Contact Us
×

Author: Imarticus Learning

Interview Questions You Need to Nail to Work in Wealth Management!

Posted on by Imarticus Learning

Take any wealth management interview training and you will see a mix of questions. Some questions will be about the subject or an associated theme while others will focus on ethics. Some others will be about your interpersonal and soft skills, which are equally important for you to both land and pass a job interview.

But detecting the most important questions and answering them in a way that floors the interviewer is what will set you apart. Here are six such questions and how to answer them like a pro.

6 Critical Wealth Management Interview Questions

This is a mix of two topical questions, two about finance in general, and two about ethics. Let’s go.

What is the most important factor when recommending an investment instrument to a client?

You are supposed to be a bit diplomatic here because the answer is in the plural. Both the earning potential/in-hand capital and the end goal/s are important. Only when you know what the investment figure is going to be and for what purpose can you recommend an instrument that will be ideal for that scenario for that person. A third factor would be the investor’s age.

Or you can choose to answer this using an example. In that case, you can give a single answer and impress the interviewer. For instance, assume the age and the figure and leave the third factor to the imagination, which becomes the most important one in that example.

How can an Indian citizen explore offshore investments?

This is a tough nut to crack and will require you to have some knowledge about international investing. Use available info to provide a safe answer. If you can, detail a process out and provide examples.

Wealth ManagementRemember that interviewers love examples. So, keep feeding them with appropriate real-life examples. To learn about new topics such as international investing, explore wealth management courses online.

Do you consider insurance an investment?

This again demands a diplomatic answer. Here you can divide your answer into two:

  1. On its own, insurance can never be termed an investment as it is used as a cushion in case of an unfortunate incident. Moreover, the returns on insurance policies are low and not appropriate when one is considering the management of huge wealth
  2. Depending upon the age of the investor, and if he does not already have insurance, insurance may be considered an investment

Interviewers are looking at your thought process as well as subject knowledge. So, make sure you define the concepts well before providing your opinions on them.

What according to you is an underrated investment path?

This is another tricky question where the interview is testing your knowledge about different instruments. Use your judgment and pick an obscure instrument that provides high ROI and also saves in taxes. Don’t forget to answer diplomatically and use examples.

Wealth ManagementIt is questions like this that makes taking a wealth management interview training worthwhile. You can learn more about the topic as well as know about different investment tools.

Would you suggest tax evasion to a client if it means creating wealth?

This is to test your stand on ethics. The answer is no, but you should garnish it with examples of how you would communicate with the client and provide better solutions.

Would you use one client’s investment information to help another client?

Again, the answer is no, but you should furnish as to why you wouldn’t do it. Providing your opinion may win you some brownie points but beware or it can also backfire.

These are some of the most challenging questions that you may be asked at your next wealth management job. Enrolling into a wealth management course won’t harm.

How Freshers Can Get Real-World Job Experience In Data Science

Posted on by Imarticus Learning

Introduction

For most freshers, landing a Data Science job seems like a chicken-or-egg situation. You need to have hands-on work experience to get selected for such a job, but how do you get any work experience without first being hired?

By now, you must have heard, read or seen a lot about the scope for immense growth that a Data Science career can offer. However, for many aspiring Data Scientists, the reality appears to be hard-hitting.

The career potential of a Data Scientist is undoubtedly very rewarding once an individual gets the job, but getting the job without prior work experience is the main obstacle they face.  Below, we examine some practical solutions to this dilemma:

 Work on personal Data Science projects

Data ScienceThis is an interesting and highly practical way to gain real-life Data Science experience. Once you finish a project, you can showcase your work on a platform like GitHub. Focus on small projects, and try to demonstrate important Data Science skills in your efforts.

The advantages of working on your own project are that you gain hands-on experience in generating ideas, collecting data, cleaning data, analysing data and building predictive models.

Therefore, you gain a comprehensive understanding of the entire process. As far as possible, try to script clean codes and develop clear visualizations that potential stakeholders can find easier to follow.

