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Category: Technology

Analytics, Change Management & Technology

Difference Between Data Analyst and Business Analyst

Posted on by Imarticus Learning

Data Science is crucial in today’s modern world where AI, ML, VR, AR and CS rule. These sectors are where most career aspirants are seeking to make their careers because of the ever-increasing demand for professionals and the fact that with an increase in data and development of these core sectors, there are plentiful opportunities to land the well-paid jobs.
In the earlier days, data scientists were obscure and restricted in the IT server rooms and department. Today they are the blue-eyed boys in the business world. According to Indeed.com analysis reports, a 4,000 % was reported in this profession. This then justifies why the demand for a trained Data Analyst with domain expertise, mathematical and data engineering skills (who are considered invaluable organizational assets), has been inordinately high. Supply positions are never catching up and their pay packages have seen many a career aspirant’s dreams fulfilled.
An analyst is a specialist in data analysis processing both facts and figures to gauge trends, get gainful insights and make forecasts using predictive analysis. Most people tend to use the two terms business analyst and data analyst interchangeably. Though this can be applied in terms of smaller businesses the “business analyst” in larger enterprises actually covers both systems and data analysis. The scope of the BA is not limited to being only a data analyst but appropriates roles of a data scientist too. What both the analyst and BA do with the data is entirely different and their job skills, the environment of operation and technical skills will definitely differ.

The Role Differences:

The two roles are at NEVER interchangeable in job-roles, and they definitely aren’t the same in terms of career progression, job-scope, payouts, and skills required for the job among other differentiators. The business analyst is definitely better paid since his role demands more and his skills are relatively wider than that of a Data Analyst. To get a better understanding of the job differentiators one needs to look at the job roles of the scientist, analyst and BA.

Data Analyst Role

To manage such large volumes of data and extract information from such data sourced from multiple origins the data analyst is a necessity and a good analyst is a prized corporate asset. Their role in the enterprise is to sift through the data and provide the information, forecasts, predictions and such to the decision makers. The evolution of business strategy and informed decisions is thus dependent on data and the data analyst.

Business Analyst Role

The BA and data analyst roles focus on the use of data in focused roles. The BA assesses data and system infrastructure requirements from a business-perspective. The data analyst, on the other hand, takes interest in the databases and is more focused on placing his insights in the hands of decision makers.
Data analysts are generalists who score over the BA and can tackle more data analysis problems since they have the multi-disciplinary technical skills that include engineering skills of a database engineer, deal with algorithms using the skills of a statistician and have expertise in the data domain/subject matter proficiencies of the data analyst. They focus on insights for business decision making. The BA in addition to being a data analyst also includes focused analysis related decision making on data, systems and infrastructure in decision making.

Skills Required

It is true that a Data Analyst collects databases, manipulates them for foresight and analyzes data for predictions. His presentations, reports, and insights often comprise the latest trends, visualization of the data, and foresight in the form of charts, tables, graphs, histograms and more.
All data jobs need strong business acumen and domain expertise. The technical skills and the level of influence on the organization’s performance mean a good analyst/BA will find the right solution with the most value to the business problems presented.
Mere technical skills and degrees are not enough. Both streams aspirants need to be excellent communicators with the data scientist and analyst who have a problem-solving attitude and can lead from the front. Soft-skills are very important in all teams.
Both data, as well as BAs roles, calls for problem-solving attitude and technical expertise in SAP, PeopleSoft applications and Microsoft Excel suite. The formal educational credential is graduation or business-related degree. An MBA is a plus point.
Becoming a specialized Data Analyst at the reputed Imarticus Learning helps start careers such as business analyst, data scientists, and data analysts. The certification issued at Imarticus is globally accepted as an index of your knowledge and practical skills. So, don’t toss a coin to decide. Explore your career with an Imarticus Business Analyst Course. All the best!

