Is Data Analytics Hard?

There’s nothing better than settling into a role that you know has plenty of growth potential and job security. The technology industry is known for it’s in-demand high-paying jobs and for allowing professionals the opportunity to work on engaging projects.

One of the most notable roles in this industry is a data analyst. It’s not uncommon for people to overlook this role due to believing it’s too difficult.

The truth is positions in the data analytics space are often different than people anticipate. So, is data analytics hard? Let’s explore the answer below.

What Is Data Analytics?

This is the science of analyzing raw data and using this information to make conclusions. It allows companies to maximize their performance and better understand their audiences.

It also helps researchers sift through large amounts of information. Many data analytics processes have been automated, allowing humans to focus on the most important inputs.

This also minimizes the chance of human error. There are various forms of data analytics to keep in mind before you move forward.

Descriptive Analytics

As the name implies, this form of data analytics describes an occurrence. It aims to offer insight into why something happened.

With this information, various actions can be taken. For example, a business owner might want to understand why their sales over the last quarter sharply declined.

Predictive Analytics

When using predictive analytics, you aim to predict something that’s going to happen. This isn’t a blind guess, and it uses key data to substantiate.

When handled correctly, predictive analytics can offer powerful insight into important events. There’s no shortage of opportunities to use this type of data analysis, such as analyzing commodity prices to determine when you should invest.

Prescriptive Analytics

Sometimes, you don’t need to understand why something happened or predict what might occur. Instead, you might need to know what you should do next.

Prescriptive analytics aims to determine the best course of action based on relevant information. Without this process, businesses would be taking enormous risks with the decisions they make.

A common scenario is when a company intends to introduce a new product. Let’s assume they aren’t sure how their audience will react to its functionality and price point.

If they don’t have prescriptive analytics information on hand, they have to roll the dice and hope for the best. Prescriptive analytics can ensure they get the right results, such as far exceeding their financial projections.

Can I Learn Data Analysis on My Own?

With enough diligence, it’s possible to reach data analysis yourself. Learning this information might seem intimidating at first, but it’s much more manageable than most people believe.

Since you’ll be pursuing entry-level positions in data analysis, you don’t have to have comprehensive knowledge of this topic. For instance, you can learn the relevant info you need to know about structured query language (SQL) in a few weeks with enough diligence.

You can learn the basics about programming languages like Python in less than two months. However, it’s essential to use the right resources. Look for reputable places where you can learn the relevant info so you stay on the right path.

Keep in mind that learning occurs when your brain has time to process the information you studied. Don’t feel discouraged if you have trouble understanding topics at first. Once you step away from the material, you’ll likely find that you remember more than you initially expected.

How Long Does It Take?

This will depend on various factors, such as how many hours per week you’re able to allocate toward studying. It also depends on how strong your background is in the relevant topics.

For instance, someone who’s taken programming courses in the past would have an easier time picking up Python when preparing for a data analysis role. In general, you should allocate at least a few months to learning about data analysis.

It’s possible to learn the required info in around half the time if you’re diligent. This is the recommended course of action if you’re looking to become a data analyst as soon as possible. Don’t be afraid to put your learning on pause if other obligations in your life arise. You can always pick up where you left off.

Is Data Analytics Hard?

There is no universal answer to this question. For some people, data analytics might be a difficult way to start their technology career.

This depends on whether they have a natural inclination to understand industry-related topics. For example, someone who loves working with numbers would likely have no trouble becoming a data analyst.

This doesn’t mean that it’s impossible for other people, though. With enough diligence and preparation, almost anyone can succeed in this career path. If you find data analytics challenging at the beginning, dedicate time to expanding your knowledge.

Don’t be afraid to ask a superior how you can improve your skills. Some people neglect to do so out of fear of appearing unknowledgeable.

However, it will illustrate that you’re proactive about achieving success. As long as you take your responsibilities seriously, you’ll find that data analytics is easier than anticipated.

Becoming a Data Analyst

There are certain steps you need to take before you can become a data analyst. These will help ensure you have the required knowledge and can separate you from other applicants. Let’s explore them in detail below.

Attend a Bootcamp

You don’t need a college degree to pursue a data analytics position. While it’s possible to go to college and land a role in the industry, it’s not always the best option. Student loans for this career path are often substantial.

You might also find that the program to enroll in doesn’t meet your needs as a student. Instead, it’s recommended to pursue a bootcamp. This is a flexible curriculum that you can tackle at your own pace.

People looking to break into the industry as soon as possible can devote dozens of hours per week to their education. Someone who’s in no rush can take things much slower.

When searching for a bootcamp, look into its past reputation. There should be no shortage of positive feedback from other students. Coding Temple has a large number of student testimonials you can learn from.

These provide key details about their experience with our services and how they were able to progress in their careers. You should also consider their pricing. Not all bootcamps are created equal, and you should avoid ones that are much cheaper than the others you find.

This could indicate they don’t provide adequate information. However, you don’t have to spend as much money as possible.

There’s a point of diminishing returns regarding what you budget for. Instead, look for a bootcamp in the middle of the industry’s price range. This can help you meet your goals without stretching your budget.

Coding Temple proudly offers one of the best data analytics bootcamps in the industry. We also strive to help each of our students find work after graduation. In some cases, we’ll waive your tuition if you aren’t able to find a job.

Refine Your Resume

After you complete your boot camp and hone your data analytic skills, you can update your resume and tailor your cover letter to the position you are applying for. Don’t rush through this process, as it could impact your ability to land a role.

To clarify, hiring managers often use software to screen out applicants whose resumes don’t contain certain information. They might also overlook your application if your cover letter isn’t compelling.

Consider working with a professional to help you with your resume and cover letter. This will help ensure you get started on the right track.

Apply for Jobs

Once you’ve handled your cover letter and resume, you can start applying for jobs. Don’t be afraid to apply for positions you don’t think you’re qualified for.

Companies often hire employees based on their future value to the business. Even though they list a large amount of criteria, they may make an exception for someone who seems promising.

Before your interview, make a mental note of the answers you should give to potential questions. The last thing you want is to be caught off guard when your interviewer asks you something like “Why do you want to be a data analyst?” With enough vigilance and preparation, you shouldn’t have trouble showcasing why you’d be a great asset to the company.

Stay Confident on Your Journey

This career path isn’t as complicated as most people believe at first. The answer in this guide to “Is data analytics hard?” will help ensure you make the most appropriate decision for your needs. From here, you shouldn’t have an issue reaching your goals.

Coding Temple helps our students hone their tech skills and take their careers in the industry to new heights. We even allow our students to defer their payments until they find a job. You’ll learn more about the many benefits we offer when you apply to our data analytics program today.