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Tag: Big Data Analytics Training

Data Analytics in Healthcare: Can a Techie Succeed in The World of Medicine?

Posted on by Imarticus Learning

In the modern-day, Information Technology has seeped into all sectors. Industries have adopted Data Science and Analytics to drive their work and have reaped the rewards for it. In the paradigm where Data Analysts are highly sought after in all sectors, how do they fare in the field of Healthcare?

 

Big Data Analytics courses are the perfect way for techies to break into the medical sector. It has become a tool with unlimited potential, and a Data Analytics career in healthcare is a very real and prospective opportunity.

Data Analytics is generally used to draw meaningful interpretations, find trends and predict possible outcomes from Data.

Healthcare Analytics specifically aids in avoiding preventable diseases, conducting an accurate diagnosis, predicting and combating epidemics and coming up with effective treatment strategies for diseases.

A Healthcare Analyst contributes to improving the quality of healthcare and reducing the treatment costs by automating tedious processes.

Applications of Data Analytics in Healthcare

There are many applications of Data Analytics in healthcare, and a career in the field works to implement these uses. Some of the most popular applications are:

Patients’ prediction: Healthcare Analytics can be leveraged to improve patient predictions. The past admission records can be used to discover hospitalization trends, peak times and deploy personnel accordingly.

Strategic Planning: The existing data can be used to identify patterns, conduct studies and map out strategies for extensive care and in community medicine.

Electronic Health Records:

It is one of the most popular uses of Data Analytics in Healthcare. It is used to track patient medications, treatments, progress, and medical history. Data Analytics on these can reveal more details about their medical conditions and lead to more accurate prognoses.

Predictive Analytics: Predictive Analytics is the practice of recognizing patterns and predicting probable outcomes by studying the data presently available. This can be used to improve care delivery for patients with complex medical history by using history to try and predetermine the conditions they may face in the future.

Data Analytics Careers in Healthcare

The applications of Big Data analytics in medicine are vast, and more are being uncovered every day. In this scenario, techies are being welcomed into the sector with open arms. Healthcare employs techies as Data Analysts, Informatics Consultants, Clinical Data Managers in the Quality and Performance improvement sector.

One can also get promoted to leadership positions for other Analysts as Informatics Director or Chief Medical Information Officers. All these positions come with their responsibilities as well as perks. The roles and responsibilities would also entail assistance in the proper integration of data analytics within specific healthcare areas.

Conclusion

A career as a healthcare analyst is a door that opens infinite possibilities. Not only do you get to save lives as a part of the field, but you also get to innovate and change medicine in your way.

What Are The Benefits Of Bringing Big Data Analytics Education?

Posted on by Imarticus Learning

Education, human behavior and interpersonal interactions have always held our interest as topics for research and discussion. Such data analysis can draw out many insights that can be beneficially used to improve the ways we work. learn and analyze issues around us. Did you know that the big data industry is projected to touch a total value of 28 million USD very soon? No wonder the educational field is looking to exploit the many benefits of a big data course in the educational field and analyzing the results to tweak the outcomes.

The very first step in this process is to set up the functional database and its analysis process. In the field of education, this would imply building a community website. Why? Data analyzed so far shows that if students needed information 93 percent of the time they looked online for it.

The popularity of libraries of information available by doing a simple Google search or Googling as students call it is the most popular method for not just students but parents looking for educational institutions for their wards as well! It is a given that online presence helps prospective students and their parents find you.

But, can we also use the digital platform to educate students?  Here are at least three ways to benefit from big data analytics and exploiting a big data course of benefits for your educational institution.

1. Assessing student performance:

Improving student performance and assessing their performances can be efficiently leveraged by big data and its analytics. Individualized learning modules can help find knowledge gaps and personalize the learning materials to fill in the gaps. By so adjusting the learning rate no student in a class is way ahead or too far back on the learning curve. Since learning styles, rates and methods may vary over each student, adaptive learning scores by understanding and identifying the gap in learning and taking corrective action before it is too late.

A differentiated style of learning deals with the most effective style to help the student learn. Adaptive learning curates the learning exercises matching them to the student’s needs and knowledge gaps. Competency-based AI and Big Data Analytics Course-based tests aid the students to gauge their learning levels and progress from thereon.

Using all these three types of learning AI can test how well the students can adapt their learning to applications of it and thus promote the progress of students based on individual interests. Traditional methods like exams, project work and assignments and exams can be used as data trails to help monitor learning activities and performances. The behavioral analysis attained can help provide personalized feedback to each student.