Also Read: Difference Between Business Analyst & Business System Analyst

Rethinking the Role of Business Analyst

Posted on by Imarticus Learning

The Business Analyst can be found in most enterprises and their job roles can be classified under the heads of

  •  Requirements analysts
  • Systems analysts
  • Business analysts
  • Business system analysts

Good BAs are people-persons with excellent business domain understanding and include proficiency in interviewing, (JAD), modeling sessions, and model reviews.

The Need for Business analyst

The three oft heard justifications in traditional organizations for hiring a Business Analyst are not justifiable.

  • Developers fail in eliciting requirements because of poor modelling and communication skills required for this. This is remediable through training.
  • Stakeholders cannot document and model their requirements. Again training stakeholders using the right techniques and tools can help them do most of the work with a little help and guidance.
  • One need’s expert analysis. This is right and does not imply you need a BA to do just that. Agile BAs may not be good at all aspects of the job and analysis may be one of them.

Role of the Business Analyst

Business analyst on a traditional software development project will perform one or more of the following activities:

  • System scoping
  • Translates needs of the business
  • Technical issues translation
  • Document and model
  • Be the broker for communications
  • Be a political mentor
  • Validation and testing
  •  Stakeholder representation

Common Issues For Business Analyst

Some of the common Business Analyst problems that occur are mentioned below.

  • Lack of the right skills.
  • BAs may influence the project.
  • Outdated BAs.
  • BAs may become communication hurdles.
  • BAs may reduce the influence of stakeholders.
  • BAs over analyze.
  • BAs reduce feedback.
  • BAs reduce developer opportunity for communication skills.

Rethinking for Agile Analysts

Agility is to ensure that the processes and development are done in iterative items on a product backlog where the sprint and responsibilities of delivery of products devolve on the team. That means trouble as there is conflict in the BAs role and team activity.
Hence the following methodologies based on Agile practices were evolved to help to scale Agile in the organization.

  • One room methodology – Developers and Stakeholders are Co-Located
  • Over the wall methodology- Not Co-Located but Single Location
  • Across the network methodology- Dispersed/Distributed Development

Business analyst as Product Owner and the role of the Business analyst in scaling Agile cannot be discounted and are Agile measures to empower the new BAs rather than stick with traditional roles. This should be encouraged just because Agile in order to scale needs the removal of all hurdles and the spread of Agile thinking across every employee in the organization. This, of course, involves the Business analyst and gives them a chance to transform into Agile roles of being stakeholders in the process.

Though it would be impossible to discuss the topic in great detail, suffice to say that rethinking the Agile BAs role is a necessity in large organizations and cross-functional teams. So how would one understand better the benefits of Agility? The answer lies in Agile training and implementation from the grassroots levels. Doing an Agile course with a reputed and accredited training partner like Imarticus would bring in more than one benefit.

Benefits of Doing Business Analyst Course

  • You get trained in a very short time period.
  • Practical skills in the latest technology are enhanced through project work, assignments etc keeping your sports vertical in mind.
  • They have sufficient assignments, tests, hands-on practice and boot-camps to help you revise and learn the tough subjects.
  • They have a variety of subjects like ML, AI, finance, fintech etc in which they offer certification.
  • They use certified instructors and mentors drawn from the industry.
  • They integrate resume writing, personality development, mock interviews and soft-skill development modules in the course.
  • They have convenient modes and timings to learn at your own pace and online for professionals and in the classroom mode for sports analytics career aspirants.
  • They offer assured placements too!

Concluding thoughts:

An experienced Business Analyst will find it hard to settle into Agile teams because they have issues with over-modelling and over-specifying. To be effective members in Agile, they need to rethink, be collaborative, flexible and disciplined. This takes effort and time.
The easiest way is to do an Agile specialist course at Imarticus Learning where one can get acclimatized through industry-relevant assignments and project work.
Become a specialized BA today!

What are the Skills Required For Full Stack Development

Posted on by Imarticus Learning

What are the Skills Required For Full Stack Development

Web developers may be grouped into three very wide kinds based on their knowledge of languages and software utilization.

