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Category: Analytics

Predictions For The Future Of Big Data

Posted on by Imarticus Learning

While a lot of experts believe that there’s some great stuff in store for the future of big data, it is also true that technology will be greatly advancing throughout 2017. This is why there are a number of complex facets of big data, which are increasing by the day. Various attributes of big data, such as artificial intelligence and cloud computing, are believed to have a huge impact on big data analytics. There are a number of factors that exhibit the potential to change or more likely determine the direction at which big data is moving. For instance, there will soon be a number of customers who would replace the businesses, in demanding various amounts of data, to look for the cheapest hotels and understanding climate issues and similar concepts. There is a very acceptable idea today, of a reality where it would be the customers, the common man, if you may, who would be demanding personalized, tailored artificial intelligence technology, to suit their particular needs and demands.
While these seem like mere examples, with a tinge of realism, there are absolute chances of these becoming a reality very soon.
Ten years ago, all the data that was ever generated and accumulated, made up the highest denominations of storage space, which was namely Gigabytes or Terra-bytes, but the recent few years have made an explosion of data, into what is known as exabytes; this term roughly refers to billions of Gigabytes of data. This is where we derive the term ‘big data’ from, it is to denote the humongous amounts of data that has been generated, all over the world, in such a short amount of time. Regardless of whatever happens in other aspects of this field, one thing we can be absolutely certain of. That is, that data will be continuously growing, which means that soon there will come a time, when we will be talking about Zettabytes, which roughly amounts for a trillion Gigabytes.
Artificial Intelligence began its advent, as just a buzzword which was continuously used by sci-fi movie enthusiast and was mainly used to refer to technology only seen in sci-fi movies and the likes. Today, this term is no longer reserved for those, who are obsessed with technological gizmos, or those involved in science. It has very well become a part of our everyday lives, through various examples, like Google’s Allo, Microsoft’s Cortana and Apple’s Siri. There are absolute indicators that AI has full potential of transforming, from something nice to have to very essential technology to have. There are so many changes and futuristic developments that big data can make today, as well as in the future.
One of the biggest prediction is the fact that big data can result in various advanced applications for fields of national security, customer behavior tracking, weather forecasting, HR, sports, health and so on.

One prediction is definitely going to happen, which is that big data will have a better, smarter and a huge impacting role to play in the future.

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How an Artificial Intelligence and Data Science Work For an Online Conference?

Posted on by Imarticus Learning

Artificial Intelligence and data science are the driving force behind most of the online conference tools available now. The more advanced the AI used, the better its experience is for the users. The advancement enables the user to have a more personalized and better quality video feed and experience.

Artificial intelligence and video conferencing

Already there is the option to replace and blur the background as per convenience. The use of Artificial Intelligence and data science in this arena is much more than that. Background manipulation is only the tip of the huge iceberg.

There are other features such as translation for those who are not familiar with the language spoken and it works either way when implemented properly. There is another possibility of transcribing the same to make it easier to understand.

The noise reduction in the background comes as another advantage where there could be distractions, especially when it is working from home scenarios.

All of these features make online conferencing more convenient and comfortable which is crucial at the moment. As work from home is becoming more normal than ever and online conferencing is the big ‘thing’ now, it needs all inputs from the Artificial Intelligence industry to make it simpler.

How data science comes into the picture?

Although Artificial Intelligence and data science sound similar, they are two sides of the same coin. While AI is the major force behind online conferencing, data science is no less important.

Data science comes in handy when the employee’s data needs to be analyzed. For eg, in order to find the ideal time for a conference, the log in log out time of the employees would be useful. By analyzing this data, a more appropriate time could be deduced where there is a possibility of maximum participation.

The chatbots powered by Artificial Intelligence could also need the backup of data science to implement it more effectively. It helps to communicate with multiple users at the same time and reduces the call time for both sides.

Amazon has implemented these chatbots and has found success with the same. The users have also expressed satisfaction when it comes to minor issues which do not usually need waiting in line to talk to customer care. This is a perfect example of AI and data science in use.

