In the past couple of years, the field of data science seems to have rapidly shot to fame. The main reason for this is ‘data’. In our information-driven world, all of us play quite a crucial role. Since the moment we wake up and glance at our phones, to the last moment of the day, we are all digital labourers, trying to generate the very data that acts as a fodder material for the companies over at Silicon Valley.
All of these high tech companies today are all for the increasing demands of data scientists and data analysts. Jobs in this sphere have been steadily increasing and have taken up permanent residence at the top job search engines all over the web. The various titles that beckon data aspirants are the likes of Data Scientists, Data Analysts, Data Engineers and many others. While the prefix of all of these job titles may lead you to believe that all of these professionals carry out the same functions, it is not really so. As data science happens to be a vast field with so many diverse verticals and untapped areas, there is always something new to do with someone new.
Coming back to how these similar sounding positions are actually quite different. Let us start with Data Scientists, these professionals are popularly known as the rock stars of the Information Technology industry. They are usually in charge of making accurate predictions, which help the businesses take most lucrative decisions. These individuals have a treasure trove of educational qualifications and experience.
They usually belong to a background of computer science applications, modelling, statistics or math. They have an ‘IT’ factor in the form of a combination of brilliant business skills and excellent communication skills that set them apart from the general public involved in the industry. Further division of roles for a Data Scientist could be becoming a Data Researcher, Data Developer, Data Creatives and even Data Businessmen.
Apart from Data Scientists, there is another career option which is called as Data Analyst. These professionals perform a wider spectrum of functions like collecting, organizing and analysing of data in order to derive important information from the same. They are also known as Data Visualizers as they are supposed to present this collected and processed data in the form of charts, graphs and tables and go on to build other related databases for their firms. They could diversify their careers by going into roles like Data Architect, Database Administrators, Analytics Engineers, and Operations and so on.
The major differences between these two positions are that a Data Scientist usually is required to be familiar with database systems like MySQL as well as Java, Python and so on. Whereas a data analyst must be familiar with other data warehousing and business intelligence concepts and must have an in-depth knowledge of SQL and analytics.
If we put the differences between the two aside, then we would infer that both the positions require a professional to do a thorough course in programming tools like Python, Big Data Hadoop, SAS Programming, and R Programming and so on. While these tools could be learnt by self-study, but most prefer institutes like Imarticus Learning to help them along their journey.
Contact Us for More Details or You can Call us on This Number Mumbai (+91 22 61419595), Bangalore (+ 91 80 45129918/924), Chennai (+ 91 44 42691466), Delhi-NCR (+91 124 4874033/40), Coimbatore (+91 9952168073), Hyderabad (+91 40 47123304/06), Pune (+91 8433905205) and you can do online courses for that you can call us on this number 18002677679.
Big Data Analytics is everywhere, across geographies, across industries. It is a known fact that the demand supersedes the supply of seasoned professionals in data science field. It is at the frontier of IT. Also, many IT professionals on a medium skilled level, are in danger of losing their jobs due to automation, giving rise to further need of upscaling their skills, and what better way than entering the field of big data analytics.
Keeping in mind with the growing needs of the industry, Imarticus Learning proudly introduces the ‘Data Science Prodegree’ Program in collaboration with Genpact, a global leader in Analytics.
Firstly, let’s agree that doing a course in big data analytics is the best career move, there is a soaring demand for professionals, as data is considered useless without the skills to analyse it. We are in an age where data is being created in high volumes, across channels and there is a dearth in the number of qualified professionals to accurately interpret it.
It is a lucrative career option with a starting salary of 5 lakhs for fresher’s to above 35 lakhs for 10 plus years of experience. Adoption of Big data analytics is increasing in industries, and according to the field gurus, it is becoming a high priority for most organisations.
So the “Why” of why you should do a course in big data analytics is pretty convincing.
Read on to gauge why doing the Data Science Prodegree Program with Imarticus Learning in collaboration with Genpact, be beneficial to you.
They are the pioneers in designing, transforming, and managing intelligent operations in the digital and analytics stream. They are the catalysts in running digital led transformation, through extensive digital, analytics and consulting capabilities, thus streamlining numerous processes for fortune 500 companies.
