How Data Science and Analytics Can Be Fun – Exciting Facts

jaro education
13, January 2025
4:00 pm

The growing rate of digitalisation acceptance and modern technological advancement is driving the flow of data at a high rate. Businesses involved in this are looking for ways to transform their data into valuable business insights that not only facilitate smarter decisions but take their companies to success.

Nowadays, almost every individual is familiar with Netflix. Amazon or YouTube are the main platforms offering personalized recommendations for what you want to see or buy. Right? But do you know that performing such a task is impossible without data? And that’s where data science and analytics come in.

In the IT field, these two terms have become a dominant trend. With changing times, data science and analytics have often gained fame and acceptance. This is because it has given businesses of all sizes the ability to identify patterns within data, thus exploring new markets, controlling costs, growing operational efficiency, and creating a competitive advantage.

So, if you are an aspiring learner, let’s uncover the interesting facts about data science and analytics that you should know.

Interesting Facts About Data Science You Can't-Miss

Data science and analytics have become buzzwords in the tech industry, and for good reason, of course. This field gives companies, regardless of their size, the power to interpret data patterns that help with decision-making, cost management, and performance improvements. As we plunge into this intriguing world, let us read out the facts that an ambitious data scientist ought to know.

*ttmind.com

1. Data Science Backbone of Artificial Intelligence

Data science, at its core, provides fuel for AI. It provides various tools and techniques that are significant for training the structures of the model and help provide decision-making and automation. AI, having no data science, would have no structure to stand on.

2. More than Just Numbers

Data science has only been thought to be about number-crunching and analysing statistics. But in reality, data science is a systemic discipline involving data visualisation, storytelling, and effective communication. Data scientists have to discuss their solutions in a way that makes sense to the nontechnical stakeholders involved so their insights can be actionable.

3. The Power of Customer Analytics

According to McKinsey statistical reports, organisations using customer data science and analytics are 23 times more likely to gain new customers and nine times more likely to retain existing ones. This stunning statistic from McKinsey emphasises the great influence that data-driven decisions have had on the success of businesses.

4. A Diverse Field: Beyond Data Scientists

Data science is often associated solely with data scientists, but it consists of a variety of roles, including:

- Data Engineers: They manage the data infrastructure, ensuring data flows smoothly throughout the data science lifecycle. Key skills include programming in Python, database management (NoSQL), and big data tools like Hadoop.
- Data Analysts: These professionals dig into available data to find answers to pressing questions. They rely on skills like programming, data visualisation, and statistical analysis.
- Data Scientists: They work with large datasets, analyse the information, and communicate findings through reports and visual presentations. Their toolkit includes statistics, mathematics, programming, and machine learning.

5. Data Science is for Everyone

A common misconception is that data science is only for large organisations with extensive resources. The truth is that data science is about using big data, statistics, and smart analysis—none of which require a massive infrastructure. Small and medium-sized enterprises can also benefit greatly from data-driven insights.

6. Communication is Key

Effective communication is important in data science. It involves two main areas:

- Team Coordination: Collaborating across teams during various stages of the data science lifecycle ensures everyone is aligned and informed.
- Clear Presentation: Data scientists must present their findings in a way that is understandable and actionable. Strong public speaking skills are essential for conveying complex insights.

5 Fascinating Facts About Data Analytics

Now let’s explore six amazing facts about data analytics that highlight its incredible potential in our lives:

*blog.wishpond.com

1. Explosive Growth of Data Analytics

The global data analytics market is booming and is projected to reach a whopping ₹24.9 trillion by 2030. This surge is driven by organisations that rely heavily on data insights to make informed decisions and maintain a competitive edge.

2. Personalisation at Its Finest

Data science and analytics enables companies to tailor experiences to individual preferences, allowing greater engagement and loyalty. For instance, Netflix’s recommendation engine, powered by data analytics, influences 80% of what users choose to watch—now that’s personalisation!

3. Predictive Analytics: The Crystal Ball of Business

Predictive analytics is changing the sector of decision-making, involving past data analysis and predicting future possibilities. Companies lean towards this amazing tool to predict trends, mitigate risks, and boost customer retention- an invaluable asset in today’s high-paced marketplace.

4. Real-Time Data is Here to Stay

In our digital age, real-time data analytics is essential for making informed decisions. Businesses can monitor performance, identify market trends, and respond to challenges as they arise. For example, eCommerce platforms use real-time data to create personalized shopping experiences, while financial institutions use it to combat fraud instantly.

5. Visualisation Data for Better Insights

Data visualisation transforms complex datasets into engaging graphics, making it easier for stakeholders to grasp critical insights. With tools like charts and dashboards, teams can identify trends quickly, reducing analysis time by up to 40% and accelerating decision-making.

*uwex.wisconsin.edu

How Do You Get Into Data Science And Analytics?

Are you wondering how to build your career in data science and analytics? Let us help you!

