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Is Data Analyst So Difficult? Get Started In 2022 !

mobius guyMarch 17, 2022

252 5 minutes read

Data analyst course Malaysia has been one of the most prominent disciplines in information technology (IT) during the last decade. But data analytics is not without its hurdles, placing experts in the subject in high demand. So, how difficult is data analytics?

While not simple, it is not difficult to learn and master if done correctly from the start. Data analytics jobs are among the highest-paying jobs globally. According to Indeed, the typical US data analyst pay is $64,756.

So your efforts to study data analytics will ultimately pay off—and pay off nicely.

What Is Data Analytics?

Data analytics is the collection, analysis, and interpretation of data to help organisations improve performance, solve issues, and reduce risks. Data analytics is now a component of practically every business. As a consequence, data analytics works with various data.

Statistics are used to analyse patterns and calculate metrics to assist improve performance, uncover difficulties and reduce risks.

Data analytics is often used in social media to improve content presentation. Manufacturers may also utilise production data to detect bottlenecks.

What Makes Data Analyst Course Malaysia Difficult To Learn?

Analytics is hard. In fact, the field’s cross-disciplinary character may not be for everyone.

Here are some reasons why data analytics is tough for beginners:

Math skills. Because data analytics is a STEM career, you need to be strong at math to be good at it. Even though software and algorithms conduct most of the arithmetic, a data analyst should understand the process and the outcomes.

Technical expertise. Data analytics, unlike other IT jobs, need high technical abilities due to the complexity of systems and data. Processes and procedures are more standardised to ensure accuracy.

Skills in research A key component of data analytics is understanding where to search for data that might assist uncover issues or assess performance. To detect and assess data needs, you need a sharp eye and research abilities.

Ongoing education To remain ahead in this sector, you must keep up with new trends, industry practises, and data analytics technologies. Keeping up with market changes boosts expertise and flexibility, helping you stay competitive.

How Long Does Data Analytics Take?

The time it takes to study data analytics and become a data analyst varies. It also relies on your degree of technical knowledge and competence.

The first step for many data analysts is a four-year bachelor’s degree in computer science, followed by certification or a master’s degree in data analytics.

Taking this path may take 4-5 years. This would involve four years of education, additional courses or certifications in data analytics, and relevant industry experience.

However, many data analysts nowadays take an alternative strategy by completing quick courses and certificates. These classes might last a few weeks or months.

Learning data analytics via classes, bootcamps, and self-study may take six months for a beginning. Taking data analytics seminars and bootcamps may help you get a job, but the learning doesn’t stop there. To remain competitive in the employment market, constantly studying new data analysis technology.

It may take 10 weeks or less for a professional with data analytics skills.

How To Begin Data Analytics

So, how does one learn data science? Should you go back to school or watch YouTube tutorials?

The reality is, you don’t have to go to college to succeed. Learning data sets and analytics in a variety of ways may also help you advance in your work.

Lay a Foundation

As with any topic, you must first establish a solid foundation. You must first acquire mathematics, databases, and other technical abilities before employing data sets and technologies.

Here are some basic abilities and ideas to master:

Statistics
Python/R
DAT TYPES AND
SQL
Purification of data
Visualation

You may self-study by reading books, watching videos, or attending classes.

Use Free Tools

Fortunately, there are numerous free online tools you may use to learn more about data analytics—and even data science.

Many video lessons on YouTube teach fundamental data analytics principles such what it is, how it is utilised, and what types there are.

Similarly, Codecademy’s basic membership is free for learning coding languages like Python.

You may also discover free data analytics courses on Kaggle, the data science and machine learning community.

Taking A Course

While free materials are helpful, a specialised data analytics course is the best way to prepare. While you may locate local courses, online courses provide more flexibility and convenience.

Take a course to learn from pros and boost your chances of getting employed. Certification shows prospective employers you are competent to work in data analytics.

Springboard offers career-focused data analytics courses with one-on-one industry expert mentorship and project-based learning.

Seek Help

Because data analytics is difficult to learn from scratch, you should seek support when you need it. When in doubt, consult a teacher, mentor, or a friend who works in the area.

How to Improve Data Analytics

If you already have some knowledge and experience with data analytics and want to improve, there are several ways to do so.

Remember that data analytics and data science are topics that are always growing.

A Mentor

The greatest method to increase your data analytics knowledge and abilities is to have a mentor. A mentor can rapidly answer your questions, enabling you to go on to the next step without becoming stuck.

Because your mentor is an expert in the subject, they can advise you about career potential and problems. So you’ll be more equipped for the employment market. Even after getting a position in data analytics, having a mentor may be quite beneficial.

Work on New Data Sets

On-line courses and training provide data sets to work with, but you may also hunt for fresher data sets, particularly from real-world applications. You may track your projects using free data sets from sites like GitHub.

This trains you to use data sets to the best of your skills since various data sets bring different issues and discoveries.

Enter Competitions

Competitions are a fun and rewarding method to enhance your analytical abilities. Online IT contests are prevalent, enabling novice programmers and analysts to test their abilities and earn diplomas and cash awards.

A regular feature of Kaggle is its Data Science tournaments. The International Data Analysis Olympiad is a prominent data analysis competition (IDAO). Anyone may join, regardless of degree or experience.

DataHack is a great place to discover challenges for data hackathons. Codalab also sponsors tournaments with cash rewards.

Attend Events and Talks

Like online contests, data analysis conferences, seminars, and other events may help you acquire new skills and network with industry professionals. You may be able to discover one near you.

Due to pandemic restrictions and the general trend of conducting seminars virtually, many seminars and events are now held virtually. So even if you live in another city or country, you may join the event and learn about the business and its future.