All these capabilities make Genpact the perfect partner for Imarticus, specially the expertise they bring to the program. Genpact has collaborated with Imarticus on design and content creation, hence ensuring that on completing the course the candidate becomes a job ready professional in analytics.
What does the Data Science Prodegree program offer, and how is it designed?
The data science Prodegree program offered by Imarticus Learnings, in association with the knowledge partner Genpact, is a program spread over 200 hours. It covers all foundational concepts of leading analytical tools, such as SAS, R, Python, Hive, Spark and Tableau, it includes self-paced videos and project work. The course is delivered by faculty with over 10 years of experience in the data analytics industry.
The Course is spread over 4 semesters, which will gauge the candidates with timely assessments, after each semester, and additionally will help them gain theoretical knowledge of data science tools along with exposure to business perspectives and industry best practices, as the program is assisted with several guest lectures and data based project work. All this will eventually help the participant develop an essence in data science and analytics.
The program is a hybrid model between class room lectures, by expert faculty with industry credentials and self-paced instructor videos to manage to learn at your own convenience. A mix of conceptual and application based learning.
Basically, it is a course designed to upscale your skills in analytics.
Who should consider enrolling for the course?
The Data Science Prodegree program is beneficial for professionals or students who are firstly, interested in building a profession in the analytics industry. Secondly, individuals who are keen in enhancing their technical skills with exposure to cutting edge practices.
So if you are a post graduate with a degree in science math, statistics, or computer application, or if you are working as a professional in programming or IT, with an experience of not more than 4 years, with an objective to sharpen your skill sets and change career paths, you should strongly consider enrolling for the Data Science Prodegree Program.
Where do I stand post the course completion in the Data Analytics Market?
Top companies are hiring for business analytics, companies like Visa, Amazon, Facebook, and overall industries of all nature are recognising the importance of data analysis and hiring to meet the demands.
On completion of the course, not only will you be trained in a manner which will make you a job ready professional in the data analysis industry, but the Data Science Prodegree Program will also assist you in resume building, interview preparation by conducting mock interviews and will also assist you with a placement portal, through private and open networks on their placement portal.
So from relevant content designed by industry stalwarts, to industry centric faculty, instructionally designed modules, and great networking opportunities, to ensuring you pick up skills in not only the theoretical concepts of data analytics, but also gain learning knowledge of the technical tools. Ample assistance in picking up the best jobs in the industry, the Data Science Prodegree Program from Imarticus Learning, offers you all.
Give a boost to your career and enrol now!
Data Analytics, Big Data, Data Scientist, these are no longer big terms from a far away profession, these words or rather roles are becoming catalysts, impacting the growth of our businesses and enhancing the overall experience we get in doing our daily tasks.
Our online presence is not a matter of choice anymore; we often find ourselves using online portals to shop, connect with a doctor, research, basically from going on a vacation to preparing for motherhood, marriages, and dating, to banking, and even school and college admissions, all of these are done online, we even use social networking to express ourselves, through tweets, posts etc…,
Excessive usage of the internet creates online activity logs that contain humongous amounts of data.
Now imagine the camera’s mounted almost on every corner of the street and satellite based observations like the google map and google earth, they also collect data in large numbers on how people conduct themselves.
This data that is generated is being collected in large numbers around the clock, in real time and historic, this data further needs to be extracted, however, it is easier said than done, data is huge and extraction and explanation of the same cannot be done effortlessly. Most of the data collected is unstructured and not authentic, so you need to be wise to catch the correct characteristics at the right time.
People who can perform this extraction in a functional manner and make sense of it are called, Data Scientist or Data Analysts. The competencies that help them in this task are, sound knowledge of Mathematics, Computer Science, and Statistics.
The job of a data scientist is not only extracting data and analysing it, but to clean the data in such a manner that they can also predict and forecast trends for an assigned business, based on certain hypothesis or conditions. And that is the uniqueness they get to their job, the ability to accurately pre-process data and predict and forecast, sets one data analyst apart from the other.
A career in big data has become a dream choice for most job seekers these days, there is a lot that an organisation can achieve with the right application of data science. Some companies have identified this, and are either training their internal staff on the skills required to perform the job, while others are not yet too open to hire a full time resource. Although that day is not too far when the position of a data analyst will become imperative in every organisation.
