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8 Things About Leadership Training Course For Sales Professionals

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8 Things About Leadership Training Course For Sales Professionals

In today’s competitive environment, consumers have many options to choose from. It is tough to convince them to do business with you. Sales professionals understand this challenge quite well, which is why they keep trying to improve their sales skills and find innovative ways to achieve their targets.

Data by the Brooks Group suggests that around 53% of sales leaders are considering training options to upskill their teams and prepare them for sales excellence. Getting your sales team ready to face changes with proper leadership training is essential for thriving in a dynamic market, particularly after the pandemic.

Here is a list of best practices to be followed while imparting leadership team training for sales professionals.

Decide pay in a collaborative manner

Experienced sales leaders will never make any changes in their team’s payment plan without discussing it with them first. They will consider any great idea the team might have. They know that any abrupt change in the payment plan without the team’s knowledge would only upset them and distract them from result-oriented behavior.

Provide organised training regardless of experience

Even if a salesperson has a few years of experience, leadership development courses could help improve their skills further. Organised courses will also help bring the whole sales team on the same page and allow them to operate with a uniform sales process. Moreover, seasoned sales professionals mainly follow outdated sales techniques.

Regular sales training will update the skillsets of all team members.

Evaluate your salespeople throughout the sales process

workplace etiquette

Assessing the performance of your sales team and salespersons solely based on sales results is not the right approach. It will not tell you exactly where you should make improvements. To gain deeper insights, try and understand the skill sets of each team member and effectively train them in areas where there are gaps.

Empower your salespersons

You must give your sales team or sales reps the independence to complete transactions. You should prepare salespersons to handle a deal from beginning to end.

Leadership management programs help you coach the team and determine when it is time to allow members to act alone.

Develop a sales process

Every great sales leader understands a fact: to make good sales consistently, a consultative sales process that focuses on the buyer has to be followed. Develop such a process for your whole team during leadership team training. It will lead to improved coordination among members and establish a strong sales culture.

Pay attention to every salesperson in your team

Most leaders make the common mistake of focusing more on their team’s best and worst salespeople when all sales team members should receive equal attention. Each member has their strengths and weaknesses and should be mentored accordingly. Learn to balance between selling and leading

Being a successful sales leader is entirely different from being a successful salesperson. Understand that each role requires a different set of skills and responsibilities.

Leadership development courses are necessary to help salespeople gain the skills needed to become successful leaders.

Understand each individual on your sales team

A great leader understands each member of his team very well. Each person has specific behavior, motivators, insecurities, and communication style. Leadership team training courses teach you to bond with your team members better and adopt an approach that suits you.

Sales leadership training is critical for achieving outstanding business results and standing apart from your competitors. At Imarticus Learning, we offer quality programs to support your professional journey. Reach out to us today to achieve sales excellence.

Learn how to leverage paid media for influencer marketing ROI with a paid media marketing course

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Introduction

Online digital space has become the largest and most significant domain for advertisement and sales. This space can be effectively utilised even by small companies to sell all over the world. It is in addition to the traditional print and electronic media (such as television, billboards, and newspapers) being used for advertisement and sales promotion.

Companies use these print and electronic media to run paid campaigns to gain exposure and enhance sales. Do you want to become part of this rapidly evolving area of digital marketing? Then as a recently passed out graduate, you would know how to achieve tremendous success by taking up paid media marketing courses.

A career in Paid Media Marketing

Paid media is one of the leading channels for promoting content and attracting customers in the crowded digital space. Social media platforms such as Facebook, Twitter, LinkedIn, etc., offer a variety of ways in which a company can get exposure. Companies can choose social media where their potential customers are highly concentrated.

Then it can devise unique strategies to promote its content by utilising that media’s paid options. Marketing through paid campaigns can take different forms. These include pay-per-click advertising, displaying advertisements, content that embeds brands, and so on. The essential feature of paid campaigns is to promote awareness about the brands and thus complement revenue growth.

As a paid media marketing executive, your career would be challenging as well as interesting in the following ways:

  • You may get an opportunity to handle the accounts of small local companies and large multinational companies. 
  • You need to design, implement and manage paid media campaigns by seeking guidance and support from your company. 
  • The performance of your paid media campaign would be measured using various metrics such as the number of online customer clicks, number of inquiries, conversion of inquiries into sales, and revenue generated per campaign. 
  • You will be responsible for assigning budgets and optimising campaigns to maximise revenues. 
  • Your work is not in isolation. It involves constant interaction with the sales, account management, and analyst teams. 
  • You would get an opportunity to gain knowledge about the company’s various products and technologies.
  • You can implement various digital marketing concepts and tools of your choice and gain recognition from the top management. 

