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Tag: big data analytics courses

What are the Use Cases of Big Data in Real Estate?

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Catching up on big data & real estate

Real estate is comprised of assets such as property, land, houses, and buildings. Real estate is a budding sector where properties are dealt with every now and then. Real estate agents facilitate the buying and selling of homes, land, etc. on the behalf of the parties whose interests are vested in it.

Big data is a common term that is widely accepted for large sets of data which is analyzed using various computer software to bring out trends and other insights to understand consumer behavior and several other aspects of the economy.

How is big data related to real estate?

Big data has transformed the way data is perceived these days. It has facilitated a smooth analysis of data and the extraction of vital information. Real estate involves a huge client base thus involving a huge amount of data. There are buyers, sellers, financial institutions and a lot of other parties who require data chunks to cater to their specialization.

Real estate is moving to an electronic mode thus becoming more data-centric. People are buying and selling properties using mobile platforms thus collecting huge amounts of data. The real estate agents through these application data can easily get to know about the properties which are in huge demand and thus control the rates of the already volatile market.

Real estate should have hands-on big data so that they can reap out the benefits of the huge data resource available. Buyers are moving to a mobile platform where they can assess various property options at the same time and improve their search experience. Realtors will also know their clients better and serve them in accordance with their needs. This data is really valuable.

The biggest challenge in the real estate industry is that technology touches this sector at a very slow pace but the roots of technology are growing so fast that the real estate sector has also got a good taste of it.

Influence of big data in the real estate sector

Big data plays a real role in fixing the prices of tangible properties. Also, people who have an intention to buy get to know about the prevailing market rates. The realtors can analyze the cash flows which can take place in the future on the basis of demand. When an interested party visits a real estate website he knows what he is searching for. He has his specific parameters in place thus giving the app controller user-specific data.

The big data analytics training the realtors with a lot of information about an individual such as his age, region to which he belongs, what kind of house does he require, etc.

Such information helps the realtors to make notifications and emails more personalized thus winning the trust of the consumers. Big data also gives an insight into people who are interested in taking properties on rent. These real estate giants have access to a database of millions of people.

With the help of big data, real estate companies are able to market their products efficiently and smartly. Big data is being used by the realtors in marketing their products and also reaching their prospective clients with the help of various marketing campaigns such as email marketing, influencer marketing, celebrity marketing, etc.

Big data also helps in improving the decision-making process for these companies and also for the individuals who are visiting the application. With a plethora of options available, an individual could get all sorts of information on a particular house such as the locality it is in, how old the property is, how far the market is and so on.

Conclusion

This shift in the outlook of real estate businesses has just begun. The more these companies analyze the data available, the more it becomes lucrative. The process of implementation of big data in the dynamics of real estate business is a little slow but all good things take time. Also, they have already started to make the best out of the data available by slowly unwinding the treasures hidden in the layers of the so-called complex data.

How To Encourage Your Children To Learn About Big Data And Modern Technologies?

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How To Encourage Your Children To Learn About Big Data And Modern Technologies?

Phrases like Deep Learning, Neural networks, Machine Learning or Artificial Intelligence can be a big put-off for those parents who get easily overwhelmed by the changes in digital technology which seems to change minute-by-minute. The exponential growth of data is powering it and big data analytics courses are fast becoming essential.

This is what your children inherit and grow up in. It is crucial to have them trained early on if they need to be technologically equipped to handle their daily lives and become contributors to the growth of both the economy and society at large. There is no dearth of the ignorant in places of power who have no clue regarding the present technology let alone the future technologies that are already happening!

Every country has its share of shame and court cases on the misuse of technology which stems for a complete lack of understanding of the underlying science and principles of technology. You can change that and we shall look at certain pointers that can help you along to make the future of your kids in big data analytics courses an educated and well-equipped one.

Understanding the basics:

Kids understand concepts very easily if the examples are right. Just as they learn to walk, talk in any language, and interact with others based on their experiences of watching and doing, so also complicated concepts are simpler to explain than you may think. After all, technology has existed over generations and it is those who learned to question early that became the next generation’s Einstien or Newton.