If you are planning to enter the data science industry to make a great career in big data, then you need to adapt and acquire certain competencies and expertise in data analytics related tools, in addition to the above mentioned prerequisites. For example, programming languages, like R, and Python, SAS, a working knowledge of Machine Learning, and Predictive analysis. Also a sound knowledge in the industry you plan to work for, e.g., healthcare, or IT, Education etc.., will be an added advantage.
There is a huge gap between the demand and available resources in the field of data science, hence making a career shift in this direction would be wise and also lucrative, recent researchers have suggested that a data scientist earns more than experienced engineers. Clearly, this is a field with huge potential.
Do take up certifications, that will further assist you to springboard yourself in the field of data science.
There is a lot of confusion in the data science Job, as it is relatively new profession. We have got a lot of queries about Data Scientist salary and there career path. In this blog will talk about the how data scientist came into a picture and what is the starting salary for this job.
Statistics state that history’s most unbalanced demand and supply ratio is seen today in the Big Data Industry. It is known that in the U.S.A there would soon be a shortage of around 140,000-190,000 professionals, with the required skill set for data analytics. With a tsunami like amount of information being generated by firms on a daily basis, it becomes difficult to for them to make sense of it.
This is where the Data Scientist or the Data Analyst comes into the picture. These are individuals equipped with a certain skill set, who can take all this information or more popularly known as data and make sense of it. They work with great volumes of data sets, study them and generate various insights which help the company prosper.
As this is a fairly new thing, there are a lot of areas which are clearly out of focus. There has been no clear distinction between the two terms ‘Data Scientist’ and ‘Data Analyst’ and people still haven’t had any clear cut idea about what is meant by either Hadoop or SAS Programming and so on.
As this field needs a specific skill set like statistics, an eye for drawing out the patterns, being great at analysis and exceptional at programming knowledge; makes the number of professionals apt for this job very limited. The fact that there has been a rising demand in the firms for Data Scientists, states that the career prospects in this field have grown exponentially.
Glassdoor placed it in the first position on the 1st, as a Best Jobs in America list. According to IBM, demand for this role will soar 28% by 2020.
It is believed that the field of Data Analytics would be further divided into three different categories. These would be for professionals who would be good at coding and creating languages to sort the data, people possessing exemplary statistical skills and those who have an eye for drawing traits and patterns from the same.
With the Data Analytics Industry becoming dynamic by the day, the prospects for someone looking to make it their career are really high. The average salary of a Data Scientist starting into this industry can range from 3lakh-4lakh and can go onto 12lakh- 20lakh per annum.
There are a lot of courses offered in Data Analytics today, whereby any aspirant can get trained in various data analytics tools like R Programming, Python, SAS Programming, Big Data Hadoop and many others.
At, Imarticus Learning we offer various short term and long term courses in Data Analytics and the tools therein.
Follow Us On Social Media
Data is omnipresent, it is available everywhere. We cannot deny the fact that data is changing the world in ways we cannot fathom. We are at a time, where we are witnessing innovation in the way we are collecting and interpreting this data. Big data analysis is a groundbreaking step and it is only becoming bigger by the day. We are slowly realising that the use of data in almost all aspects of our lives, is actually making our lives simpler, at the same time it is presenting an opportunity for us, by helping us shape the world that we live in for the good.
There are many mainstream uses of data, which can be collected from various sources, and on interpretation can produce huge values. For example, e-commerce sites, that increase revenue with the inputs from customer feedback and shopping pattern.
Eventually, every aspect of our lives will be impacted by the advent of big data. It is not all buzz without action. There are some significant areas where big data is already making a difference, in fact in some areas it is doing so in a camouflaged approach.
Analytics is working in wonderful ways, and it has found some pretty interesting applications.
A quick read below will reveal some unobserved ways in which big data is touching our lives :
1. Enhanced Sport Performance
Most select sports are now using the benefits of big data analytics, video analytics is used to map the performance in football or baseball, sensor technology is also used in the sports equipment such as basket, golf clubs which relay feedback over smartphones, via cloud servers, on how to improve performance in the game. Health bands help track activities of sport persons outside of the sporting environment to keep a check on their nutrition and sleep also social media usage and conversations to understand the psychological wellbeing.
2. Elevating Machine Performance
Big data tools are used to control autonomous cars, for example, Toyota’s Prius is equipped with GPS, powerful computers, and sensors to safely drive on road without human intervention. Computer performance can also be enhanced by using big data tools.
