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Tag: big data andhadoop

Data Analytics, Productivity, and Well-being: Are they interrelated?

Posted on by Imarticus Learning

Forms and benefits of data analytics have shifted majorly in the last few years. Major firms have also been using it as a way to decipher the habit patterns of their employees to take care of their well-being. Needless to say, their wellbeing directly relates to their workplace productivity. However, with the evolution of data analytics, data analysts also have to be able to evolve constantly.

And that is only possible when they have the proper training to adapt to situations, and that can only happen if they learn data analytics from a proper institution. Imarticus Learning has come forth with a great opportunity for people who would like to polish their skills with their new PG program with data analytics and machine learning certification.

Coming back to the impact of the well-being of employees on company productivity, studies have found that being comfortable in their workplace can make the workers about 12% more productive.

Data analysis as a tool to ensure happiness

Major firms have been trying to gather and decipher the patterns of their employees’ behavior to provide a personalized experience to them for some time now. There are a lot of ways companies have decided to approach it. Some offered wearables to their employees that will teach how much time they spend, sitting, talking, writing, or moving about. Some have chosen the company intranet to trace their online tracks.

Now it falls to the data analytics team to extract, and decipher these patterns. It is fruitful in the sense that these patterns always give indications of not only their physical health but also their mental ones. This is also a way where companies can provide personalized suggestions for their well-being. And the employees get benefitted from it in a way that impacts their daily life. As a result, they feel more loyalty towards the company.

Hurdles to jump over

There are some evident advantages of exchanging data for the betterment of the employees’ wellbeing, and in turn, increase their productivity. However, it is also a possibility that when it comes to data gathering and analysis, the employees might have some privacy concerns about them.

Which in turn, might make them unwilling to participate actively in the bandwagon. This is why, there are a few things that should be kept in mind when it comes to the interrelation of wellbeing and productivity of the workers, such as:

  • The first and most important thing is to make sure the workers consent to the exchange of data for the company’s use, as many might have privacy concerns relating to that.
  • Companies will need to have experts in the analytics team to properly extract and use the data and make it a priority for both the main wing of the business and the analytics team to prioritize the employees well being.They need to communicate properly to the workers how it benefits them and the company both at once.
  • The key is to recognize what the employees want and be able to cater to it. Otherwise, even after using data analytics to define the workers’ needs, it will be utterly irrelevant.

Conclusion

Using data analytics as a mode of communication between the employer and employee needs time and expert skills. And it can only come if you learn data analytics from a good place. Many institutes in India offer a data analytics certificate course. Imarticus Learning is one of the topmost among them, so do check out their PG program of data analytics and machine learning.

Why Is It So Easy To Get an Analytics & AI Certification, But a Struggle To Get The Right Job Interview Opportunities ? Imarticus Has an Answer

Posted on by Imarticus Learning

The data science domain is expanding. With it, the demand for AI, ML, NLP, and other data science careers is also rising. Reports suggest that there were 2.9 million data science job openings in 2019 alone and by 2026, this number is going to go up to 11.5 million.

Despite this huge demand, getting a good job in the AI and Analytics field is a real struggle. Many aspiring people do many courses in different branches, be it computer visions or deep learning. But when it comes to securing a job, a lot of them find it extremely difficult.

Key Reason for Difficulty in Job Seeking

While most of the people blame it on the companies that they don’t understand what they want, the harsh reality is that most of the aspirants in this sector lack the important skills required to get a good job interview opportunities. Many candidates are not competent enough to grab a job role in data analytics or the AI field. Data science is a complex field that requires an extensive amount of knowledge and a high-level skill-set.

Though many students do certificate courses from various institutions online, most of the time they do not get taught and trained the right way. It results in students missing out on important concepts, analytics, and numerical aptitude. When these students go out in the real world, they end up facing rejection on their job applications.

The thing is if students want to build careers in the data science field, they need to be exceptionally well at it. For this, they need to pursue a course that builds their foundational and advanced knowledge in-depth and provides them with the crucial practical skills required in the real world.