Your involvement is vital:

One of the easiest ways to update your knowledge would be to get involved in your child’s learning. Parents are the role model on which the child bases his/her behavior. Taking an interest in the learning data analysis and how modern technology will not only help you explain the simple concepts of Deep Learning, Neural networks, Machine Learning or Artificial Intelligence but will also help you understand better and make better choices as technologies advance. Ex: Buying a smartphone today involves understanding what they can do for you with Google Assistant or Amazon’s Alexa. Go ahead and discover your gadgets.

Rewards are motivators:

The simple science of getting kids to thrive in their learning is to create a task list and reward the completion of tasks with simple child-friendly rewards like a party, movie, or treat of their choice. Starting such a system helps them inculcate discipline, cleanliness, and innovation in thinking through their tasks. Rather than play for hours on end, kids find it more interesting to learn to handle gadgets like the computer, smartphones or home theatre. They not only feel grown-up but also start skilling themselves early.

Use authentic training resources:

Teaching children to Google their questions opens up Pandora’s box when un-monitored. However, the internet has some very interesting videos on YouTube, simple beginner’s courses depending on the age of your child, websites for learning kids, games that explain concepts behind what appears complicated technology and child-friendly apps that are invaluable for both you and your kids. Why not consider a few big data analytics courses online?

Learn from mistakes:

Part of the learning lies in its being used and that’s where mistakes are bound to happen. Just like kids fall and learn to walk better, complicated subjects will come with mistakes and errors that should be treated as part of the process. The parent’s role in encouraging and handling rejection due to mistakes is just the same as in subjects like mathematics, science or any other. Just as long as the child enjoys the process and no stress is created they will learn if you are sensible about their failures.

Get Assistance:

Rather than venture into the unknown territory alone, there are ample resources that you can exploit to teach your children such as teachers, tutors, and short-term beginner courses at colleges that can help. Scour your neighbourhood for students who have done big data analytics courses and would be willing to orient your kid for a very reasonable hourly fee while keeping them well-attended to and busy learning something new.

Parting notes:

So, how can proactive parents encourage children to acquire knowledge and skills in big data and modern technologies? Well, the answer is simple. It is all about the training of the mind to form a basic skill set that is curious and learns by itself. At Imarticus Learning you can learn and also enrol your children in professional courses like big data analytics courses that help build appropriate skills in the field of emerging technology. You will be getting them a quick start in their careers that could prove invaluable in time.

What Are An Interesting Careers To Explore In Big Data?

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What Are An Interesting Careers To Explore In Big Data?

Big Data is no longer a future capability but is already in use in a variety of sectors and industries. Some of the uses are as diverse as taxis in Sweden using data to cut back on traffic and emissions to Barcelona building a smart city based on data and farmers worldwide using data to reinvent farms. The benefits of Big Data applications and data-driven strategies have thrown open the doors to a variety of careers which are satisfying, always in demand and pay very well.

Doing a big data course is one of the best options to hone your skills on the current demands of the emerging technologies in Big Data and allied fields like machine learning, artificial intelligence, deep learning, and neural networks among others.

Let us explore the top careers and the requirements to make a career in this lucrative area. Salaries are as reported in Payscale.

  • DATA SCIENTIST: These are the experts who produce meaningful insights and work with Big Data volumes using their technical and analytical skills to clean, parse and prepare data sets from which an analyst can apply algorithms to get business insights. Their salary is in the range of 65,000 to110,000 USD.
  • BIG DATA ENGINEER: These engineers evaluate, build, maintain, develop, and test big data solutions created by solutions architects. Their salaries lie between 100,000 to 165,000 USD.
  • DATA ENGINEER: The engineer is responsible for data architecture and the continuous data flow between applications and servers. Their salary range is 60,0945 to124,635USD.
  • ML- SCIENTIST: They work with adaptive systems and algorithm development and research. They explore Big Data and train the big data course to automatically extract trends and patterns used in demand forecasting and product suggestions. The average ML scientist’s salary is 78,857 to124,597 USD.
  • DEVELOPER-DATA VISUALIZATION: These people are responsible for the development, design, and production of interactive data-visualizations. They are the artists who bring to life reusable graphic/data visualizations. Their technical expertise is valued and the salary range is 108,000 to130,000 USD.
  • SPECIALIST- BUSINESS ANALYTICS: This specialist assists in testing, supports various activities, performs research in business issues, develops cost-effective solutions and develops test scripts. Their salary range is 50,861to 94,209 USD.
  • BI- ENGINEER: These engineers have business intelligence data analysis expertise and set up queries, reporting tools etc while maintaining the data warehouses. Their expertise earns salaries in the range of 96,710 to138,591 USD.
  • SOLUTION ARCHITECT- BI: These architects deal with solutions that aid sensitive timely decisions for businesses. The salary range for this role is 107,000 to162,000 USD.
  • SPECIALIST- BI: These people also are from the BI area and support the framework across the enterprise. The salary range for these is in the range of 77,969 to128,337 USD.
  • ML ENGINEER: This important aspect of ML develops solutions aiding machines to self-learn and autonomously run without human supervision. ML engineer’s draw a salary of 96,710 to138,591 USD.
  • ANALYTICS MANAGER: This manager deals with the design, configuration, support and implementation of analysis tools and solutions from huge transaction volumes. Their salary range is 83,910 to134,943 USD.
  • STATISTICIAN: These people are tasked with gathering, displaying and organizing numerical data used to make predictions and spot trends. The salary range for this role is 57,000 to 80,110 USD.