The company places tremendous responsibility on your shoulders by appointing you as a paid media executive. Hence, your campaigns should adhere to established moral and ethical standards. 

Imarticus Learning’s Post Graduate Program in Digital Marketing

Imarticus Learning is an Edtech company that specialises in providing industry-certified Post Graduate programs in Digital Marketing. This program incorporates the latest concepts relevant to paid and social media marketing. The industry veterans administer it through a number of support services to the aspirants. These include resume building, providing job leads, mock interviews, program mentors, and hands-on training on digital marketing tools. 

Modules in Digital Marketing Program

best digital marketing courses

This program incorporates various modules related to digital marketing, such as Search Engine Optimisation (SEO), affiliate marketing, paid media marketing, analytics, and Online Reputation Management (ORM). Thus, this program turns a novice like you into a full-fledged industry-ready digital marketing professional by offering a job assurance. You can visit and learn about digital marketing that happens in the real world.

Conclusion

Online digital marketing has become highly competitive since it provides a level playing field for both large and small companies. Hence, it is essential to leverage paid media marketing options optimally for building a successful campaign. You may wonder what differentiates Imarticus Learning’s program from other online digital marketing courses.

The answer is that, unlike other such courses, its curriculum is 228 hours duration. You get an opportunity to learn the nuances of digital marketing through classroom training and tech-enabled online live training. You can also know about other industry-oriented courses offered by Imarticus in the field of finance, marketing, data analytics, and technology by visiting https://imarticus.org. Contact us through our chat support or give us a call for more details.

10 Do’s and Don’ts For a Successful Leadership Training Course

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10 Do’s and Don’ts For a Successful Leadership Training Course

Are you looking for a checklist of criteria to identify and develop top-notch leadership management programmes? If you are a top executive management personnel or the head of your organisation’s human resources (HR) department, you know how vital it is to have a discerning eye and successfully implement employee training and development programmes. To guide your decisions, we have put together a list of do’s and don’ts to follow for designing successful leadership and employee training and development programmes.

Do’s

Through the leadership training programme, do:

Inspire participants to be in harmony with core business values and ethics.

This is because good leaders practice and propagate company values that gradually become part of the organisation’s culture. This trickle-down effect will positively impact other employees and bring in clients who identify with the organisation’s corporate identity.

Motivate leaders to pursue business results and people relationships in a well-balanced manner.

The programme should be able to encourage future leaders to chase better business results while fostering people relationships. The leadership development program should inculcate the importance of balanced leadership makes great leaders. This means being in charge of monitoring team activities and implementing the plan of action at the micro level, and creating a conducive environment and collaborative work culture at the macro level.

Improve the ability to promote accurate and harmonious information flow

The program must train leaders for effective communication and collaboration. The content and style of communication affect the success or failure of outcomes within the organisation and with partners, suppliers, and other collaborators.

Don’ts

Avoid making the following mistakes when designing and implementing leadership and employee training and development programmes. Don’t:

Lower the bar for participants.

This does not train leaders for real-world battles. Just though sports training makes champions, an employee training and development programme with a structured, extensive curriculum helps develop resilient leaders who convert challenges into opportunities.

Let the enrollment of participants be homogenous and bland.

It severely limits the ability of participants to work with diverse yet constructive points of view. The lack of diversity and inclusivity of participants from different domains, geographies, and cultures makes poor, judgemental leaders.

Make the program for participants highly classroom-oriented.

The ideal conditions that prevail while solving theoretical problems do not work in the complex and demanding business world. Such an approach is impractical for building hands-on leaders. Action-oriented experiential learning for participants is vital.

Design a curriculum that does not shape skills for preparing future-ready leaders.

The shelf-life of skills is diminishing. For example, today’s best coding is achieved using artificial intelligence without human intervention. The demand for mastery of future talents — rapid prototyping, constructive depolarising, dilemma flipping — from leaders is very different from that for traditional or popular skills, and the program needs to be in sync.

Have a routine that is highly rigid and discourages experimentation.

Such programs are not engaging enough and restrict participants’ creativity, adaptability, and exploratory pursuits. These are essential for leaders to tackle real-world disruptions. Amoderate level of discipline with flexibility works best.

