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Day: August 25, 2021

Importance of Financial Analytics Courses in New-Age Careers!

Posted on by Imarticus Learning

The banking sector is getting smarter. This digital transformation includes the integration of banking business with digital technology. With a significant aspect of finance happening to investment banking, it has become a significant factor in the banking industry which proposes a substantial career opportunity to many.

Here are some career paths a finance degree can prepare you for:

Fintech business analyst

Fintech companies provide consumer services like business loans or digital banking and work with traditional financial institutions to modernize technologies. Fintech companies look for business analysts with strong financial knowledge. If you’re a fintech aspirant, gain some business operations or data analysis experience for a competitive edge.

Impact investing analyst

Impact investing and closely related socially responsible investing are budding methods of investing, which lets investors choose to place funds in projects that align with their value proposition. Investors screen portfolios for companies that are working to alleviate social issues. Analysts work for companies focusing on responsible investing.

Financial analyst

Financial analysts describe data & help investors make sound decisions. Financial analysts work for investment banks & businesses to find new business or investment opportunities. They are responsible for studying the big-picture phenomena like market trends and competitor movement, devise models & predict sales and guide business decisions.

Commercial banker

Commercial banking has gone through a massive transition in recent years, adopting digital technologies to enhance its services while evolving to accommodate new players in fintech. But commercial bankers play an active role in the economic health of local areas.

Financial advisor

A financial planner guides clients to achieve short & long-term financial goals. An advisor counsels a client on investment structure or prepares plans to help pay for college for a client’s children. Personal finance advising is a rewarding career, with immense opportunities for face-to-face interactions.

Why get a finance degree?

A finance degree equips aspirants with an understanding of accounting, statistics, and economics and prepares for a career in managing money in various forms. Finance is a crucial aspect of most organizations, making the industry more versatile and steadily in-demand across many sectors.

Studying finance opens scopes for careers with significant financial rewards, but that’s not the only benefit. Finance powers the economy, and professionals drive the economy on the right path. Finance in the right hands is a powerful force for innovation, prosperity, and social benefit.

Finance degrees: Bachelor’s, Master’s, and Online degrees

Bachelor’s degrees in finance

Before courses for financial analysts, a bachelor’s degree in finance is the first step for a finance career. Undergraduate coursework in finance includes introductory courses like accounting, macroeconomics, microeconomics, and statistics. Some courses may demand calculus or other mathematics.

Master’s degree in finance 

A master’s in finance builds an understanding of finance basics. Coursework includes financial modeling, pricing theory, data analytics, and financial ethics. A master’s degree enhances earning potential & prepares you for tasks needing a deeper understanding of financial principles.

Earning online finance courses

Online learning fits the quantitative and analytical nature of finance degrees. The online financial analytics course syllabus has multiple perks, are affordable and flexible. Online courses specifically cover skills like financial modeling or accounting.

Additionally, chartered financial analyst courses & financial analyst courses are other ways to build a finance career.

Getting started in finance with Imarticus Learning

If you’re ready to get started, take a look at Imarticus Learning’s accounting, business, and finance degrees. Since the role of data and financial analytics is clear for the Fintech industry, professionals must strive for a better career in analytics. A financial analyst course is the first step to pave the path into the world of big data.

Imarticus Learning empowers students with Financial Analysis Prodegree (FAP) that experts professionally tailor to use proper data analytics applications efficiently. The financial analytics course syllabus comprises theoretical and practical knowledge through workshops with industry experts, which provides an excellent opportunity to learn.

Please send us an inquiry today through the 24×7 Live Chat Support System and request virtual guidance from experts!

Having Technical Knowledge Is Not Enough For Data Scientists

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Data Science today has become the most advanced field industry in comparison to all those industries that have existed in the market sphere. One thing that is very evident about this field is that it is ever evolving in nature. This is one of the reasons why a lot of data science experts advice professionals to forever remain on their toes when it comes to the various developments in this landscape.

Mark Twain’s famous line, “Don’t let school interfere with your education” work the very best for all the professionals in this sphere.