Frontend Developers:

They concentrate on the feel, look, interactivity and issues of the interface and display of websites. Their skills lie in CSS, HTML, Javascript and such languages and normally use one or more Java frameworks.
Backend Developers: They concentrate on server-side applications and write for functionality and logic issues.

Full-Stack Developers:

They combine their stack of language skills and apply it to issues at both ends.
Though not exhaustive the skills for full stack developers must contain the following for front-end developers

CSS
HTML
Framework like Bootstrap
Javascript language including DOM flexibility covering among others
Javascript fundamentals, best practices, operations and workflow
Manipulation of DOM
JSON, JQuery, and AJAX
Design and patterns of Javascript
Object-Oriented Javascript
Testing with Javascript
HTML 5 Canvas
Angular/React.js
Optimization of browser-rendering
Since the idea is to be a full-stack developer let us include the back end skills.

Any web-server like Apache, Nginx, Full Stack Javascript (MERN/MEAN) for server-side framework coding.
MongoDB, Postgres, Oracle, or MySQL for database technology and storage issues.
Ruby, PHP, or Python which are all-purpose languages.
Node JS, Ubuntu, FreeBSD, or CentOS deployment OS.
Any system like Git for version control.
Certification adds certain features to your resume while giving you the hands-on practical knowledge and skills to be job-ready from the start. Though training is not mandatory they serve as a boot-camp where you get to practice on industry-relevant knowledge of IT services and issues.

Courses offering full stack web developer certification have the following features.

Immersive workshops to help you inculcate the fundamentals, industry-relevant practical hands-on tutorials and exercises.
Understanding the various interconnectivity issues and being prepared to handle resolutions at both ends.
Getting tutored and mentored by certified industry experts.
Using extensive code-base online libraries.
Building and deploying your own website applications.
With the course, you will also get:

Downloadable e-resource book.
One credit per hour of training experience
Certification from the training institute.
On a farewell note, in a competitive modern world, it is crucial to stay abreast and continuously learn to update your skill sets to include futuristic technology and tools. These workshops can be your route to better career prospects, continuous learning and practice, building new applications, interacting with peers, and helping others in the developer community. Networking, collaboration and communication along with social skills is also unseen essential to becoming a full-stack developer.

What is the difference between a MEAN Stack Developer and a Full Stack Developer?

Posted on by Imarticus Learning

What is the difference between a MEAN Stack Developer and a Full Stack Developer?

One of the most important jobs in a company’s digital team is that of a stack developer. They are the ones who take care of the various functions of the different applications that are present in a company’s portfolio. It is important that companies themselves understand the importance of having a strong front and back end in order to succeed in an ever-evolving world of digital marketing and applications.

Full stack and MEAN stack developers are two of the more popular jobs that are out there for those who are looking to develop websites and more. The backend of a company needs to be built on a strong base and a developer aware of the different capabilities is what companies are looking for.

However, if you’re stuck on hiring between a full stack and a MEAN stack developer, here’s some information to help you.

Full stack developers:

Full stack developers are those who are aware of both the frontend and backend of an application. It consists of application in all layers as well as levels. Full stack development also means contributing to the different parts while preparing software. This can involve anything from simple UX design right to the internal programming needed to take the software live and making it work. Any software can be broken down into areas – one where the user works and the backend where data is sorted, saved and formatted according to a template.

A full stack developer contributes to both the user end as well as the coding required in a website. From the simple design of the user screen to the algorithmic programming, a full stack developer is aware of the various requirements of a website. The developer doesn’t necessarily have to be an expert in different languages, but a fair working understanding of the software is necessary.

MEAN stack developers:

MEAN stack developers vary from full stack developers wherein they have to know four languages that are based in Javascript. These include MongoDB, which is a NoSQL database system that saves all data in the binary JSON format, making it easier to pass client between the server and the client. Express is a more lightweight framework that can be used to build applications using Node. There are a number of robust features that can be used for both single and multi-page applications.