I chose the wrong data science course and how you can learn from my mistake

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I chose the wrong data science course and how you can learn from my mistake

The field of Data Science is ever-growing. People from all walks of the IT sector are getting trained in data science as it seems to be one of the most promising career paths of the future, If you know your way around the field, then you know that data science is exactly that, a science. Not just a part of IT and business. A lot of people are opting for data science online training to build a solid career in data science. But what if I told you, that one of the biggest mistakes you can make is choosing the wrong data science online training course and wasting your precious time? Not only that but there are a lot of mistakes you can make while self-studying for data science. This article can help you refrain from making these mistakes and tell you which path will take you to the top fast. 

Some Common Mistakes People Make while Learning Data Science 

Now that we have delved into the topic, let us talk about some of the most common mistakes people make out of misconception while learning data science. 

Choosing the Wrong Course

online learning

You will have a lot of choices to choose from if you want to learn data science. There are many courses, books, videos and blogs at your fingertips. But overwhelming yourself with options is not the right way to go. Instead, focus on the courses that match your learning style and choose books and blogs that seem easy to you.

You have to slowly level up in this field and it can take a long time. One of the courses that can help you in this field is the IHUB Data Science and Machine Learning certification course. Which is an IIT Data Science Certification Course to help people get started on their career path as data scientists. It is a comprehensive course that teaches you the basics of data science and machine learning. 

Lack of Projects 

Learning data science includes a lot of studying, but it also involves a lot of hands-on projects. A lot of the time, people get so immersed in studying that they forget that in order to have a good career in data science, they will also need practical experience in the field. The most important thing to do alongside studying is making sure you work on a project for each thing you learn. That way, you will have real-life experience of what you are studying. 

Lack of Time Management and Planning 

One of the mistakes aspiring data scientists make while learning the subject is underestimating how much time and commitment it takes to properly learn data science. Another one is lacking a solid plan. Depending on your study methods and what you want to learn, you have to have a future plan for your study course. It should include all the courses, books, topics and projects you want to take on. This way, you will understand the subject better and also manage your time well. 

Too Many Research Papers 

Last but not the least, make sure you do not get too lost in research papers associated with your topics. It is normal to want to expand your horizons and learn about what the experts have to say about the topic you are pursuing. But often these high-end research papers can be too hard to comprehend for new learners. Better keep these for when you have a better understanding and grasp of the subject. 

Conclusion 

Now that you have learned which mistakes to avoid while learning data science, you can go about your way to pursue the subject. Remember that you can always learn from your mistakes down the line and make yourself better in the future. Data Science is a very specialised domain and you must be extra careful to avoid the mistakes that have been discussed. Making these mistakes can lead to you wasting your precious time, money and other resources. 

For instance, if you do not take up real-world projects and simply keep learning from study material or lessons, you will lack the experience to be job-ready. Companies are also more likely to hire you if you have deployed projects rather than how many courses you have completed. However, a well-rounded certification such as the one offered by Imarticus can help out a lot. 

How to learn natural language processing if you’re bad at math

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You have nothing to fear if you believe your math skills are lacking. You must be familiar with math principles to use natural language processing. Even if studying arithmetic is challenging, using the appropriate approach will be helpful. You only need to know math fundamentals to learn about natural language processing. To groom your math fundamentals in data science, you have multiple e-learning platforms that offer you some of the best data science courses with new-age curriculum and syllabus.

The most crucial aspect is to have a curious mindset and a learning attitude. This will help you identify the simple methods to solve the technical issues. You don’t have to worry if you are not a professional in math since learning NLP requires basic math such as Linear Algebra, Calculus, probability, and statistics.

Natural language processing is the branch of Computer Science that deals with Artificial Intelligence. Here, the computer is given the ability to understand the text and spoken language of human beings. Rule-based modeling, statistical learning, and deep learning models are used in Natural language Processing. These models are essential for the computer to comprehend spoken language.

Since machine learning uses data to learn the mathematical relationship between input and output, it is necessary to know basic math. In NLP, math is concerned with simply calculating demographic data and customer group identification. It deals with predictions and classification.

Hunt the Textbooks

Some of the courses for learning Natural Language Processing offers insightful resource material. It comprises the empirical path of finding out trial and error. You can practice several practice papers and master natural Language Processing without worrying about arithmetic. You may keep track of your progress by testing the codes on the software packages listed in the resource material. You can use the trial and error method rather than concentrating on complex ideas like “Boolean Logic.”

Online

Do It Yourself Tutorial– 

You can enroll in the course and use the tutorial lessons to try your hand at NLP. You can follow the simple instructions in these Scikit-Learn, R, and WEKA tutorials. This will enable you to try them out and aid your coding knowledge. Various levels exist, including Beginner, Intermediate, and Professional. You can test all kinds of challenges with the aid of these levels. Apart from that, multiple algorithms will simplify the mathematical equations. Hence, enabling you to learn Natural Language Processing. These online tools help you solve easy to complex math problems since the tool has the formula. 