Learn Artificial Intelligence and data science

AI and data science are raising the bar with their advancements and specializations. Its popularity and demand are at an all-time high with numerous job opportunities in both fields.

People are queuing up to enroll in an Artificial Intelligence course at any cost. Specializing in this area is fruitful for the professionals and newcomers equally.

Artificial Intelligence and Data ScienceStarting a data science career may have been difficult in the past but it is a golden opportunity for all right now. Unlike Artificial Intelligence, data science is more beneficial for working professionals to maintain and advance in their careers. It helps them climb the corporate ladder a lot easier than ever. Moreover, there are multiple branches in data science that one can easily choose the most appropriate for their career.

Wrapping up

Though data science and Artificial Intelligence were present in various aspects of life, the pandemic has made it more familiar for the common man. Online conferences are only one such aspect but the one that has made the maximum impact on everyone. There was a time when such concepts were frowned upon but the increasing use of smartphones and the user-friendly approach of such technology has made it possible to make online conferencing a normal and ordinary household term.

How COVID-19 Is Revolutionizing the Indian Analytics Industry?

Posted on by Imarticus Learning

As India recovers from the deadly second wave of the COVID-19 pandemic, the country is witnessing a first-hand revolution in demand for data analytics as a solution and its various use cases. An industry that has come to fruition over the last 7 years has steadily been gaining the attention of the masses; however, after the pandemic, experts are taking note that the importance and popularity of data analytics as a career choice will increase exponentially.

A recent report published by Analytics India Magazine shared that the Data Analytics Industry earned a total revenue of 35.9 bn USD as of March 2020, signifying a sharp increase of 19.5% over and above the past year. The report went on to highlight the fact that Data Analytics as a solution will encompass 35% of all IT solutions in India by the end of 2025.

This and data from several other peer-reviewed sources point at the steady growth this industry is witnessing in India, making it an ideal choice for those who are looking to foster a career in data analytics both as a novel approach or as career advancement and transition.

But what changed in the industry, and why are experts predicting an increased demand in this domain?

To put it simply, over the past couple of years, companies across all industries have slowly made the transition from guesswork to predictive analytics, which empowers them to foster key decisions by analyzing past market trends.

Although this industry was witnessing steady growth over the past few years, the onset of the pandemic put it into perspective for many, how important it is to expertly analyze the data we collect and take note of key dynamics and trends which will influence consumer behavior for days to come.

For instance, before the pandemic, data harvesters rarely focused on the movement data they collected from consumers, as use cases of these are yet to be pinpointed; however, as the nationwide lockdown started, it became abundantly clear to key stakeholders that expertly analyzing movement data can not only help them track the spread of the pandemic, but also equip them with key insights in terms of precautionary measures to be taken.

However, this use case would not have been possible without the intervention of advanced data analytics engineers from the best firms in India, thus contributing to the rising demand for talented professionals in this field.

Data Science Course

The Way Ahead

After the US, India is set to be the next battleground for developing a state of art data analytics hub, and several key observers of the industry have taken note of this fact. With the rising demand for data analytics as a solution among both public and private entities, there has never been a better time than this to foster a career in data analytics.

Coupled with the rising demand, there are now more resources available for those willing to learn data analytics and foster a future career which is immensely rewarding across multiple verticals.

Here Is How You Can Become A Future-Ready Data Analytics Professional!

Posted on by Imarticus Learning

Employers of all kinds are fast recognizing data science as one of the most in-demand skills. Businesses, government agencies, medical institutions, and charitable groups are all hiring data scientists at a rapid pace.

Do you want to enter the workforce or improve your data science skills? Now that data scientists are in high demand; there are plenty of opportunities to study the craft.

Enroll In Any Imarticus Online Data Science Courses

Online learning is the most cost-effective and trustworthy method of instruction. Before you enroll in a course, verify that it covers the topics you’re interested in and that it is appropriate for your ability level.

Data analytics courseIndustry specialists together created the Imarticus postgraduate data analytics certification program to help you understand real-world Data Science applications from the ground up and build powerful models to deliver relevant business insights and predictions.