Do not attempt to display too many skills at once, as you might end up unnecessarily complicating matters for your audience. Simple and small projects will illuminate the core skills you wish to draw attention to. For example, consider obtaining a complicated datasheet and cleaning it up. This simple project will demonstrate your prowess in:

  • Scoping a data project and formulating a suitable plan
  • Gathering data using different collection methods
  • Contemplating different data cleaning methods and choosing the most suitable one
  • Handling different data formats such as XML, CSV and JSON

 Contribute to open-source projects

The best way to enhance your coding skills and get hands-on Data Science experience is to join an open-source community. Providing solutions to projects that are already in progress will help you deal with real-world problems, while giving you a taste of what working in a Data Science team would be like.

As a member of an open-source community, you need to constantly communicate with the other stakeholders when making your contributions. Open-source projects are an excellent way to access Data Science libraries, such as NumPy, Pandas, Scikit-learn, and more. Above all else, being a part of these communities will help you build a professional network with relevant people in the Data industry, and also significantly add to your existing knowledge.

 Make tutorial / educational content

If you have confidence in your Data Science skills and knowledge, you can try authoring a Data Science blog feed, or creating tutorial videos that explain the core concepts of Data Science. These are excellent ways to highlight your abilities to prospective employers.

 In-person meetups

After you complete a Data Science course, in-person meetups can present great opportunities for face-to-face interactions with industry leaders and representatives. Meetups are essentially corporate events being held in your city, such as business conferences, presentations, seminars, expos or coding competitions.

Data ScienceThese events are excellent venues for networking with like-minded professionals who work for a range of different organizations. A simple Google search with keywords like Data Science meetups, along with the name of your city, will generate information about ongoing or upcoming events near you.

 Volunteer for a good cause

Many non-profit organizations need Data Science professionals to volunteer for them. This is a good way to give back to society, while at the same time, you could get to work alongside experienced Data Scientists who can guide you and offer valuable career advice.

The tasks you perform can be showcased in your resume, and will be considered as valid work experience. Poverty, Environmental Protection, Equal Education, Public Health and Human Rights are some of the non-profit areas that you can contribute to.

 Conclusion

The career scope for a Data Scientist is tremendous, but it often proves difficult to get a Data Science job without a certain amount of relevant work experience. The key is to show recruiters that you possess the requisite expertise and skills to do justice to the job if you are given the opportunity, and the steps listed above will go a long way towards accomplishing that.

How Do I Start Learning Deep Learning?

Posted on by Imarticus Learning

Inspired by the human brain, the artificial neural networks in deep learning helps to solve complex problems using a diverse range of unstructured data set. Deep learning is a subset of machine learning that uses complex algorithms to learn with time by leveraging massive data sets. Deep Learning is used frequently by a lot of industries to automate processes and is among the most in-demand new-age technologies in the contemporary. Some of the most reputed organizations like Google, IBM, Apple, Microsoft, Intel, etc. use deep learning to make their services better. Let us see how to get started with deep learning.

Familiarise Yourself with the Prerequisites

One should make sure he/she knows the prerequisites needed for understanding the deep learning technology. This will help in understanding the neural networks better. You should know about mathematical topics like statistics, calculus, probability, numerical optimisation, etc. to operate on neural networks.

You should also be familiar with the low-level & high-level programming that has libraries for machine learning. Programming is a must-have skill for developing algorithms in deep learning. Languages like Python, Java, C, C++, etc. are used a lot in developing machine learning models.

Learn from Online Sources

You can learn from Deep Learning Courses offered via prominent providers. One can also read articles, blogs, available on deep learning by experts on the internet. One can also understand the deep learning concepts via YouTube videos. The online courses will be of great help as you can get to know about deep learning fundamentals without even going to an institution.
You can pace-up your studies for learning the fundamentals of machine learning & artificial intelligence and then you can take your time as you go deeper into the subject matter of deep neural networks. One can also read various journals on deep learning to understand the new methods & tools in this field and keep themselves updated with the latest in this domain.

