We’ve recently got a comment by asking, “How to Become a Data Analyst?” This is a question we get virtually every other day. We already have a guide to becoming a data analyst. But, here we’re giving you a step-by-step plan to become a successful one.
The level of interest and enthusiasm in the data analytics field is unsurprising, given that an increasing number of firms have begun to see the value of using data to drive business growth.
As the analytics sector in India has grown to $3.03 billion and is expected to double by the end of 2025, a job as a data analyst can be very busy and fulfilling.
Do you have a natural talent for problem-solving? Do you enjoy crunching numbers? Do you get energized by curiosity? Do you have a strong creative spirit? Perhaps you enjoy performing mathematical cartwheels on your fingertips.
Can you picture your analytical discoveries bringing in money for the company? If so, a career as a data analyst could be for you.
5 Steps Plan to become a Data Analyst
To learn how to become a data analyst is fundamentally the same as pursuing a career path in any industry: hard work, not talent, is directly proportional to success. However, many professionals still believe that a data analyst job function is industry-exclusive and limited to specialist personas such as math wizards, stat geeks, and prodigies!
These are some of the myths that frequently discourage people from pursuing a career as a data analyst. This essay will dispel all of these myths, and we hope that at the end of it, you will be able to devise a perfect plan for “how to become a data analyst.” So, let’s dive into the steps :
Step 1 – Data Analyst Education and Training Requirements
To become a data analyst, you should expect to need at least a Bachelor’s Degree, preferably in Information Technology, Computer Science, Maths, or Statistics. Some people, however, become data analysts while having only a solid core data analytics training.
This is frequently true for professionals who already have relevant industrial expertise as well as a high aptitude for math and statistics. Many data analysts go on to earn a master’s degree or a Ph.D. as they advance in their careers to senior executive and analytics management positions.
If you want to pursue a data analyst career, one might also follow non-traditional methods such as online accredited data analytics courses or boot camps. For example, eLearning providers such as Springboard provide a mentor-guided online data analytics course that can help you become a data analyst in 6 months.
Step 2 – Acquire Core Data Analyst Skills
As a fresh data analyst, you’ll need to have these vital analytics abilities under your belt if you want to click the “Apply” button for data analytics positions.
- Data analysts communicate with numbers, thus it stands to reason that math is a fundamental building stone for becoming a data analyst. To transform business problems into mathematical expressions, knowledge in linear algebra and multivariable calculus is required.
- Probability and statistics are fundamental skills for anyone aspiring to be a data analyst. To draw accurate conclusions, you must first determine the possibility of an event occurring, which is nothing more than a probability. Furthermore, in order to form inferences and analyze data, you must understand when and how to apply various statistical tests and methodologies.
- And Probability and statistics are fundamental skills for anyone aspiring to be a data analyst. To draw accurate conclusions, you must first determine the possibility of an event occurring, which is nothing more than a probability. Furthermore, in order to form inferences and analyze data, you must understand when and how to apply various statistical tests and methodologies.
This is not an entire list of data analyst talents to learn, but it does include the must-have abilities for a data analyst resume. When applying for data analytics jobs, these data analyst skills demonstrate that you have a solid foundation for success.
Step 3 – Gain Analytics Experience
Most data analyst employers want at least 3-5 years of experience in the IT industry or one or more years of related analytics experience. The easiest approach to get this experience is to apply for an analytics internship, even if the stipend is low because the experience you receive for data analytics positions is more valuable than the money.
Internships not only provide experience, but also a bird’s-eye view of what it takes to be a data analyst. Amazon, FedEx, NextDataScience, Decathlon, Vidooly, Payzello, Prizmatics, Wipro, and Accenture are some of the firms in India where you can apply for an analytics internship.
The next best thing you can do to obtain experience is to work on numerous data analysis projects that reflect your active interest in becoming a data analyst while also gaining experience.
Working on different data analysis projects allows you to have a more in-depth grasp of various data analysis tools and approaches. Putting these projects online allows you to build a portfolio of your practical work experience.
These initiatives will allow you to get valuable real-world experience while also garnering the attention of prospective employers.
Exploring diverse datasets available on data.gov or visiting Kaggle, which is home to over 25K datasets, is the best way to get started with data analysis projects.
Step 4 – Choose a Worthy Online Course
So, choosing a worthy and best online course is really difficult. There are 1000s of courses out there that are absolutely free but many of them will not be worth your time. So, here we’ve listed the top 3 Free courses which you can pursue to go ahead.
1. Intro to Data Analysis
If you want to make a name for yourself in the data science business, this course is an excellent place to start. You will gain a thorough understanding of the process of analyzing large datasets throughout the classes.
Learn to ask pertinent questions and make sound conclusions. Gain valuable hands-on experience by working with a variety of Python libraries such as NumPy, Matplotlib, and Pandas.
Why consider this course?
- Approx 6 weeks in-detailed course
- Interactive Quizzes.
- Engaging Instructors.
- Absolutely free!
2. Introduction to Data Analysis for Government
This top-rated instructional covers a wide range of topics, including several that are often missed. Use Excel software to work with examples based on public sector scenarios. Understand how biases cause us to become sidetracked and how to avoid them.
Finally, consider the distinctions between unstructured human-readable data and structured machine-comprehensible data.
Why consider this course?
- 18K+ Students Enrolled.
- 1hr+ Content.
- Expert Instructors.
- Absolutely free!
3. Introduction to Data Analysis using Excel
Microsoft brings you this month-long comprehensive certification to show you how to use the most popular features of Excel for data analysis. Learn how to create pivot tables, reports, summarise your findings, and, most importantly, generate useful insights. Try the many exercises to practice along with the demos in the lectures.
Why consider this course?
- 4 weeks detailed course.
- By Microsoft.
- Taught by industry experts.
- Absolutely free!
Step 5 – Get a Data Analytics Job
So you’ve finished with a relevant degree and have all of the necessary data analysis abilities. SQL queries may now be written to retrieve data, analyze data, and analyze customer behavior in order to gain valuable business insights.
In summary, you are now completely certain that you want to pursue a career as a data analyst. What comes next? You are nearing the end of your search and can now seek data analytics jobs with titles such as junior data analyst or entry-level data analyst that do not require real-world industry experience.
Starting your career in positions like these will allow you to hone your analytic abilities further under the supervision of a seasoned data analyst who is well-versed in the industry’s know-how.
Conclusion
Finally! You’ve completed the 5 steps master plan. We really hope you’ve liked it. The data analytics job is booming right now. Because every brand and business wants people’s data. They need data analysts to manage the data they’ve collected.
You can also become a high-paid data analyst. Just follow this step-by-step master plan. Choose your course and start now!
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