This program is for recent graduates and early-career professionals interested in pursuing a data science and analytics career, the most in-demand job skill. With this data science course with a job assurance guarantee, you may take a considerable step forward in your career.

 

How Do I Register For The Data Analytics Course?

This data analytics certification is just what you need if you’re an inquisitive spirit who wants to dominate the digital business by studying the latest and most in-demand data science abilities.

Once you have completed your counseling session and understood this course is right for you; you can then proceed to apply for the data science course in three easy steps:

  • Enquire
  • Enlist in a counseling session
  • Enroll

What Is the Program’s Duration?

The PG Program in Data Analytics is a full-time program that lasts six months (on weekdays). Each week, you will have 4-hour-long lessons from Monday through Friday.

What Is a Hackathon? How Does It Assist?

While enrolled in an Imarticus course, you will be assigned a Course Guide/Mentor who will assist you academically and advise you on the best career route for you.

Your Course Guide will inspire you to finish assignments, attend classes, and get the most out of their PG program in data science with placement.

Moreover, your Course Guide or Mentor will also be playing a role in the following activities:

  • Keep an eye on your grades and academic progress.
  • Provide you with insider information to help you land the job of your dreams.
  • Encourage you to do better on projects and homework in class.
  • Make lasting friendships that will help you get through the course and beyond.

The hackathons at Imarticus Learning allow you to compete against a large number of students and stand out from the pack. They are regarded for instilling critical thinking skills in Data Analytics and pushing them to achieve at a higher level.

Take Away

It takes more than being able to evaluate large amounts of data to become a Data Analytics Professional.

You must also be familiar with the organization’s business processes and identify ways in which your participation will impact, which is now available with Imarticus online data science courses.

What Makes an Imarticus – UCLA Certified Analytics & AI Professionals To Be Forever in Demand

Posted on by Imarticus Learning

Modern-day technologies like AI (Artificial Intelligence), ML (Machine Learning), data analytics, etc. are revolutionizing the working culture of businesses & firms. Analytics professionals use these technologies to ease & pace the analytics process.

Analytics professionals are required to extract meaningful insights from huge chunks of unorganized data to make better business decisions. Professionals with a certification from a reliable source surely get an edge over others when it comes to upward mobility.

Let us see how can you get the Imarticus – UCLA certification in Analytics & AI along with its benefits.    

Course Overview

Imarticus provides a post-graduate program in Analytics & Artificial Intelligence in collaboration with UCLA Extension which is a major certificate issuing institution in the United States.

Analytics and Artificial Intelligence CourseYou will get dual certification from two reputed sources if you opt for this course. Many individuals have built their Analytics and Artificial Intelligence careers successfully with the help of this course.

You will be receiving live training from world-class celebrities from UCLA & Imarticus. This course has around 400+ hiring partners with a 3-30 lakh salary range. You should have completed your graduation with at least 60% marks to enroll in this course.

Let us see how Imarticus – Analytics & AI professionals are forever in demand.

Broad Course Contents

This 28 weeks long online course covers all the aspects of analytics & AI along with data science fundamentals which helps in building a successful career. You will get to know about various tools/languages via this course like Python, Scikit-learn, Keras, TensorFlow, NLTK, OpenCV, etc. The major topics which will be covered in this course are as follows:

  • Data Science Fundamentals – You will be introduced to statistics in the first four weeks. You will also get to learn Python basics during this tenure. After that, you will perform data analysis with Python. Various concepts of data processing & statistics like central tendency, standard deviation, Z-score, etc. will be taught to you.
  • Machine Learning – ML will be taught to you for 6 weeks. Various topics of machine learning like multiple regression, correlation analysis, dummy variables, etc. will be taught to you. You will also be able to run various ML models in Excel in the practical classes. You will also learn about data science business models developed with the help of machine learning.
  • Deep Learning – Deep learning is a cutting-edge technology used for forecasting & enhancing decision-making ability. You will be taught about deep learning with an industry-first approach for 6 weeks.
  • NLP – Natural Language Processing (NLP) has helped in enhancing the ways humans react with computers. It has also automated the analytics process in firms/organizations. You will be studying this topic for about 4 weeks.
  • Computer Vision – You will be taught about computer vision, an AI-based technology that helps computers in extracting information for digital images and videos. You will focus on this topic for around two weeks including practical classes.