Exploring libraries– 

The NLP learning courses offer a vast arena to explore libraries. There are multiple books and online study material for you to browse. Apart from this, the libraries also consist of projects on a trial basis. Thus, enabling you to try multiple demo projects. 

Text Pre-processing

The text pre-processing doesn’t require you to be an expert in using it. You can begin learning the fundamentals of NLP with your current level of arithmetic proficiency. The first stage in learning natural language processing may be text processing. The text umbrella approach is used in text processing to prepare the text for additional analysis. Along with the Lexicon, this also includes stemming, lemmatization, tokenization, and stopword elimination. Here,the pre-processing methods are straightforward and accessible. 

Keyword Extraction

NLP involves analysing the text and extracting the relevant words. It is the process of extracting keywords and analysing the text. It is an automated process of extracting helpful text by using Artificial Intelligence. The software allows you to extract keywords from your specified category and is pretty customisable. For instance, the automatic keyword extractor works if you want to remove the names. Your ability to guess the names and other pronouns is decreased.

Investigation of Algorithms

The NLP courses focus on investigating pre-existing algorithms. Here, the machine learning online training structure provides projects on which the algorithms have already been applied. Choose the correct algorithm and comprehend the application procedure. This will also aid in your comprehension of how the algorithm was used to generate the desired result. As a result, you can practice the algorithms without dealing with challenging mathematical problems.

Although essential, mathematics is not too complicated for you to understand. You can study NLP with the necessary course materials and carefully selected lesson videos. You can learn logical and abstract NLP concepts by enrolling in the online machine learning class.

For more information about Natural Language Processing, you can contact us by using the link on the webpage.

You can browse our data science course and training facilities in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad. You can also contact us using the live chat support, available 24/7.

Frequently Asked Questions

Which topics are included in the data science course?

A beginner’s Data Science course syllabus encompasses fundamental and advanced principles in data analytics, machine learning, statistics, and programming languages like Python or R. The curriculum guides students in interpreting large datasets, recognising patterns, and constructing predictive models. Additionally, the course delves into aspects of data security, ensuring a comprehensive understanding of safeguarding information in Data Science.

Can a fresher apply for a data science course?

Data Science is rapidly becoming a highly sought-after career choice, particularly for fresh graduates with a Computer Science, Mathematics, and Statistics foundation. The job landscape in India is poised for significant growth, with projections indicating the creation of 11 million Data Science jobs by 2026. This underscores the increasing demand and promising opportunities in the field for aspiring professionals.

Who can be eligible for a data science course?

Typically, individuals with science, technology, mathematics, or engineering backgrounds are eligible to enrol in a data science course. The eligibility criteria often include a graduation in Science or Engineering with a minimum aggregate of 50%, where subjects like Mathematics, Statistics, Computer Science, or Information Technology are considered core requirements.

Why learning inventory management is important for a supply chain analyst

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Why learning inventory management is important for a supply chain analyst

Any company’s inventory consists of a complete list of items like the stock of goods, property, or contents. It is often considered the most vital asset for that company. And inventory management is where all aspects of the supply chain system merge; therefore, a thorough understanding of inventory management is a critical requirement for a supply chain analyst.

A deficit of inventory during needed times might lead to dissatisfaction among customers. On the other hand, a surplus of stock would also cause issues. Proper care must be taken to prevent spoilage, theft, or damage, adequate insuring, etc.

Large companies with highly complex supply chains ought to strike the right balance between keeping too much and too little inventory. One can achieve this through detailed analysis, learning, and inventory tracking by the supply chain analyst.

What is an inventory management system?

The entire process of ordering, storing, tracking, and using inventory throughout the supply chain is called an inventory management system. While previously only very rudimentary methods for inventory management were used, such as spreadsheets, manual order placements, and hand-counted stock records, now it has been replaced by advanced tracking software.

It is also certain that in the future, with rapid innovations in the field of Artificial Intelligence, the Internet of Things, blockchain, and quantum computing, supply chain operators will continue to transform the inventory management system drastically.

How does inventory management function?

The primary goal of inventory management is to ensure that the right product is kept in the right place and delivered at the right time. This entire inventory tracking, from manufacturer to warehouses and then the sale, must take place efficiently. For that to happen, inventory management has to abide by three fundamental steps.

1. Purchasing inventory: ready-to-sell goods are directly transferred for storage in the warehouse or given up for sale.

2. Storing inventory: goods and materials are stored until required. At a later point, they are transferred into the fulfillment process and made ready to sell.