As the field of Data Science is fairly new, there are a number of tweaking’s, replacements, additions and newer solutions being introduced here almost on a daily basis also. This is the reason why it makes it so imperative for Data Scientists to be aware of all the newer trends. After getting certified in any one data analytics tool, keeping in touch with the various new developments in terms of other tools and functions, becomes very important for any Data Scientist, who is looking to expand and improve their career. Data Scientists are time and again advised to learn and relearn certain ‘soft-skills’, which will help them stay on top of their game when it comes to the various requirements of the industry.

Data Science Course

While technical knowledge is of utmost importance, being able to develop certain professional traits and habits has great benefits Data Science professionals for these. It is said that learning never ends, it is a continuous process. Similarly for a data analyst, keeping up with all the market trends and trying their best to expand their skill set is a per-requisite. This is the very reason, why a number of professionals today reach out to us to help them gain knowledge of other data analytics tools like SAS Programming, R Programming, Hadoop, Python and more. It is always a better bet to add to your laurels than just resting on them. The most crucial parts of being a Data Scientist is not just to have great skills, but also be able to communicate their results very effectively. As this field has expanded from just being IT related to more fields throughout the market sphere, the same is expected out of a Data Scientist. A professional who has all the technical knowledge, but does not have any knowledge of the business perspective, would not be able to effectively deliver the results of the analytics work.

Business strategizing and development are two very important parts of data analytics and until a professional is not able to deliver on the technical as well as the business front, he becomes more of a liability than an asset to a firm. Thus reaching a balance between these two aspects will open up a candidate to huge benefits thus. Apart from working on your soft skills, working on your networking skills can also make a world of difference for all the data scientists out there. Attending a number of conferences and related events, will not only help you learn a trick or two but also will help you gauge current trends and give you a sterling CV.

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What Are The Application of Machine Learning in Medicine?

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Medicine and healthcare are leading industries with altruistic goals. Smart applications of the Machine Learning are today playing a role in a variety of areas like billing, insurance claims, record-keeping, patient-care, staffing solutions and many more. Just over the last decade technology has changed much. So have the volumes of data and its complexities, the various smart devices being used, and the algorithms specific to medical care.

ML is the system of algorithms developed for specific tasks that use deep-learning and artificial intelligence to simulate the way in which the human brain works to execute and aid us in complex tasks. Hence Machine Learning Course is an evolving and very important field. The ability of the ML algorithms to accurately predict, self-learn and assist us with forecasts is truly amazing and way beyond what the human brain is capable of. The field of ML is lucrative too!

Let us look at some of the best applications of ML in the medical and allied fields.
1. Diagnosis on a global scale: ML algorithms and applications score in disease diagnosis, providing simple diagnosis and online treatment even in rural areas, identifying patterns in the disease progression that is hard to recognize, and creating a global repository of research to help better the healthcare segment. Some of these are cancer detection, treating underlying genetic conditions hard-to-diagnose like Parkinson’s, diabetes, etc, providing therapeutic aid, and predicting conditions like stress, depression, etc.

2. CAT scans and MRI aided Diagnosis: Deep Learning and ML have been responsible for the development of advanced imaging devices like the Computer-Aided-Tomography scans, Magnetic-Resonance-Imaging, and the non-invasive Doppler or ultrasound scans. These developments embody machine learning training, handling of large data volumes and the ability of AI and can easily be used to forecast accurately the development of tumours and aneurysms.

3. Manufacturing and discovery of new drugs: Research, discovery, and use of the latest drugs are very important today as we discover more diseases and strains that are traditional-drug-resistant. ML allows the learning in an unsupervised fashion and helps develop new drugs with optimum dosages which can even be personalized for cancer patients.

4. Modification behavior-therapy: Prevention being better than cure several startup firms have come out with gesture-control based therapy apps, symptomatic analysis, early cancer warning, and detection apps, sleep trackers and such behavior-sensing apps that can help even with predicting the susceptibility to genetic diseases. For ex: Angelina Jolie underwent mastectomy based on such a forecast of cancer.

5. App-based medical personalization: Currently medical predictions use biosensors, historical data, genetic information and symptoms to diagnose ailments which tend to have rather fixed treatment methods. The time is not far where ML can offer holistic personalized treatment options which can help faster recoveries by identifying the underlying cause, diets, optimum medicine dosages, and recovery paths in a moment. Even the very process of seeking doctor’s advice appears to be going online to reach out further into rural areas and the personalization of healthcare regimens.