Understanding Deep Learning Fundamentals

Once you have acquired the prerequisites for deep learning, dive into the fundamentals of deep learning like Recurrent Neural Networks (RNNs) which can lp to remember all the previous inputs and is used for time series prediction & other chores.

You will also have to know about Natural Language Processing (NLP) where the human language is made more intelligent for machines to perform dedicated tasks. You can also search for courses on the internet that have topics like reinforcement learning, deep learning frameworks, etc. in its course overview. Make sure that you know how to build artificial neural networks from scratch. You will be in heavy demand by the firms if you are skilled in deep learning because of the need of automating processes.

Practical Deep Learning

You can try your hands on the most popular Deep Learning software(s) which are used by firms/industries like Neural Designer, H2O.ai, Microsoft Cognitive Toolkit, Apache SINGA, Caffe, etc. You can work on example data set and can try to design your neural network. Practical learning will make you grasp things better and you will also specialise yourself in building neural networks.

A lot of online courses provide you with industry-oriented learning of deep learning with practical activities. You should be familiar with the tools and applications used in the deep learning industry. You can read case studies on different deep learning problems and can try to find solutions to real-world problems. You can work on various projects available on the internet on deep learning which will hone your skills.

Conclusion
Starting from knowing the prerequisites to building your neural network, you can get started in deep learning easily. If you are good at programming and mathematical skills, then it will take even less time to be skilled in deep learning. A systematic approach towards learning deep learning is offered by many Deep Learning Courses available on the internet. Start learning now!

Top Indian Startups in the Field of Blockchain Technology

Posted on by Imarticus Learning

The blockchain technology has been a real game-changer for businesses that rely on the use of sophisticated technology to operate. It is commonly known as the distributed ledger technology and became mainstream to the world after Bitcoin was introduced into the market. This marvelous technology that was at the core of Bitcoin eventually went on to find many other applications. Given the demand for the blockchain technology, it is also growing popular as a career option for technology professionals.

One can easily opt for a blockchain technology course online and obtain relevant knowledge and skills required to work in this domain. Let’s delve deeper into what this technology holds and also find about the start-ups that are leveraging this revolutionary technology into the Indian market.

Understanding the Blockchain Technology

At the very core of blockchain technology lays the principle of decentralization and transparency. It can be understood as a system of recording important financial data and transactions that have a decent economic value. The interesting thing about this record-keeping distributed ledger technology is that it makes it almost impossible to cheat the system and alter the information without giving up the identity. All the transactions are recorded using an immutable cryptographic signature termed as ‘Hash’.

The blockchain structure comprises of blocks that contain information about the transactions which are encrypted and time-stamped and these blocks are connected in a chain in such a way that tracing the transactions is far easier. Any edits in the blocks make it apparent for all the participants in that blockchain. The highly decentralized nature of this technology removes the need for any central middlemen and provides equal authority to all the participants. This makes it perfectly suitable for running digital currencies like Bitcoin.

Indian Startups in the Blockchain Arena

Now that we have understood what Blockchain technology entails let’s look at some of the most promising Indian startups in this sector.