Pros of the Course

Besides the gravity of certifying institutions, the teaching methodology of this course ensures that the students will have a long run in the industry.

 

Analytics and Artificial Intelligence CourseThe pros of opting for this Imarticu’s Analytics and Artificial Intelligence course are as follows:

  • This instructor-led training is self-paced so that you can take your time to understand concepts.
  • You will work on various in-class industry-oriented projects to know about the practices in the industry.
  • You will also come across practice projects, boot camps, capstone projects, workshops, etc. if you opt for this course.
  • You will also get to test yourself in a hackathon at the end of the course.
  • The last two weeks of the course will be dedicated to placement preparation where you will get to learn from industry experts. Imarticus also provide excellent placement support to its students.
  • You will be provided a dedicated program mentor to guide you through the course and also for career advice. You can also monitor your test results & course progress.Analytics and Artificial Intelligence Course

Conclusion

This course follows an industry-first approach to make you ready for the industry. You can build a successful career with the broad topic coverage & placement support of this course.

Analytics and Artificial Intelligence Curse

Enroll in the Imarticus – UCLA Analytics & AI course now!

Tableau: Accelerating Decision-making with the Power of Visual Analytics!

Posted on by Imarticus Learning

Tableau is one of the most frequently used data analytics tools. It is used for data visualization where the data is represented in a pictorial or graphical form. The raw data is converted into an understandable format by Tableau which can be further used for data analytics.

Firms use Tableau to understand the data and to use data analytics for empowering their business. Tableau helps in decision-making via forecasting, analytics, risk assessment, etc.

Let us see more about Tableau and how it helps in decision making & data visualization.

Importance of Visual Analytics

Visual analytics is the analytical reasoning of data via interactive visual interfaces which in this case is Tableau. Visual analytics helps in understanding the data better, finding outliers in the dataset, discovering insights, etc.

You can identify new opportunities for your business if you are visualizing your data via a good platform like Tableau. The benefits of using Tableau for visual analytics are as follows:

  • Tableau has excellent visualization capabilities and it helps in converting unstructured data into absolute logical results that are interactive. It is far better and powerful than its equivalent tools available in the market.Data Visualization
    The easy-to-use interface of Tableau provides data analysts to work faster and better. The drag-and-drop way of arranging unstructured data into diagrams and graphs makes it easier for beginners.Tableau is powerful and provides high performance of big data sets too. Beginners can easily complete Tableau training in less time and can get fluent in using it.
  • You can create a unified dashboard on Tableau where you can connect to multiple data sources. You can connect your dashboard with Hadoop, SAP, DB, etc., and can visualize data better.
  • There are a lot of Tableau users throughout the globe and one can find a helpful Tableau community on online forums. Tableau also provides a mobile application through which you can keep your visualized data at your fingertips.

How Tableau Accelerates Decision Making?

Tableau helps in visualizing and analyzing data. The structured data can be used for risk identification & management, increasing ROI, business forecasting, etc. You are well informed about your firm’s situation via data analytics and get to know about the upcoming market trends. You access the risk involved in any new opportunity via data analysis and then obtain it if is going to boost your business.

Tableau training in data visualization

Data analysis introduces clarity in your organization with a data-driven approach to obtain business objectives. Decision-making is hugely impacted via the use of data visualization tools and you will stay ahead of other firms in the market.

One can easily create and share analytics reports to your employees via Tableau, giving a sense of clarity. You can also use customer data to provide better services to them in the future. One can complete Tableau training online to understand how to use it.

Conclusion

Tableau is a powerful data visualization tool that can boost your business with better market predictions & risk assessment. Recent innovations in data analysis due to AI & machine learning have taken data analysis to a next level. You can learn more about data analysis via analytics courses available online. Start using Tableau for your business now!