AngularJS is another Javascript framework that is developed by Google and provides some cool features such as two-way binding. It is also a solution for awesome and rapid front-end development. Node.js is a server-side Javascript execution platform build on the V8 runtime powered by Google Chrome. It can be used to build both concurrent and scalable applications in a faster way.

Imarticus Learning helps you learn all about MEAN and full stack development through our courses. You will be able to undergo a mean and Full Stack Developer Course along with a full stack developer tutorial in case you’re interested and begin your journey into designing.

4 Trends That Will Rewire The Inner Workings Of The Fintech Industry

Posted on by Imarticus Learning

 

Fintech has become the umbrella term for technological infrastructure in the liquidation of fund assets in the capital markets, payment processing, modern digital payment lanes, and such applications of hardware and software. The last two decades especially have seen many fintech entrepreneurs innovate and fill the gap for effective, fast and cheap solutions in wealth and financial transaction processing.

Agile entrepreneurs now find they can create space for greater innovation based on blockchains which itself is one of the biggest trends in the financial and technological developments of the last decade discovered through the emergence of cryptocurrencies. Here are the top four trends that can create space for greater innovation directed at rewiring the Fintech industry’s innards. No particular order of importance is present in evaluating these trends which are all equal and depend on how each one is exploited for maximum gains.

1. Quantum computing

The binary code based of modern computers interprets as zeros and ones where the binary digit is reflective of a deactivated or activated binary state. Quantum computers use this as a basis which takes advantage of quantum-phenomena such as superposition and quantum entanglement to turn performance levels into super- or quantum computing thus transforming costs, performance and lower energy utilization costs.

Modern times and developments are using quantum computing to help with risk and performance modeling, processing and settlement of transactions, better security and faster data processing. IBM’s quantum computing tools are being used by Barclays and JP Morgan according to Cabling.

2. Artificial intelligence.

Robotics and AI are doing repeatable tasks better than the humans with technological advancements resulting in faster processing, better user experience and lower overall costs. AI and advanced quantum computing technologies have the potential to minimize the costs of advisors and vendors in the financial industry. Technology will develop and continue to optimize information access while reducing costs and providing better returns and more effective programs.

Pacific Wealth Solutions uses AI and quantitative computing to monitor and analyze investments in wealth management, insurance, etc with excellent ROIs and solid returns. AI also offers a very practical Regtech tool to manage risks in the portfolio while taking care of regulatory compliance. AI has tremendous scope for improvement in the fintech industry where recent developments like blockchains are being used in tandem for faster, more transparent, decentralized financial transactions at little or no fees.

3. Cryptocurrency, blockchains and decentralized financing.

DeFi-Decentralized financing was ushered in by the blockchains and cryptocurrency entry. The open protocols worked well for MakerDAO on an Ethereum platform, when selling the Dai decentralized loans and the Nexus Mutual insurance product as an alternative to slow traditional banking and dealing with financial institutions.

Consensys, Chargezoom, TomoChain, and Stably are exceptional performers who have been successful in using applications that are decentralized, zero-fee, blockchain-enabled and transparent alternatives to traditional finance technology. Stablecoins akin to cryptocurrency are not volatile and are smart answers to everything between the margin loans and smart custody. Even Facebook intends to introduce its own stablecoin that can be used for trading for goods on e-commerce platforms and brick-mortar establishments too.

4. Payments platforms:

Fintech trends prove that the platforms of payments processing are the buzzing trend of their foray into the financial sector. We have smartphone users preferring one-click payments on Google Pay, Apple Pay, and Samsung Pay. States The New York Times, Facebook is planning to come out with a coin. Integrate this with the e-commerce stores like Alibaba, Flipkart, and such and the Shop in Instagram feature and there can be no doubt that such platforms are here to stay. The banks are not taking things lying down and are looking to upgrade at the earliest to derail the foray of private players in the banking sector which has held control over this field for long.