2. Personalizing educational programs:

Big data can help in customizing and personalizing learning materials and individualized programs for students using both on and offline resources. Blended experiences improve performances, generate more learning interest and help improve the performances of students. Students can learn at their own pace and style and even discover areas where they excel at applying their learning to applications. The classroom can effectively be turned into a nursery for budding professionals, entrepreneurs, gamers and businessmen who are well-initiated in exploiting benefits offered by skilling themselves in a big data course.

3. Learn from the results and improve the dropout rates:

Big data analytics can help us learn and predict the lacunae in learning and thus prevent dropouts. Corrective measures can easily be applied if unusual behavioral patterns are caught early. Personalization of these measures through suggestions from big data analytics can help target the source of the problem and resolve the issue or gaps in learning. Big data analytics’ behavioral analysis can also help in career counseling, providing information on various programs and courses at various institutions so students can choose their careers wisely.

Parting notes:
The class sizes keep increasing with compulsory education and teachers are often facing many challenges in giving attention and help to the large numbers of students. A big challenge like this has been simplified by incorporating computer programs that allow each student to follow his own pace and learning curve. The technological advancements in the last decade and especially in education has seen many applications that are data-driven and can be processed for use as learning materials to base your future decisions on.

Rather than concentrate on just building a good educational website from scratch one can use simple website solutions from online builders. The time saved is best used on implementing processes for reporting and better analysis. Do you want to learn how to use Big Data analytics in education? Reach out and do a big data course at the Imarticus Learning Institute to emerge career-ready.

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

Posted on by Imarticus Learning

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

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

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

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

  • SAS Certified Data Scientist

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

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

  • Microsoft CSE (Certified Solutions Expert)

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

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

  • IBM Data Science Professional

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

  • Cloudera Certified Associate Data Analyst (CCA)

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

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

Conclusion

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

Big Data Influences Online Trading in 3 Primary Ways!

Posted on by Imarticus Learning

Organizations and corporates are using analytics and data to get insights into the market trends to make decisions that will have a better impact on their business. The organization involved in healthcare, financial services, technology, and marketing are now increasingly using big data for a lot of their key projects.

Big Data influences online trading in 3 primary ways:

1. Levels the playing field to stabilize online trade

Big Data analytics

Algorithmic trading is the current trend in the financial world and machine learning helps computers to analyze at rapid speed.

The real-time picture that big data analytics provides gives the potential to improve investment opportunities for individuals and trading firms.

 

 

2. Estimation of outcomes and returns

Big Data AnalyticsAccess to big data helps to mitigate probable risks on online trading and making precise predictions.

Financial analytics helps to tie up principles that affect trends, pricing, and price behavior.

3. Improves machine learning and deliver accurate predictions

Big data analytics training can be used in combination with machine learning and this helps in making a decision based on logic than estimates and guesses.

Big Data Analytics

The data can be reviewed and applications can be developed to update information on a regular basis for making accurate predictions.

 

How Can Data Analytics Improve Remote Learning?

Posted on by Imarticus Learning

Introduction

Data Analytics has transformed how we work today. It has brought in the automation we need. Big Data has found a lot of use in Industries like Healthcare, Finance, Retail, Real Estate, etc. It has made analysis and crunching of data a cakewalk. Earlier, analyzing and sorting information from data sets was a cumbersome task.

It required a lot of people and long working hours to analyse and extract information from those data sets. This got complicated as the amount of data increased and due to an increase in the number of data sets, the results were prone to errors.

Big data transformed and brought in a wave in the process with which companies handle data sets and data. Big Data and Data Analytics have not left any stone unturned.

They have even brought about a significant change in the education sector. It has become a hot career option and you can take up an online or an offline Big Data Analytics course to become a part of this transformation.

Data Analytics is creating new learning opportunities daily. It is now transforming the way students’ study and teachers teach. Data Analytics has elbowed its way to the pedagogy and is now setting up a new definition of how people study.

Remote Learning

Remote learning is the online way of studying where technology becomes the source or medium of knowledge exchange. Remote learning eliminates the use of traditional classrooms removing the barriers of place and time. The Internet has become an essential and Remote Learning is making the best use of it.

