes, and increase profits.

Business analysts provide insight into past business performance and help predict future performance to make practical recommendations for improved efficiency and better business outcomes. As a business analyst, you are critical to a company’s day-to-day decision-making process.

Contrary to popular belief, business analytics does not involve extensive coding, math, or knowledge of computer science. It’s a great career fit for those who enjoy solving complex problems and offering practical conclusions based on real business data.


How do I become a business analyst?

Business analysts come from a variety of backgrounds, including management, finance, IT, healthcare, and sales & marketing. Some studied business analytics or statistics as an undergraduate, but a relevant bachelor’s degree is not necessary to enter this career track.

To get started as a business analyst without a math or coding background, follow these steps:


  1. Get excited about business analytics

The first step to becoming a business analyst is to get excited about the limitless potential of your new field. Learn more about what business analysts do and the expectations for the role by researching job descriptions on LinkedIn and salary ranges on payscale.com or Glassdoor.

Different companies have slightly different job descriptions for business analysts, so also begin to understand the vocabulary that is associated with the field.


  1. Apply for a Master of Science in Business Analytics program

Without a math or statistics background, a master’s degree is the best way for you to learn and practice exactly the skills you need to get started in the field. You’ll be able to stay focused on learning the necessary statistical analyses and software without becoming overwhelmed by coding that may be beyond the scope needed for a typical business analyst.

A master’s program in business analytics empowers people from any background to learn statistical analysis, predictive analytics, data visualization, and effective communication to provide clear and actionable recommendations to business leaders.

Many of the best schools have recognized that business analytics is an emerging and highly in-demand field. They’ve created rigorous master’s programs that prepare students to fill the open positions.

With different options available, choose the program that’s right for you. Schools now offer affordable, 100% online business analytics degrees that allow you to have a flexible study schedule while continuing to work at your part-time or full-time job.

After you’re admitted to a business analytics program, make sure to enroll and commit to your better future.


  1. Build your knowledge foundation

While you’re waiting to start classes as a graduate student, get a head start on understanding the basics of statistics and statistical software, such as R and SAS, especially if you don’t have a background in math, coding, or statistics.

Although a master’s program will incorporate introductory courses, you can still build a stronger foundation and get to know some of the software tools and statistical methods you’ll use before beginning your program.

According to Jerald Hughes, Ph.D., Chair of the Department of Information Systems at the University of Texas Rio Grande Valley, this is a fantastic strategy to feel more prepared and less anxious about starting a master’s degree in a new area of study. Enroll in short, massive open online courses (MOOCs) that are free or low-cost through platforms like Codecademy, edX, Khan Academy, and Coursera.


  1. Be a good student

Once you begin your graduate program in business analytics, set yourself up for success with the classic good habits of a successful student:

  • Communicate with your instructors and fellow students when you have questions or need help. They are your most valuable resources for knowledge and support.
  • Dedicate blocks of time in a quiet place to study and complete your assignments.
  • Divide your workload into smaller pieces to make life more manageable.
  • Get at least 8 hours of sleep each night and maintain a consistent sleep schedule.
  • Start assignments as soon as possible. Don’t wait until the last minute and panic while completing subpar work that you’re not proud of.

Most importantly, treat your education like it’s job training (which it is) instead of like classes that someone forced you to complete against your will. You are in control of your career path, and the effort you put in to building your skill set will be directly reflected in the career opportunities that open up after you receive your diploma.


  1. Apply for that job

By following these steps, you can begin your career in business analytics without a background in math or coding. The final step is, of course, to apply for business analytics jobs and showcase your new skill set.

From small startups to multinational corporations, companies in healthcare, software development, manufacturing, finance, education, and other industries are looking to hire you as a business analyst to help interpret their data and make better business decisions.

Learn more about the 100% online Master of Science in Business Analytics from the University of Texas Rio Grande Valley

Have a question or concern about this article? Please contact us.

5 Steps to Get Started in Business Analytics Without a Math or Coding Background (2024)

FAQs

Can I do business analytics without coding? ›

Do I need coding or technical skills to become a business analyst? No, you don't need coding or technical skills to become a business analyst.

What are the 7 steps of the business analytics process? ›

Steps in Business Analytics Process
  • Step 1: Define Business Needs. ...
  • Step 2: Data Exploration and Preparation. ...
  • Step 3: Data Analysis. ...
  • Step 4: Predictive Modeling. ...
  • Step 5: Solution Optimization. ...
  • Step 6: Decision Making and Outcome Measurement. ...
  • Step 7: Systematic Update and Continuous Improvement.

Is there a lot of math in business analytics? ›

Business analytics is deeply rooted in mathematics. Students earning a bachelor's degree in this field typically see courses like macroeconomics, math for business analytics, microeconomics, and finance.

How hard is business analytics? ›

In summary, business analytics can be challenging, but whether or not it is "hard" depends on an individual's background, skills, and experience. With dedication and effort, individuals can overcome challenges and develop the skills and knowledge necessary to succeed in the field of business analytics.

What are the 5 stages of business analysis? ›

This process includes five steps: reviewing processes, collecting data, analyzing processes, identifying opportunities for improvement, and making changes.

What is the first stage of business analytics? ›

Descriptive Analytics

The first phase of business analytics involves gathering, organizing, and describing the characteristics of the data being studied.

What are the 4 methods of business analytics? ›

Expertise in business analytics is essential if you want to use the information at your fingertips to help you make smarter business decisions. The four forms of analytics—descriptive, diagnostic, predictive, and prescriptive—help organizations get the most from their data.

What is the lowest salary of business analyst? ›

Average Annual Salary
  • ₹ 3.0L (lowest)
  • ₹ 9.7L (average)
  • ₹ 17.0L (highest)

How do I become a business analyst from scratch? ›

How to become a business analyst
  1. Sharpen your business analyst skills. Here are some skills you'll typically want to have as a business analyst. ...
  2. Take a course. ...
  3. Earn a business analyst certification. ...
  4. Consider a degree. ...
  5. Start with an entry-level role.
May 14, 2024

What does a beginner business analyst do? ›

Entry Level Business Analysts are the bridge between business problems and the technology solutions that can resolve them. They gather and analyze data, understand business processes, and articulate requirements to ensure that proposed solutions meet organizational needs.

Does a business analyst require coding? ›

Business analyst may survive without the programming knowledge, But due to rising job competition and business needs, one must gain a fundamental understanding of how coding functions.

Can a non programmer become business analyst? ›

Programming or database skills won't be strictly necessary for a business analyst position, but if you already have them, they will be useful. The type of software and tools you will need to use will depend on your job title and what the organization requires.

Can you do data analytics without coding? ›

Do Data Analysts Code? Some Data Analysts do have to code as part of their day-to-day work, but coding skills are not typically required for jobs in data analysis.

Do we need coding for analytics? ›

Coding is essential for Data Analysts to manipulate, clean, and analyse data efficiently. Programming languages such as Python, R, SQL, and others are widely used in Data Analytics. With coding skills, Data Analysts can automate repetitive tasks, develop custom algorithms, and implement complex statistical analyses.

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