3. Augmenting and Refining Cities and Countries
Many cities use big data to improve aspects of its functioning. For example, traffic situations could be better controlled, by getting factual data, by weather understanding and through social media. Some cities ae planning to use big data to upgrade themselves as smart cities, where the transport, infrastructure and utility processes are all interconnected. In other words, a train would wait for a delayed plane, or where traffic signals change their functioning on predictions to minimize traffic jams.
4. Use of Sentiments in Elections
Big data analytics can impact the way we choose our leaders, or perhaps the way the leader ensure we choose them by appealing to our sentiments and needs, voter models are designed to identify specific voters who could make a difference in elections and specifically target messages to those voters. The Obama campaign in 2012 presidential elections took this to another level into their stride.
5. Better Healthcare
Big data, with its computing ability, can assist us to decode entire DNA strings in moments. This will allow us to achieve better results and maybe understand or better still predict disease patterns. It can almost help us identify epidemics and outbreaks by linking data from medical records along with social media analytics, and imagine all this will be in actual time. Just by reading messaging like ‘not feeling good today” or “in Bed no energy” on social media.
As time extends, there will be many applications and tools of big data that will have a variety of possibilities. While it can be debated how this data is invading our privacy, it is best to look at the bright side and acknowledge how this data will make our lives easy.
By now it is mostly common knowledge, that Big Data is essentially a large volume of information collected through myriad sources, in various formats, it is also understood that this big data has a key to all future plans and strategies that the company needs to adopt if it truly wants to succeed.
True, big data is information gathered from the internet enabled services, social media, and other similar sources. It can be typically characterised by 4 V’s…
- Volume – it is getting vast as compared to the traditional sources through which data used to be captured
- Variety – data comes from various sources, machine generated and people generated
- Velocity – the speed at which this data is being generated, it is phenomenal and never stops
- Veracity – basically the quality of data, as one has little control of the volume.
The evolution of the technology has helped organisations apply the findings, not only while strategizing but in almost every aspect of the functioning of an organisation. For internal and external benefits. Merely capturing data is not beneficial, but to understand what insights you get from that data is paramount in decision making. In the ever-evolving business environment, having historical insights is not enough, but to get accurate future predictions, using data analysis and predictive modelling and visualisation techniques is also colossally essential, mostly while developing strategies.
Big data, eliminate intuition such that all imperative decisions can be made through a structured approach, and with a data-driven insight.
To put it simply it is a broad three-step process performed in a loop. (a) Manage Data- extract relevant data (b) Perform analytics on the data – gain insights and use algorithm’s (c) Make Decisions.
Big Data can further Benefit organisations in the below mentioned 5 areas
- Comprehend market Conditions – through big data, organisations can predict what future customer behaviour will be, purchasing patterns, choices, product preferences. This will leverage the company, and help contest competitors.
- Know your Customer Better – through big data analysis, companies come to know the general thought process and feedback in advance and make course corrections. Companies can reduce complaints and act on it before it becomes big. There are big data tools that predict negative emotions, prompt action can be taken to mitigate the same by organisations.
- Control Online Reputation – Sentimental analysis can be done through Big Data Tools; thus a company can check on what is being said by whom online and manage their online image efficiently and effectively.
- Cost Saving – firstly, there might be an initial cost of application of big data tools, but in the long run, the benefits will outweigh the cost. Secondly, with the application of real-time big data tools, the IT staff will be less burdened, so these resources could be used elsewhere, and lastly, the application of big data technology will make storing of data easier and more accurate.
- Availability of Data – Through Big Data tools, relevant data can be available, in an accurate and structured format, in real time.
The value of Big Data Insights is priceless. One needs to have the patience and discipline while application of the same. Ask the right question to gain accurate insights. With the quality of data, the possibilities are great, for businesses to flourish.
Blended learning might have many connotations for many individuals. It is essentially a hybrid approach with a combination of online delivery of content and the traditional live face-to-face based instruction. For some, the definition or understanding of blended learning so boards that any integrated use of technology into the learning experience might result in it being branded as blended intervention.
What is Blended Learning?
In the true sense, blended learning is more of a pedagogical approach in education which brings the best of socialisation opportunities of the classroom and marries it with the flexibility of technologically enhanced active learning possibilities of online teaching experience.