Big Data Analytics CourseRemote learning is now been done through a lot of platforms and mediums such as Video conferences, online tasks and assessments, discussion boards, webinars, etc. These platforms allow free flow of information and are equipped with all kinds of features like screen sharing, system control sharing, whiteboards, annotations etc. Remote learning is a new way of learning.

Remote learning generally translates to the face to face mode of studying using technological resources. You can initiate or have access to remote learning from the convenience of your homes.

Data Analytics and Remote Learning

Data Analytics has transformed the education industry. With a lot of data present, one can easily assess the demand for education and tap those markets. Big Data has made it possible for the education industry to move online.

A Data Analytics online training programme would give you insights on how things are working. Also, during a pandemic, the educators and school have easily moved to an online mode with the help of Big Data. With Data Analytics, the teachers can easily keep a tab on the performance of all the students. This would make use of different parameters to show conclusive results.

With Data Analytics, access to information has become easy. Also, the education system has been handled with a systematic approach and all the elements have now been automated.

These practices are now being standardised by trying different strategies and understanding what exactly would work in case of Remote Learning. Also, data analytics make learning safe.

Data Analytics make sure that the adoption of the system is done easily and also the students stay engaged. With data analytics, a lot of applications have been developed with simple and understandable user interface keeping in mind the demographics of the audience. Also, these applications take care of the safety of the student who is accessing remote learning resources.

Using Data Analytics, you can keep a tap on the activities of the students and how they are performing in class. It also manages attendance records, class files, etc with ease.

Conclusion

Big Data has brought about significant changes in the way students learn. With a little more up-gradation, Big Data will now drive this new model of education.

In The Face Of Job Uncertainty, Can A Career In Big Data Protect You?

Posted on by Imarticus Learning

Big data involves extracting, analyzing and processing vast amounts of data using different techniques. With electronic apps proliferating through sectors and geographies, data is generated from various sources every day, everywhere, by everyone.

While big data entails sifting through unstructured data in multiple formats, the insights derived from these data dumps are invaluable to business or societal goals. Detailed knowledge of the business, through big data, will build greater efficiencies and give them an advantage over rivals in a data-driven environment.

The importance of big data has come further into light during the novel corona virus pandemic. Although the world is far away from a cure, the use of big data has allowed organisations and governments to manage the crisis, mitigate the impact as far as possible and maintain lock downs at a national level.

That said, healthcare is not the only sector that benefits from big data. Nearly every industry known to humans today can derive actionable benefits from big data, should they use it to its maximum potential.

The burning question, then, is if a big data career can keep you safe from job cuts, layoffs and furloughs. It just might, for the following reasons:

Big Data CareerA Shortage of Big Data Talent

Although there are many complexities involved in incorporating data-driven perspectives into traditional business practices, recruiting the best talent has become a consistent frustration across industries. Both as a result of this and as a precursor to this, companies have been failing to realise the full potential of big data and have been able to extract only a limited amount of insights.

A Breadth of Possibilities

Companies and industries are only just realizing the potential of big data across the board. Therefore, there is a myriad of paths to explore within the field in the coming year. This makes today an opportune time for those in looking to kickstart a big data career. Companies will be on the lookout for those with solid core competencies as well as a willingness to learn and experiment. Much of big data’s capabilities are hitherto undiscovered; big data analysts and scientists can help industries derive as much value as possible.

Evolving Technologies and Software

Technology continues to change and transform, which means new sources of data are being added into the mix. For traditionalists, this amount of data can look daunting and be misconstrued as useless. However, big data professionals can interpret these data dumps, extract value and engage in data storytelling such that big data drives business goals from the get-go. Additionally, new software is being introduced to handle niche requirements; a big data analyst or scientist with some experience in this will prove to be invaluable to a company exploring big data possibilities.

A Surge in Big Data Courses

If the number of enrollment in big data and related courses are anything to go by, then it is safe to say that interest in big data is only increasing by the day. A good big data analytics course, however, doesn’t stop just there.

It also delves into machine learning, Artificial Intelligence and Natural Language Processing because all of these are intrinsic to the process of deriving actionable insights. Any big data analyst worth their salt will strengthen their competencies in these fields first and then apply theory into practice.

Conclusion

A great way to get your foot in the door and strengthen your skillset is to enrol for a big data analytics course. While the job market seems to be bleak the face of a potential recession, you can offset some amount of impact if you’re pursuing a career in big data. It’s most likely to rebound from this depression and create meaning out of the noise even in difficult times.

Learn Predictive Analytics to Boost Your Data Career!

