What is Big Data Analytics?

Big data can always be related to massive volumes of data generated directly by the company or acquired from various sources. However, in order to truly utilize the data to its full potential, companies are always in dire need of skilled data analysts or business analysts. Big Data Analytics allows companies to use this data to their advantage by gaining valuable insights from this data, thus making more effective data-backed decisions.

Data Analytics Certification Courses with placement in IndiaThe Big Data Analytics course positively affects sales, decreases risks, optimizes production, helps understand customer behavior, and even allows companies to come up with more efficient marketing strategies.

This is all possible due to Big Data, Data Science, and analytics. Budding analysts are always advised to join well-orchestrated Data Science courses in order to acquire the skills required to effectively analyze the data.

The true intention of Big Data Analytics is always to promote more efficient use of resources and getting better results through data-centric suggestions from business analysts. It is highly recommended to opt for reputed business analytics courses in order to productively contribute to this field. Constructing data-based predictions is the key to making businesses run adequately.

Why is Big Data Analytics Important?

Fundamentally, Big Data Analytics allows companies to discover patterns, trends, and correlations from massive amounts of data. This allows companies to use the newly acquired information to their benefit, thus making more effective business decisions, increasing profits, and satisfying customers better.

From helping in marketing campaigns to improving production capabilities, Big Data Analytics can help with any sector that generates data. Analytics help companies make customers happier through understanding customer behavior and trends better.

Fintech courseData scientists and analysts help companies massively cut down operational costs by resources much more effectively. Decades back, even though “Big Data” did not exist, business analytics did. However, it was not a cost-effective process and demanded a lot of time.

Big Data Analytics online training allows data scientists and analysts to make this process much faster. With the advent of AI in analytics, Big Data Analytics can almost provide real-time insights from incoming data.

What is Data Science?

The value Data Science brings to business analytics is immense. It is responsible for everything in the process. Starting from sourcing the data and modeling it to the time that the required insights are acquired, Data Science powers it all. Data Science allows companies to effectively source transactional or raw data from various sources and then process it. This is where analysts come into play, they analyze this data and then help companies visualize the data.

What are the requirements to become a Data analyst?

How to become a data analyst? It might sound complex but it is truly not that hard. There are many good Data Science courses or business analytics courses available online and offline that one can choose from. However, care must be taken when choosing a Data Science course in India or outside, ensuring that you get the best out of your time and energy. Any good Data Science course in India will cover the fundamental skills required to become a data analyst and prepare students to effectively use analytics tools when working with Big Data or data in general.

 

Conclusion

Big Data makes it possible for organizations to store and harness the capabilities of massive amounts of both structured and unstructured data. Even though what Data scientists do is similar, Big Data Analytics requires exceptional skills when working with large volumes of data. A good Data Science course in India is highly recommended such as this PG program in order to gather the required skills to work with Big Data and Analytics.

Related Article:

What is the difference between data science and data analytics?

The Top Data Analytics Certifications in 2020 For Advanced Data Expertise!

The explosion of interest in technologies such as the Internet of Things (IoT), Big Data and Artificial Intelligence (AI) has stepped up demand for data scientists and analysts over the past few years.

Advanced capabilities in data analytics are just too critical to ignore at this point. In a matter of years, they’ve reached out from a niche sector to nearly every industry that generates any form of data. However, data analysts with the right mix of skills, experience and spirit of innovation are quite rare. This means businesses are well away from realizing the true potential of their data dumps and the insights that can be garnered from it.

Big Data Analytics Certification CoursesIf you’re interested in pursuing data analytics jobs sometime in the future, it is advised that sign up for big data analytics training opportunities within or through your company. If you’re a student or a fresh graduate, enrolling in a Data Analytics Certification Course is a sure-fire way to strengthen your core competencies and upgrade your skillset in the process.

Here are some of the top data analytics certifications you could choose from in 2020:

  • SAS Certified Data Scientist

To earn the SAS Certified Data Scientist certificate, you will need to pass all 5 SAS Certified Big Data Professional and SAS Certified Advanced Analytics Professional levels. They consist of two and three exams respectively. The exams test a student’s knowledge in big data preparation, programming, statistics, predictive modelling, text analytics and visual exploration.

Upon completing the exams successfully, the newly-certified professional can gain insights from big data using SAS tools as well as open-source options. The professional will also be skilled in creating machine learning business models to derive insights and influence decisions at a higher management level.

  • Microsoft CSE (Certified Solutions Expert)

This certification deals with data management and analytics. It consists of 12 exams; however, aspirants will first need to earn at least one out of the seven MSCA (Microsoft Certified Solutions Associate) certifications. The costs of the exams don’t include the training material, which a candidate can source directly from Microsoft.

This certification prepares you for building data solutions at an enterprise level and applying Business Intelligence approaches to big data. It also prepares you for the administration of SQL databases. After obtaining this certification, job roles such as database analyst, BI analyst and database designer are well within your reach.

  • IBM Data Science Professional

This beginner-level certification demonstrates the skills of an individual in the subjects of data science such as SQL, Python, data analysis, basic methodologies and open source libraries. The candidate will need to complete nine courses spread out over 12 hours per week for a total of three months. These courses will include practical experiments and assignments that contribute to the individual’s portfolio. The professional certificate earned at the end of the courses is branded with the IBM logo and add weight to any data science-oriented resume.

  • Cloudera Certified Associate Data Analyst (CCA)

The CCA certification requires that candidates pass the CCA159 Data Analyst exam, which is a set of 8 to 12 performance-heavy tasks on the Cloudera Enterprise cluster. Each task is allotted 120 minutes and involves analysing a problem and coming up with a technical solution that covers all bases and is highly precise. The Data Analyst training course from Cloudera helps candidates prepare for this specific exam.

By successfully completing this exam, SQL developers will be able to demonstrate core competencies in Cloudera’s CDH setup through using Hive and Impala.

Conclusion

Data analytics allows industries to revolutionise their business operations and implement insights gained from sifting through previously unstructured big data. Data analysts with any of these certifications in their kitty can expect to rise to the top of the CV pile.