The teaching landscape has witnessed a great evolution over the last century, there has been a technology uprising especially in the last decade which has impacted the way people learn. The availability of smartphones, tablets, Kindle, accessibility of the internet almost everywhere on the planet has rapidly impacted the way we learn and the generations to come will. Technology will continue to integrate into our lives and education and learning and development portals have accepted this fact and are willing to embrace it for the advantages it brings. Thus one will see the uprising in the acceptance and usage of blended learning approaches.
Blended Learning Models are very segmented in nature and hence is gaining popularity in the education forums for its ability to personalisation to fit the individual’s learning needs. The course can be designed from the many available models, to suit the topic or audience, for example, instead a traditional mode of delivery, one can choose the online method, where face to face interactions are periodic or limited, or offer Rotation method where the participant rotates between self-paced online learning and personal instruction schedules which are fixed but flexible in nature. They can also take advantage of the Flex method which for its majority is online delivery and participants can get instructor interactions on request as a support.
Advantages of a Blended Learning Approach
In the true sense, this approach is a win-win situation for the Instructor, Participant and the Topic i.e. the teaching condition is conducive to the topic of learning.
The Blended Learning Approach is breaking the traditional wall in some sense and addressing issues of individuals rather than approaching it as the whole, where the needs of a few were neglected. With the currently available technology, courses can be personalised to individuals learning capabilities. The technological integration also breaks down the conventional issues like time, where the participant has the flexibility to learn at their pace around a time in the day which is most convenient to them.
Instructor gains access to global resources, and materials which match the students level of knowledge and interest. Teachers can offer personalised interactions in private through chat rooms, emails etc., in turn helping the learner me more effective. Due to online portals, students get availability to their learning graph, which reduces the stress from the teachers allowing them to focus on the areas of weaknesses and bridge the skills gap more efficiently. Teachers can use technology to introduce a variety of activities and engage students through different learning styles. Instructors with the help of technology can reach and motivate slow learners or hard to reach participants creating individualised professional development plans. It also offers to teach as a professional to people located in remote or low opportunity areas, thus creating more earning potential and activating dormant careers.
Participant stays focused when technology is introduced in a teaching set up, focus and excitement increase. Subsequently, the retention ability is also enhanced due to continuous reinforcement. With the access to the internet the availability of resources increases, where inquisitiveness is fuelled by research, guaranteeing consistent engagement of participants and students alike. It gives rise to student autonomy, making the participant in charge and responsibility in setting personalised goals and learning pace, instilling a sense of ownership. This is phenomenal as the participant is not only learning the subject or topic but is also getting prepared in real live skills, thus directly impacting the future skills, like decision-making, resilience, self-engagement, research skills.
Topics or scale of information, it’s penetration or reaches also increases. It reduces isolation, participants or students sitting across any location can take advantage of the wealth of information and opportunities which were only available to the select few of the cities in the past. Thus offering more collaboration and networking opportunities. This, in turn, leads to better student data making the path for professional growth.
With all of these interesting facts and things being stated here, Imarticus Learning has taken an uptake over the Blended learning and we have created courses best suited for the people interested in Banking, Finance and Analytics industry.
To conclude, it is important to note that each individual will have a different learning style, the instructional design should focus on the visual, auditory and kinetic learners alike while designing corporate courses or in education. Integrating technology effectively can improve the retention, engagement and enjoyment for participants. Increased availability of technology in learning or blended learning approaches thus becomes imperative in today’s time irrespective of the nature of education in schools or corporates alike.
Swiping in and out daily at the same place for years together was already a thing of the past. We are undergoing a paradigm shift in our perception of the traditional ways of earning our wage. And that is the Rise of the Freelance Worker, the emerging trend. Rapidly growing numbers in the freelance economy are astonishing. About one-third of all workers are freelancers, self-employed or project based employees. Certain research predicts, by 2020 half of the workforce will be in the above category.
Is this good news or a doorway that is leading to chaos? Although inevitable, trade pundits forecast this to be a positive trend. They endorse, the boon in the freelance economy is here to stay and that it has a positive impact on business. Freelance economy builds a platform to bring together great, experienced talent, with the relevant expertise and skills. They collaborate on a project with a defined lifecycle, could be long or short termed, join forces with the team, which is aligned to perform the given task, where each individual is respected as they are getting something valuable to the table.