Posted on by Imarticus Learning

Does it feel like you are stuck in your data science job without any upward movement? Are you tired of doing the same MATLAB analysis that you were doing three years ago?

If yes, then it is time to further your data career with a new addition to your academic qualifications. Introducing predictive analytics as a perfect addendum to your data career.

Why Predictive Analytics?

Just like a finance student will learn about microeconomics to further his career in the field, a data student or professional can add auxiliary credentials to his name. Since predictive analytics goes hand in hand with data analytics, statistics, and machine learning, it can be a great way to explore one more avenue in the ever-growing field.

Predictive analytics essentially means using different data analytics and machine learning techniques to predict the future of a process or of a hypothetical situation. The idea is to use past and present (ongoing) data to accurately predict the future. To state the obvious, this can revolutionize (and already has) the way companies and governments work.

A perfect example of the current times would be to use predictive analytics to predict the outbreak of the coronavirus outcome. Scientists and analysts around the world are already involved in such activities. Research made by them is the source of news stories that predict the estimated duration for which the pandemic will stay.

How Can It Boost Your Data Career?

The first step here is to get enrolled in predictive analytics courses. Research what the best and the most important courses are and then sign up. The more you know about the subject the better will be your job prospects.

Let’s take the example of a data scientist involved in marketing as a professional. She should ideally take a predictive analytics course that enables her to optimize different types of marketing campaigns. A good example would be to predict a customer’s future actions after he has bought a pair of jeans from a shop. If data can also help her understand what physical store he will next visit for shopping, then that is an additional insight for the company to move its marketing cross-channel.

Because she took a predictive analytics course and would study detailed case studies during the tenure of the course, she can use that knowledge to apply for jobs across agencies and companies. Instead of just being a data scientist, she can boast of a specific skill set that can have an actual impact on the potential employer’s marketing campaigns.

List of Sectors Using Predictive Analytics

Another reason why a predictive analytics course would do good to you is that it is leveraged across sections in India and elsewhere. Just take a look at all the sectors that use it as of 2020:

  • Banking and Financial Services – measure credit risk and reduce online fraud
  • Retail – Price optimization and solve digital marketing challenges
  • Governments – analyze census data and detect citizen behavior
  • Manufacturing – optimize production to reduce costs
  • Insurance – reduce risks and provide appropriate coverage recommendations based on user history.

The opportunities for individual companies are even higher. Just like the internet marketing example given above, a predictive analytics course can help you explore more of how data analytics work in the real world.

If not anything, it can act as a speciality. Because remember that being a jack of all trades is no longer a good thing in the modern professional world. You have to choose a speciality and be the best in it to succeed.

Big Data And Hadoop – The Career Options! Worthwhile To Explore More!

Posted on by Imarticus Learning

The importance of Data Analytics was realized when data became the focus of major consulting and research firms across the globe. Some of the major decisions involve data on a daily basis. A career in data analytics is just what these organizations look for in a potential employee.

To be successful in data analytics, there are certainly effective ways:

How do you start a career in data analytics?

Understand the tools of the trade: These tools can be SAS, SQL, R, etc. Knowledge of tools is essentially just a start. You can pick the one that is easily accessible to you at the moment.

Learn to use tricks: You can do this by expanding your professional network with experienced professionals within the organizations you plan to join in the future or reach out to institutions that offer a course in data analytics.

Find your way into data analytics: Grab opportunities within your professional network. Take a course in data analytics – there are several renowned institutions that offer it. At Imarticus Learning, the data analytics course exposes you to real-life business examples through case studies and provides you with reading and learning material along with hands-on learning experience which is just the perfect fit to make a career in data analytics.

How can you learn business analytics?

Many organizations across the globe have witnessed a change in the way data influences their business. Analytics is a powerful tool for decision-making, resolving operational issues and boosting performance, allowing companies to reach their full potential and objectives.

There is an increased demand for data science professionals, and by developing analytical skills, even someone who does not already have a business background, can still learn it.

If you are a graduate, getting an MBA can help you gain relevant skills and solve complex business challenges at the organizations you may work in the future.

Here are some of the most effective ways how you can learn business analytics:

Take up an Online Business Analytics Course

At Imarticus, we offer an ocean of opportunities for learners. Our business analytics online course provides a great way to be job-ready and also become a data-driven decision maker. Our courses can be paused, rewound, and visited whenever you want.