Conclusion:

Whether you are an entrepreneur or a career seeker, Fintech is the answer to being technologically abreast of developments in an evolving and financially satisfactory career. If you want to exploit the advantages of open finance, quantum computing, AI tools, then the fintech industry is at disrupting. Do a Fintech Course and blockchain technology at the Imartcus Learning Institute to emerge career ready. Start your dream career today!

Keeping High-Level Requirements High-Level

Posted on by Imarticus Learning

 

Stakeholders dislike repeated questions about their needs. They do not separate the details from the HLRs. But all is not lost. They do like being in on the sessions of project planning especially when they have a stakeholder role in it. Eliciting and organizing these HLRs to form a list of topics like the data exports, imports, UIs, automated functions, etc form the basis for further stakeholder discussions.

The following need is a good example: 

Ex: Each Customer record must be assigned a unique identifier.

While this is valid need it is not an HLR and should be noted but does not form an essential requirement of the project statement.

Let us explore how to keep those HLRs at a high level.

1. User story Vs the ‘Shall’ statement:

The ‘Shall’ statement is a formal single-sentence HLR. Agile uses a user story. The difference between the two is in the way the Agile or waterfall ecosystem manages them. HLRs are expected to be from the elicited SME stakeholder’s conversations and should be signed off by the stakeholders and used throughout the project’s life.

Agile uses user stories and a story backlog from the product owner. New stories can be written and a story has relative value on the story backlog with the highest-valued on top. Stories are to be refined by the PO’s contributions.

2. BI system capabilities:

The BI system supports

  • UIs 
  • Data Exporting/Importing 
  • Automated Functions
  • Reporting

An effective proper HLR should include the stakeholder need in the above areas and each represents a topic. The topic conversations discuss the detailed requirements of each phase and should involve SMEs who can support the process.

3. Reports with HLRs:

Reports are akin to a snapshot of the current data in the BI system. The HLR should contain the name of the project, the purpose of discussion, its audience, etc.

Details like the ones below should be left-out of HLR discussions and form a part of detail requirements:

  • Data sorting, grouping and selection criteria.
  • Triggering/scheduling reports.
  • Pagination and layouts.
  • Details of delivery.

This conversation with the SMEs is sufficient to make a report with HLRs on data.

4. Exporting and importing:

Data is in ‘machine-readable’ format and HLR discussions should establish answers to queries on

  1. Name of the process.
  2. Its data objectives.
  3. Whether the data expects real-time or background process responses to requests.
  4. The data needs of the person/system.
  5. The type of data involved as a primary entity.

This conversation with the SMEs is sufficient to make a report with HLRs on the exporting or importing of data.

These should be left out.

  • Criteria for data selection.
  • Sorting, summarization, file format, record layouts, and naming conventions.
  • Responses and real-time request parameters.
  • Value transformation, import data field-level validation, and error reporting.
  • Background job scheduling/triggering.
  • UI for exporting/importing.

5. User interfaces:

The HLRs should address these important UI topics.

  1. Activity or business process.
  2. User types.
  3. Primary entities in data.
  4. Any specific or selected instance.

User types are recognized as organizational roles. The answers to the above topic are to be used for the HLR statement. What is not to be included are

  • Data-fields for a list of one/all records.
  • Field layouts on a screen.
  • Invoked actions.
  • Navigation Options from record to other screens.

5. Automated HLRs: 

A BI system can be automated ‘programmed’ when deriving data is required of it. The following conditions should be met.

  • The data is available in the BI system.
  • The logic and rules of manually programming the function are described aptly by the SME/ Manager
  • The ‘translated’ description can be a computerized function.

The HLR statement should necessarily name the function as with a manual process, indicating the schedule for its performance and its triggers. Leave out from the discussions

  • The logic of the function
  • The record fields updated or added.
  • Triggering parameters details.

Conclusion:

Agile practices differentiate between details and requirements. It is vital that time is not spent unnecessarily in recording details instead of requirements. The four areas where one must keep certain factors in mind while recording HLRs are discussed to ensure that a high level is maintained in recording the HLRs.This is vital to Agile objectives and methodology.

