A question while opting for a career option is how long it takes to learn the skills required in that field that often arises in people’s mind. For the majority of IT roles it is easier to answer as there are relevant degree courses available for them. 

But, for data analytics, the question becomes trickier to answer. The reason is that, unlike other IT roles, there is not a very straightforward way to learn data analytics from scratch. 

There are a lot of skills that one needs to acquire in order to become a data analyst. So, the exact time varies based on many factors. So, let's understand the factors that influence the time to learn data analysis and the average time to learn data analytics. 

What is the average time to learn data analytics?

The average time to learn data analytics for someone who has prior experience in any other IT field is around 3-4 months. Basically, such people either have knowledge of all the skills required in data analytics or some of them, like Python or R, Excel, Spreadsheet, etc. 

But if we let that person have no experience in any of the skills of a data analyst, then it may take one to one and a half years for the person to learn data analytics. This is because the person will or have to learn through a more descriptive data analysis course. Moreover, the person may have to learn some skills through separate courses. 

However, to become an expert data analyst, it takes at least 3-4 years of experience in a data analyst job, along with the time consumed in learning data analysis through the data analysis course. 

What are the skills required for data analytics, and how do they affect the learning time?

• SQL

Structured Query Language, also known as sql, is an important language that you should know to become a data analyst. It is used to procure data from a database. It doesn't make a lot of, difference whether you know or don't know SQL, as it takes only 2-3 weeks for an average learner to learn sql. 

• Excel 

Excel is used to manage data in data analysis. For a data analyst, advanced Excel is required, too, with proficiency. However, you can easily learn advanced Excel without enrolling in a separate course, as it is mostly included in most data analysis courses. The continuous use of Excel will make you proficient in 2-3 months.

• Programing Language for Statistics

Statistics plays an important role in data analysis. Spreadsheets and other tools are used for Statistical analysis, but as data analysis is developing, statistical programming has been introduced to do more extensive analysis. Python and R are the two languages which are mostly used in statistical programming.

If you don't know anything about Python, it will take you around 2-6 months to learn the fundamentals of Python. On the other hand, R was developed with the core purpose of statistical analysis, so it takes less time to learn around 1.5 to 2 months. 

• Tableau and Power BI

Tableau, which is a data visualisation tool, is one of the important requirements for data analysis. To thoroughly understand the Tableau software and learn all its features and applications, you may take around 2 to 6 months, based on your prior experience. 

Power BI is also a data visualisation tool developed by Microsoft. It works very smoothly with other Microsoft products, making it a top choice for businesses. The basics of Power BI can be learned in four to six weeks. 

How to Learn Data Analysis Online?

Since data analysis is a trending career option, and there are thousands of job roles vacant for it only in India itself, there are many data analysis courses available online. An online data analysis course is best to become a data analyst because there are many benefits to it. 

With an online data analysis course, you can learn data analysis at your own pace. Moreover, you can also take breaks between your learning. That's why it becomes an excellent way for those who are already in a job. 

However, there is still confusion which nay left in your mind about which is the best online data analysis course. But worry not; there is a course that will help you learn all the data analyst skills thoroughly. The name of the course is "Best Data Analytics Course Online" by Coding Ninjas. 

The course is powered by accomplished mentors who have experience working with Walmart, Facebook, Amazon and many others. With over 50 hours of content, you will get to learn everything you need to become a data analyst. 

You will also get a one-on-one problem-solving facility anytime over call or chat. Moreover, since this data analysis course is created for both students and working professionals, you also get 60-90 days of pause if needed. 

What are non-primitive data types in Java? 

There are two types of data types in Java: primitive data types and non-primitive data types. Unlike primitive data types, non-primitive data types don't directly store the data. Instead, they store the reference or address of the data in the physical memory. 

There are multiple benefits of non-primitive data types. Firstly, since there's an address or reference available for each data unit, it becomes easy to edit, replace, delete and do other operations. 

Moreover, these data types are mostly non-immutable, suitable for sorting algorithms and many different algorithms. Strings, arrays and interfaces are some popular non-primitive data types in Java.

Summing Up

The data analysis uptrend will continue in the future, so it is evident that the career option is future-proof. However, there are some considerations to know before becoming a data analyst. Even when you complete a data analysis course, you should keep learning new things. 

It is essential as data analysis is a field where new tech and innovations are equipped very fast. So, to be relevant to data analysis practices of the future, you should be actively learning about the latest trends in data analysis.