The skills required:

The basic attributes required for these jobs is:

  • Knowledge of Apache Hadoop, NoSQL, SQL, Spark, and other general-purpose programming languages.
  • Skills honed in a regular big data analytics course.
  • Adept in ML, data mining, quantitative analysis, data visualization and statistical inferences.
  • Personality attributes like being a team player who is adroit in creative and analytical thinking, innovative approaches and creative problem-solving.

The importance of certifications: 

Certifications endorse your skills and validate that you have the knowledge to practically apply your skills. Certifications in the below subjects will stand you in good stead when at interviews and improve your career prospects. Do go in for certifications in

  • Hadoop, SAS
  • Microsoft Excel
  • Python, R, and the Java suite
  • Pandas, MongoDB
  • Apache Spark, Scala, Storm, Cassandra, etc
  • MapReduce, Cloudera, and HBase
  • Pig, Flume, Hive, and Zookeeper.

Parting notes:

It is best to do the big data course at Imarticus Learning as they train you to be career-ready with skills on the latest technologies like the ones mentioned above. Their certification is well-accepted in the industry. So, why wait? Start on your career journey today!

How Is Data Analysis Used In Supply Chain Management?

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Supply chains today have gone global and spurred the growth of challenges and opportunities for suppliers, manufacturers, and others in the engineering industry (fondly called OEMs).To stay competitive lean and mean appears to be the name of the game. The rapidly growing automotive industry’s supply chain can be taken as an example of a supply chain discussed for the simple reason that its rapid growth makes it an excellent test case to study the impact of big data analytics courses.
The trend today is to perceive globalization, both as a challenge and opportunity and tweak its supply chain to create more agility, transparency, and visibility. Data analytics and that implies very big volumes of data and its analytics on a global scale, has been successful in managing and meeting deadlines of deliveries and production.
The supply lines stand improved, more efficient and productive through the use of Big Data Analytics Courses and invaluable insights garnered from data in assessing and decision-making, by efficiently gathering data, cleaning the huge volumes of databases, analyzing the required data sets and deploying the predictions and foresight offered by data.
To stay competitive in a variant-rich data-driven supply chain it is imperative that the supply-chains remain competitive while being productive and efficient on a global scale. However, even in 2017, the main issues with doing so was that the managers and planners were still unable to analyze, evaluate, and act on the data which was being generated and readily available to them. To leverage the benefits of a lean-and-mean supply chain is to effectively use and analyze data!
How does data impact the way a manufacturer, an OEM, or supplier works in the global supply-chain grids? What happens when data-driven supply streams are created and used well? How does strategy, based on data impact the operations of the company? How do big data analytics courses contribute? Let us briefly explore.

Greater organizational-wide insight

Looking at the big-picture and macro levels help organizations in data-based coordination, sharing and gathering for a pan-organization insight and context in decisions. Effective increase of touch-points, better contextual insights, and real-time monitoring has meant effective objectives, production benchmarks, outcomes, and goals. An increase in silo-making, collaboration, and communication in the supply chain adds value to the diversification and developmental expansion plans and ambitions of the automotive industry as a whole and occurs in real-time globally thanks to data analytics.

