Edure provides one of the best data analytics course in Kerala and many students have successfully placed in different companies after learning Data Analytics from Edure. We, at Edure teach data analytics courses in Trivandrum through e-learning. After completion of the data analytics training at Edure in Trivandrum, you can have the chances of getting placed in different companies.

What is Data Analytics?

As the process of analyzing raw data to find trends and answer questions, the definition of data analytics captures its broad scope of the field. However, it includes many techniques with many different goals.

The data analytics process has some components that can help a variety of initiatives. By combining these components, a successful data analytics initiative will provide a clear picture of where you are, where you have been and where you should go.

Types of Data Analytics

Data analytics is a broad field. There are four primary types of data analytics: descriptive, diagnostic, predictive and prescriptive analytics. Each type has a different goal and a different place in the data analysis process. These are also the primary data analytics applications in business.

  • Descriptive analytics : helps answer questions about what happened. These techniques summarize large datasets to describe outcomes to stakeholders. By developing key performance indicators (KPIs,) these strategies can help track successes or failures. Metrics such as return on investment (ROI) are used in many industries. Specialized metrics are developed to track performance in specific industries. This process requires the collection of relevant data, processing of the data, data analysis and data visualization. This process provides essential insight into past performance.
  • Diagnostic analyticshelps answer questions about why things happened. These techniques supplement more basic descriptive analytics. They take the findings from descriptive analytics and dig deeper to find the cause. The performance indicators are further investigated to discover why they got better or worse. This generally occurs in three steps:
    • Identify anomalies in the data. These may be unexpected changes in a metric or a particular market.
    • Data that is related to these anomalies is collected.
    • Statistical techniques are used to find relationships and trends that explain these anomalies.
  • Predictive analytics helps answer questions about what will happen in the future. These techniques use historical data to identify trends and determine if they are likely to recur. Predictive analytical tools provide valuable insight into what may happen in the future and its techniques include a variety of statistical and machine learning techniques, such as: neural networks, decision trees, and regression.
  • Prescriptive analytics Is the simplest of the bunch where it is used to answer the question of what happened. The data is analysed to find similar patterns that fulfil the data conditions. For conducting statistical data analysis, descriptive data analysis is a necessary step.

In general, Edure is the institute which provides best data analytics course and data analytics certification in Trivandrum, Kerala and is one of the most sought courses by students and professionals, and most of them choose Edure to learn it.

Who is a Data Analyst?

A data analyst is a person whose job is to gather and interpret data in order to solve a specific problem. The role includes plenty of time spent with data, but entails communicating findings too. Here's what many data analysts do on a day-to-day basis: Gather data: Analysts often collect data themselves. Students who are taught data analytics in Edure institute in Trivandrum are successfully placed in different companies after they study data analyst course in Kerala.

Why Data Analytics is important?

The applications of data analytics are broad. Analyzing big data can optimize efficiency in many different industries. Improving performance enables businesses to succeed in an increasingly competitive world. One of the earliest adopters is the financial sector. Data analytics has an important role in the banking and finance industries, used to predict market trends and assess risk. Credit scores are an example of data analytics that affects everyone. These scores use many data points to determine lending risk. Data analytics is also used to detect and prevent fraud to improve efficiency and reduce risk for financial institutions. The use of data analytics goes beyond maximizing profits and ROI, however. Data analytics can provide critical information for healthcare (health informatics), crime prevention, and environmental protection. These applications of data analytics use these techniques to improve our world. Though statistics and data analysis have always been used in scientific research, advanced analytic techniques and big data allow for many new insights. These techniques can find trends in complex systems. Researchers are currently using machine learning to protect wildlife.

The use of data analytics in healthcare is already widespread. Predicting patient outcomes, efficiently allocating funding and improving diagnostic techniques are just a few examples of how data analytics is revolutionizing healthcare. The pharmaceutical industry is also being revolutionized by machine learning. Drug discovery is a complex task with many variables. Machine learning can greatly improve drug discovery. Pharmaceutical companies also use data analytics to understand the market for drugs and predict their sales.

The internet of things (IoT) is a field that is used alongside machine learning. These devices provide a great opportunity for data analytics. IoT devices often contain many sensors that collect meaningful data points for their operation. Devices like the Nest thermostat track movement and temperature to regulate heating and cooling. Smart devices like this can use data to learn from and predict your behavior. This will provide advance home automation that can adapt to the way you live.

The applications of data analytics are seemingly endless. More and more data is being collected every day — this presents new opportunities to apply data analytics to more parts of business, science and everyday life.

Why choose Edure for Data Analytics training in Kerala?

Edure is one of the best Data Analytics institute in Kerala which provides data analytics certification. Edure is considered impeccable for providing data analytics course to students and professionals. Students can study at the convenience of their time and Edure is rated high amongst institutes that provide Data Analytics training in Kerala.

How demanding is Data Analytics Course in Kerala?

Data Analytics is a lucrative career and data analytics course in Kerala is the most sought course by students. Edure’s data analyst course in Kerala is highly recommended among students. Edure is the best data analytics institute which provides data analytics training. For more information, visit the Edure App.

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The demand for data analysts in kerala is set to grow tremendously in the years to come as the current and future market scenario demands collection and usage of increasing data. Data will be the fuel that drives the future of business and most organizations now realize its importance. There is a growing skill gap in the IT industry for the vacancies of data analysts and the resources that are presently available.

Edure provides the best data analytics course in Trivandrum, offers best-in-class personalized training including hands-on training from the basics at an affordable cost. All essential modules of data analytics are included as part of the data analytics course curriculum in Edure. Interested students and aspiring professionals can take up this course at flexible timings according to their convenience. We also offer weekend classes for working professionals. we also provide placement assistance for our graduates and 90% of all our graduates have been placed.