Data has become instrumental in driving business growth as organisations continue to evolve. With the increasing internet penetration, companies collect loads of consumer data to analyse and extract helpful insights. Organisations seek creative solutions that provide more substantial business returns and optimise operating costs through data analytics.
Data analytics career choices are growing rapidly in India owing to the massive demand for skilled data analytics professionals. It provides immense growth potential for professionals looking to build a rewarding career. Also, there is a significant rise in the best data analytics courses available online. Data analytics courses train aspiring data professionals with the required knowledge and skills that help to transform businesses by making data-driven decisions.
These courses also provide industry-relevant capstone projects that test your knowledge and sharpen your skills, thus making you more proficient. Working on these projects is a crucial part of your upskilling journey. If you have set your ambitions to become successful in this rapidly-evolving profession, then taking a data analytics course aligning with your professional goals is beneficial to grow your career.
Let’s dive deeper and understand the nuances of the data analytics course and the typical projects that enhance proficiency levels and help you build a flourishing career.
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What is Data Analytics?
Data analytics is a part of data science that uses various mathematical techniques and statistical models to identify patterns and other valuable insights that drive business growth. It analyses the raw data to draw meaningful and actionable steps that can contribute to making a positive business impact. These insights are crucial in developing data-centred strategies and making informed decisions.
Data analysts play a significant role in organisations as they gather, examine and decipher vast amounts of company data in a fast-paced tech environment. Companies are willing to pay attractive salaries to certified professionals with the relevant skills to serve the data analyst role effectively. The average salary of a data analyst in India is more than Rs. 6 lakhs.
What is a Data Analytics Course?
A data analytics course is an online program that equips students with the knowledge of analytical tools, techniques, and statistical learning models of big data. It combines vital elements of mathematics, statistics, computer science, programming languages, and data-based business management to extract knowledgeable insights from large datasets.
Some educational platforms also allow you to work on industry-relevant capstone projects that enable you to apply the knowledge learned through the courses and refine your skills. These projects span sectors like banking, logistics, marketing, healthcare, supply chain, and e-commerce.
Real-world applications of Big Data included in Data Analytics Courses
The industry projects in the best data analytics courses may vary from platform to platform. However, the typical real-world applications of big data included in data analytics courses are elaborated below:
● Increasing customer acquisition and retention
Acquiring customers has become challenging for companies in today’s competitive market. The purchasing patterns and behaviour of the new-age consumer are constantly changing due to the influence of various digital channels. Companies need to reach out to new potential customers while balancing their marketing expenses.
In this case, big data analytics applications keep track of customer-related patterns and trends and deliver beneficial insights. The insights help companies uncover the best target audience for particular products, the best marketing channels for maximum potential ROI, and ways to increase the Ad acceptance rate.
● Risk detection and management in finance
Risk detection in finance is among the prime applications of big data analytics. With the help of data analytics, banks, and other financial institutions can segment customers based on their past expenditures, credit status, and other variables. This process increases the odds of predicting the correct risk and default probability. It would take them days of the workforce to achieve the same results without the help of data analytics.
The real-world project could also include developing strategies to manage the risk in the Insurance industry better. Big data analytics measures the risk involved in claims, actuarial, and risk data. Working on such industrial projects gives you a closer picture of the real pain points present in the industry.
● Increasing the effectiveness of marketing campaigns
When marketing teams analyze their campaigns with the help of big data, they can get vital information about their target market that can better optimise their campaigns. They can analyze their past campaigns and discover the best tools, budgets, and frequency to bolster their future campaigns.
E-commerce companies use big data analytics applications to show a range of similar products that their audience recently viewed. Similarly, video-streaming platforms like Amazon Prime, Netflix, etc., use big data applications to collect information and viewing habits about their viewers. This information is converted into insights to serve the audience with shows matching their preferences.
● Increasing the quality of medical care
The healthcare industry has been investing intensively in data analytics and collecting enormous healthcare-related patient data. These data are collected through various machines and technological tools EHRs, e-prescriptions, patient portals, personal health records., etc.
Big data analytics applications include analysing this data further to provide better healthcare facilities to patients. It is also analysed to enhance the results on the business aspects of the healthcare industry.
Conclusion
If you are serious about growing your career in data analytics, consider exploring the best online data analytics courses that equip you with the necessary skills. The capstone projects in these courses include real-life applications of data analytics that will help you sharpen your expertise. You must know how to use data analytics effectively before applying for jobs in various organisations. The certification and the knowledge gained by working on real-world projects impart the necessary confidence and technical capabilities that reflect your credibility to hiring managers.