End-product quality maintenance:

Optimal production processes help data-driven supply-chains to produce better end-product efficacy and volumes. Data analytics has put the key to effective utilization in the hands of managers and planners to leverage resource allocation strategies, demand planning, scheduling, and inventory management. Developments like Industry V4.0 in Big data has also meant that OEMs can identify and monitor potential quality-control issues, access data-production and data details of processes, inspect in real-time the deliveries in-transit, and even check on scheduling and transit details of deliveries in progress. Thus risk-mitigation, improved efficiency, and greater productivity can be anticipated.

Surfing supplier networks:

The automotive supply-chain world over comprises of huge supplier networks that OEMs need to navigate, especially with the rapid proliferation of autonomous driver-less vehicles, smart-cars and electric vehicles gaining prominence and popularity in the rapidly fluctuating automotive manufacturing segment.
A data-driven supply chain allows for iterations in the complex OEM supplier networks while catering to its customers and evolves better products. Data analysis can also aid the S and OE level strategy making, allocate efficient production programs, link the facility capacity, and work around the production-floor restraints in dealing with ways and means of the inter-communicating process to ensure timely deliveries and smooth production.

Comprehensively treating supply-chain management:

Data analysis has the connective ability of disparate functions in supply-chain management which helps the planners and analyst to impact critical areas and cascade the effects up or down the supply lines. Thus data reporting can be effective in a ring-like interconnected structure where the impact and data analysis is successfully transmitted across the value chain. This also helps eliminate the barriers between disparate elements or functions and makes the supply chain more wholesome and vulnerable to change, holistic operations and data analysis.
For example, in the modern automotive supply-chain the various departments, services, and functions are effectively coordinated as a wholesome operation. Data analysis has helped in container management strategies, logistics, deployments, allocations, job-scheduling, routing platforms, inventories, and stock-management, etc and has successfully made the processes more efficient, productive and visible.
Conclusion:
Just as in the above example, you can also find your own value-adds to your specific supply chain by doing big data analytics courses at Imarticus Learning Academy. Grab the proposition to add value to your supply-chain and career. Hurry!
For more details in brief and for further career counseling, you can also search for – Imarticus Learning and can drop your query by filling up a simple form or can contact us through the Live Chat Support system or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Banglore, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

From Computer Science to Big Data Analytics: How Imarticus Learning Helped In Specialization?

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Chirag shares his journey with Imarticus learning that led him to become a successful Data Analyst!!

Even though Data Analytics is one of the most sought-after fields today, it is not at all an easy specialization to pursue. Chirag a Bachelor in Computer Science shares his journey with Imarticus learning and how Imarticus helped him get a prestigious job as a Data Analyst.

Tell us a bit about yourself and your background

I am Chirag Soni, I am a Computer Science graduate from Pune University and I joined Imarticus Learning for a Big Data Analytics Course. I am really happy to tell you that today I am placed in M Technologies through help and guidance from Imarticus. After my graduation in Computer Science, I was looking for a  career as a data analyst and was considering a Big Data Analytics course or a Financial Modelling Course. After reaching the website of Imarticus Learning, I reached out to the counselors and applied for the course.

Tell us about your experience with Imarticus Learning

After referring to Imarticus Learning reviews on the Internet, I was really confident about the place I was going to, but the people here surpassed all my expectations. The standout for this course for me was the co-operative and warm faculty who helped me learn and master various programming languages like SAS, R, and Python due to their excellent in-depth lectures which provided all this knowledge in a structured and organized way.

What Changes did you notice since joining Imarticus Learning for your Data Analytics Course?

There has been a lot of change that I can notice within me especially in terms of confidence and professionalism. The well-structured courses and thoroughly professional faculty members provided me with the perfect environment to transform myself into a professional coder with attributes like high order thinking skills, conversational skills, and stress management skills that companies really look forward to having in their employees.

Imarticus Learning changed me from an immature to a thorough professional within days thanks to all the faculty and staff plus the supremely designed course that focuses on skills that are beyond the range of textbook teaching.

Do you recommend others to join the Analytics course at Imarticus? If yes, Why?

I would definitely recommend anyone looking for a course in analytics to join Imarticus primarily due to the exceptional faculty that this institution has. These professionals really have the in-depth practical knowledge of their respective domains which enables them to teach the curriculum in the best way that is beyond textbooks and according to the students’ needs.