6. Outbreak Prediction: ML, deep-learning and AI have succeeded in not only assisting in healthcare but can also accurately and through unsupervised learning predict and forecast epidemic outbreaks which can then be nipped in the bud.

7. Smart Record Keeping and insurance claims:
The better the maintenance of records the easier cashless hospitalization and treatment becomes. ML is taking very large strides with smart apps to enable smart health-records in real-time, better document classification and intelligent paperless claim settlements.

8. R and D and medical trials: ML has and bears high potential in these areas of medical care where innovation and data play a huge role.

9. Data Crowdsourcing: The smart apps powered through intelligent ML allows doctors globally to crowdsource their data resources making it easy to give a real-time diagnosis, treatment, and better healthcare facilities. Even operations and complex deliveries can now be conducted easily and safely.
10. Radiotherapy and medical imaging:
Radiology, laser treatments, pathology, gastroenterology, cosmetology and several disciplines of medicine are being innovatively modernized with smart algorithmic-based ML to make model-making of individual cases much easier to treat successfully.

In conclusion, ML is growing by the moment and now is the right time to get on board this transformation. If you want to learn Machine Learning and reap career benefits in the medical field then you need to have Machine Learning Training.

At Imarticus Learning, the mentored specialization in skill-oriented courses like ML is par excellence and comes with certification, skill-based training, personality development, and assured placements. Hurry!

The Winning Formula For Successful Digital Marketing in 2021

Posted on by Imarticus Learning

With the world on a partial standstill owing to the COVID-19 pandemic, companies and brands have relied extensively on digital marketing to reach their consumers. As a result, plenty of marketers have been asking the question: what is the winning formula for a successful digital marketing campaign in 2021?

Building traffic, lead generation and nurturing, and selling products on the websites – everything boils down to digital marketing. This might have led you to wonder how to learn digital marketing tips and hacks to overcome the intense competition in these pressing times. So, let’s find out how!

Kicking Off The Marketing

In order for a company to reach sales and revenue goals via digital marketing, there must be proper planning and research done before embracing a digital marketing strategy. This is since such research and planning will approximate your numbers and show you details about your market competitors. There are few things a brand can do before kick-starting its digital marketing:

  • Having a specific goal in regards to the products or services helps a company suitably allocate its resources within digital marketing by focusing on the needs.
  • Maintaining an annual marketing calendar can help keep track of the resources and also help the company use different strategies to tackle different months.
  • The synchronization of all the marketing channels within the company is important.

The Winning Formula In 2021

For any digital marketing campaign, businesses and owners have to find ways to market their products and services over competitors successfully. To get their hands on the digital marketing formula that works, businesses need to follow a few things:

  • A Simple Strategy: Establish a clear-cut strategy at the beginning of your digital marketing campaign.
  • Marketing Enhancing Branding: Nurture your brand before simply marketing the products. Just openly promoting the products will never lead to the brand or company having loyal customers. Building interest and nurturing the leads over a period of time is how digital marketing can be most effective.
  • Implementing AIDA: The Awareness, Interest, Decision, and Action (AIDA) model is a tried and tested formula that includes a simple translation for the various stages in a buyer’s journey. An exemplary implementation of the AIDA model can work wonders for digital marketing in 2021, more than a century after its inception.
  • E-mails Still Work: Even with the advent of social media, professionals with a career in digital marketing still fall back on e-mail marketing for better reach. With e-mail providing arguably the highest return on investments, an optimized e-mail marketing strategy is a prominent part of the digital marketing winning formula.
  • Embracing The Video Format: Experts tell us that videos will get more than 80% of the internet traffic in 2021. Thus, to reach and solve problems for your consumers, investing in smart and well-made videos which answer a lot of questions should be the way forward.
  • The SEO Age: Search engine optimization trends are essential for your brand. Using smart SEO tools can be effective for branding and content within digital marketing.

Apart from these, good content and the usage of local services ads (LSAs) are critical for successful digital marketing in 2021!