Learn Things Hands-On

With our courses, you can add more to your skill-set by gaining a hands-on experience, all while managing other important demands in your life at your own convenience.

Expand Your Network

Your contacts on your professional network, both offline and online, can help you succeed, gain important skills, and help you perform better. You can contact them and learn new experiences through examples and guidance.

How do you learn big data analytics?

Big Data means collecting huge and complex data which cannot be stored easily and process. Big data can be in the form of interactions from the users’ social media, businesses, and mobile phones or transport systems.

Big Data Analytics is the process of managing these huge data sets from various sources using database management tools or data processing applications to be used by data analysts, and deliver the data products to organizations that run on data for their business.

The biggest challenges are capturing, curating, searching, storing, transfer, sharing, analysing and visualization of the huge data collected from random sources.

For being skilled and knowledgeable in using big data for the right purposes, in the right way, and at the right time, one needs to learn big data analytics. Learners can opt for big data analytics tutorial provided by renowned institutions such as Imarticus Learning, that offer a courses in big data analytics.

Learn Big Data Analytics and HadoopA deep-dive into the world of big data offered at Imarticus Learning teaches you the most fundamental concepts and methods and tools used to effectively manage data in general and on-the-job at organizations which deal with big data every day.

How can you learn Hadoop and Big Data?

The most important challenges that come with Big Data are data quality, discovery, analytics, storage, security, and skill shortage. That is exactly why it is necessary to understand Hadoop and Big Data, and to learn to work with them. Hadoop can handle large data volumes, structured or unstructured. Many organizations that deal with data on a daily basis use Hadoop to run applications which have thousands of terabytes of data.  Hadoop can run on a personal computer too. That’s what makes it a really adaptable and useful tool.

So, how does one attain the skills required to use this amazing tool?

The answer is obvious – Big Data Hadoop Training!

Business Analytics coursesImarticus Learning offers courses in Big Data Analytics, which includes learning several tools used in the process. Through a Big Data Hadoop Training, you can understand the complexities of Hadoop, its components, and learn to use it quickly.

The course covers everything you need if you are planning to start a career in Data Analytics. You will also get a deep insight into how big the Big Data market is, the different employment options, the latest trends, the history of Hadoop, Hive, and Pig.

Can the Hadoop course be completed via online training mode?

Due to the major challenges that arise while using Big Data, like data quality, discovery, analytics, storage, security, and skill shortage, it is necessary to understand how to use Hadoop, and to learn to work with it. Hadoop can help handle large data volumes, whether structured or unstructured. Many organizations that deal with data on a daily basis depend on tools Hadoop to run applications with thousands of terabytes of data.  Hadoop is so adaptable that it can even be used on a personal computer.

So, can one learn Hadoop via online training?

Big Data Online TrainingThe answer is – Big Yes!

In Hyderabad, and multiple locations throughout India, Imarticus Learning offers courses in Big Data Analytics, which includes learning how to use several tools. Imarticus Learning offers Hadoop training in Hyderabad. The course offers a deep-dive into Hadoop. It helps the learners understand the complexities of Hadoop, its components, and learn to use it quickly and effectively.

The course covers everything you need if you are planning to start a career in Data Analytics, specifically concerning Big Data. You will also get a deep insight into how big the Big Data market is, the different employment options, the latest trends, the history of Hadoop, Hive, and Pig.

How Big Data and AI Work Together?

Posted on by Imarticus Learning

Since our childhood, we have been taught to arrange the raw data to get significant information from it, because raw data itself is meaningless as there is no interpretation behind it. Machine learning (specifically AI) helps to gain the required insights from Big Data to make it purposeful.

At very advanced level AI revolves around a brain(artificial) which analyses the data and makes decisions.

The artificial intelligence is much more required in the field of Data analytics because the traditional analytics are failing miserably to operate the large volume of data that is being created. The fact that more data leads to more purposeful insights results in the intervention of AI in Data analytics.

Both AI and Big data go hand in hand. AI helps in playing around with a lot more data and excessive data helps to train the AI in a better way. In other words, as there is no existence of business without customers, the similar way the power of computers is not very useful in the absence of Big data.

Most of us think that AI is increasingly reducing human intervention in decision making, leading to loss of jobs. Actually, the machine can make decisions based only on the facts, whereas humans use their emotional psyche to make decisions.