Importance of R Programming As a Tool in the Machine Learning Spaces

Posted on by Imarticus Learning

With the announcement that, Data Science is one of the sexiest careers of the 21st century and the subsequent success of e-commerce giants with the help of data analytics, the world has seen a rise in the demand for data scientists. These professionals who are also known as Data Analysts are responsible for extracting this data, mining it, analysing it and drawing insights so as to add value to the firms.

A lot of companies across different fields have been hiring these professionals due to their specific skill set and the ability to turn numbers into growth and success. These professionals usually work with one or many data analytics tools like, SAS Programming, R Programming, Hadoop and Python and so on. Of these, R Programming is one tool, which has recently seen a lot of popularity and increased number of users, due to the fact that it is open sourced and easily accessible.

All of these data analytics tools are used by the professionals, depending upon what kind of job they want to accomplish.
Data AnalyticsR Programming is most popular choice, when it comes to thoroughly understanding data, by using various graphs and statistical methods. This tool becomes especially important when it comes to machine learning spaces, mainly due to its several packages and advanced implementations, useful for the top machine learning algorithms, which every data scientist is familiar with. All of these packages help in different kind of functions and are highly sought after, because they can be downloaded free of cost. Being an open sourced platform, R Programming has a huge community of contributors, the world over, who regularly add technical updates, which can easily be added to your projects.
These packages that are a part of R Programming can perform various specific functions like, take care of the missing values, allow you to partition your data, classify and combine, and find out the hidden layers in your data and so on. This vastness and variety in packages, makes for R’s strongest suit. Furthermore it is able to offer rich functionality, for the developers so as to enable them to build their own tools and analysing methods. Being open sourced, has given R a lot of leverage over the other data analytics tools, as the users can very well extend it without the need for any permission. What increases R Programming’s importance in the space of machine learning, is the fact that any new research in the field of data science, has a compatible package of R with it.
CIRP- Certification in R ProgrammingR Programming since its inception in around the late 90’s, has only seen major growth; and now, it is being assimilated into various commercial fields such as Oracle, IBM, MATLABS and others. There is a long list of companies in the data analytics industry, which have already declared their adoption of the platform. Adding to its popularity, it has been declared as the most popular platform for any successful practicing Data Scientist. As its popularity increases, there are a lot of institutes offering certification courses in this data analytics tool. Imarticus Learning is a leading education institute, offering industry-endorsed courses in R Programming, in both classroom and online format.

How Do You Become A Machine Learning expert?

Posted on by Imarticus Learning

Machine learning is a powerful tool used to transform information into knowledge. Over the past few decades, the world has witnessed a surge in the data which is useless unless it is analyzed and used effectively. Machine Learning makes this easier. By training machines to analyze the data sets and their patterns and behaviors, data science helps create an environment super adaptable for the organizations that need help with data every single day.

There are several methods to master Machine Learning and Machine Learning Certification is one of them. Imarticus Learning offers Machine Learning and Deep Learning Prodegree. 

This course helps the learners in the following ways:

Learners Can Gain Job-Relevant Skills

Along with building skills in Machine Learning, Python, deep learning, and IBM Watson through 16 industry and in-class projects, candidates get an intense Capstone project.

Smooth Career Transition

Imarticus has witnessed more than 1400 successful career transitions among its learners. This was possible due to the career support module which comes within the program, enabling a smooth transition into ML and AI fields.

Receive Industry Certification

The machine learning certification awarded by Imarticus is endorsed by IBM, a global leader in providing solutions that are technology-driven.

Take Advantage of Online Physical Classrooms

The classes are Live. They come with facilitated instruction for best learning outcomes. The learners can learn while interacting with the instructors, while gaining a full-scale knowledge online.