The demand for digital marketing is here to stay, and companies will want to take full advantage of this opportunity. While digital marketing may seem interesting, you might be wondering how to learn digital marketing? You can easily understand the hacks of digital marketing by enrolling in a digital marketing course online. Furthermore, gaining knowledge from such a digital marketing course online will help you have a successful career in digital marketing.

Decision Tree: How to Create a Perfect Decision Tree?

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Understanding the decision tree

A decision tree can be explained as a tree-model decision tool that highlights the decisions and their related consequences. It throws light on the outcomes of events, costs of resources, and utility. It represents choices and consequences related to various decisions regarding a particular scenario. It can be understood as a flowchart model with nodes representing different outcomes and scenarios.

It depicts a sequential and hierarchal decision-making model. From a broader perspective, a decision tree is a tool that shows a wide range of outcomes based on the decisions taken by the user.  A decision tree is also an important part of data science training and data science careers.

Applications and advantages of a decision tree

A decision tree is generally used to obtain all possible decision points and the associated outcomes. It is widely used in the finance and banking-related courses and segments for work related to the loan agreement, candidate assessment, data management, etc. It also helps to easily assess the productivity of any new product. Some of the most prominent advantages of a decision tree are listed below.

  • One of the most prominent advantages of using a decision tree is that it can be easily understood by people even without having special statistical knowledge. The graphical representation of decisions and their consequences can help to easily understand the scenario.
  • It helps to paint a clear picture between two or more related variables. It also plays an important role in highlighting the most significant variable when there are tons of variables to deal with. In addition to this, it also helps to analyze the impact of different variables.
  • A decision tree is simple to understand and create and it doesn’t require additional efforts by the user to prepare and present the data without any limit on the type of data being used. It also provides an effective way to find meaningful relationships between the variables.

 Creating the perfect decision tree

There are many variables associated with a given scenario that impacts the decision taken by an individual or entity and also have an influence over the final outcome. Let’s take a case where a bank has to sanction a loan to an individual.

Now to make a decision regarding granting a loan to this individual there is n number of factors that the bank has to consider some of which include monthly income, number of income sources, ability to repay the loan, credit history, collateral provided, etc.

Now all these will have to be put systematically in question form and every answer will have two or more consequences that will help to produce the tree. The basic structure of every decision tree includes a root node, an internal node, and a leaf node.

The root node denotes the starting point in the tree, it contains a question to be answered or a decision to be evaluated. The leaf nodes also contain similar questions to be answered and are connected by branches, which are simply arrows connecting different nodes. Each node has two or more nodes attached to it. A yes or no question will have two nodes “yes” and “no”. Here are a few tips to create a good decision tree.

  • Start by creating a rectangular shape on the left side to represent the first node or root node that contains the main question for which an answer is needed.
  • Now you need to add branches to represent different alternatives present and generally, it moves towards the right end of the page.
  • Enter the leaf nodes, leaf nodes are connected to the root nodes with the help of a branch and each leaf note contains a new question that is relevant to the main idea.
  • Add on more branches as per the needs of the decision-making process or idea validation, this has to be carried out until all relevant questions have been answered.
  • Terminate the branch when all questions have been answered and a decision has been made.

What can Ad Hoc Financial Analysis do to Leverage a Business?

Posted on by Imarticus Learning

If you have ever wondered what to learn in finance, then let us introduce you to ad hoc financial analysis. Business analytics in the earlier days saw static financial reports that relied on pre-built templates created by the IT department. Even though such reports present data in a standardized format and layout, decision-makers often require detailed information on specific data.

As a result, they had to keep going back to the IT or finance team to get a more standardized static report. It slowed down the analytics and reporting process and failed to offer consolidated data that could help solve challenging business situations. Now, that is where ad hoc financial analysis comes into the picture.

What is Ad Hoc Financial Analysis?

best Investment Banking course with placement in IndiaWhen you learn financial analysis, an important concept you will be introduced to is ad hoc financial analysis.

Ad hoc financial analysis is a review that is not pre-planned but is necessary to solve a pressing issue quickly. It involves preparing a financial report to analyze specific data that has not been considered previously or answer a particular business question that has not been addressed before.

With ad hoc analysis, decision-makers can extract insights they need without involving the IT department or requiring technical and coding skills. In addition, they are typically more visual than a static report and are ideal for non-technical users to understand.