These inclusive courses and teachers together don’t make you feel left behind even if you don’t have the prior knowledge of the domain and the extensive doubt clearing sessions always ensure that you are up to date with your syllabus without any doubts and difficulties.

What do you think about Imarticus Learnings’ Placement Services?

The people involved with placements at Imarticus are some of the hardest working individuals who work hard to ensure that the students get their dream jobs with the best companies possible. Not only do these people attract good companies, but also they assist the students in getting their dream jobs. Whether it’s working on our resume or preparing us for the most important interview in our lives, these people ensure that you are trained and equipped for everything that is to come.

It is only through the dedication of the faculty and the Placement services combined that Imarticus has been able to deliver such excellent placement results time after time and I definitely recommend anyone wanting a successful career opportunity to join Imarticus.

Interested in an analytics course? You can directly visit – Imarticus Learning and can drop your query by filling up a simple form on the site or can contact us through the Live Chat Support system or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Banglore, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

 

How Is Big Data Analytics Used For Stock Market Trading?

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Data drives decisions. The successful use of data-based applications already exists and is hugely popular too. Big Data Analytics is the decisive factor when you compete against the master traders on the stock market. A career in Data Analytics is highly satisfying and lucrative too! Most markets, verticals, and industries have inducted the applications of big data analytics to improve their marketing decisions, product selection, and competitive strategies.

The online stock market trading is no exception and is the one area where data analytics allows an on-par competitive platform of the finance domain which uses analytical strengths and strategies to its monetary advantage. There have been a large number of training institutes offering Big data analytics courses which can help you understand the nitty-gritty of data analytics as applied to the stock market trading.

How big data analytics is used for trading:

All, Big data Analytics Courses start with the importance of data, how it evolved into big data and the interconnection of big data analytics with AI, ML, programming techniques, and such topics. Across the board, companies, startups, and organizations use data analytics for forecasting, getting market insights, gauging market trends, business modeling and effective decision making.

Fields like healthcare, fintech startups, financial services, blockchain-based technologies, insurance, banking, and marketing make effective use of large volumes of big data readily available and growing fast today as the capstone of their key projects. The financial industry too has kept pace with such developments and offers many career aspirants a winning ticket to a career in the stock market.

The stock market rates, numbers of investors, key indices and prices are constantly changing. Each change generates data and considering such changes the total volumes of data is huger than huge volumes of petabytes of data. The ecosystem, landscape and trading process has gone completely online and real-time thanks to technology. Where once had to compute and take calculated risks based on very small windows into the data, today’s stock market has evolved over the last decade into the best example of the use of data analytics.

Let us explore the influence of big data analytics over the three major impacted areas.

Stabilizes and offers a level playing field for online trading:

Big data analytics depends on machine learning and algorithmic trading. The computers are trained to ingest, clean and use these large volumes of data much like the human brain processes information to do any task.

The ML enables the computers to use the real-time data which it rapidly processes to detect trends on the stock markets. Such representations and candlestick bar graphs are the basis of investor-decisions as they provide real-time information and can provide instant comparisons, present prices, other markets information and more to help compare and choose investment opportunities. This also provides a level uniform platform to all players, large or small.

Returns and outcomes estimation:

Big data analytics makes it possible to use powerful algorithms and AI to reduce possible risks in trading of stocks that takes place online and in real-time. The traders and financial analysts use the ability of data analytics to make forecasts and predictions regarding the prices and its behavior, trends and market behavior with accuracy and nearly instant speeds.

Improves ML to deliver forecasts and predictions.

ML in combination with big data makes a huge difference when taking strategic decisions based on a large data set that is far more logical than making inaccurate guesses and estimates. The data can then be reviewed and used in other applications if required to forecast market conditions, price trends, favorable conditions, and such factors on a real-time basis.

Conclusion:

Data analytics has immense potential for all from the professional to small-time hobby investors. You can learn from the Big data analytics courses and acquire a good grasp of trading practices, financial practices and knowledge of data analytics which are attributes that can be used even in making careers in a variety of fields where stocks are traded in. The payouts in any job will depend on the knowledge and skill proficiency in the trade and your ability to handle clients. Jobs in banks, as consultants and even as traders are available and obviously come with jaw-dropping commissions, salaries, and payouts.