Imarticus Learning PGA – The right way

Imarticus Learning offers a Post Graduate Program in Analytics & Artificial Intelligence that teaches the in-demand tech skills in the job market at present. The teaching method involves engaging videos, live sessions, and exercises.

data analytics courses in IndiaIndustry professionals having years of experience in this field deliver ML, computer visions, and deep learning training projects.

Upon completion of the post-graduate program in data analytics course, Not only but students also get guaranteed job interview opportunities and placements in leading companies.

The PGA course covers theory and practical learning on the following subjects:

  • Data Science Fundamentals
  • Deep Learning
  • Machine Learning
  • Computer Visions
  • Natural Language Processing
  • Placement Preparation

During the entire duration of the course, students are provided with a mentor who supports them in their academic journey and guides them in their career path. The mentor performs the following roles:

  • Motivate and Inspire to engage in projects and their completion.
  • Monitor your grades and potential.
  • Build meaningful connections that will help you beyond the course.

By studying the PGA course with Imarticus Learning, students get complete support and guidance throughout their learning process. The career services provided with this course include:

  • Guaranteed Jobs
  • Resume Building
  • Interview Preparation
  • Profile Enhancement

Job Roles after PGA Course

Upon successful completion of the Imarticus Learning PGA course, you can find suitable careers in:

  • Business Analyst
  • Artificial Intelligence Engineer
  • Data Analyst
  • Machine Learning Engineer
  • Data Science/Machine Learning Consultant
  • Web & Social Media Analyst
  • Machine Learning Architect
  • Data Scientist

The salary packages in these job roles are quite lucrative. The average pay scale in Analytics & AI roles is around INR 5 LPA to 25 LPA.

Joining Procedure of PGA Course

Candidates interested in Analytics & Artificial Intelligence can join this program for building a successful career in this field. The joining procedure is simple and includes three steps:

  • Detailed Profile Check
  • Online Tests
  • Enroll

The prerequisites for the course include a graduation degree with a minimum of 60% and a basic understanding of mathematics and programming. With data analytics course, students can get the best education and make their dream of becoming a professional in this field come true.

The Growing Need of Data Storytelling as Salient Analytical Skill!

Posted on by Imarticus Learning

Data storytelling is a methodology used to convey information to a specific audience with a narrative. It makes the data insights understandable to fellow workers by using natural language statements & storytelling. Three key elements which are data, visuals, and narrative are combined & used for data storytelling.

The data analysis results are converted into layman’s language via data storytelling so that the non-analytical people can also understand it. Data storytelling in a firm keeps the employees more informed and better business decisions can be made. Let us see more about how data storytelling is an important analytical skill & how it will help in building a successful Big Data Career.

Benefits of Data Storytelling

The benefits of data storytelling are as follows:

  • Stories have always been an important part of human civilization. One can understand the context better via a story. Complex data sets can be visualized and then data insights can be shared simply through a story to non-analytical people too.
  • Data storytelling helps in making informed decisions & stakeholders can understand the insights via Data storytelling and you can compel them to make a decision.
  • Data analytics is about numbers and insights but with data storytelling, you make your data analytics results more interesting.
  • The risks associated with any particular process can be explained to the stakeholders, employees in simple terms.
  • According to reports, more data is produced from 2013 than produced in all human history. To manage this big data and to make data insights accessible to all, data storytelling is a must.

Tips for Making a Better Data Story 

  • If you are running an organization, make sure to involve stakeholders/investors in data storytelling. This helps in increasing clarity in communication and they do not find a lack of information.
  • Make sure to embed numerical values with interesting plots for a data story. Our brains are designed to conceive visual information faster. Only numerical insights will make the data story boring and more complex to understand. The data insights should be conveyed in a layman’s language through a data story.
  • Data visualization should be used for data storytelling but it should not hide the critical highlights in the data set.
  • Make sure you imbibe all the three aspects of data storytelling which are visuals, data & narrative. The excess of any attribute can hamper the effectiveness of your data story.
  • The outliers/exception in the data set should be analyzed and included in your data story.