Benefits of Ad Hoc Financial Analysis

Ad hoc analysis forms a critical part of financial analyst training and why not. It offers several benefits, all of which add up to a significant positive impact on the business.

Increased agility: An ad hoc analysis allows people across the enterprise to gather and examine data for answering specific business questions on demand. Hence, it speeds up decision-making to produce insights in a visually rich format.

Reduces workload of IT and finance departments: Since ad hoc analysis eliminates the involvement of IT and finance departments, the analytics and reporting process is expedited. Also, the IT and finance teams can focus on other daily tasks that require their attention.

User friendly: The sheer ease of using BI tools that facilitate ad hoc analysis and reporting makes it ideal for even the most non-technical user. Intuitive interfaces, dashboards, and single-use reports make the analytics as simple as it could ever be.

Customized Analysis And Reporting

Ad hoc analysis caters to a variety of business needs and helps in the preparation of customizable reports. Several BI solutions further ease the process by providing templates that limit data intake to only what is required.

Flexibility: Ad hoc analysis and reporting add a significant degree of agility and flexibility to an organization’s BI dashboards. Furthermore, ad hoc analysis and reporting tools let users easily navigate and extract relevant data to work with. Consequently, it quickens the process of gathering insights and presenting them in a format suitable for analysis.

Saves time and financial resources: The simplicity and functionality of ad hoc analysis and reporting tools eliminate the need for extra help with report creation and queries. Hence, a business can save valuable time, human effort, and finance that can be invested in other tasks.

financial analyst courseAre you looking for a financial analyst course to build your skills in core finance but unsure about what to learn in finance? Well, there are a few esteemed courses that can help you take the first step towards your professional goals.

These courses should teach you job-relevant skills, including financial statement analysis, equity research, modeling and valuation, and transaction execution. It should have an industry-oriented practical curriculum with real-world projects. Along with mock interviews, resume building, and placement services, you may also need expert guidance and mentorship throughout the course.

Related Article:

How Do You Perform A Financial Analysis

How Companies Apply Agile Methodologies and Practices in Business?

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Agile methodologies and practices have transcended the software development industry to impact almost all business sectors. The idea is to become an agile organization that’s quick in responding to marketplace and environmental changes.

Agile creates innovative, multidisciplinary, and cross-functional teams which encourage growth, boost self-organization, increase employee engagement, and break organizational barriers to nurture communication and collaboration.

While strategy analysis helps business analysts to identify and meet the strategic and vital needs of the organization, Agile methodologies and practices facilitate quick response to changes. Thus, both strategy analysis and Agile practices go hand in hand to help companies flourish.

Applying Agile Behaviour and Practices

The individuals making up the business team adapting to new mindsets and behaviors is the key to implement Agile practices. In addition, companies must advocate a supportive environment that allows individuals to respond better to change and increase business value.

Scheduling Daily 15-minute Stand-Ups

A great alternative to lengthy staff meetings, organizing 10-15 minute stand-ups daily helps in staying up-to-date with the team’s tasks and efforts. In addition, it encourages an atmosphere of transparency and accountability where team members answer three questions:

  • What have I done since the last stand-up?
  • What will I do today?
  • What challenges do I face?

Breaking Down Projects Into Iterations

Project management has become a critical aspect of most businesses. But in reality, most companies run into a crisis when the project becomes too large and complex to handle. The Agile methodology stresses breaking down the project into achievable chunks for better project management. Known as “iterations” or “sprints” in software development, dividing the work into measurable pieces helps estimate the project duration and reduces the employees’ stress.

Creating a Transparent Backlog of Prioritised Tasks

In Scrum, a product backlog is an orderly list of all that is needed for a product’s improvement. It’s part of the product development process where new elements can be added and reprioritized. Maintaining a transparent backlog gives an overview of the team’s work division and helps monitor both the short and long-term progress.

Partnering with End-Users for Continuous Feedback

Waiting until the end of a process to show your work to clients results in a significant waste of time and resources. What if the client is not satisfied with your work? You would have to go back and start from scratch, which is no less than a nightmare for the team. However, Agile methodology emphasizes constant feedback on the go. Hence, you can rectify mistakes at early stages, save time, and ensure that the project is heading in the right direction.

