The Future of Data Analysis: Trends and Courses to Watch

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UH-OH!!! Is this your reaction when you see the word ‘cookies’ on any website? Why do these websites ask to accept cookies? Well with this, companies get your information (with your permission), and store it in their databases. It allows them to track your searches on their websites. Then companies customize their offers for customers, like you, to earn billions of dollars. The way of processing these kinds of data is known as data analytics or data analysis.

Since the online presence of people is increasing, data analysts are performing more data analysis. How much does a Data Analyst earn? What is the future and how to get into this profession? You will get the answers to all these questions in this blog.

How Does Data Analysis Work?

Let’s begin from the beginning. From the already discussed example, you have an idea why data is important. Let’s consider another example to know a few more specifications: think of a food delivery company whose name starts with ‘Z’ and ends with ‘O’. I did not write that, just you thought of this name. People randomly order food, and the company’s database gets thousands and thousands of orders daily.

Then, data analysts analyze those randomly placed orders. This provides the company with crucial insights, which help in the improvement of customers’ experience. One can get the information that on sizzling hot summer days, from 4:00 pm to 5:00 pm (when generally people feel exhausted after working almost all day) what people are ordering.

Okay…, Then?

This information is useful for planning notifications that a company sends; adjusting the positioning of the restaurants, when someone searches, to get more and more orders, and even finding the suitable type for a specific locality before setting up a new restaurant business.

What Else?

Thus, It helps in launching new and/or refining existing products. Like, for a clothing brand what age groups like what kind of fabric, colors, and prints? For a cosmetic brand what age group like what kind of colors in the lip care products range, and many more. This is how deeply data analytics is involved in business growth.

What Is The Actual Process?

Data analytics involves mainly 5 steps:

1. First of all, a question is defined to find the answer to which the analysis would be done.
2. Then, the data collection process comes into play.
3. Cleaning of the data is important to exclude a data set. when there is any missing information.
4. The step of analysis of data comes into the picture to answer the main question.
5. Result interpretation is the final step of this extremely complex process.

Many times this is also called either business analytics (when business growth is the goal) or data analysis as a whole.

What Are The Future Trends In Data Analysis?

Data analysis is in demand today and will be in the future as well. Various future scopes are there for data analysis. You will get to know a few of them now:

1. Artificial Intelligence

Consider generative artificial intelligence, specifically GenAI) as an example. It is a popular branch of machine learning (ML). It is useful in designing the tools that generate responses on the basis of stored data. This is one of the most worked upon fields, and the advancements in this field will certainly be there in the future.

2. Real-Time Data Analysis

The generation of complex data and then its interpretation is a time taking process. To make this process efficient developers are working on the entire globe. The ultimate goal is to perform real-time analysis.

In the healthcare sector, to get all the vitals of patients, viz. heartbeat, blood pressure, oxygen level, brain functions, etc. To process this in real-time and find if any new scenarios can come across

3. Data Analysis Without Coding

There are many tools available to develop a website without coding. It was almost impossible to think of this around a decade ago. On the other hand, data analysis requires coding-based actions to deliver results. But, the developers are working to design such kinds of tools, which can perform data analysis without coding.

4. Data Privacy

As the field of data analysis is growing, the risk to privacy will grow too. To take care of data privacy, special subdivisions will indeed come into existence.

All these and many more will be in demand in the future to opt for as a profession.

How To Reach The Destination?

Simple, by starting the journey. A field full of future opportunities encourages people to find careers in it. Those who want to have a career in data analysis must know what is the starting point to achieve the goal. Let’s discuss that.

1. Have A Degree

To find a career in the field of data analysis, the best way is to attain a degree, either undergraduate in any of the relevant fields, like mathematics, statistics, or computer science. A master’s degree in business analytics or data science can help the candidate get the core concepts required to excel as a data analyst.

Already Graduated With Any Other Subject? No Problem!!!

If someone wants to change his/her profession then the formal education route might not be the best one. That person can choose the way of certifications in the field of data analysis. To get the knowledge equivalent to the degrees. 

Fundamentals of data analysis are the starting point of this field. Those fundamentals are mathematics, especially statistics. No doubt that statistics is significantly important, and an analytical mind is something that is a sort of mandatory requirement to make this process smoother.

Thereafter, an aspirant needs to learn programming languages. Programming languages play key roles at the various stages in the process of data analytics.

2. Projects Related To Data Analysis

At this level you should have enough knowledge then go to apply the same. Perform the process, and start with brainstorming. Find a question, gather some data, clean it, analyze and then, interpret it in a simple and interesting way.

Then there are free resources, like Google data analytics, available to proceed further with the DataCamp project. Related online data stores are useful to explore what you did at an individual level. It helps you apply your findings to real world scenarios.

3. Portfolio

Then build a portfolio as a data analyst. To perform this step, keep in mind to find a few differentiators for yourself. This simply means finding unique questions and then working on them. Because common projects would give a place in the queue of commons.

4. Entry Level Job In Data Analysis

To get professional experience and make your resume strong, apply for entry level jobs. Then, with an experience of a couple of years, you will be set to apply for expert jobs.

Keep learning throughout this process, as trends demand you to be up to date.

What Are The Courses For Data Analysis?

Now you know that an undergraduate in any of the relevant fields can serve the purpose. However, what data analytics course or certification to choose, if graduation is not like as just mentioned? I have a solution for you, go for the Post Graduate Program In Data Analytics from Henry Harvin (HH) Education.

Henry Harvin has been serving society as an EdTech firm for the last 11 years. The range of courses that HH covers is unbelievable, as the number of courses offered is more than 1200. The course under discussion is a comprehensive and one of the best data analytics courses that covers all that you need to excel in the field of data analysis.

Additionally, HH offers 120 hours of live and interactive classes for the same. These classes are accessible on the Learning Management System (LMS) portal for one complete year. Henry Harvin and the National Skill Development Council (NSDC) will certify you once you complete the course

Internship is one of the key aspects of HH, and this will make you familiar with the real life application of data analysis. 100% placement assistance is a fact that is certainly mind blowing. 

Conclusion

All in all, data analysis is a great career option for the future. Whatever you have studied, you can enter and grow in the field of data analysis. You just need to follow a path to get the skills and knowledge this field demands.

The Post Graduate Program In Data Analytics from Henry Harvin can make you an expert data analyst. Time is passing away. Book a session with Henry Harvin, enroll in the course, and let your dream come true.

Recommended Reads

Big Data Analytics: Trends And Best Practices

The Most Amazing Top Data Analytics Certifications

Top 15 Data Analytics Courses In India In 2024

FAQs

Q 1 – How much does a data analyst earn?

Ans – It depends on the experience level. It starts from 3 lakhs a year to 3 lakhs per month.

Q 2 – How to be a data analyst without any degree?

Ans – This field demands a professional to be skillful. Thus, if an aspirant has not graduated in data analysis, he/she can go for certifications to get the required skill set.

Q 3 – What is the use of programming languages in data analysis?

Ans – Many programming languages like SQL, Python, and R are used in the process of data analysis. It helps to analyze complex data. Although there are many tools to perform data analysis without coding, programming languages help you to stand out as a data analyst.

Q 4 – Is maths important to be a data analyst?

Ans – Yes, indeed. In fact, there are a few roles that demand maths knowledge as a mandatory prerequisite.

Q 5 – Is the data analyst course from Henry Harvin useful?

Ans – It is one of the best courses available to start your career in data analysis.

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