How to become a Data Analyst? – Step by Step Complete Guide

To become a data analyst, you must possess certain data analysis abilities along with finishing a few tasks. In this article on how to become a data analyst, we will provide you with an in-depth overview of what you must do to become data analyst, the requirements for a data analyst, and get you one step closer to realizing your dream of being a data analyst.

A data analyst collects and analyzes lots of data. Whether a business is big or small, it creates and gathers a lot of different information like customer feedback, accounts, logistics, marketing research, Sales Reports, Profit and Loss reports, employee datasheet, expense reports, and more.

How to Become Data Analyst? Step by Step guide

Let’s delve into a step-by-step guide on how to be a data analyst.

Becoming a data analyst involves different steps, including educational qualification, Skill Development, and practical Experience. Here is one way to get started if you’re thinking about pursuing a career in this extremely rare Data Analyst industry.

1.) Educational Background

Data analysis requires a bachelor’s degree in statistics, mathematics, computer science, information technology, and economics.

2.) Develop Skills

Improve your ability in analytical and quantitative skills. Get knowledge of statistical analysis, data manipulation, and data visualization. Learn programming languages commonly used in data analysis, like Python or R. Develop proficiency in utilizing data analysis tools and software such as SQL Excel and data visualization tools like Tableau or Power BI. Enroll yourself in a data analyst course to improve your skills.

3.) Gain practical experience

The most important part of becoming a data analyst is to gain practical experience. Develop a portfolio that showcases all your skills and projects related to data analysis and is also involved in personal or collaborative data analysis initiatives.

Try to grab internship opportunities that add an extra edge to your portfolio. These experiences provide valuable exposure and networking opportunities.

4.) Online Certifications

Different online certifications are available in data analysis tools like Power BI, Tableau, Apache, etc. Try to find out about the certifications of online platforms like Kochiva.

Also, Explore more advanced data analysis tools and libraries, such as Pandas, NumPy, scikit-learn (Python), or dplyr, tidyr (R), to improve your analytical capabilities.

Work on big data technologies like Hadoop and Spark, as dealing with large datasets is a crucial aspect of data analysis.

5.) Update yourself

Keep updating yourself with the latest tools and techniques used for data analysis. Data analysis is a rapidly developing field, and it is important to stay updated with the latest trends and tools by reading blogs, joining online webinars, reading articles, etc.

6.) Apply for entry-level roles

The field of data analysis provides huge opportunities for business analysts, data analysts, sales analysts, data scientists, marketing analysts, data architects, and much more.

Try to find entry-level job roles on different platforms and submit your application. Also, get ready to display your portfolio, discuss your skills and past experiences, and express your passion for the field in interviews.

Career as Data Analyst

The demand for data analysts is at an all-time high. According to a report, there are 10 million job openings for data analysts by 2026. Almost all kinds of businesses are undergoing digital transformation, which is why they are generating huge amounts of data.

They must learn how to manage, process, or use it properly. That is why almost every company wants a data analyst who can process the data for them to generate useful results that benefit their business.

Starting career as a data analyst can be the best choice for these reasons –

1- High Salary Hike

2- Heavy Demand in the market

3- Large number of opportunities

4- Easy to learn

How Long Does it Take to Become a Data Analyst

How long it takes to learn data analysis can be different for everyone. It depends on things like what you already know, how much you want to understand, and the learning materials you use.

Previous Experience: If you already know about mathematics, statistics, or computer science, you’re in a good position. Moreover, if you want to become a data analyst with no experience, first familiarize yourself with programming languages like Python or R can also help.

Learning Materials: The quality of what you’re using to learn matters. Taking a structured course might be faster than trying to learn on your own from different sources.

Time You Spend: How much time you can spend learning each day or week is important. If you study full-time, you might learn faster than if you’re studying part-time.

Practice with Projects: Doing actual data analysis projects is a great way to learn and start your journey of becoming a data analyst. It lets you use what you know and get better at it. The more you practice, the more skilled you become.

Connecting with Others: Talking to people in the field, joining online groups, and working on projects can improve your learning. It gives you more insights and helps you learn from different perspectives.

How to Become a Data Analyst Without a Degree

If you want to become a data analyst without a degree, concentrate on studying courses related to data analytics to improve your skills. Create a portfolio that showcases your best work in data analytics.

Getting a Professional Certificate from a recognized institute can prove to employers that you have the necessary training for the job role of DA or BA.

Data Analyst Salary

According to Glassdoor, the average salary of a data analyst in India is around 4 lakh to 10 lakh per annum, even as a fresher.

Average pay in India

In today’s world, there is a huge demand for data analysts as companies hire experts capable of managing their data proficiently.

Top product-based companies offering positions for data analysts include Amazon, Microsoft, Capital One, Walmart, PayPal, Google, Facebook, Twitter, Bloomberg, and Apple, among others.

How Can Kochiva Help You?

Our Data Analyst course is a wonderful place to start. The course will cover Fundamentals to Data Analytics, Business Analytics using Excel, Tableau training, and Power BI. Additionally, you will study Python and R programming basics as well as data analytics.

And at the end of your course, you will work on your project. With our assistance, you will become a DA.

Conclusion

Becoming a data analyst means combining learning, skill-building, and hands-on experience while keeping up with changes in data analysis. Start with a solid statistics or computer science education by completing a bachelor’s degree. After that, focus on learning programming languages like Python or R. Improve your skills in tools for visualizing data, and understanding statistics.