And on the successful completion of the project move on to perform other tasks. In doing so they are constantly sharpening their saw and do not feel tied up to one profession or organisation or a role, they do not have to face the rigmarole of a 9-5 job, which in many ways is viewed as the old economy.
Some argued that freelance and full-time jobs share an inverse relationship in the economy. So during times of economic downturn or recession, full-time job openings would freeze and you would see many individuals working on a freelance basis. However, this is debatable, as in recent times with the job economy being constant we are seeing a rise in the freelance industry.
Why is there a change in Paradigm? because of high wage inflation, complexity and cost that goes into training and retaining people, the fixed cost infrastructure, compliance factors like provident fund, taxes etc.., has a direct impact on the cost of doing business. A more linear approach where the rise in revenue does not have a direct impact on a rise in full-time jobs is desired. Companies can easily outsource 20-25% of their workforce by the strategic application. Trends suggest that things are already moving in this direction, where large organisations are retaining core teams and use external resources for hyper specialised skill sets that are nice and not feasible to train or build internally. It is also observed that companies during the initial phase or smaller companies outsource their core jobs as they find it hard to manage the skilled talent on a full-time basis.
Perception Change in the definition of Freelance: In earlier times Freelance would mostly translate into jobs associated with the service industry. Now, you see it penetrating in most sectors. Another mindset change is that earlier outsourcing jobs would mean low-value work like data entry there was nothing for executive roles. however, as mentioned above hyper specialised jobs are a part of high-value projects that are now outsourced to freelancers. It isn’t about temp labour anymore, there is an increased dignity in engaging in the freelance workforce.
There is an untapped pool of women and retired professionals which the freelance economy has been able to tap. Bridging this gap is becoming easier thanks to the ever increasing internet accessibility.
They’re a platform available which acts as a catalyst for the right talent to meet the right company. The digital marketplace connects freelancers with assignments in various areas, on a global platform. This further organises the freelance economy and helps work reach the right talent force. The digital platform also creates pricing transparency at the same time urges the freelancers to stay on top of their game by keeping competition alive, by putting pressure on the prices associated with services.
Is it really as lucrative and easy as it sounds? Not all this is as easy as it sounds, Freelancers are in some sense, entrepreneurs, or to put it better micro-entrepreneurs. They are not only responsible for doing the assigned task but are also responsible for getting work, managing clients, networking so that the projects keep rolling in, manage the consistency in the level of the job performed. Not only that, there are times when one person is juggling between two assignments may be from very diverse fields, it requires a lot of gumption to be focused and perform with the consistent fluidity.Discipline and commitment are intangible requirement to make a mark in the industry so that you get repeat clients.
The resources are there, the Freelance Economy is booming and leaping upward if you are a committed and focused, talented resource there is no stopping you!
You cannot achieve tomorrow’s results using yesterday’s methods, and this line is the need to understand and accept the impact of BIG DATA and growing demands of business.
Big data means access to big information, leading to abilities in doing things you could not do before.
Case in point – a small exercise…
Before you read ahead, check the posture you are sitting in, now look around and check the posture of others sitting beside you, observe… what do you see? Someone is slouching. Someone has their legs crossed, elbows resting on the armchair, palms pressed against their chins, a constant moving of the limbs. Not everyone sitting around you has the same posture. What if we put many sensors on the chairs around you to help record and create an index, which is unique to you, which says person X sits in these particular postures during specific intervals of the day?
In addition, say what if this data was sold to car manufacturers as an anti-theft design to help recognise that the person sitting behind the wheel is not the same and say until he keys in a password the car even though entered would not start.
Now imagine what if every single car in the world had this technology, think of the benefits of aggregating this data. Maybe we would be able to predict which postures while driving would lead to an accident say in something as close as the next 7 seconds do, and alert the driver to change position or take a break from driving.
Now my dear reader THAT is the power of BIG DATA. It can help record, collect, understand, predict, and prevent events from a random collection of information.
So if that is so useful where lies the problem? Why is the world not already a better place?
Because there is a gap between opportunity and demand in skilled professionals to help comprehend and present valuable insights into specific relevant trends, big or small from the available data.