  1. Matic Network: Matic Network originated from the tech-hub of India, Bangalore. It was co-founded by Jayant Kanani, Anurag Arjun and Sandeep Nailwal. The team of Matic network raised a sum of $5,600,000 through the public token sale in the year 2019. Matic Network intends to scale the Ethereum blockchain solution using an adapted model of Plasma protocol. It also aims to counter two major issues related to Etereum blockchain, the slow block confirmations and high transaction charges.
  2. Nuo: Nuo offers a new and easy platform to lend and borrow cryptocurrency. It was co-founded by Varun Deshpande, Siddarth Verma and Ratnesh Ray in the year 2018. Some of the exclusive features include smart contract, personalised loans, Meta Tx, instant trading. It has also started a new digital banking platform with the name Juno that leverages Ehtereum and uses the Nuo protocol to provide the neo banking services. It has also expanded its operations to Singapore in addition to its Mumbai office.
  3. CoinDCX: CoinDCX is based out of Mumbai and was started in the year 2018 by co-founders Sumit Gupta and Neeraj Khandelwal. CoinDCX intends to provide a single platform for a diverse range of crypto-based financial products and services. The proprietary aggregation model by CoinDCX provides the highest liquidity from the most prominent global crypto exchanges. It also has a credit facility called ‘Lend’ to help the users earn interest income on their cryptocurrencies.
  4. KoineArth: KoineArth was founded in the year 2017 by Dr Praphul Chandra, a professor at Insofe institute. It’s primarily involved in AI, blockchain and mechanism design. It helps its users to analyse blockchain-enabled interactions using a data pipeline and machine learning algorithms. marketsN by KoineArth is a cloud-based blockchain and AI product that also offers a collaboration platform. It helps businesses to obtain real-time data easily.

Conclusion

These were some of the leading Indian startups in the blockchain arena that is revolutionising the future of Indian blockchain industry. Opting for a blockchain course from reputed institutions like Imarticus Learning will help to boost your job prospects easily.

Also Read: India Becomes Worlds Second Largest Fintech Hub

What is Data Analyst Certification?

Posted on by Imarticus Learning

A data analyst certification is a short-term course that makes you eligible for the entry-level job as a data analyst. The responsibility of an analyst is to find the relevant data for a business to process, analyze, and design it to the best effect for better business prospects.

Finding out the latest trends in any business helps with its growth and attracting more customers or clients. It is the data analyst who processes such data to find the best solution for the ideal growth of the business.

The course

A data analyst certification course includes the understanding of the analyzing tools, certain programming languages to use the data properly, and statistical awareness to compile the data and results to come up with a workable plan.

Most of the certification courses offer real time business experience in collaboration with a specific business or company. It helps the student to have actual experience in the field and what to expect from the job.

Some courses also help with the placement or provide interview opportunities.

Eligibility for the certification

Although knowledge in computer science would be an added advantage, most of the data scientist courses are open for graduates in any field. The most common eligibility criteria include a degree in Mathematics, Computer Science, Statistics, Economics, etc.

Having prior knowledge in programming languages, SQL database, data warehouses, Advanced MS Excel, etc would be an added advantage. Knowledge in these areas would help develop the necessary skills for an analyst to polish and develop the expertise.

The role of an analyst

An analyst is someone who handles the analysis part. Nowadays, almost all businesses utilize the huge bank of data provided by their customers to their best opportunities. In addition to this, there are also various sales and statistical data which could also be an ideal opportunity to grow the business.

Imagine the data to be a thousand-piece puzzle board mixed with other irrelevant puzzle pieces.
An analyst must be able to spot the relevant pieces, categorize them, and analyze it to find the right position to fit into, to make up the whole board complete.

In a similar manner, the analyst needs to find the relevant data, process it properly using the analytics tools, and design it into a workable format using the various programming tools and statistics.

What is expected?

Data analysis in a constantly growing and demanding profession. A data analyst is expected to have certain skills to make the job more efficient. These skills are not confined to academic levels.

A creative mind to interpret the data and a good analytical mind are highly relevant for the analysis. An analyst must have an analytical mind and be creative to use the facts, figures, and specifications to design the plan and execute it well.

As an analyst, you will be expected to predict the change in the business market and find out what the clients need or expectations from the business.

An analyst will need to go understand the goal of the business, go through the data to select the most relevant information. Then, this information is utilized to devise a plan to promote the business and attract more clients.

Enrolling into a quality data analyst certification course is only the first step into the bigger reality called the data analytical world. As mentioned, finding out the latest trend is the key to better prospects and more often this key might be well hidden behind the vast database. An efficient analyst should be able to spot such openings to make way for the inevitable.

