NLP vs NLU- From Understanding A Language To Its Processing!

Today’s world is full of talking assistants and voice alerts for every little task we do. , Conversational interfaces and chatbots have seen wide acceptance in technologies and devices.

Their seamless human-like interactions are driven by two branches of the machine learning (ML) technology underpinning them. They are the NLG- Natural Language Generation and the NLP- Natural Language Processing.

These two languages allow intelligent human-like interactions on the chatbot or smartphone assistant. They aid human intelligence and hone their capabilities to have a conversation with devices that have advanced capabilities in executing tasks like data analytics, artificial intelligence, Deep Learning, and neural networking.

Let us then explore the NLP/NLG processes from understanding a language to its processing.

The differences:

NLP:
NLP is popularly defined as the process by which the computer understands the language used when structured data results from transforming the text input to the computer. In other words, it is the language reading capability of the computer.

NLP thus takes in the input data text, understands it, breaks it down into language it understands, analyses it, finds the needed solution or action to be taken, and responds appropriately in a human language.

NLP includes a complex combination of computer linguistics, data science, and Artificial Intelligence in its processing of understanding and responding to human commands much in the same way that the human brain does while responding to such situations.

NLG:
NLG is the “writing language” of the computer whereby the structured data is transformed into text in the form of an understandable answer in human language.

The NLG uses the basis of ‘data-in’ inhuman text form and ‘data-out’ in the form of reports and narratives which answer and summarize the input data to the NLG software system.

The solutions are most times insights that are data-rich and use form-to-text data produced by the NLG system.

Chatbot Working and languages:

Let us take the example of a chatbot. They follow the same route as the two-way interactions and communications used in human conversations. The main difference is that in reality, you are talking to a machine and the channel of your communication with machines.NLG is a subset of the NLP system.

This is how the chatbot processes the command.

  • A question or message query is asked of the chatbot.
  • The bot uses speech recognition to pick up the query in the human language. They use HMMs-Hidden Markov Models for speech recognition to understand the query.
  • It uses NLP in the machine’s NLP processor to convert the text to commands that are ML codified for its understanding and decision making.
  • The codified data is sent to the ML decision engine where it is processed. The process is broken into tiny parts like understanding the subject, analyzing the data, producing the insights, and then transforming the ML into text information or output as your answer to the query.
  • The bot processes the information data and presents you a question/ query after converting the codified text into the human language.
  • During its analysis, the bot uses various parameters to analyze the question/query based on its inbuilt pre-fed database and outputs the same as an answer or further query to the user.
  • In the entire process, the computer is converting natural language into a language that computer understands and transforming it into processes that answer with human languages, not machine language.

The NLU- Natural Language Understanding is a critical subset of NLP used by the bot to understand the meaning and context of the text form. NLU is used to scour grammar, vocabulary, and such information databases. The algorithms of NLP run on statistical ML as they apply their decision-making rules to the natural-language to decide what was said.

The NLG system leverages and makes effective use of computational linguistics and AI as it translates audible inputs through text-to-speech processing. The NLP system, however, determines the information to be translated while organizing the text-structure of how to achieve this. It then uses grammar rules to say it while the NLG system answers in complete sentences.

A few examples:

Smartphones, digital assistants like Google, Amazon, etc, and chatbots used in customer automated service lines are just a few of NLP applications that are popular. It is also used in online content’s sentiment analysis.NLP has found application in writing white papers, cybersecurity, improved customer satisfaction, the Gmail talk-back apps, and creating narratives using charts, graphs, and company data.

Parting Notes:

NLG and NLP are not completely unrelated. The entire process of writing, reading, and talk-back of most applications use both the inter-related NLG and NLP. Want to learn more about such applications of NLP and NLG? Try the Imarticus Learning courses to get you career-ready in this field. Hurry!

What is Main Role of Business Analyst

Business Analyst plays a crucial role from start to finish in the process of data analytics and extracting information from databases for the valuable data-driven insights into the business. Also, take into account that data is an organizational asset today and is constantly growing by the nanosecond causing technology to change with it.

Since data is here for the long haul, it creates a job market driven by a huge need for professionals in the analytics process. Though reputed training institutes like Imarticus Learning produce excellent career aspirants the supply positions are dismally low. Business analyst has no shortage of jobs in the next decade at the very least!

The process of data analytics carried out by the business analyst is quite comprehensive and begins with cleaning and aligning the multiple sources of data. He then uses his Business Analyst training and tool kit comprising of several suites of languages specifically designed for extracting trends, forecasts, and insights which he reports in his presentations to the business decision makers.

The decision makers then use these actionable insights to make strategic business decisions which impact the organization’s profitability, productivity, and efficiency.

Being a key player in the organization means he is a master of the web with a repertoire of programming languages and techniques. This also means he has done Business Analyst training and has a certification in business data analytics. No wonder he gets a handsome salary and is always in demand.

