Why Should You Learn Data Analytics? – A Guide

If you’re a 21st-century person, you’ve probably heard the term “data analytics” quite often.  This is the best time to read about Data Analytics if you want to start your career in data analytics.  This article will help you understand data analytics from the beginning and is your go-to resource for all you need to know about it. This is your learning curve toward a rewarding profession, all your newbies who enjoy toying with data. Here we will have a detailed look at data analytics, its components and why you should learn data Analytics for a thriving career. 

Why Should You Learn data Analytics - A Guide

What is Data analytics?

In the form of log files, web servers, transactional data, and various customer-related data, businesses all over the world generate tremendous volumes of data every day. Additionally, a significant amount of data is generated through social networking sites. 

Companies should use all of the data they have produced in order to get the most value out of it and make important business decisions. Data analytics are what are driving this objective. The process of data analytics, which is used to provide business projections, includes identifying hidden patterns, unnoticed trends, discovering linkages, and getting meaningful knowledge from enormous databases.  As a consequence, your business operates faster and more efficiently. So, this is data analytics for beginners in a nutshell.

Benefits of Data Analytics

Now that you are aware of what data analytics is, let’s look at how to use it. 

Improved Decision-making.

Data analytics eliminates human work and speculation.  Businesses may use the data analytics insights they find to help them decide wisely. Leading in better outcomes and pleased customers.

Improved Client Services

Based on data analytics, you may customize customer service to meet their demands. Data analysis may provide details about the clientele’s preferences, issues, and more. You have the chance to suggest enhanced goods and services.

Effective Operations

Using data analytics may help you increase output, save costs, and streamline your operations. By knowing what your audience wants better, you could spend less time producing ads and other material that doesn’t appeal to them.

Successful Marketing

You can utilize data analytics to get helpful information about how well your efforts are working. 

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The Process of Data Analytics

The next step in understanding what data analytics is is to get familiar with how data is evaluated in firms. The data analytics lifecycle is divided into several stages. Let’s look at it is using an analogy.  Imagine that you own an internet shop with a customer of a million or more. Your objective is to pinpoint particular business-related problems and then provide data-driven solutions to support business growth.

The following is a list of possible steps you may take to solve your problems.

Recognize the Issue

Recognizing the business difficulties, defining the company goals, and developing a profitable solution are the initial steps in the analytics process. The challenges faced by e-commerce companies include predicting product returns, making useful product recommendations, canceling purchases, identifying fraud, optimizing truck routing, etc.

Collecting Data 

The next step is to collect transactional business data from the past several years as well as customer-related information in order to resolve the challenges your firm is experiencing. The information could contain specifics like how many units of a product were sold overall, how much money was made from sales and earnings, and when the order was made. Historical data has a big impact on how a company will perform in the future.

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Removing the Unnecessary Stuff

Frequently, the data you receive will be unorganized, unorganized, and deficient in desired values. Such material is neither pertinent nor suitable for data analysis. You must remove pointless, redundant, and missing variables from the data in order to clean it for analysis.

Exploration and Analysis of Data

A key next step after gathering the necessary data is performing exploratory data analysis. Using data mining techniques, business intelligence tools, and predictive modeling, this data may be examined, displayed, and future outcomes anticipated. Using these methods, you might discover the effects and interactions between various characteristics

Tools for Data Analytics

Let’s look at the tools utilized to carry out the aforementioned processes after studying the various data analytics steps. The topics addressed in this post will include seven data analytics tools as well as a few programming languages that can help you do analytics more successfully. 


Open-source, object-oriented Python is a programming language. For data modeling, data processing, and visualization, it supports a range of libraries.


For statistical and numerical analysis, R, an open-source programming language, is frequently used. For data processing and visualization, a range of libraries are available.


A tool for straightforward data analyses and visualization is called Tableau. As a result, you can create reports, dashboards, and a variety of visualizations to present the data in an engaging manner while also showcasing insights and patterns. 

Power BI

The business intelligence tool “drag and drop” called Power BI is simple to use. It supports a wide range of data sources and has visual qualities that appeal to data. You may query your data and get instant insights using the capabilities provided by Power BI.


Huge volumes of data may be examined interactively using QlikView’s in-memory storage technology. Data discoveries can then be used to support decision-making. Interactive guided analytics and social data discovery are available. It is capable of processing big data sets rapidly and correctly.

Apache Spark

Using SQL queries and machine learning techniques, Apache Spark is an open-source data analytics engine that does sophisticated analytics. It does real-time data analysis. 

You may run analytics, evaluate data, write SQL queries, do statistical analysis, and build machine learning models to make future predictions using the statistical analysis tool SAS. 

Let’s explore a few of the business areas where data analytics is employed after reading about the data analytics tools:

Retailers can foresee trends, recommend new products, and expand their businesses by using retail data analytics to understand the needs and spending habits of their customers.

The supply chain and retail operations are improved at every level of the customer experience.

Healthcare organizations analyze patient information to offer possibly fatal diagnoses and treatments. 

Banking Industry

Data analysts are employed by financial organizations and banking firms to find probable loan defaulters and customer attrition rates. 

Logistics Companies use data analytics to develop new business models and enhance routes. This in turn ensures that the delivery will take place effectively and on time.

Why Should You Study Data Analytics? 