Also Read: Will Doing Big Data Analytics Courses Help To Make Mid Career Jump

What is Change Management Tools and Techniques?

Posted on by Imarticus Learning

Change is the only constant, not only in life but also in business. Just the way we adapt to situations in our personal lives, we also need to adapt to changes at work. Thus, a change management course helps a business apply a strategic approach and deal with things that alter. It includes using tools, skills, and resources to drive success.
The best example of change is the coronavirus outbreak in 2020. It forced most businesses to cope up with the current market scenario. The companies that have managed to survive and are still struggling had to adapt to ‘the normal.’ However, many have had to shut down not only because of failing to adapt to changes but also for losing relevancy during trying times.

Change Management Tools and Techniques

To incorporate the change management course, you need tools for your business. Here are the primary techniques that most companies need:

  • Flowcharting: Flowcharting a basic formula to bring people on board to understand where the company stands and how it is likely to proceed. The best way to go about this is by asking all the managers to give individual options and see how they perceive. It will bring forward conflicting views that can be debatable and concluded upon.
    Once you implement a change, you can add it to the flowchart so that every member can keep up with it. The strategy not only helps create the perfect flowchart but also allows everyone to contribute and feel important.
  • Data collection: Collecting data on facts on how well the company has evolved and where it currently stands is crucial. The process records risks, competition, opportunities, and helps change management in a constructive way. It also reduces decision-making time and avoids unnecessary debates without facts.
    Correct data helps create a metric design, which is easy to understand. The process also includes cycle time, range, and total flow of units through the timespan. The results help identify errors and units that need rework.
  • Force Field Analysis: Psychologist Kurt Lewin developed Force Field Analysis. His theory explains that success is attainable when driving forces are strengthened and resisting forced are weakened.
    Inhibitors of change are usually resistance from the members of a business. However, if members can accept change and focus on its benefits, there are more chances of success. The hierarchy needs to help their subordinates to deal with changes and reduce resistance.
  • Culture mapping: Every business has its own set of concepts, values, practices, and norms. Some typical ones include respect for authority in terms of decision-making and reward system based on performance.
    People responsible for change management in a business must be well-versed with the organizational culture; only then can they apply appropriate improvement practices.
    One of the most difficult things to change is the attitude of continuing things how it has always been. Thus, the first thing to target is existing paradigms and then move to a newer change management course.
  • Plan: Having a project plan is the most obvious, but that is also what keeps us on track. A proper plan that everyone follows works like a framework. It helps people understand where there can be flexible and where there needs to be a boundary.

Most times, people working in several business departments need to adapt to changes simultaneously. Thus, it is crucial to utilize the management tactics and have a straightforward plan to propose new alterations.
A sound business plan helps people know their roles and how to manage their deadlines. You need to keep your company agile through the challenges and cope up with changes positively.

Also Read: What are the types of change management

What is a Career in Risk Management?

Posted on by Imarticus Learning

‘Prevention is better than cure’ – Desiderius Erasmus, Dutch philosopher.
In the world of finance, risk management is the process of identifying risk factors, analysing them and solving them in advance to ensure minimum threat to an organisation’s capital and earnings. The risks could be errors within the management, natural calamities, legal liabilities or financial uncertainty. Decisions are made to curb or reduce these risks. cours
Financial services aren’t all about numbers, it’s also about giving the right advice to the clients and helping build trust with them while also solving their problems.
Risk management also includes business units such as securities trading desks or loan origination departments.
As a risk manager, your responsibilities include

  1. Identifying the risk indicator
  2. Estimate the possible effects
  3. Come up with measures in order to control or eliminate the risks
  4. Assess the role of the other individuals in the project regarding how they can contribute to risk management

Given the rise in demand for risk managers, various universities are offering risk management courses specifically aimed at educating individuals about risk management.
Some of the best risk management courses are-

  • ORM (Operational Risk Management)
  • CCRA (Certified Credit Research Analyst) provided by AIWMI, India
  • FRM (Financial Risk Manager) provided by GARP, USA
  • PRM (Professional Risk Manager) provided by PRMIA UK

Altogether, a risk manager’s function can be summed up as taking clinical measures to prevent losses and securing the company’s assets. Problem solving, analytical skills, good communication skills and the ability to work under pressure are some of the requirements of a risk manager. To be a successful risk manager, it is very important to have sharp analytical insights. A risk manager is an utter failure if he can’t interpret data presented to him to reach a logical conclusion. Additionally, experience in law, accounting, insurance can also add value to one’s CV and provide more prospects.