Tasks and Duties of an Agile Business Analyst

Agile business analyst coursRegardless of the business analyst certification, an Agile business analyst course must be prepared to fulfill the following responsibilities:

  • Focusing on understanding business problems
  • Ensuring that requirements align with current business needs
  • Being an expert in the business domain to be able to answer questions from the development team
  • Delivering products frequently and within the shortest timescale possible

How To Look for Business Analytics Courses in India?

If you’re looking for business analytics courses in India, there are quite a few courses available online. Among these, Imarticus offers a Post Graduate Program for Agile Business Analysts. It’s a comprehensive 6-month business analyst certification program to help individuals prepare for the responsibilities of being an Agile Business Analyst. The course is packed with hands-on training and multiple case studies to prepare professionals who can confidently face the competitive business world.

Cryptocurrency Mining: What It Is and How Blockchain is Changing Finance?

Posted on by Imarticus Learning

The world of Cryptocurrency is changing the way we do financial transactions. Cryptocurrencies are a digital currency that relies on cryptography to secure and verify transactions on its network.

Blockchain technology underpins the current Cryptocurrency boom by providing an open-source, distributed ledger system that can be programmed to record virtually anything with transaction data or information about ownership – not just Cryptocurrencies.

Let’s dive into some details!

What is Crypto-mining?

Cryptocurrency mining is a process comprising of adding transaction records to Cryptocurrency’s public ledger of past transactions. Cryptocurrency mining serves as a record-keeping service for Cryptocurrencies, which are used to keep track of who owns what and prevents fraud.

Mining makes it difficult for third parties to make counterfeit Cryptocurrencies because anyone can check the validity of digital currency with its distributed consensus system. Blockchain technology provides the backbone for Cryptos by enabling an open-source, decentralized ledger that does not use a central administrator or intermediary; this means that all data on the blockchain is publicly visible and encrypted, ensuring transparency and security in cryptocurrency transactions from start to finish.

How Crypto Mining Works?

Cryptocurrency Mining involves processes of solving complex mathematical problems to generate more Bitcoins. Cryptocurrencies are digital currencies that exist only as computer code and have no physical form, such as gold or paper money. Cryptocurrency mining generates cryptocurrency coins by running complicated calculations on computers.

Cryptocurrency mining can be done with home hardware and requires minimal technical knowledge. Miners create cryptocurrencies until they reach their maximum number of coins generated over time. A limit is set at the beginning of the generation process to have unlimited cryptocurrencies available to mine!

Mining for cryptocurrency has proven extremely difficult because it takes a lot of time, effort, electricity, and expensive equipment to mine cryptocurrency.

Reasons to Rely on Blockchain Technology

Blockchain technology provides an alternative solution for transferring money or valuables without going through a third party such as PayPal or Visa Inc., which can charge high fees to users who send payments across borders.

Blockchain training allows everyone involved in the transaction to see all of its details. Still, it does not show any personal information about either sender or receiver using blockchain-based transactions. This makes this type of transfer very safe and reliable!

How blockchain is transforming the Fintech Industry

The power of blockchain technology has resolved millions of challenges faced by the Fintech industry. A conjuncture of fintech & blockchain has helped to remove Intermediaries, data integrity, cut-off costs, created assets, and leveraged distribution. Blockchain has helped behold data privacy and authentication in a better way.

Everyday use of blockchain has been seen through the Australian Securities Exchange, which recently executed a specific project and transferred its post-trade clearance and settlement through blockchain technology.

Grow with Fintech Courses from Imarticus Learning

The crypto & blockchain craze may make some aspire for a career in fintech. This calls for learning through a Fintech course or cryptocurrency course. Imarticus Learning offers courses ranging from blockchain and crowdfunding to peer-to-peer lending and Robo-wealth-managers.

To be professional, well-versed in fintech, you need to look for fintech courses online that enhance your knowledge of Blockchain. MBA in Fintech can boost your knowledge of blockchain & cryptocurrencies.

At Imarticus Learning, online education is framed for in-depth learning about Trade Finance, Blockchain, and cryptocurrency. Designed by industry experts, the programs give the best insights into business, communication, domain expertise, and management skills.

Reach out now through the Live Chat Support system or seek virtual assistance for course details!