If you are interested in learning more about Agile courses and HLRs, do a course at Imarticus Learning to bolster your practical Agile experiences and improve team productivity.

How Do I Get Agile Certification

Posted on by Imarticus Learning

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!

Mean Stack Course For Beginners

Posted on by Imarticus Learning

Mean Stack Course For Beginners

Javascript is reemerging as the most popular stack for instructional language in bootcamps and training platforms for coding skills. This has created great demand in startups scouring for Mean Stack developers. Ever wondered why?
Mean stack course: MEAN is an acronym for the full stack developers looking to optimize stack capabilities by learning Javascript based Express, Mongo, Node and Angular suites.

Here are some awesome reasons to do a Mean stack course and acquire mean-stack capabilities.
• Almost all web apps currently jump into coding in Python, Javascript, PHP, and Skipping Ruby.
• Mean stack developers specialize in popular startup mean-stack specific Javascript technologies like Express.js, MongoDB, Node.js, and Angular.js. This makes them extremely employable and sought after. Just look at the Node.js popularity trends from indeed.com!
• Quick adaptations to the ever-evolving technologies and the ecosystem of organizational requirements in an organization need a full stack developer to have multi-tasking capabilities, domain knowledge, and practical skills.
• All mean components are free and open source.
• The use of Backbone.js and such java-frameworks helps integrate other JS frameworks already used by your business or employer.
• The ever-popular Angular.js in the A-capabilities of a mean-stack is used by biggies like Google, YouTube etc who are tweaking and spending on improvements to the applications using the Angular.js suite. Expect the demand for mean-stack professionals to grow exponentially with such changes.
• The MEAN stack components of Mongo, Angular, Node and Express use Javascript apps which are popular and very widely used.
• The community of Javascript developers is huge and provides support and solutions of problems to users of all Java-based apps.
• Data transfer uses the JSON format which is also javascript based and does not need any learning of different programming languages.
• Nearly all of the recent and popular applications like the UPI, Linkedin, PayPal, Ola, Uber and many others use the mean-stack application needing both mean programmers and developers on an ongoing basis.

A Mean stack course helps the mean stack developer use Javascript as its language to acquire mean stack capabilities across the four platforms of
• MongoDB: This document-oriented schema-less application uses the NoSQL database and the developer does not need
• Express.js: This works on the server-side and runs atop of Node.js another JavaScript framework.
• Angular: This MVC JavaScript UI framework is independent of the browser.
• Node.js: This server-side JavaScript engine runs on Google’s V8 JavaScript run-time engine.
Learning the mean-stack will take you to a step closer to being a JavaScript full-stack web developer with capabilities for complete solutions front to back ends without learning any more programming languages. Learning online and in the classroom mode can be totally different experiences.
Here is the top recommendation for learning the stack mean components online and without hurdles. – The MEAN Stack Guide-Angular and NodeJS.

Mean Stack Course Contents

If you have mean-stack programming skills the employability race is greatly realized by developing the stack capabilities and doing a mean-stack course at the reputed Imarticus Learning Institute. The course pre-requisites are basic knowledge of CSS, JavaScript and HTML. A fair knowledge of the uses of Angular is a plus.
The contents of a Mean stack course would normally cover
• What a mean-stack consists of.
• How they interconnect to older stack components.
• Machine setting up with the stack.
• Both front and back end capabilities of the stack for scaling the technological needs.
• Node.js and databases like Mongo, Backbone etc.
• Hands-on application development using the mean-stack.
• Connecting back-end apps to Angular.
The job-scope graphs for mean-stack developers show phenomenal growth and great payouts and benefits. These skills are best developed by ample assignments, industry-relevant project work, mentorship, community learning and support as offered in the mean-stack courses at Imarticus Learning.