The Growing Need for Data Storytelling 

New ways of data analytics like augmented analysis, data storytelling, etc. are surging a lot in recent days due to the high rate of data production by firms/businesses. One can learn analytical skills from a Data Analytics course from Imarticus Learning. To build a successful Big Data Career, you will need to learn these new concepts in data analytics.

big data analytics courses in IndiaConclusion 

Imarticus Learning is one of the leading online course providers in the country. You can learn key skills via a Data Analytics course from industry experts provided by Imarticus Learning. Start learning data storytelling now!

How Big Data Analytics Course Help to Achieve Better Data Management In Banking?

Posted on by Imarticus Learning

What is Big Data Analytics Course?

Banks create a huge amount of data regularly. The speed of data creation is slower than the speed of processing this information. The Big Data Analytics course can help the banks to diversify the data into Big Data that can be stored in a divided manner for better understanding and longevity.

Big Data Analytics Course focuses on the Collection and organization of the data and its conversion into such information that is worth analyzing and studying to draw meaningful conclusions. It educates about the ways to handle Big Data that cannot be used making use of the traditional methods.

Companies require specialized personnel of Big Data Analysts specifically for this job. Jobs in this particular field are shooting because of the usage of the internet and technology at large. This amalgamation of Finance and Technology can give rise to Fintech (Financial Technology)

What are the sources of Big Data?

Analysts can find Big Data whenever they want to make use of it. Some of the most important sources of Big Data are mention below:

  • Sensors- Used in Cars, Industrial machinery, Space, Technology and CCTV Footages, etc.
  • Social Networking Site- Facebook, Twitter, Instagram, Google, etc.
  • Transportation Services- Data from Aviation, Railways, Shipping, etc.
  • Online Shopping Portals- Data from Amazon, Flipkart, Snapdeal, eBay, etc.
  • Institutions- Data from Hospitals, Banks, Software Companies, Educational Institutions, etc.

Characteristics of Big Data

Big Data has been characterized by 3Vs. All the Vs stand for the following:

  • Volume- Data in Tera Bytes, Zeta Bytes, Giga Bytes, etc.
  • Velocity- The speed at which the data grows fast.
  • Variety- Includes the unstructured and Semi-structured data.

Advantages of Big Data Analytics Course in Banking

Big Data Analytics Course has been proved advantageous in numerous fields and industries but the Banking Sector has been able to make the best use out of it so far. The following points show how Big Data Analytics Course can help Banking Sector to achieve Better Data Management:

  • Boosting the Overall Performance

data analytics courses in IndiaAs far as the performance is concerned, both the employees’ and the bank’s performance can be analyzed through Performance Analytics. The Big Data Analytics Course helps to ascertain the loopholes in the performances that can be corrected in the future course of action.

  • Providing Personalized Banking Services to the Customers

The deposit or withdrawal of money in a bank account or the usage of bank cards at shopping sites, all are activities or information of the customers that a bank has. By using this information and the tools from the Big Data Analytics Course, banks can design some personalized services for their specific customers. This can benefit the banks by the way of increased customer loyalty.

  • Managing the risks to the Data

With a discreet vision of the market, banks can regulate their policies or can bring changes in their framework. If the return from the market keeps running low, after analyzing, banks can raise the loan interests for the customers in that respect.

To avoid frauds, banks can turn down or withdraw payments from questionable Investments in the market.

  • Sentiment Analytics

Under this, the banks analyze the data through social media and understand the patterns and behaviors of the customers on social media platforms. This helps to know the sentiments of people about a brand, firm, Company, or product.

Conclusion

Anyone aspiring to be a Big Data Analyst must take up a  Big Data Analytics Course. Considering the current scenario where every company deals with its data through Information Technology, the use of Big Data Career is on the rise.

Related Article:

How To Upskill Your Career In Big Data Analysis