Big data is all around us and there is a calling need to preserve all the generated data for the fear of missing something that could be important. Hence, comes the need for big data Analytics, Big data is crucial to do better business, to take accurate decisions and in always being a step ahead of your competitors. Therefore, if you are a professional in the Analytics domain there is a sea of opportunity waiting for you to dive in.
Big data Analytics is Unfathomable and depending on the environment one can choose from
- Prescriptive Analytics
- Descriptive Analytics
- Predictive Analytics
Big Data Analytics market is predicted to surpass $125 billion in between 2015 – 2020, which in turn in some sense means handsome pay brackets for the skilled individual.
- Salary Aspect
To improve the performance of the organisation, most companies have either already implemented or are in the process of implementing Big Data Analytics, as they already have the data at their disposal.
- All Organisations adopting some form of Data Analytics = Growing Market
There is a big gap in skilled professionals who are able to convert the data available. The ability to see small trends from the pool of big information. Which ultimately advances the organisation in the right direction. There are two types of talent deficits. Data consultants – who have the ability to not only, understand but also use the data at hand in the appropriate way and the other is Data Scientists who can perform analytics.
- Skill Deficit
Big data Analytics is not restricted to any specific Domain; it can be and in recent times is being used in Healthcare, Automobiles, Manufacturing and more, creating a massive global demand.
- Global demand across industries
Analytics becomes a competitive resource for organisations, according to certain studies Analytics has already become the most important asset in current times. Because we are emerging from the undeveloped analytics trends to more advanced forms. It is undeniable that Analytics plays a vital role in decision making and taking strategic initiatives for the business.
- Importance of Analytics for Better Decision Making in Organisation
So in deduction to the above, Analytics no matter how advanced is human dependent. These are exciting times for skilled people who can comprehend data and give valuable insights from the business point of view. A trained individual with the right Analytics insight can master an ocean of big data and become an indispensable asset to the organisation becoming a springboard to the business and their career.
Did you enjoy knowing about Big Data Careers? Read some of our Blogs:
The best possible example of the usage of big data analytics can be found in the legendary fictional works of Sir Arthur Conan Doyle. Sherlock Holmes, as we all know him today through the famous crime detective show, Sherlock is said to be one of the biggest patrons of this concept. The world’s first consulting detective, Holmes once said, “It is a capital mistake to theorize before one has data.” These words uttered during the case of A Study in Scarlet, hold true as data proved to be his timely assistant in solving extremely difficult cases, by helping him come to perfect deductions.
As we accumulate more and more of this data, we feel the need to have optimal processing skills and analytical capabilities in order to process it. India, as a country has been making a lot of growth with many government agencies and private companies, getting on board with the data analytics revolution. Continuing in the same vein, the Comptroller and Auditor General (CAG) has also put together the ‘Big Data Management Policy’ for Indian audit and accounts departments, in order to foster the use of data analytics and ensure the improvement of their functions. Many more efforts are being taken in the same regard, like for instance the Centre for Data Management and Analytics (CDMA) has been inaugurated, in order to synthesize and integrate relevant data for auditing process. The aim here is to exploit data rich environments, on both the state level as well as the central level in order to develop the audit and accounts department.
Data has always helped humans in increasing the level of their decision making skills, in every field of medicine, science, and technology. The recent couple of years saw a great surge in the availability and accessibility of Big Data and its storage options. With big data coming to the fore, it has begun arriving on the scene with alarming velocity, volume, and variety. With so many technological advancements revolving around the accessibility and storage, have led to the opening up of new and empowering possibilities.
On the other hand, there are DISCOMS, which are set up for capturing all the data from the sensors, which are installed in order to analyse the power usage patterns, so as to put together preventive measures for Aggregated Technical and Commercial losses. All the cloud based and predictive analytics solutions given by industries in retail, telecom, and healthcare, have collectively resulted in the rapid growth of the country’s industry and economy. Today as it stands, India has about 600 data analytics firms, in addition to the 100 new start-ups, that have been set up in the year 2015. This clearly reflects on the demand for data scientists in the not so far away future. This is why a number of students have been attracted to the field of data science. As not many generic educational institutes are able to provide the required training, many candidates seek help from professional training institutes like Imarticus Learning, which provide a number of industry endorsed courses in the field of Finance and Data Analytics.