Having good judgment and decision-making skills are essential. One should be a good leader and ensure that the team heads in the right direction. Some of the most important tools and techniques in risk management are brainstorming, analyzing the root cause, SWOT analysis, and risk register. A risk manager plays a very crucial role in any organisation. They are an invaluable asset to the company and play an important role in maintaining the fiscal health of the organization. The icing on the cake is that there are very few organisations that plan projects without assessing the risks involved. Hence, a risk manager has the chance to choose his employer from various organisations in the market.
A risk manager has the opportunity to don many hats during their career:

  • Risk management analyst
  • Risk advisor
  • Risk management consultant
  • Risk control supervisor
  • Chief risk officer

Due to the recent pandemic, the importance of having a risk manager has increased by three folds. Organizations globally have created risk committees hence boosting job growth.
The risk committees are responsible for planning solutions for a crisis and dealing with the losses the organizations have gone through as a result of shutting down operations for a few months. The pandemic has brought the risk managers onto the center stage. For risk managers, the job market has ample openings now and they should make the most of it.

Risk management is a well-paying job if you’re qualified enough and have the right degrees. It is a key business discipline. It adds value to an organization’s execution. The U.S. Bureau of Labor Statistics predicts job growth in the risk management sector at about 19% through 2026.

Risk managers are an asset to the organization and it’s their responsibility to keep the ship afloat and ensure that the company has minimum damages.

 

What’s the Benefit of Studying Business Management?

Posted on by Imarticus Learning

The world is evolving every minute. With this evolution, more and more people are becoming educated and aware. This brings in a need of having an edge over other people. Business Management gives you that edge. With business management, you understand the dynamic world around you and then work according to this dynamic environment. There are several benefits of studying business management and the blog would talk about those benefits.

What is Business Management?

Business management refers to the art of conducting operations and managing errands for a particular business. These activities include delegation, monitoring, implementing, etc. Business Management requires the person to be versatile and pro-active.

Benefits of studying business management

  1. It is considered to be a long term investment: Investing in education is like the best kind of investment. An investment in business management will give you the best returns. The job you secure after doing business management will make sure that you pay off all your debts. Taking up a business management course is like the best way of upskilling yourself.
  2. Employers prefer individuals with a business management degree: In a pool of graduates, an individual who has a business management degree is most likely to be preferred for the job. A business degree will give you all the insights which are important to survive and outperform Employees will give a lot of weightage to people who have formal educational qualifications.
  3. You will gain transferrable skills: A business management course will make you ready for the corporate world. This field of education gives you transferrable skills. These skills can be used in all kinds of jobs like Government Jobs, Private jobs, etc.
  4. Will train you to become a more effective leader as well as a team player: With a business management degree, you are imparted with all kinds of qualities. The course aims at making you a strong and effective leader as well as a team player who contributes effectively to a team. Both of these skills are important as when you start your corporate journey, you are most likely to work in a team. Therefore, it is important to be a good team player. On the other hand, in the corporate world, a person with a business management degree climbs up the ladder quickly. Therefore, you must have the skills which are needed in a good leader.
  5. Competitive edge: By taking up a degree in business management, you are most likely to gain a competitive edge over other people. The course will make you stand out of the crowd. Employers think of people with a management degree to be superior to the rest. You will be getting preference everywhere. In case you feel to take a similar course, you will be forced to take a back seat concerning the job scenario as the employers might think that you are not ready for the market and you will not be able to take initiatives for the growth of the business
  6. Career Opportunities: An individual with a business management degree will be considered for a job in all kinds of gains. The individual can get into finance, marketing, operations, logistics, etc depending on his preference. A business management course gives you an overall understanding of all the domains so that you can take an informed decision on what to choose and what will keep you happy and engaged.