There are two certification courses that can help you get a data science or analytics position by honing your skills and showing proof of your exceptional credentials to companies. They are:

IIM Kozhikode: Professional Certificate Programme in Data Science for Business Decisions

The Professional Certificate Programme in Data Science for Business Decisions offered by IIM Kozhikode is designed for technology professionals, middle-level managers, budding managers, team leaders, and senior executives who can redefine their domains. This programme focuses on how data science can be applied in real business situations.

Key Highlights of the Programme:

- Earn certification: Certificate of Completion from IIM Kozhikode, adding value to your credentials.
- Lifelong Executive Alumni Status: Join a network of successful professionals.
- Expert Faculty: Learn from esteemed IIM faculty and industry experts who bring real-world experience to the classroom.
- Practical Insights: Engage in high-impact learning through industry case studies and a capstone project designed to solidify your knowledge.
- Intensive Learning: Experience a two-day on-campus session that fosters collaboration and deep learning.

IIM Nagpur- PG Certificate in Cyber Security Management and Data Science

This programme is mainly designed for professionals who want to easily navigate through the complex world of cloud-based models, risk management, and security. It covers essential cybersecurity knowledge, enabling systematic risk management and management with a focus on efficiency. Furthermore, the programme also aims to improve communication, leadership, and managerial skills that will help you to succeed in the corporate world.

Who is Eligible to Apply?

This programme is intended for mid-management and senior-level managers, CTOs, and CXOs who wish to build on their existing cybersecurity knowledge in order to better manage data science applications.

Key Highlights of the Programme:

- Certificate of Completion awarded by IIM Nagpur in view of professional growth
- By coming on board as an Executive Alumni, enjoy the benefits of networking with such a prestigious alumni body.
- Highly Intensive On-Campus Immersion over 2.5 days of focused learning with collaboration opportunities and networking.
- Engage with the faculty at IIM Nagpur, who provide a wealth of knowledge and practical inputs.
- Hands-on workshops link the theoretical underpinning to practice, equipping the participants with implementable skills.

How Can Jaro Education Help You?

Jaro Education is a leading online higher education and upskilling company in India. With 15+ years of experience and expertise in the education sector, we have been offering unparalleled academic guidance and career counselling to participants who are passionate about their future. We have various programmes offered by some of the prestigious universities and institutions. In addition, Jaro acts as a marketing and technology partner for some of the programmes offered by IIM and IITs.

If you’re enrolling for any programme through Jaro, you can get the advantage that includes:

- Unparalleled career guidance and support.
- Dedicated student support.
- Immersive lifelong learning experiences.
- Doubt resolution.
- Full access to Jaro Connect Portal.
- Full access to Jaro’s alumni network of 3,50,000+ professionals.
- Exclusive access to other events and benefits.

In fact, through our partnership with IIM Nagpur for the PG Certificate Programme in Cyber Security Management and Data Science, Jaro Education offers the Jaro Expedite – Career Booster, which provides learners with an opportunity to expand their professional growth without borders or limits, leveraging quality networking opportunities and lifelong learning experiences. Here’s how Jaro helps you turn your academic dreams into reality:

- Resume Building: Jaro Education provides expert resume optimisation services, helping you create a standout, ATS-friendly resume that captures your professional summary and sets you apart in a crowded job market.
- LinkedIn Profile Optimisation: Benefit from tailored advice on enhancing your LinkedIn profile, ensuring you present yourself as a knowledgeable cybersecurity expert on the world’s largest professional network.
- Career Enhancement Sessions: Through the Jaro Connect Platform, connect with companies looking for talent while participating in immersive boot camps and masterclasses led by industry experts on the latest trends.

Final Thoughts

As data continues to surge across all fields, the importance of taking data science and analytics onward becomes ever more necessary. If you are good with numbers and enjoy problem-solving, this field can be quite exciting. So, what are you waiting for? Raise the bar high and lead your career with the Professional Certificate Programme in Data Science for Business Decisions offered by IIM Kozhikode.

Frequently Asked Questions

What is exciting about data science analytics?

Transforming raw statistics into new stories that inform an organisation’s next course of action is an interesting task for data science analytics. Proficiency in statistics, Excel, Tableau, SQL, and effective communication are also essential. The finest preparation is achieved through autonomous initiatives combined with structured training.

What's exciting about data science?

As a data scientist, you will gather, examine, and draw important conclusions from data. For starters, that data can be used to detect fraud, optimise shipping routes, detect early-stage tumours, and enhance athletic performance.

Is data science analytics an interesting field?

Anyone interested in working with data can find a wide range of options in the data science analytics sector, including several positions and different kinds of work.

Why is data science the future?

Big advancements in data science are expected in the coming years, especially in areas like quantum computing, machine learning, and artificial intelligence (AI). These technologies will transform how we use and manage data. That’s why future data scientists need to stay updated on these developments.