Do your Big data analytics courses at Imarticus Learning and use the opportunity to make headway in your career.

How Big Data Is Changing Disruptive Innovation?

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How big data is changing disruptive innovation?

It is for sure that big data has grabbed the attention of many as the businesses have understood its prominence in this technology-driven world. The meaning of big data goes by its name it refers to a large sum of data to be handled efficiently for a productive business. Online giants who rule the world of technology like Amazon, Facebook, Microsoft, and Google together store about 1.2 Million terabytes of data.

Which is really a staggering amount of data and now we know how influential are they to the society. A new update from DOMO states that approximately 2.5 quintillion bytes of data is being generated every day and the number is going to increase exponentially. So, this has ideally remarked an era where talented data scientists are on a pinnacle and young aspirants choose data analytics training to land on their dream career.

Understanding disruptive innovation

Well, you must read somewhere that “90% of the world’s data is being created in the last couple of years” this is credited for the growth of online. Disruptive innovation can be termed as a new concept or model which alters the function of the monotonous market and influential in creating a new flow in the market. This disruptive innovation creates a disorder in the market place with its bang.

Impactful big data on the limelight

We often notice new innovations in technology and the way it affects business. Off-late Big data technologies like Hadoop and NoSQL has created quite a stir in the minds of businesses about convincing the customers.  Wings of big data like big data analytics course are vital for data science aspirants to identify hidden patterns to understand customer preferences. Big data has jeopardized the conventional flow of the market by inducing advanced computing and eliminating the traditional way of computing for better business.

Let us look into four ways by which big data is changing disruptive innovation:

Big data proved trust-worthy

You may notice that when new technology is introduced in the market, the market takes a while to completely adopt it. But this was not the case with big data due to its flexibility and impressive tools used to leverage profitability in business. Companies invest in employees who learn these tools to keep them par with the trending market scenario.

Ease of access and flexibility

The smooth transition in the software we use in mobile and computer systems induced by big data is quite enjoyable and user-friendly. Users have become more dependant on big data for it has altered the prospects of users on new technologies. Thanks to Hadoop and NoSQL technologies of big data which has created a revolutionary impact on businesses.

Spending for a positive impact

The need for big data and data analytics is different for different companies. Hence, the money spent on big data also varies. But, the companies are spending a huge sum on big data confidently as it proves to be worthy enough. Businesses pay for big data but proper use of tools and techniques in big data may eventually lead to saving a lot of money. It is a kind of predictive science which monitors previous trends and forecasts future trends.

Action and accomplishments

Big data has been successful in creating a satisfied customer base for business by identifying and understanding the needs of the customer beforehand and diverting the business to concentrate on the right track. Target marketing strategy in big data has aided businesses in achieving long-term growth and stability. When new technology enters the market, it is obvious from the customer end to expect certain changes in its attributes, whereas big data leaves the customers surprised with its functionality which other disruptive inventions failed to do so.

To sum up

Convenience and usefulness of big data have made people realize the way a disruptive innovation should work like. When innovations meet the expectation of the customers it is accredited as a technology that helps a business in gaining a competitive edge. Unlike other disruptive innovation, big data is assisting businesses in identifying market trends and disruptions to grab the opportunities, upon failing to take the first step the competitors will surely do so.

For more details, you can also visit – Imarticus Learning and can drop your query by filling up a simple form from the site or can contact us through the Live Chat Support system or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Bangalore, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

Should You Start With Big Data Training or Learn Data Analytics First?

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Should you start with big data training or learn data analytics? Which one should I start first?

We live in a highly interconnected and dependent world of technology wherein the amount of technology we use is like a drop in the ocean. At the pace we are traveling in this digital world approximately 2.5 quintillion bytes of data is generated on a daily basis. Yes, it is indeed a staggering amount of data that is being produced.

So, the application of analytics in Big Data has various merits for businesses. Hence, businesses look forward to using this to gain a competitive edge over their competitors in the foreseen future. Though businesses understand the prominence of big data they are unaware of using big data to achieve the desired success.

So, ideally, there is a huge scope for talented who are capable of stimulating the business in the route of success using big data. For data science aspirants it is a wise choice to start with big data training than Data Analytics Course. Read on to know more about it!!

