Understanding Big Data Analysis with IITM – Pravartak Data Science & Applications Program

Understanding Big Data Analysis with IITM - Pravartak Data Science & Applications Program Blog

Presently, Big Data is buzzing in the technology world. However, it is a broad concept that has changed the world. Let’s understand Big Data analysis with the best online data science course from IITM-Pravartak Data Science and Applications, let’s understand Big Data analysis.

What is Big Data Analysis?

Before jumping to the importance and other factors, let’s first understand Big Data analysis.

Big data is a term that describes large sets of diverse data such as structured, unstructured, and semi-structured. The process extracts meaningful insights such as market trends, hidden patterns, customer preferences, and unknown correlations.

It is helpful to prevent fraudulent activities and allows to make better decision-making. However, it cannot be stored like traditional data.

Why is Big Data Analysis Important?

A large amount of data collected by Big Data analysis helps to understand customer preferences and behaviour. For example, social media algorithms.

If you look at an ad on a different website, you will find advertisements of similar and exact websites on your social media platform. Here, big data analysis plays a vital role by extracting data to understand users’ choices, likes, past history research, and preferences.

With Big Data, using a recommendation engine leverages data filtering tools that extract data and set algorithms accordingly. That’s how stream engines like Spotify, Youtube, and other platforms work.

Businesses that have adopted big data analysis have gained opportunities and benefits in different ways. For example, data is classified into Excel sheets with a definite form. Also, data comes in three various formats to help make better decisions.

But data for pictures and videos come under unstructured data. All data sum up and make big data. As a learner, you can enroll in online data science certification courses to learn more about Big Data analysis

Types of Big Data Analysis

Here are four types of Big Data analysis:

Descriptive Analytics

The past collected data is easy to read and helps create reports like profit, revenue, sales, and more. Social media metrics come under descriptive analytics. It is helpful to make any decision as the available data will help to analyze performance.

Predictive Analytics

As the name suggests, analytics is to forecast. The analytics is used to make predication of the future based on present and historical data. Artificial intelligence, machine learning, and data mining are used to analyze present data and make future predictions. Market trends come under predictive analytics.

Diagnostic Analytics

The analytics looks into the problem first. Data mining, drill-down, and data recovery are the techniques that help you to understand the cause of the problem. It provides in-depth insight into a specific problem.

Prescriptive Analytics

Prescriptive analytics is a combination of predictive and descriptive analytics. It helps to prescribe solutions for the specific problem. Machine learning and artificial intelligence help to extract data for this analytics. The analytics provide particular recommendations on what should be done to make it better.

IIT Madras offers a data science certification course called ‘Executive Certification In Advanced Data Science & Applications’. The IIMT Pravartak Executive Certification in advanced data science & applications core objective is to introduce diverse methods in Data analytics, Artificial Intelligence, Machine Learning, and other mathematical foundations.

The course duration is 10 months with a hybrid learning model.

To enroll for this online data science course, visit Jaro education and follow the below steps:

Step 1: Eligibility Criteria

  • Qualification: Graduate/4-year Engineering Degree/B.Sc+M.Sc from a recognized university (UGC/AICTE/DEC/AIU/State Government/recognized international universities).
  • Minimum Experience: 3 years, preferably in software engineering and/or other disciplines involved in computational work.

Step 2: Application Process

  • Visit Jaro Education’s website and complete the application process. Selections will be based on a detailed profile of the candidate.
  • A write-up on ”Expectations from the Programme” will also be required.

Step 3: Payment Procedure

  • Once you pass the eligibility criteria, you will have to pay an admission fee of INR 1,500/- + GST
  • The total program fee will cost you INR 2,00,000/- + GST
  • Easy EMI options are available

Certification Course

The candidate who will successfully meet the evaluation and fulfil required attendance criteria will be awarded ‘Certification of Completion’ – Executive Certification in Advanced Data Science & Applications”.

Conclusion

Big Data analytics has an excellent future, and as a learner, you should take advantage of the chance to evolve yourself in the world of data science. That’s why register for online data science course certification with IITM-Pravartak Data Science and Application Process and climb the ladder of success.

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