3. Profiting from inventory: the amount of output available for sale is regulated, and finished goods are held in the inventory for a period, which increases the value and thereby adds to inventory profit.

Inventory management for supply chain professionals

Effective inventory management can significantly facilitate the flow of goods and services between businesses to their respective customers- the primary responsibility of supply chain professionals. Supply change management also includes the warehousing and movement of raw materials, work-in-process inventory, tracking of finished goods, and order fulfillment from the point of origination to the final sale. Below is a list of features of inventory management that greatly helps supply chain analysts and professionals achieve their goals:

· Inventory tracking: knowing exactly where a good or product is located enables supply chain professionals to get hold of it and transfer it forward in the supply network.

· Order management: tracking orders, customizing pricing, initiating the return and subsequent refund, and sending quotes all ease the transaction between customers and the business.

· Transfer management: since the essence of supply chain management is enabling inventory movement and storage, transferring product to where it is most valued is an indispensable quality in the supply chain relationship.

· Reporting and analytics: inventory management’s reporting and analytics aspects permit supply chain analysts to evaluate and predict future sales- this would significantly reduce the chances of unprecedented shortages or surplus in goods.

· Purchasing: creating, managing, and tracking purchase and orders simplify the supply chain network.

· Shipping capabilities: automating shipping of goods from the inventory would eliminate the risks of late deliveries or delivering wrong packages.

A career in supply chain management

The purview of supply management is vast- it encompasses aspects from manufacturing, packaging, storing, transporting, logistics, and final delivery- therefore, it creates multiple job positions from different sectors. Some of the most notable careers in supply chain management are production planning, Logistics Resource planning, Transport administration, Warehouse management, Quality management, Purchasing management, etc.

The diverse sectors incorporated in supply chain management offer numerous job roles and positions for employment-seekers. As India is experiencing a surge in industrial companies and markets, the demand for supply chain professionals also mounts. Moreover, as you enter the supply chain industry, you will have to harbor a wide array of transferable skills- planning, management and administration, evaluation and forecasting, workflow optimization, etc.- that would be useful for any career path.

Young job-seekers can capitalize on this opportunity offered in the supply chain management domain by enrolling in the Professional Certification in Supply Chain Management & Analytics course of IMARTICUS Learning. It is an online course developed by IIM Roorkee that prepares you for the high-demand job roles in supply chain management.

To avail of this course in Professional Certification in Supply Chain Management & Analytics, you can contact us through chat support. You can also drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Hyderabad, Kolkata, Patna, Cochin, Jaipur, Dehradun, Lucknow, or Ahmedabad.

Top skills you need to get hired as a credit underwriter

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Top skills you need to get hired as a credit underwriter

Do a top-of-the-flight credit and risk management course. You can pursue a credit risk management career as a credit underwriter with a rating agency, credit scoring agency, bank, commercial lender, or financial institution. There is much potential for credit underwriting jobs with increased use of credit cards and “Buy Now Pay Later” strategies. A credit underwriter performs detailed research into the financial history of businesses and individuals to ascertain their credit worthiness.

As a credit underwriter, you will evaluate the financial information and risks before granting loans to individuals and companies. To ascertain creditworthiness, you must verify the income, financial statements, and tax returns. Doing a credit management course from Imarticus Learning will set you on the right track to having a successful career as a credit underwriter. Imarticus Learning offers this course in collaboration with the prestigious Moody’s Analytics.

As a credit underwriter, you will perform some or all of the below-mentioned functions:-

  • Knowledge of vendor programs, scorecard techniques, online credit systems, financial analysis, portfolio analysis, and credit/risk management techniques.

  • Develop an awareness of internal bank commercial loan policy, credit risk management policy, and external regulatory requirements.

  • Complete periodic credit servicing of the loan portfolio and analyze financial performance.

  • Research and analyze client information for client servicing strategy, risk, and compliance committees.

  • Complete all relevant documentation for risk, business, and compliance committees.

  • Complete due diligence on all new credit requests, including credit analysis, financial statement analysis, real estate appraisals, and participating in client calls

  • Structure approvals to enhance  dealer relationships and

  • Monitor adequate completion of the credit approval process

  • Assist in the management of transactions and deal flow.

The basic qualifications required are as follows:-

  • A Bachelor’s in Accounting, Finance, Business, Economics, or Management will lay the appropriate foundation.

  • Completing online credit management training through a credit management course from Imarticus Learning.