Difference between big data and data analytics

The primary difference between the two is that big data is centered around figuring out meaningful insights within a large pile-up of either structured or unstructured data whereas data analytics is more focused and looks out through relevant data to solve business problems.  Big data training consists of complex skills which will be a great addition on top of your knowledge in statistics, database topics, and programming languages. You can also see that most companies are dependant on Hadoop training which essentially helps you to assimilate the huge data using programming languages like Java, C, Python, Swift, etc.

On the other end, Data Analytics Training on operational insights of the business by making predictive models using programming languages and uses manipulative techniques for understanding the trends. Understanding historical data and extracts interferences from it to solve complex business issues.

Tools and skill sets that differentiate the two courses

Typically having good insights about databases, programming languages, frameworks like Apache and Hadoop and coding would help you positively for big data training. Basic knowledge of statistics and mathematics is essential along with creativity to filter a large database. Knowledge about statistics and mathematics along with data wrangling is required to become an expert in data analytics.  Big data utilizes complex technological tools whereas data analytics uses statistical and straightforward tools.

Various tools like Hadoop, Tableau, NoSQL, R and many more are used to draw interference from big data to get desirable graphics, statistical data, and visualization. Learning R programming language is essential to learn Data Analytics due to its widespread use of tools to deal with statistical and analytical data. So, R developers have an edge over others in learning data analytics. Whereas Big data efficiently uses MapReduce, a programming model for processing huge amount of data.  When MapReduce is coupled with Hadoop Distributed File System (HDFS) for its efficient use in Big Data.

What should you do to master big data?

In the bustling world of digital technology, we have access to any information presented by experts in the field of data. Enrolling in either big data training or data analytics courses will definitely be useful to fill the gap between the demand and supply in big data. Having a diversified skill set will give you an edge over your competitors. Big data training and data analytics classes are available online in reputed institutes who provide hands-on training to understand and interpret the concepts in real-time business situations. Look out for training institutes who provide comprehensive insights and training in big data for gaining proficiency in the subject right now.

Conclusion

With an acute shortage of skilled in the field of big data, its demand is set to increase and is deemed to be a long-term growth-oriented career option. As you can understand one course is used to manage large sets of a database, on the other hand, another uses such a database to gain meaningful insights. Learning Big data training may be a smart option for landing in your dream job, it is your call to take up either of the courses first. Take a step forward right now to taste success in the near future!!!

For more details in brief and further career counseling, you can also search for – Imarticus Learning and can drop your query by filling up a form from the website or can contact us through the Live Chat Support system or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Banglore, Hyderabad, Delhi,  Gurgaon, and Ahmedabad.

Will Doing Big Data Analytics Courses Help To Make a Mid-Career Jump?

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“Data is the new oil for business” is the tag line used in the modern world ruled by digitalization. Businesses today depend on data for various reasons. As you are aware data generated every day is counted in quintillion bytes so ideally, traditional methods of data handling are not sufficient to handle this lump-sum data productively.

The primary intent to learn Data Analytics is to figure out a pattern using which assessing customer preferences and tastes may be easier. Big data confines itself as a large sum of data available either in a structured or unstructured format.

Different big data analytics, tools, and techniques are on rising demand for the impact of big data on businesses. Such tools are put to effective use in finding business opportunities and making business decisions.

Competitive advantage for big data analytics aspirant with a tech background 

For a person working in a software firm who has some technical knowledge undertaking big data Hadoop course will be extremely beneficial to beat the competition. A report from Forbes suggests that the median salary for a data scientist is $110000. Corporate giants like Cisco, IBM, Oracle, Google, and Microsoft have posted numerous job openings in this field. However, Big Data has widespread use in different sectors of business like Aviation, Pharma, education, Telecom, healthcare, It, Retailing and sports. There are endless opportunities for a person who masters Big Data Analytics Courses in any phase of a career.

Merits of a private training institute

As far as private training institutes are concerned they design a comprehensive structure of big data analytics and provide hands-on training for better knowledge about the concepts. In order to make a career shift, you do not have to invest in sky-rocketing fees of legacy education institutes and their degrees. Various online private institutes offer state of the art classes, online sessions, and programs for your convenience.