Concluding notes:
It is important to have a reputed training program for the Mean stack course that helps certify you since certification endorses your skills and allows employers to measure your practical skills of implementation. At Imarticus Learning the emphasis is on producing well-rounded and practically skillful aspirant mean-stack developers. The stack skills are well covered and startups use the assured placements program to absorb new talent. Besides, their personality-development, well-accepted certification, interview, and soft-skills training also help you score in the mean-stack ecosystem.
Join today!

What Skills You Need to Become Mean Stack Developer

Posted on by Imarticus Learning

What Skills You Need to Become Mean Stack Developer

Technological advancements and data analytics have literally taken over our world. Developers hence are seeing much demand. Rather than hire three or four developers to handle the respective ends of the infrastructure, companies today are moving to lean teams and hence prefer mean or full-stack developers. This helps them cut costs and optimize their process without any delays and confusion. Another advantage is that the mean stack runs on Javascript as the base language.
MEAN is an acronym for the full stack developers looking to optimize stack capabilities by learning Express, Mongo, Node and Angular. The courses for a mean stack developer looking to acquire mean-stack capabilities should focus on the stack use as JS applications because
• Almost all recent and popular applications like the PayPal, UPI, Linkedin, Ola, Uber and many others use the mean-stack application needing both programmers and developers on an ongoing basis.
• The ever-popular Angular.js in the A-capabilities of a mean-stack is used by biggies like Google, YouTube etc who are tweaking and spending on improvements to the applications using the Angular.js suite. Expect the demand for mean-stack professionals to grow exponentially with such changes.
• The MEAN stack components of Mongo, Angular, Node and Express use Javascript apps which are popular and widely used.
• The use of Backbone.js and such java-frameworks helps integrate other JS frameworks already used by your business or employer.
Normally, a mean stack developer skilled in the MEAN-stack coding handles front, back, server and data management storage tasks using a technology suite stack that comprises of tasks and apps or tech programs for each specific task. A mean-stack developer is hence good at interconnecting and jumping between apps, ends and components of a stack while providing a complete holistic coding solution for any particular application.
The MEAN programmer also codes the various layers with the mean-stack components across the
• Front end Presentation layer which faces the end-user and needs user authentication and validation with specific technologies and language skills.
• Backend Logic layer which has the logical layer of processes and logical data applications with no production of user-interfaces.
• Sub or Mid-layers of data where the storage and database layer of processes exist and data is created, assimilated, read, cleaned, deleted, or updated through programming languages.
• Server configuration layer using MEAN stack configurations.

Technological Skills Required in Your MEAN- stack

Understanding the mean stack developer list of skills is beneficial for one who is using a specialized mean but full-stack capability compressed onto the MEAN stack. The mean stack requires
• Languages for programming both ends like front-end C, OOPs, Python, R etc and backend languages like SQL, PHP, Node.js and such
• Javascript, CSS and HTML
• Databases and data structures.
• Hosting and deployment protocols
• The various control versions
• Services of third-parties and APIs.

Mean-stack Course Content

Doing a mean stack developer course at the reputed Imarticus Learning Institute is the first step to gaining mean-stack programming skills and getting a leg-up in the employability race. The curriculum of the course for mean-stack development would generally cover
• Knowledge of mean-stack components.
• Experience in the interconnection of existing and older stack components at both ends.
• Installing and setting up the stack on servers.
• Handling scaling needs of both technology and stack.
• Databases and suites like the Node.js, Angular, Express and Mongo, Backbone etc which all run on Javascript.
• Hands-on application development experience using the mean-stack.
• Backend applications with Javascript and Angular JS.

MEAN stack scope and payouts:

The reports on indeed.com for mean-stack developers show immense job-scope growth with excellent benefits and fat payouts. Technological skills are best learnt through industry-relevant project work, ample assignments, mentorship, support and community learning as offered at Imarticus. Remember, doing a course is the most practical step to start your career as a mean stack developer.