The skills required are as follows:-

  • Analytical and computational ability

  • Financial analysis  and numerical ability

  • Attention to detail

  • Decision-making ability

  • Efficiency and communication skills

  • Ability to work well under pressure

  • Should be technically savvy and should have excel and other spreadsheet skills.

Types of credit underwriter jobs

The roles available in industry segments for a credit underwriter are as follows:-

  • Loan or mortgage underwriter

  • Insurance underwriter

  • Equity underwriter

  • Debt  and security underwriter

Job profile:

Credit underwriting is a desk job requiring a lot of data analysis, calculations, and risk analysis. It also involves dealing with mortgage applications and credit processing. The starting salaries range upwards from Rs. 50,000 p.a.

A day in the life of a credit underwriter:

A credit underwriter plays a crucial role and is behind a financial institution’s decision to extend a line of credit to a business or grant a loan to an individual customer. Credit underwriters conduct economic analyses of companies and individuals to determine their creditworthiness. They analyze all related financial documents and credit scores to decide their creditworthiness. They work in tandem with loan officers and assist them in assessing the accuracy of loan applications. Credit underwriters also play an essential role in deciding whether to revise credit limits and interest rates on the existing loans of qualified borrowers. Financial institutions and banks need to lend money to meet their business objectives, so credit underwriters serve the essential purpose of selecting the most suitable borrowers.

What is the process of credit underwriting? 

Credit underwriters look at the following 5 Cs to analyze credit:

  1. Character: A credit underwriter orders a credit report of the potential borrower from any one of the following three agencies:-

  • TransUnion

  • Experian

  • Equifax

    A credit report provides a complete analysis of the past borrowing habits of the borrower. Borrowers with late payments and delinquent debts show that they cannot manage their finances and reflect poorly on their creditworthiness. On the other hand, if you have a positive payment history, you are deemed a good borrower.

  1. Capacity to borrow: The borrower may already have a certain amount of debt, so the credit underwriter has to gauge his capacity to assume further indebtedness. Ratios such as debt to income are calculated by comparing the borrower’s monthly income to the total debt amount. The level of indebtedness is also balanced against whether you have a high monthly income.

  2. Conditions: The credit underwriter assesses the underlying conditions as to whether it is O.K. to extend the loan. Adverse legal issues, the overall state of the economy, and the nature of the borrower’s business are all taken into account.

  3. Collateral: The credit underwriter will check whether the bank has a lien against any particular collateral or security and the property’s value that can be seized in a credit default event.

  4. Capital: The credit underwriter will check whether the borrower has sufficient capital/balance in his account to make the down payments and closing costs.

Key Takeaways 

As explained above, a credit underwriter plays a crucial role in reducing the Non-performing loans of a bank or a financial institution by making proper assessments and delivering sound credit decisions.

Visit: Imarticus Learning to learn more about credit management online training and courses. Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Can credit analysts be replaced by machines? Here’s what you need to know

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Can credit analysts be replaced by machines? Here’s what you need to know

With the extensive usage of machines, and technologies like artificial intelligence (AI), most routine tasks are now automated with reduced involvement of humans. Most of the functions that machines handle give better efficiency, more accuracy, and higher productivity, be it performing credit analysis. Such reasons will eventually put a question mark on professions like credit underwriter jobs.

According to the famous media house Business Standard, most jobs will be automated in the next 15-20 years. This conveys that people like us may lose jobs and be replaced by machines. This may drastically affect individuals’ financial growth.

Since machines will be working everywhere, you may ask, will credit underwriter jobs be at risk too? Can a credit analyst course or a certification in credit risk management be helpful? Let’s find out.

What Are Credit Underwriter Jobs?

First, you should know that a credit analyst is a professional who accesses the creditworthiness of individuals to help them perform their financial obligations successfully.

Their job is to do massive financial calculations and analyses of the creditworthiness of companies and securities. They gather past financial information from the customer and then evaluate their financial health and ability to repay the credit.

Their primary role is to provide the best solution to repay credit and improve the economic growth of individuals, companies, and even securities. Their main aim is to lower the financial risk and find the best possible solution within the limitations of the customers.

This Is What We Think Will Be Helpful

Do you know that the demand for automation occurs when the human efficiency and productivity of work decrease? In such cases, inefficient human resources get replaced by machines. However, machines lack creative thinking ability and qualitative and critical analysis.

However, humans have better creative thinking and qualitative and essential analysis abilities. Moreover, they have common sense while performing tasks. So, people will prosper in this field if they gather the skill set required for credit underwriting jobs.

Since a credit analyst not just analyzes credit worthiness, it also provides solutions according to the situation and its limitations. A machine will give the answers based on the data stored in them. They can’t refine new solutions according to the problem and the risks involved.