The integration of AI and Big data is leading to the more purposeful use of the emotional intelligence of humans in coherence with the facts and figures to make better decisions. This coherence along with proper Big Data analytics training helps businesses to identify the interest of customers in minimal time.

Globalization of business: The availability of a wide range of AI tools in the market leads to its adoption by many companies. The integration of Big Data and AI is helping companies to market the same product in different regions of the world by keeping the track of consumer behavior using AI. This helps in smoother functioning of business in culturally diverse regions without harming the sentiments of the consumers.

Change is always consistent
With the changing needs of customers AI should always improve. To bring in the massive changes in AI catering the future needs one must focus on the AI technologies used with Big Data. Some of the AI technologies used in Big data are:

Disorder recognition is a tool helps in fault detection, sensor network, system health with big data technology.

Bayes’ theory is used to determine the probability (Conditional) of occurrence of an event based on the events which have already been occurred. This theory is best used to recognize the pattern of customer’s interaction with the company results in business providing optimized choices, leading to customer satisfaction.

Pattern Recognition is a technique of machine learning in which AI is trained by giving it certain amount of data, followed by correcting its mistakes manually, which makes AI to recognize the pattern. For example, if I want to train my AI to read my handwriting and convert it into typed text, I will first train my AI using my handwritten notes and then correct its mistakes. This way after few attempts, AI would be able to understand my handwritten notes well.

Graph theory: Through the study of graphs and node relationships, the data can be mapped to the linearity. This model is useful and can help big data analysts to recognize patterns.

To summarize with, both Big Data and AI are two most emerging technologies and go hand in hand. One could utilize AI to decide on how to proceed with big data analysis instead of depending on people. Conversely, Big Data could be used by AI in its self-learning and/or decision making.

What Is Big Data Analytics Training Online?

Posted on by Imarticus Learning

What is Big Data?

Big data is the analysis of large datasets to find trends, links or other invisible visions with small data sets or traditional operations. The burgeoning growth of devices and sensors connected to the Internet is a major factor requiring hundreds or thousands of computers for big data, storage, processing, and analysis.

An example of big data used in the development of autonomous vehicles- Self-driving car sensors can detect and analyze millions of data points to improve performance and avoid accidents.

Big Data Online Course

Learn the basics of big data and learn how to design and implement a Big Data Analysis solution using this free online course that presents this required field. Master technologies like Hadoop, Azure, and Spark and their implementation.

For big data pre-approval, consider the Microsoft Professional course with 15 big data courses. This multi-unit program is designed to pave the way for a new career. Learn how to handle real-time data flow and implement big, real-time data analysis solutions.

You will learn analytics and artificial intelligence and the use of Spark for implementing analytical solutions. This is one of the major benefits of big data. Start with a self-guided course that covers the basics of big data technologies, data formats, and databases.

About this course

Acquiring basic skills in today’s digital age and storing, processing, and analyzing data help you make business decisions.

As part of the Big Data program, this course will deepen your Big Data Analytics knowledge and improve your programming, Analytics and Artificial Intelligence Training. You will learn how to use basic tools like Apache Spark and R.

The topics for this course are:

  • A big analysis of cloud-based data
  • The predictive analysis includes stochastic and statistical models.
  • Extensive application for data analysis
  • Analysis of problem space and data needs.
  • At the end of this course, you will address a wide range of data science issues with creativity and initiatives.

Big data function

If you like data processing, analytics, and computer programming and want to join one of the hottest areas, big data is the best choice. Big companies like Amazon AWS, Microsoft, IBM, and LinkedIn are trying to broaden their horizons. At the time of this article, Big Data had already included more than 1,600 full-time jobs with an estimated salary ranging from $ 90,000 to $ 140,000 per year. Senior positions include big data developers, big data engineers, and big architects.

Workers are responsible for building big data analytics systems of big data in real-time. Because the Internet of Things (IoT) generates large amounts of data, companies need to find a way to get more ideas to stay competitive.

The demand for professionals who can design big data solutions is high and salaries are very competitive. Required programming languages ​​and tools include C ++, Hadoop, Sparks, HDFS, Soop, Scala, MapReduce, Spark, Java, Apache Hadoop, Apache, Python, SQL, and more.

Explore big data careers with online courses

Learn the basics of big data platforms like Hive, HBase, and Kafka, SQL, Hadoop, Pig, Spark and see if your exciting career is right for you. Start with a Microsoft introductory course and proceed to a full certification program. The basic course is self-contained, so you can sign up and start studying today!