Education Required For Business Analyst

There is no minimum formal education required to undertake Business Analyst training. However, the curriculum lends itself to graduates in subjects like economics, business management, finance, mathematics and statistics. Classroom mode of learning can effectively help augment both practices of technical and non-technical skills required for this job role.

Business skills:
Business Analyst will need to have
• Data Analysis and Modelling
• Business Acumen
• Conceptual Thinking
• Inquisitiveness, visualization best practices and detail-oriented mindset.
• Self-discipline, ethics and maturity
• Excellent emotional IQ.

Technical skills:
Business analyst’s technical skills should have at least the following. The more suites you know the better and the quicker you can adapt to technological changes the faster your career progresses.

You will need:

• The fundamentals of computer science
• Python suite and R programming
• Proficiency in suites like Spark, NoSQL, Hive, Pig, SQL, Hadoop, MapReduce, Apache Spark, and more.
• Adept at ML, AI, handling of data that is unstructured
• Microsoft Excel
• Visualization techniques of data like charts, graphs, tables etc.
• Cloud data-storage techniques.

Personal Skills:
Business Analyst will need all of these skills which are never taught in formal college courses and yet are crucial to the job role. To spot the trends and insights calls for great quantitative problem-solving skills. The BA has to use inferential logic well to make the presentations interesting and understandable even by the layman.

His interpersonal, communicative and reporting skills are presented as nuggets of insights into the data. With fantastic reporting skills and keen business acumen, he reads piles of data to present decision-making data-driven actionable insights. Obviously, he ought to be an excellent team player too if he has to place his insights into the right hands at the right time.

Did you know that at the Imarticus Business Analyst training the focus to produce well-rounded and equipped BAs includes personality development, resume writing, interview preparation, and soft-skills training?

Job Scope and payouts:

According to Glassdoor, the median salary base is 489,641Rs for entry-level data analysts in India. In the US it was an impressive116,000 USD in 2018. Recent reports by Payscale suggest that the technology field offers 41per cent of all data science jobs.

The median salary of 53,000 to 69,000 USD for BAs in a larger enterprise is handsome when compared to other jobs. You can add on with generous commission that can double your total take-home according to the Accounting and Finance Salary Guide by Accounting and Finance Salary Guide undertaken in 2017.

Parting notes:
If you invest in yourself, you get to learn the latest BABOK V3 techniques and specifications for BAs. Become a business analyst in the fast-tracked course today.

The course for Business Analyst training with IIBA endorsement can get you assured placements in a dream career and well-paying job. Certification helps by endorsing your practical and technical skills.

All the best in your business analyst career!

Why Should You Enroll in a Business Analyst Certification Program

Businesses and the data they produce and require to thrive are growing, expanding fast and need efficient analysts to use the data for growing. Data has turned out to be the most valuable asset in any organization to help measure efficiency, success and production in all organizational tasks. Technology too has kept pace with these rapid developments and the BA is a career that tops any career aspirants list. Especially software related projects need to clean and use data from multiple sources to gain foresight and insights into the databases to help the BA analyze and use the data for predictive analysis.

Why Do Business Analyst Certifications

Organizational business analytics is of paramount importance and helps determine trends, future plans, goal setting, budgeting and many other indices for sustained growth. An approximate half of IT spends are on such initiatives which have resulted in unprecedented growth and demand for BAs.
Business Analyst Certification can help in many ways in a market where making a career in business and data analytics for business purposes is well-paid and demand booming. One of the major benefits of such certifications is that they are an essential spend whether you wish to make a career, are switching jobs or aspiring for a promotion. All organizations want to know before recruiting that the aspirant has sufficient experience and certification in business analytics practice. This is where they need a measurable endorsement and validation of your practical skills and application of learning from a reputed institution like Imarticus Learning. And, certification provides them with exactly this information. Certifications besides being a goal achieved can also provide you with a number of other benefits like
• Builds your confidence while adding to your resume.
• Visibility in a pool of aspirants in the demand-driven job-market.
• Salaries that are probably better and account for the better experience in BA practices under skilled and industry-relevant mentors.
• The credibility that you know, implement and practice business and data analysis techniques on the latest technological suites and frameworks.
• Suit and match market and technological trends in business analytics that are current and in demand.
Thus from the above diagram, you will see that this certification in business analytics is a right career step that can enhance your resume, build your confidence and help with landing those BA jobs with the best payouts. The McKinsey study reports that 490,000 data science jobs are vacant and have only less than 200,000 certified and qualified professionals to fill them. TechCrunch reports claim worldwide demand for data analysts will grow by 50% and fuel better payouts while increasing the demand-supply gap.
The payouts:
According to Glassdoor.com the median salary of a US business analyst is 77,712 USD per annum. The US Bureau for Census reports that median salaries for BA’s are on an average of 34,940 USD per annum and clearly indicates that most BAs draw more than this figure. Of course, this is a huge plus when making a career or changing jobs or roles. Business2Wirereports show that a certified professional earns 20 to 40% more than the rest.
Qualifications Needed
Can you believe that with such great pay packages all you could possibly need to launch your career is finding the right training course and partner? A basic sound degree in finance, economics, business administration etc definitely helps though not mandatory. Along with the boom in data technologies, the demand for training institutes to cater to the huge number of trained personnel has also seen tremendous growth. That is exactly why finding a reputed training partner like Imarticus makes a huge difference. Their curriculum is sound, practically-oriented and has industry acceptance globally. The certification is widely accepted and even has modules on soft-skill development, resume writing and such important topics. Getting into the right job is also easy with assured placements and effective mentorship from certified industry-drawn instructors and mentors.
Parting Thoughts:
Data analytics is a practice- intensive course best learnt from a reputed training institute like Imarticus Learning. Certification enables smart career choices and normally achieves a better pay-package and learning retention. Choose your vertical and ensure you get lots of practice then. All the best then and do not forget to call Imarticus today.