The following are steps that will help you ace credit analyst jobs:

·         Develop the required skills for the credit analyst role

·         Do courses and build knowledge and skills for this role

·         Provide better understanding and solutions to the problems

·         Perform certifications: this will prove your worthiness for this job role

Therefore, as a credit analyst, you will not just assess the situation correctly but also provide the best solution for your financial problem. Thus, it’s time to step up and gather the resources to secure the credit analyst role.

Time For Action

Machines won’t replace credit analysts. Instead, they will work together to improve efficiency, speed, reliability, and accuracy. Thus, It’s time for you to quickly take action and develop skills to improve productivity and provide the best solutions to your customers.

Take Up Credit Analyst-Related Courses

Look out for a credit analyst course or a certification in credit risk management. Having more accomplishments will upgrade your chances for such functions. Moreover, these credentials add to your skill set and help shape your career in this domain. These are the introductory courses whose accords are in demand in the financial market. Some of them are even rewarded.

Develop Skills by Getting Industry Exposure

Start working at an early stage. You can ask your tutors to help you get a little more practical exposure. Take up projects and look for work. You can always start with internships when you want to learn.

Suppose you are interested in finance and accounting and are willing to serve companies and consumers to solve their financial issues. Then credit underwriter jobs are perfect for you. There are various opportunities out there for the credit analyst role. Investment companies, commercial and private banks, and credit card companies are looking for an efficient individual with the proper skill set for credit underwriter jobs.

Bottom Line

Soon, technology will inevitably automate specific jobs. However, people need to understand that jobs that require deep analysis, critical analysis, creative solutions, and out-of-the-box thinking will not evaporate.

Credit underwriter jobs come under this category. They will survive the transformation wave, but after taking some actions. Analysts must be more efficient and productive and have the skills and knowledge to give the best solution. They can prove their worthiness by performing well in credit analyst courses and gathering certificates in risk management courses.

You can contact us through chat support or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad. We are here to help you out.

CFO: Skills, Education, Salaries, Responsibilities

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CFO: Skills, Education, Salaries, Responsibilities

Do you wish to become a CFO? If your answer is yes, then you must have taken into consideration the responsibilities, skills, education and salary of a CFO. But before you decide on this career jump, first understand who a CFO is and what does he do?

A CFO is the head of the finance and accounts department of an organisation. Hence, he is the man in charge of managing the flow of money in a firm. A CFO takes part in the day-to-day operations of his/her department and ensures that things are running smoothly with the company not facing any major financial hit. Moreover, he analyses the financial statements and related data and makes recommendations to better the performance.

Resultantly, he/she is the one who shoulders the responsibility of ensuring proper planning for a fiscal year and plays a pivotal part in implementing that outline.

Responsibilities of a CFO

As a CFO, you have many duties and responsibilities. Some of them have been given below –

  • Manage the company’s finance and accounting teams and give them the necessary directions as a leader.
  • Brief the CEO and other executive directors on the financial proposition of business plans.
  • Review finance, human resources, or tax-relevant financial procedures for formulating or enforcing internal control policies.
  • Upgrade the financial systems, cash flow processes, and associated technologies in the organisations.
  • Connecting with investors or shareholders to understand their expectations.
  • Compute data-driven analyses for giving the necessary financial recommendations to the company.
  • Supervise third-party auditors.

That’s not all. The CFO has to also manage the following professionals in the company –

  • Accounting professionals
  • Tax professionals
  • Financial analysts
  • Human resources personnel
  • Investor relations professionals
  • Financial controllers

Education of a CFO

Becoming a CFO takes time as you need the experience to manage a team. However, the academic background that you need to start your journey on this career path will include the following –

  • Following the completion of your class 10 or equivalent, it is ideal for taking up commerce as a stream.
  • Once you complete your 10+2 or equivalent, you can choose accounting and finance as your major in college, supported by subjects like business administration, audit, etc.
  • Now, after completing your college, you can enrol for specialised courses like MBA, or you can simply go ahead with the master’s degree.
  • At the same time, remember that completing the chartered accounting course can be another way of building your career as a CFO; you can study for the CA course after your graduation.

Now, if you don’t want to get into any confusion, you can simply opt for a specialised course like the chief financial officer course. Leading educational institutes like Imarticus Learning, along with the IIM Indore, is conducting such professional courses.

Now, a CFO executive training course will help you gather the knowledge to perform your duty as the departmental head. It will also give you an insight into the running and management of a business so that you can perform your duties better.