Conclusion

A business management course is like a boon for the individuals. It will open the doors of all the career opportunities possible. It will also give you standing in the professional scenario.

What is a Blockchain Course?

Posted on by Imarticus Learning

Blockchain technology is being used in many fields like finance, cryptocurrency transactions, online shopping payment, etc. Blockchain supports the digital transfer of information from a peer to another peer with users having access to read the information but not copy or amend it. A blockchain is made up of blocks and each block directs to the address of the previous block. This decentralized technology is providing fast results with increased security. A blockchain course will help you in understanding the concepts of blockchain and how to use it. A blockchain course via trusted sources like Imarticus Learning will make prepare you for all relevant roles available.

Skills Taught in a Blockchain Course

Some of the most prominent things that you can learn about blockchain & its applications via the blockchain course of Imarticus Learning are as follows:

  • You will be taught about the meaning of blockchain and its related concepts. The fundamentals & applications of blockchain technology will be discussed in a Blockchain Course.
  • Usage of blockchain in cryptocurrency transactions can be learned via a Blockchain Course. You can understand how prominent cryptocurrencies like Ethereum, Bitcoin, etc. use blockchain to provide secure services. You will grasp better with real-world blockchain scenarios.
  • You will get to know about the Hyperledger fabric in the blockchain which is a framework used to develop blockchain-based services, products, and applications.
  • The Fintech Pro-Degree & Blockchain Training offered via Imarticus Learning will also help you in understanding complex blockchain frameworks like Multi-chain blockchain.
  • You will learn about the security measures in blockchain and how asymmetric cryptography is used to make blockchain transactions secure. You will also get to know about the hash functions which are generated for each block in a blockchain network and hence increasing its security. The pair of public & private keys used for cryptography in blockchain can be understood via a course.

Why Choose Imarticus Learning Blockchain Course?

There is no restriction of any background study in the field of finance/blockchain to enrol you in Imarticus Learning courses. The Fintech Pro-Degree will consist of two batches. The first batch will focus on blockchain basic concepts and its applications while the second batch will focus on understanding cryptocurrency & financial processes using blockchain. Both the batches comprise of 60 hours of study in two months each. Imarticus learning courses are affordable and have successfully trained over 35,000 trainees. Industry experts will be there on Imarticus Learning courses to assist you and make you industry-ready.

Benefits of Blockchain

Let us explore some of the major benefits of blockchain which makes it indispensable for organizations and also a necessary skill to hone with the Blockchain course. It is a decentralized technology with no central controlling source. This increases the security as the information passes through million checkpoints and one has to falsify information at all checkpoints to alter it.

  1. The implementation of blockchain may be challenging in starting but it will save a lot of money & human resource in long run. Blockchain has helped many retail firms in cost optimization by doing financial transactions over the blockchain.
  2. You can learn blockchain technology via online courses and can increase transparency & traceability in your business.
  3. Blockchain technology once implied doesn’t require any portal charges to make transactions. This helps in creating payment portals that are secure and don’t levy any charges on its users.

Conclusion

Blockchain is quickly being adopted by many firms/companies across the globe. According to surveys by LinkedIn, blockchain is the second most required hard skill by the firms in their employees. Imarticus Learning blockchain course will make you industry ready and you will also get placement support. Imarticus Learning is collaborated with the top firms in the blockchain industry & will provide you with expert faculty members. Grab your Blockchain Course now!

Top 9 Soft Skills Every Employee Must Possess in the Age of AI

Posted on by Imarticus Learning

It is the year 2020. The technological world is brimming with new concepts and ideas. One such concept that has been undergoing a series of upgrades is, Artificial Intelligence.

