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Day: February 2, 2022

Financial Risk Management Course – Setting a career planning horizon

Posted on by Imarticus Learning

Finance is currently one of the most sought-after sectors and one with the most job opportunities. Why? Apart from its future job prospects, because most people want to earn money by knowing how to manage it.

If you are one of them and you want to set a career planning horizon, proper training in this field will ensure that you become an expert. One of the best options is to take our financial planning and analysis course in the FINANCIAL ANALYSIS PRODEGREE – read on and find out more!

The common definition of financial risk is as follows: it is the probability of an adverse event occurring that carries with it certain consequences. Therefore, it refers to the fact that a certain event may result in negative effects for the company. It is thus the dreaded uncertainty of not knowing what will happen after a certain action is taken. However, when we talk about the financial risk we have to think of a wide range of consequences, both negative and positive.

Proper management of a company’s potential financial risks is therefore fundamental to its operation. Why? To be able to prepare for certain circumstances, to make more profit, and to minimize losses.

In order to eliminate or mitigate financial risks, it is essential to be able to quantify them. Therefore, it is important to learn financial analysis to scan the risks that you face on a daily basis in a finance department and deal with them.

The knowledge you will acquire about financial hedging will help you to reduce the volatility of the investments made by your company, reduce the probability of failure and carry out riskier investments than your competitors with greater security.

For all kinds of decisions, it is important to plan and set goals and objectives. This applies to life as well as to finances. In the case of financial analysis, we can carry out the following steps:

  • Identify key risks. Be aware of the possible risks that we can face.
  • Calculate the weight of each risk. Once you have analyzed each risk, prioritize them according to their importance. We can then create a plan in case a threat materializes.
  • Create a contingency plan. To do this, we need to analyze what we need to do to address the risks. On the other hand, in many cases, we will not be able to control the risks. This is why our contingency plan has to be based on two concepts. Firstly, on the level of tolerance and secondly on the risk appetite that the company has established.
  • We need to assign responsibilities. We know that it is not possible to assign responsibility for every risk. But, we must try to have one person responsible for monitoring the critical points and their evolution. However, teams are better at certain tasks. For this reason, we should not centralize tasks in one person.
  • Set deadlines. The plans we have developed cannot be executed indefinitely, because new threats are constantly emerging. Therefore, we need to make a checklist that manages financial risk. Once you have carried out all these steps, you can proceed to the desired financial risk management.

As you can see, the tasks involved in the field of finance are not easy. For this reason, it requires great professionals who are experts in the field through extensive training. If you want to be one of them, do not hesitate to consult our FINANCIAL ANALYSIS PRODEGREE and take a chartered financial analyst course. What are you waiting for? Don’t hesitate any longer and enroll. You won’t regret it!

Adopting a data-driven approach to supply chain certification courses

Posted on by Imarticus Learning

Supply chain analytics is an integral part of SCM (supply chain management) which is entirely data-driven. It primarily depends on gaining insights and values from the huge amounts of data related to various supply chains management elements like procurement, processing, and distribution of commodities. 

Further, supply chain analytics is involved in the collection and compilation of relevant data from across various applications, third-party sources, infrastructure, and upcoming technologies. This improves the quality of tactical and strategic decision-making in supply chain management. You can get better at it by enrolling in a comprehensive supply chain certification course. 

Besides, supply chain analytics also aids in the synchronization of planning and execution by enhancing real-time visibility into these methods and the impact they have on customers. Increased visibility leads to the increase in flexibility in a supply chain network that eventually helps decision-makers to efficiently evaluate tradeoffs amongst customer service and the cost.

How is supply chain analytics related to supply chain management?

Supply chain analytics plays an integral part in supply chain management because it has the ability to think about and make data-driven decisions on the basis of the summary of trusted and relevant data. Since supply chains generate huge amounts of data, supply chain analytics decipher the data to make sense of it and uncover insights and patterns. This is how supply chain management is dependent on supply chain analysis. 

Courses related to supply chain analytics

We can already conclude that a supply chain cannot exist without supply chain analysis. If you are enthusiastic about supply chain management as well as data analysis, then here are some courses that will give you a better insight into the data-driven approach to supply chain management. 

Supply chain analytics certification: This course is meant for individuals who want to learn about how to integrate supply chain management with data analytics. It will help you discover, determine and solve problems in various sectors of a supply chain. Additionally, you will develop data analytics skills and learn how to use tools for improving supply chain performance.

 

Big data analysis and machine learning: This certification will give you added leverage as you will be taught how to use most of the data science tools and techniques that are in demand to make yourself ready for the job market. You will develop important and valuable skills in Python, data analytics, SQL, data visualization with Tableau, and machine learning.

Real industry problems with real industry projects: A business analyst’s role is to prescribe the ultimate solution to any problem and this analytics course emphasises teaching and building up this quality. This course will teach you how to take data and models and connect them to real-world scenarios requiring decision-making in the supply chain and other areas like finance, manufacturing, and human resource management.