Skills of a CFO

Having the theoretical knowledge is not enough to become a CFO; for this, you need a few skills; these are –

Leadership and management skills

A CFO needs to manage teams and implement new financial models in an organisation. To achieve this, a CFO needs to have excellent management and leadership skills. They need to also make financial plans from scratch and implement them all across the organisation.

Problem-solving skills and data analysis

CFOs make business decisions across large corporate organisations to find feasible solutions to a problem in business. This needs problem-solving skills. Moreover, companies assume a CFO to offer explanations that are easy to implement and solve any organisational hurdles with the help of their data analysis skills. They are capable of handling financial analytics necessary for business and presenting strategic decisions for reducing exposure to risk.

Ethical Integrity

CFOs need integrity when it comes to matters of financial reporting because they are handling the entire finance at the senior-most level. Having ethically strong morals and principles is important, so employers hire candidates with high integrity for a company’s financial stability. The importance of this skill cannot be stressed enough. If a CFO is dishonest, the entire financial team will follow suit, reflecting on the company.

Communication skills

Top financial employees in an organisation communicate with all kinds of professionals in the company. This could mean they need to convey their ideas and reports to the CEO, business stakeholders and board of directors. The ability to communicate verbally and digitally with others is a role-specific job essential skill. Written communication skills could come in handy while preparing financial reports.

Salary of CFO

The average salary of a CFO in a medium-level organisation is ₹75,000- ₹1,00,000 per month. The salary in top organisations in the country could be astronomical. But the whole salary thing depends on the size and type of company. Other factors that come into play are the candidate’s qualification and experience and the job location. For instance, the average salary in Chennai could be higher than in Bengaluru for financial professionals. But that is just a rough estimate. It is better to extract this data from the company itself.

To conclude, being aware of the skills, responsibilities and salary of a CFO is only half the job done; what follows is the efficiency of using this knowledge to your advantage. In this regard, different professional courses can help you besides your traditional academic knowledge. In this regard, complete a CFO executive training from Imarticus Learning to give your career the required boost.

I compared top data science and machine learning courses and here’s what I think

Posted on by Imarticus Learning

I compared top data science and machine learning courses and here’s what I think

We’ve all seen the data science and machine learning courses advertised on the internet. But what is a data science course, exactly? And should you be doing a machine learning course instead? I compare two popular data science and machine learning courses to help you decide if one is right for you.

Data Science

It is the in-depth examination of large amounts of data in a company’s or organization’s repository. This research includes determining where the data came from, analyzing its content, and determining how this data can get used to help the company grow in the future. 

An organization’s data is always in one of two forms: structured or unstructured. When we analyze this data, we gain valuable information about business or market patterns, which gives the company a competitive advantage because they have increased their effectiveness by recognizing patterns in the data set.

Machine Learning

It is a subset of data science and is one of the most powerful tools in your arsenal. It’s also sometimes known as artificial intelligence or machine learning, but don’t let that confuse you. They all mean the same thing: techniques for making predictions about something based on past data.

If you’re new to this topic, consider what machine learning can do:

  • Predict future customer behavior by looking at past purchases (like online shopping).
  • Make recommendations based on users’ purchase history and preferences (like Netflix recommending movies based on previous viewing patterns).

What Makes These Two Techniques Different?

Data science includes machine learning. It’s more about the process of data analysis, while machine learning is more about the process of data prediction.

Data scientists rely on statistics and mathematics to analyze large amounts of information from diverse sources, but machine learning only uses math. This means that when you need to predict something based on past events or trends, you can use either technique—you just have different tools for each task!

How to choose between Data Science and Machine learning?

First, you need to know that there are two main types of data science: descriptive and predictive.

Descriptive data scientists analyze large datasets to find patterns, explain trends and predict outcomes. You can use them for marketing research, fraud detection, or predicting the weather.

Predictive models use machine learning algorithms like neural networks (a type of artificial intelligence) or decision trees (a tree-based model) that make predictions based on collected training sets—the same results over time. 

Machine learning seems more applicable in some cases (like spam filtering), while data science might have better predictive power. In any case, both of these fields are extremely exciting and evolving rapidly!

Discover Data Science and Machine Learning Career with Imarticus Learning.

Students can start their careers in data science with this certificate program in data science and machine learning. Through this curriculum, students will learn the fundamentals of data science and machine learning and the knowledge and skills required to apply these concepts in the real world.

Course Benefits For Learners:

  • This five-month program, designed by IIT faculty members, will teach students how to use Python to understand data mining and machine learning methodologies.
  • India’s top educators will deliver this data science certification course live online.
  • Students will develop a solid foundation in data science with the assistance of our online data science program.

Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

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