Concluding notes:

MEAN-stack development appears to be a hard task to attain in the beginning. But, as you practice it becomes easier and attainable. The Mean-stack is very popular in recent times and there are plenty of opportunities which pay well and also have an excellent progressive scope.
At Imarticus mean developer course the stack proficiency, well-accepted certification, personality development, resume building, mock-interview sessions and soft-skills training modules ensure you hit the ground running. Start your mean stack developer career today!

Three Modes of Business Analysis Consulting

Posted on by Imarticus Learning

 

A consultant for BA normally is a collaborator, expert, or an additional pair-of-hands when facing clients. The book by Process Impact’s Principal Consultant Karl Wiegers is about these three modes of interactions. Let us explore these to learn more.

1. The independent model:

The Expert:

The expert works with clients who have pain-areas and approach you to fix them through training personnel, process validation/assessment, or alter and review some process/ project documentation or deliverables. The expert can only help with the tools like the assessment of ineffective processes and practices, possible solutions to the root causes, the current position report or a roadmap to effectively reducing the causes of pain. Managers, practitioners, employees and the management need to work on culture changes and sustained improvement techniques to ease their own pain.

The collaborator of ideas:

The consultant is an expert collaborator of ideas supplying solutions and ideas that make processes and performance in them more efficient and productive. According to Karl Weiger’s personal experience out of ten generated ideas, two are bound to be ridiculous, another two not suitable to the culture and process, three could be obvious and tried already and only two or one novel, innovative and brilliant in the fit. Being client and technology appropriate is vital.

The Agile Coach:

The BA may also coach and become the expert consultant using his advice to study the current practices and help discover better ways of doing the tasks. On a bigger scale, they could be of use to maintain, monitor practice standards, and establish them from a

Centre of Excellence for business analysis. The BAs role could involve preparing training materials, developing methodologies, creating process and guidance documents, templates for project deliverables, and such.

Difficulties faced:

The NAH and NIH issues are general syndromes that creating resistance in organizations. By NIH-not invented here most expert-offered solutions get rejected because the people using it do not trust it. By NAH-not applicable here complaints clients disapprove solutions citing they wouldn’t work in their environment since they were different. The BA expert consultant and coach cannot implement their solutions and rarely get any feedback regarding the outcomes. This means change management is crucial to organizations who hire such experts to provide solutions which cannot work in isolation.

2. A many-handed mode:

Often the extra pair-of-hands mode has many benefits where the domain of the consultant is exploited since the company may lack time and staff resources though they can perform the task themselves. The client is allowed to independently assess deliverables with the consultant working on his own.

Ex: Hiring experienced BAs on a fixed-term contract basis for specific developments in a software project.

The consultant here performs the regular BA tasks like eliciting requirements, identifying users, writing specifications, and so on until the on-site project work is completed. Often deliverables are iterated and worked till the final product is acceptable. At times you may do the novel and innovative task. In such cases, a vision statement is absolutely mandated covering the following assessment parameters since the outcomes are fuzzy.

For whom? (targeted client)

For Who? (statement of opportunity and specific needs)

Is a? (Deliverable type)

That? (Key takeaways)

Unlike? (current process)

This deliverable? (The new deliverable differentiators) 

3. The side-by-side collaborator:

Collaboration is the key parameter in this mode where the consultant needs to work for side-by-side the client organization’s staff in creating deliverables, identifying solutions, making decisions and setting priorities. It could be an extended off-site engagement that is collaborative or in the independent pair-of-hands-mode of operation. It includes reviews of the governance process architecturally, making environment peer reviews, working on reviews and product objectives, developing e-learning presentations, drawing up review processes and training of staff, recording e-learning training courseware scripts and such.

Concluding notes:

It is always best to use the three consulting modes depending on the engagement type and the specific project needs. There will be times when as an expert you may not agree with the mode selected and that’s where one will have to keep the client’s best interests in mind no matter your role. Often you will function as all three-The consultant, the expert and the collaborator of ideas.

Want to learn more about Agile courses? Do a course at the Imarticus Learning Academy where careers are born and honed.