Predictive analytics for demand forecasting: Data is the basic raw material that is highly dependent on predictive analysis for understanding it and effectively utilizing it. This specialization helps learners recognize the primary components of predictive analysis which include monitoring big data at any given moment.

It also teaches the importance of Tableau that provides particular views of minuscule events or connects information to the recent forecasts and trends in order to ensure efficient allocation of resources and improve effectiveness.

Supply chain management is a job role that also requires the efficient handling of large amounts of data sometimes. Professional certification in supply chain management or any top-tier supply chain certification will help in acquiring the necessary skills to fit the bill.

It ought to equip you with the knowledge and skillsets that you will require in your journey into supply chain management. You can opt for good courses offering certification in supply chain management online with Imarticus Learning.

Cybersecurity recommendations for campaigns and organizations in 2022

Posted on by Imarticus Learning

With the increase in technology, there has also been a tremendous increase in cybercrimes. Hackers find a way to steal data and sensitive information. In the year 2022, it is time to level up security and work towards safeguarding data. 

According to surveys, in 2021, IBM came up with a report on the Costs of Data violation and the enormous increase in Cyberattacks was the highest in the company’s 17 years of the report. There were attacks such as phishing, ransomware and a lot of security had to be enforced to secure emails.

Keeping the current security scenario in mind, it is better to upgrade Cybersecurity and take measures to safeguard data by developing better practices in 2022. Training the employees and helping them take up Cybersecurity training courses can also make the employees more aware and efficient towards Cyber-attacks. 

Phishing of company’s workers has been a commonly used trick by hackers to steal credentials which leads to illegal access and that further leads to ransomware, data breaches, and malware infection. 

Due to the COVID 19 pandemic, several organizations had employees working from home which resulted in maximum usage of cloud storage. This led to more cyber-attacks since most of the security experts in the IT industry weren’t ready for this new change in the working pattern. Several organizations have accepted being victims of Phishing where employees have been tricked by the fraudster. Organisations have ended up losing money for trying to rectify mistakes. 

Cybersecurity practices to follow in 2022 

Organizations need to move forward and adapt newer technology and practices to ensure that there is a decrease in Cyberattacks. Here are a few recommendations: 

  1. Have a team dedicated to Cybersecurity headed by the best experts- Cybersecurity shouldn’t be just a formality on paper. There should be a team of people who work to ensure that no fraudulent cases are happening, and the organization’s data is protected. The team should have a well-thought security policy.
  2. Make sure the employees are on board with the organization in the fight against Cyber-attacks- Most cyber-attacks happen when employees are tricked into giving away valuable information. There are several times when employees fall into phishing traps. Employees should be made to understand the working process of security events. A human firewall and awareness are necessary. 
  3. Engage in instilling skills- If an organization is unable to recruit a team of Cybersecurity experts, then they should work on making the employees take up skills and sharpen their knowledge on Cybersecurity. The trained employees can then tackle curveball situations and fight against any malicious cyber attacks. There are plenty of Cybersecurity training courses available.
  4. Use smart security solutions- organizations should use versatile techniques and adaptive security solutions. Security threats are often difficult to detect hence organizations must invest in good software and update them from time to time. Smart tools can be made use of by an MSP. Foolproof login credentials like two-factor authentication must be deployed to increase security. Server software and applications should be updated to avoid any errors. 

Why are Cybersecurity certification courses important? 

Cyber-attacks are a threat to organizations and they incur huge financial losses every year trying to rectify them. There is a huge gap in the IT industry due to the lack of skilled cybersecurity experts. For individuals who have a keen interest in IT and are looking at pursuing a different career path, Cybersecurity is a great opportunity.

One can also become a Certified Ethical Hacker. Imarticus Learning provides a great platform for students to pave a great career path. Imarticus Learning has a Postgraduate program in Cybersecurity. With the best in the industry mentoring the students, they prepare them for the competitive world. 

How to get started in Python: An overview of recent trends

Posted on by Imarticus Learning

Are you very interested in programming? Then you need to know the programming language Python. No, it’s not exactly about pythons and snakes, so you can let your puppy loose.

Why Python, specifically? It’s approachable, simple, and adaptable to a range of situations. And because a growing number of programmers all around the world are using and appreciating it.

In fact, according to a recent rating published by IEEE Spectrum (a prestigious engineering and applied science newspaper), Python will be the most used programming language in 2020, followed by JavaScript, C++, C, and Java.

Python’s popularity has been stable in recent years, and this trend is unlikely to reverse. Python tutorials are the most popular on Google, according to the PYPL portal, and everyone wants to learn Python nowadays.  

This explains why Dropbox, Netflix, Facebook, Pinterest, Instagram, and Google all employ Python in their technical growth. Additionally, NASA is included in this list of “tech celebrities” that use Python. Do you see why it’s important for you to be aware of it?

Python is quite popular, and everyone wants to learn more about it. You, too, would not be reading this article if you weren’t.

Projects and programs made in Python

  • Netflix

Netflix, the platform that had a growth of 16 million subscribers during the first quarter of 2020, also uses Python. Its engineers prefer this programming language mainly because of its available libraries.