For decades we have been trying to imbibe human-like emotions and features in machines. Off late we have seen some successful AIs in the market. Artificial Intelligence has been making waves in the world of technology and is making its presence felt in places like social media monitoring, proactive healthcare management, automated financial investing, smart assistants, virtual travel booking agent, robot manufacturing, disease mapping, and the list goes on. Be it your social media feed or your Google search, there is AI in the background. Artificial Intelligence courses are also being offered by the top universities since more and more people are taking a keen interest in learning AI.

While we are trying every possible way to make machines behave more human-like, there will be a time when machines will take over the industry replacing humans. Since machines will be doing most of the technical and automated work, humans must look forward to inculcating more humane qualities in order to be favorable employees in the future. With hard-skills being induced in robots , humans have to acquire soft skills in order to be able to communicate and build better relationships with people at workplaces or otherwise.

Here are the top 9 Soft Skills that Employees will be requiring in the age of Artificial Intelligence:

  1. Creativity: Creativity is intelligence having fun, Albert Einstein said. It is an important aspect of intelligence since it helps the employee come up with fresh ideas. Creativity is like a breath of fresh air. It doesn’t necessarily have to be poetic or artistic. Any novel idea can be attributed to creativity. No matter how advanced a robot can be , it definitely cannot pick up a skill like creativity.
  2. Analytical Thinking: In easy words, analytical thinking is the ability to observe a problem and provide a solution with logic and reasoning. Analytical thinking is essential in making decisions and problem solving. Observation is one of the most key aspects of Analytical thinking. Developing this skill will always keep you a step ahead and make you a potential employee at the workplace.
  3. Emotional Intelligence: As important is Intellectual ability, emotional intelligence (EQ) is crucial for a happy and successful life. Emotional intelligence helps you build stronger connections with people around you. It helps you in maintaining bonds at work and can help you accomplish your goals better. EQ also comes in handy while making sound decisions since it helps you distinguish between things that matter to you and things that don’t. Given a robot’s inability to build relationships with humans, EQ is an important skill that will help employees get better feedback at work.
  4. Interpersonal Communication Skills: Some people have innate communication skills and can start fruitful conversations with their peers. The ability to have an engaging yet informative communication skill is mostly inherent but that doesn’t mean that it isn’t possible to polish this skill in case you’re lacking in it. How you say something is as important as what you say. Demeanor, facial expressions and body language are elements that need to be worked upon.
  5. Active Learning with a Growth Mindset: The hunger to learn more and get better everyday is a skill that has to be inculcated in ourselves. One way to have a growth mindset is to keep learning. Look at challenges as opportunities and strive to overcome them. The day you decide that you know everything, that day you’ll be of no use to your employer. Hence learn and expand your knowledge. Keep improving your skills and you’ll always be a valuable employee.
  6. Judgement and Decision Making Skills: It’s no doubt that machines are able to process far more information than humans but they lack the skill of making sound decisions that humans are capable of. An employee must instill decision making ability to reach effective conclusions.
  7. Leadership Skills: A leader must possess qualities like honesty, confidence and the ability to make decisions. A leader must be able to come up with solutions to the common problems encountered at workplaces and motivate employees to perform better.
  8. Diversity and Cultural Intelligence: With the industry going glocal and people of diverse backgrounds coming together to form a team, it is important to embrace diversity and create an inclusive environment to work in. Cultural Intelligence (CI) is the proficiency to work in culturally diverse spaces. Every individual has his own unique way of approach towards the world, working in a diverse environment will ensure more effectiveness in decision making.
  9. Embracing Change: Change is natural and it’s important to approach change with an open mind. Accepting changes help you to become flexible and helps you to adapt better. In the age of AI, change is inevitable hence you should always look at it with a positive attitude, shape yourself better and align with changes around you.

Also Read: 

Get a free 1:1 Imarticus counselling
Get a free 1:1 Imarticus counselling