Capitalize on the trending big data analytics course by opting for private online institutes who are performing extraordinarily in governing the aspiring students in any phase of their career. Learning and getting trained with professional hands may land you in a dream position.

Skilled and properly trained Big Data Analysts are paid hefty and long-term growth may be possible if you deliver the expected results to the companies.

Big data analytics training encompasses several technologies like:

  1. Machine learning which co-relates to Artificial intelligence and creates automatic proactive models that analyze bigger problems and brings about a meaningful solution.
  2. Efficient data management program to be designed by the companies for organizing the data that is constantly flowing in and out of the organization.
  3. Data mining is a technology which assesses large quantity o data to figure out a pattern which can be further called into meaningful insights for the business.
  4. In-depth understanding of Hadoop framework which skillfully stores data using commodity hardware and runs its cluster of applications in it.
  5. In-memory analytics uses system memory to analyze the data thereby saving time and better decision-making.
  6. Operating with Predictive analysis which uses historical data along with statistical tools and technologies to find a future prospect.

Some of the job titles that one may get into big data are big data engineer, data visualization expert, Hadoop developer, information architect, business managers, software testers an more.

You may be wondering why is big data being a prominent part of successful business, well, let me answer this with the following points:

  • On the long run, big data analytics tools like Hadoop and cloud analytics reduce the cost of storing a large sum of data by identifying ways to build a profitable business.
  • Big data technique Hadoop, when clubbed with memory analytics, helps in analyzing the information and make decisions immediately based on the research. Thus aids business in a fast and better decision-making process.
  • Big data analytics ability to identify the customer needs, has leveraged on the businesses to produce new products that satisfy the customer needs.

To sum up

If your previous job was mundane and not exciting enough, you could probably want to get closer to the way business works through big data analytics. Having knowledge about technical aspects will be an added advantage to take up data analytics as a mid-career jump. Explore more through the Live Chat Support system or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

How Big Data Analytics can impact business results?

Posted on by Imarticus Learning

Big data analytics are for those companies, corporates, and global organizations that take their businesses and the respective business aspects such as efficiency, growth rate, profit-making, market positioning, market targets, customer satisfaction and stakeholder satisfaction seriously, and wish to see a consistent development and progress in all of these business aspects periodically.
Let us deeply examine how big data analytics can impact your business.

1. Data collection gives insight – The general big data collection made by companies and corporates sketch a deep insight into its customers, trends in markets, profit scopes and loss areas, help in understanding their product in relation to the business market, and the target products and services that will enable bigger profits and revenues to the company/organization at large.
2. Improvement of internal operations – With the impact of big data analysis not only will you be able to understand the business worlds, business markets, your goods/services value in this relation, you will also understand what business aspects and agencies within your business operations need attention and work. This can positively contribute to the progress, development, and profitability of your company/organization largely.
3. Understand employees and workforce – Through big data analysis you will be able to understand the efficiency, effectiveness, and quality of your company’s/corporate workforce at large, and be able to help them become better at their skill sets, tools, and techniques, or you may even choose to hire better, and competent professionals from the job market. This will naturally impact your organization’s success scale in various contexts.
4. Helps understand the consumer – Big data analytics not only helps you understand the needs, requirements, and standards that your stakeholder wishes you to deliver but it also imparts a deep understanding about the consumers in the marketplace. This will, in turn, inform you about the aspects where you can improve, re-build, and develop your goods and services as per the consumer market demands and requirements. This will add to your corporate profitability and growth immensely.
5. Understand your company’s strengths – Big data analytics with all its insight and analysis about the information on market trends, customers demands, market’s profits, and demands, helps you sustain your business by giving you a clear analysis and look into your company’s already existing strengths and merits. These can be worked upon further to gain more progress, development, business evolution and direct your profits in a seamless manner. You will also understand what makes your company a leader, and be able to predict its future with the help of big data analysis.

Data Science Course

The above are but just some of the advantages of big data analysis. A professional big data analyst will tell you that data mining today is equivalent to gold mining a company, and these information pieces, data, and tools must be kept with the company for the present, and future analysis, and also to learn from past failures/blunders. Thus, big data analysis is a comprehensible, strong tool in understanding an organization/corporate/enterprise in the most precise manner possible. You can gain a big data analytics course to kick start a job in data analytics as a career.