  • Instagram

Yes, the app you use to share images frequently uses the Python programming language on its backend (what runs on a server). In other words, Instagram is implemented on the open-source web development framework Django which is written entirely in Python.

  • Google

This is one of the big projects that also use the Python programming language, in addition to C++ and Java.

What are the characteristics of Python?

The Python programming language is known for being simple, quick, and having a short and easy learning curve. It is free to use and share because it was created under an open-source license.

But what does “multi-platform”, “multi-paradigm” and “interpreted” mean, here is the explanation:

– Multi-platform: Python can operate on a variety of platforms, including Windows, Mac OS X, Linux, and Unix.

– Multiparadigm: Because it is a programming language that allows a variety of programming paradigms (development models), programmers are not forced to utilize a particular style. Python supports which programming paradigms? Programming styles include object-oriented, imperative, and functional programming.

– Interpreted: Python “interprets” the programmer’s code, which implies it both interprets and executes it.

Python may also be used as an extension language for applications that require a programmable interface since it is dynamically typed (when a variable can take values of multiple kinds or adapts to what we write).

What is Python and what is it for?

Python is a multi-paradigm, multi-platform interpreted programming language used mostly in Big Data, Artificial Intelligence (AI), Data Science, testing frameworks, and web development. Due to its vast library, which has a wide range of features, it qualifies as a high-level general-purpose language.

In 1989, Guido van Rossum, a Dutch programmer, decided to construct an interpreter for a new scripting language he was developing.

His significant expertise in creating the ABC system – an interactive, structured, high-level programming language – aided his efforts to develop a language that was more intuitive, simpler, more powerful. Python, the successor of the ABC language, was born in 1991 (yep, he is a millennial at 29 years old).

Conclusion

At Imarticus we offer a Data Analytics course where you will learn more about how to get started in Python and you will receive more than an overview of recent trends. Visit our website today and enroll in one of our analytics programs. 

A credit analyst course can be the next best thing for your career

Posted on by Imarticus Learning

Credit risk analyst certification

A person with credit analyst training evaluates an applicant’s ability to repay a loan and recommends that the loan be approved or denied. Let’s look at what to study to become a credit analyst.

Those who train to become credit analysts often find work in banks, lending institutions, credit card companies, investment banks, credit rating agencies, and investment companies. Let’s look at what to study to become a credit analyst.

What a credit analyst does

Let’s start by understanding what the typical tasks of credit analysts are. A credit analyst collects and reviews financial data pertaining to loan applicants, including their payment habits and history, earnings and savings, and spending patterns. Based on this, he or she recommends loan approval or denial. 

In detail, these could be some of the day-to-day tasks of a professional that has completed a credit risk analyst course: 

  • Conduct a thorough analysis of financial statements and evaluate new, modified, refinancing, and annual due diligence credit applications.
  • Provide your institution with recommendations linked to credit risk analysis and assessment.
  • Maintain credit files and identify discrepancies and variances.
  • The present analysis, findings, and recommendations to managers, with emphasis on applicants’ ability to pay.
  • Keep up to date with company lending protocols.
  • Develop and prepare spreadsheets and models to support credit and loan analysis. 

Qualifications and skills

The minimum requirement for this position is usually a degree in finance, accounting, or a related field.

In that sense, the analyst should be familiar with accounting concepts, finance, statistics, ratio analysis, calculus, economics, industry evaluation, and financial statement analysis. Risk analysts in particular are experts in all these concepts and practices.

Some banks and companies provide on-the-job training in credit analysis to candidates who do not have finance-related degrees. In other words, they acquire through work experience what they do not acquire at a university.

However, most analysts are trained at universities, not only obtaining a bachelor’s degree, but also a postgraduate degree. In any case, for financial analysts, experience is crucial. In summary, we can present the skills and requirements for credit analysts as follows:

  • Bachelor’s degree in finance, accounting, or other business-related fields.
  • Two to five years of solid quantitative experience.
  • Strong proficiency in MS Office and computer skills.
  • Ability to work under high pressure and effectively manage competing deadlines for projects with varying degrees of supervision.
  • Strong attention to detail to be able to notice discrepancies in data.
  • Impeccable understanding of financial statements, ratios, and mastery of concepts.

Other skills an analyst may need include:

  • Diligence in solving problems and moving projects forward.
  • Quantitative analysis skills to review large numbers.
  • Written and oral communication skills, to effectively inform decision making and summaries.
  • Knowledge of the financial industry and the industry in general in which you plan to work.
  • Multitasking and being able to prioritize what is really important according to the project.
  • Be able to handle some advanced financial software.

Conclusion

The figure of the risk analyst in companies is relatively new, but today a credit analyst course can be the next best thing for your career. Traditionally, it was not available. However, as companies face uncertain scenarios or complex situations, this profile has become crucial for success.

Here at Imarticus, you can enroll in our Credit Risk and Underwriting Prodegree to have access to the best credit risk analyst course.