You need to research trends if you want to grow in this world. You may identify several approaches by looking at the analytical data accessible for your niche to make good progress toward achieving favorable results. Data is essential to everything, from large multinational corporations to tiny businesses. The best brains in the world utilize this information to create stronger business plans for the future. Imagine yourself in the epicenter of such frenzied activity. Imagine being consulted before they make any significant business decisions? When you understand data science and big data analytics, you will become just that.

One Justification for Learning Data Analytics is That 

Top Companies Now Place a High Focus on It

 As of right now, data analytics are seen by 77% of top firms as being essential to company performance. Corporate policy and marketing plans are affected by data analytics. 

A Rise in Employment Opportunities

There are more job posts asking for data analysts and consultants if you check at all of the big employment opportunity portals, such Indeed. The need for experts with this particular skill set is growing, but the supply is still insufficient. People in this profession now have excellent work prospects because of this.

Paying Data Analytics Pros More Money

Data analytics specialists are being paid more and more as the demand rises consistently and the supply stays limited. Currently, data analytics specialists in India make on average 50% more than their colleagues in other IT-related professions. Since more and more businesses are realizing how crucial these individuals are to the company, this tendency is becoming more and more obvious.

Big Data Analytics Are Utilized Widely.

In the same way that using computers in the office has become essential, using data analytics specialists to promote growth is only starting to gain traction.

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Job Titles

Since big data is being utilized practically everywhere, you may select to be:

Data Analyst – Big Data Engineer – Data Analytics Consultant – Metrics and Analytics Specialist

The options are endless, and these are just a few of the positions you may take at significant companies like IBM, ITrend, Opera, Oracle, etc.

You will be central to the company’s decision-making process.

You will be at the center of decision-making at your chosen firm as a data analytics specialist. You will really play a significant role in the organization’s choices and future strategies, which will give you a clear sense of purpose.

Big Data Analytics Are Widely Used

Companies have begun using data analytics in the same way that they have started using social media for brand promotion and consumer interaction. This makes it a good career choice with real commercial potential.

Data Analytics is Gaining Ground More Quickly Than Anticipated

According to a survey, data analytics is gaining ground far more quickly than anticipated. 

Ideal Prospects for Freelance Work

Individuals are seeking ways to diversify their income streams and strategies to strike the ideal work-life balance. 

Given that data analytics is the study of statistics, trends, and data in general, it provides you with the ideal chance to work as a well-paid consultant or freelancer for some of the largest companies in the world. This type of work, which is mostly dependent on IT, may be done whenever and from wherever in the globe. You need not be confined to a desk. 

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Create New Sources of Income

You can quickly find new and underutilized sources of income generating thanks to your analytical skills and ability to utilise sound data knowledge. One of the finest methods to improve your life by raising your income is via this.


How does Netflix choose the material it offers us, and why does a firm go through a rebranding process? The effort done by data analysts is where the straightforward solution begins. You may significantly influence the business choices and success of your company by understanding how to leverage the power of the data that you encounter at work rather than just following your gut. To help you meet your sales targets and more effectively engage with your audience, having a data skill set will enable you to examine social media engagement trends, consumer purchasing patterns, and demographic data.

Developing Your Problem-solving Abilities with Data Analytics

Using data to address issues is at the heart of analytics. A helpful skill in both your business and personal life is challenging your brain to think logically and discover answers in novel ways. Working on your problem-solving skills regularly enables you to think creatively, handle pressure, improve your communication, and ultimately, to be a bigger addition to any workplace.

Analytics is Used Widely

Graduates can gain financially from the increased demand for data analytics, but the big data boom has also resulted in a plethora of brand-new job prospects for skilled workers. This might be having the chance to travel the world or working in a range of different fields like aviation or government. It’s a very exciting moment to begin a career in analytics since so many organizations are attempting to use data to enhance their operations.

It Keeps Getting More Significant

Data analysts will become more valuable, leading to improved work possibilities and alternatives for professional advancement. This makes the present the ideal moment to go on a trip into the realm of big data analytics, with many education experts advocating that the subject be taught.

While it could take some time before data analytics becomes a regular school topic, there’s no doubting how important the field is going to become in the very near future. This is similar to what we’ve seen with coding in recent years.

Better and More Individualized Client Service

Customers want businesses to know them, engage in relevant conversations, and offer a seamless experience across all touchpoints in exchange for contributing their data. Advanced analytics are the only way to respond quickly and provide customers a sense of value. To give customization in a multi-channel service environment, data enables interactions to be adjusted to the customer’s personality and so helps to understand their attitudes.

Simplify the procedure

Using data analytics, businesses may be able to identify possible ways to enhance processes and increase profitability. It aids in the early identification of potential issues, preventing their emergence. This makes it possible for organizations to identify the behaviors that, in a variety of scenarios, produce the best overall outcomes.

Frequently Asked Questions (FAQs)

Q. What are the top institutes offering data analytics training programs?

Some of the top institutes offering data analytics courses are as follows:


2. Simplilearn

3. Jigsaw Academy

4. TCS ion

5. upGrad

Q. Describe the four categories of data analytics.

Predictive, prescriptive, diagnostic, and descriptive data analytics are the four different categories of data analysis.

Q.  Which individuals use data analytics?

All businesses utilize data analytics to better understand their operations, but the four most popular industries are retail, agriculture, banking, and government.

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