How Do I Get Agile Certification

Today being Agile is the practice that businesses tend to follow to improve their efficiency and productivity. If you want to thrive in an Agile world then you must have practical knowledge of being Agile, work experience and certain foundations in the right kind of Agile concepts. These practices are best learnt at a number of different educational and training institutions like Imarticus Learning. So let’s get you started off in learning and attaining the certification.

Why Agile Certifications Are So essential

With the rapid pace at which technology and data have evolved in the last decade, organizations have had to find newer practices in management too. Cross-functional teams and Agile practice too have made a mark in domains like Service Management, Project Management and such.
Whether you wish to make a career, switching jobs or aspiring for a promotion, organizations want to know before recruiting that the aspirant has sufficient experience and certification in agile practice. This is where they need a measurable validation of your Agile experience and Agile Certification from a reputed institution provides them with exactly this information.
Certifications besides being a goal achieved can also provide you with a number of other benefits like
• Builds your confidence and adds to your resume.
• Visibility in a pool of aspirants in the job market.
• Salaries that are probably better and account for a better experience in Agile practice.
• Credibility that you know, implement and practice the techniques of Agile frameworks.
• Match market and technological trends that are current and in demand.
Thus from the above diagram, you will see that certification in Agile is a right career step that can enhance your resume, build your confidence and help with landing those jobs with the best payouts.

Best Agile Certifications

The Agile domain is not a single technology or certification. Rather it speaks about the concepts of such practices within and on an Agile framework. Hence you can choose the right certification depending on the size of the organization, its needs, technology and culture.
To leverage your ROI you can use the above diagram to choose the right certification for you. While Scrum is really the most popular Agile platform we can briefly look at all of them to help you decide the best. Obviously, you will spend money, time and effort in gaining these certifications. Hence a bit of research does help.
1. PMI-ACP or PMI’s Agile Certified Practitioner.
Offered by the Project Management Institute this certification is best for Project Managers. It helps you understand the basic concepts of Agile methodologies, LEAN, KANBAN and SCRUM among others while endorsing your measurable skills in them. You will need work experience or 30 PDUs considered equivalent to having the appropriate training and experience required for certification annually to renew the certification. Regular practice of your learning is the key practice in Agile.
2. CSPO/CSM/ CSD/CSP from Scrum Alliance.
Agile projects run well with the Scrum framework of management practices. Scrum is popular for software projects and offers certifications as a developer, scrum master or product owner. The training for this certification lasts 2 days for the CSPO and CSM certifications and 5 days for the CSD programs. This certification is an advanced and professionally-oriented certification that demonstrates proficiency in Scrum concepts, procedures, roles, artifacts and practices. The CSP certification can be directly attempted.
3. PSM/PSPO/PSD from Scrum.org:
These three-levelled professional certifications are certifications that are considered more difficult to attain and rely on passing the exams. However, the exams itself thoroughly check practical applications of scrum practices on the Agile platform and may require real-world experience and learning to implement. Course training is not mandatory but preferred for the PDUs they earn and assistance in industry-related situations and mentorship.
4. SAFe/ Scaled Agilist
The 2-day certification training is mandated and certification will need a minimum of 5-experience years in software testing, business analysis, development, project management, and practice of scrum techniques. Learn to launch SAFe in an agile environment and practice techniques in leadership using Lean-Agile principles for continuous value-added releases of software and improving productivity. Cash in on the many companies to transition teams as an Agilist or Coach.
Parting notes:
Agile Certification is essential to launch agile careers and for professional growth bring with them many career and financial benefits. Choosing the right training partner is half the battle won. Try Imarticus Learning for an Agile experience with benefits like assured placements, reasonable fees, certified mentors and instructors and many more. Hurry!