Delhi is one of the most bustling cities in India. Over the past few decades, it has proved its capabilities in manufacturing, IT, and other service sectors. Delhi has a steady GDP growth rate, and employment opportunities are accessible. Recently, the popularity of data analytics courses has skyrocketed in Delhi and other metro cities. This is because data analytics holds excellent power and can be a vital tool in the arsenal of modern businesses. The enthusiasm amongst the managerial circles is never seen before. Managers are looking at data analytics courses in Delhi as a great investment opportunity for their future. This has led to increased demand for data analytics courses. Various institutions now offer a mix of online and offline methods, specially catered to mid-career managers who hardly have time for regular weekday classes. In this article, we will shed some light on the importance of data analytics, what led to its popularity amongst managers and what one can expect from a practical data analytics course.
What is Data analytics?
Before we discuss data analytics, we must first understand what data is in the context of data analytics?
Data in its simplest form can be defined as footprints generated through activities. For example, suppose a company sells x no.of items for a total value of y. These x and y values will be saved as data in the company database. It is just the simplest example.
A company will gather data from various points; it is not just enough to collect data from their own activities. They will try to have information on their competitor’s KPI ( Key Performance Indicators). They will employ other organizations to do surveys on their behalf and even buy big data from various companies at a premium. Not just that, data that has seemingly no connection with a sector could yield insights that can change the company’s approach towards its business. But what is the use of this data? And is it possible for humans to comprehend this immeasurable amount of data? The short answer is yes, but only with the help of modern technologies. This is where the discipline of data analytics comes into play.
Data analytics is the discipline of analyzing data through various technologies to deduct meaningful insights from the analyzed data. More simple forms of data analytics, like descriptive and diagnostic analysis. And then, there are more intense forms of data analytics, like predictive and prospective analysis. Data analysts will use a wide range of software and technologies for processing the data. They will generally use excel, python, R, machine learning, and other A.I-based technologies. Data analysts will then try to present the gathered insights understandably in front of the board of directors.
Importance of data analytics
The main 4 types of data analytics serve a distinct role in helping a company.
- Descriptive analysis helps the company understand what happened over a period of time. Data analysts will process a company’s past and recent performance data and present the insights in dashboards. It is a more straightforward form of data analytics because it neither requires sophisticated software nor more enormous computational powers. To some extent, Descriptive analysis can even be done on a smartphone.
- The diagnostic analysis will help a company understand the cause behind its performance. This analysis is done through various tools like Power bi and Clicks. For a company, the insights from diagnostic research are irreplaceable. The company can pinpoint things that worked in its favor or against it. Amplifying positive actions will lead to better overall performance for the company.
- Predictive analysis is done to forecast the future performance of a company. It is an advanced form of data analysis. Analysts will use machine learning technologies to map future projections. The prediction accuracy will increase with more sophisticated technologies and more extensive data sets. Predictive analysis can prepare a company to fight against upcoming downtrends. It will also point to potential risk factors for the company. Accurate predictive analysis requires a lot of computational power and deep technical know-how.
- Prescriptive analysis is considered the most advanced form of data analysis. Most companies will try to integrate prescriptive analysis but fail to implement it properly. Primarily due to the lack of technical skills and fund requirements. Prescriptive analysis, as the name suggests, is prescriptive in nature. The motive behind this form of research is to gather actionable insights and implement them to increase the efficiency and performance of the business. Most prescriptive analysis techniques will require deep learning technologies.
Making sense of the insights
Data analysis teams can gather insights but lack one key attribute: experience. This is where the abilities of managers come in handy. They can extract and comprehend the accumulated insight in a way that becomes useful for the company. Because data analytics is a comparatively newer field of study, very few managers have any knowledge about the overall data analytics process.
Therefore, the managers are rendered useless when leading a data analytics team and have to rely heavily on the team. Suppose the manager has at least some experience or knowledge of the data analytics process. In that case, they can bring considerable improvements to the data analytics department and coordinate other departments according to the insights gathered from the process. This is why the data analytics course has become immensely popular amongst managers.
Why a data analytics course in Delhi?
Delhi is one of the biggest hubs of the manufacturing industry. Specifically, it is the largest manufacturing hub of consumer products. But not just that, various other sectors are also doing well. Delhi NCR regions are also increasing. This has led to increased migration of people into Delhi and its surrounding areas from all over India. It has made Delhi an ideal place for starting an industry-aligned educational institution.
Data analytics course details
Data analytics courses will generally teach the basics of data science. It will help those who have next to no knowledge of this matter. It will also cover excel, tableau, and SQL. This software is used to create visual dashboards, which are vital for the presentation process. The course will also teach one programming language. In most of the courses, the preferred language is python. Mostly because people with no prior experience can learn to use it, and there are numerous open-source third-party offerings for python, making the work of an analyst easy.
The course will also have classes on implementing these technologies in real-life situations. It is arguably the most crucial aspect of a course. Implementing the techniques effectively can help a manager from day one.
Conclusion
The popularity of data analytics among managers will only continue to increase. And rightly so, as it can equip the managers with modern technological tools that can positively affect a company’s performance. Also, in a rapidly changing world where automation is taking up jobs, being relevant is paramount for anyone. The only way to achieve relevance is by taking courses that can increase the value of a manager and render them an irreplaceable asset for a company and also open up better job opportunities for them.