The Emergence of Big Data In The Field of Agriculture

Posted on by Imarticus Learning

The recent couple of years have been witness to this huge amount of buzz created all over the IT world by the concept of ‘big data’, with it more often than not being related to in the print and electronic media. One of the most phenomenal discoveries was that all the data that has been rapidly generated was stored in the entirety of the past decade. For instance, it was in the year 2000 when 25% of the world’s information was being stored in the virtual format. Cut to the current year, more than 98% of information is stored in the digital format in our daily lives. Believe it or not, today, the entire world is generated more than 30,000 gigabytes of data that is almost being generated every second of every day. When you sit to carefully think about this, the change seems to be of almost astronomical proportions. This as it would, in the progression of all things IT, has led to the creation of huge data sets and in a way there has also been the whole issue, about how and where and especially in what manner would the data be stored.
More important than that is the question of what. The answer to what of this data, more specifically the answer to what exactly can be done about this data, lies within two words: Data Scientist. These are professionals who are basically given the responsibility of extracting value out of these huge data sets, thus in a way, assisting in making valuable decisions, for the growth and development of the companies. Today there is no field left that, has not been penetrated by the. The various fields that have been developed, in terms of their efficiency and their functioning, mostly due to the presence of big data are, health, IT, finance, oil and gas and many more.

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The newest addition to this ever increasing list, is the field of agriculture. The National Research Council, is of the opinion that something known as, precision agriculture can come into existence due to the introduction of big data. It basically refers to a management strategy, which will be making use of information technologies to collect data, from multiple sources in order to facilitate various quality decisions, when it comes to anything and everything related to crop production. While so far the system of precision agriculture and big data are a little different from each other, in terms of the technical aspects, there are chances of inculcating these two concepts in the near future.
Precision agriculture is still involved, with graphical representations of the field maps, wherein the main purpose is to just identify the areas which would be less nutrient deficient in order to sow seeds. As this concept already has a lot of generation of data in place, it surely will help with the process of data analytics, thus these two fields being complementary. This promises a lot of development in terms of job opportunities for all those great Data Scientists out there.
If you are planning to earn career in data science, then Imarticus Learning offer various business and data analytics courses in both online and classroom mode.

What is the best way to learn Artificial Intelligence for a beginner?

Posted on by Imarticus Learning

What is the best way to learn Artificial Intelligence for a beginner?

Over the past few years, the field of Artificial intelligence has displayed tremendous amounts of growth. AI is now driving businesses of billions of dollars across various industries and enabling enormous career opportunities.

If you have plans to learn artificial intelligence, it is the perfect time to start acting on it. This article discusses the best way to master AI for beginners.

1. Begin with the Basics

The first thing you have to do is unlearn everything about the AI. Clear all the preconceived notions and make your mind open and fresh for learning. Now you can actually start learning.

Start with the basics. Learn about the various technologies involved and their objectives. It will help you get oriented at the beginner level. You can refer books or blogs to get through this step.

2. The podcasts and Videos
The next step is listening to podcasts and videos. It will give you more comprehension about the industry, application of different technologies, the effect of them in our real life, various techniques in them and many more.

Often these videos and podcasts come with jargons and concepts involved. So, it is important to have a fair amount of familiarity with the basics.

3. Guided Courses
A dedicated artificial intelligence course is one of the most important practical ways of mastering AI. A guided course will take you fully into the world of Artificial Intelligence. You will get global exposure to the skills required. Usually, such a course will brush up on the basics you have already taken care of and then help you develop the right technical skills required to work with AI.

If you are planning to join the industry, such a course is inevitable. A guided course will also put you in touch with experts of this technology and excellent study materials. So, it is important to attend a guided course for a complete learning experience. Along with that, you will get a certification proving your excellence in AI at the end of these courses. It will help you during the search for a job.

4. Projects
The best way to learn anything is to practice it properly. So, it is essential to indulge in lots of projects and gain practical exposure. You will be doing capstone projects during your course. From those projects to the projects you are personally interested in, you have to constantly work and build your portfolio. By doing this you will be able to master this skill in a very short time.

For a beginner with very low prior experience with AI, these are the little steps that make sense. Also, through this, you will be able to find some time to process the transition between each step and prepare for the next one. Within just a year, this road map will equip you with AI capabilities that are good enough to be a part of the industry. So, start your process as soon as possible and take part in the AI revolution going all around the world.