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The rise of Quantum computing in Investment Banking

Posted on by Imarticus Learning

The rise of Quantum computing in Investment Banking

Investment banking is one of the most complicated financial mechanisms, serving numerous purposes and businesses. It is a special branch of banking operations providing financial consultancies and services. Hence, there is a great emphasis by students and professionals to learn investment banking. With such a demand, there are many popular investment banking courses to cater to such rising needs.

Such financial services require the capacity to weigh and measure a range of potential outcomes, which requires the usage of complex models and algorithms based on calculating probabilities. However, the current scenario involves dealing with a massive amount of data for enhanced accuracy of probabilities. This helps in maximizing profitability and improved the quality of financial services, hence the need for better technology.

What is Quantum Computing?

Quantum computing is simply a new technology based on quantum theory principles. It relies on the quantum mechanics law to perform complicated data operations. Traditional computers make use of bits as their basic unit and binary system for representing information, however, quantum computers will store this information in qubits. 

According to quantum physics, certain properties of particles can exist in two states or a combination of two states simultaneously. This is in contrast to traditional binary constraints, where the operating system operates on 1s and 0s. A Quantum system can be 1 and 0 or a mixture of 1 and 0, all at the same time. 

Thus, quantum computing has the capabilities of extending the capacity limits of traditional high-performance systems. It will improve the algorithm efficiency substantially. 

Quantum Computing for Investment Banking

Quantum computing is an emerging technology and has immense potential that has not been harnessed completely. However, it has started sparking interest in many businesses, including investment banking. With major players already making their way in developing and experimenting with this technology, it will soon become an important component of long-term strategies of investment banking. It is being incorporated as an important topic in Investment Banking Courses online in order to learn Investment Banking.

It has the potential to increase the speed of transactions, trades, and data processing. Some of quantum computing’s biggest contributions would include improving the quality of simulations, resulting in better risk management. All of this would also have a positive outcome in reducing the processing cost and time with respect to classical computer systems. Optimization capabilities would see an improvement.

Even though full-fledged, end-to-end commercial applications are years away, it is expected that quantum computing would be a game-changer. It is important for learners to gain knowledge about quantum computing as an integral part of Investment Banking courses.

How can Quantum Computing be Utilized in Investment Banking?

Following are some use cases where quantum computing would positively affect investment banking:

Prediction and Targeting

Customers of financial services demand products and services that are personalized according to their ever-evolving behavior and needs. Similarly, fraud detection systems have to cope with the current dynamic situations. Quantum computers offer superior data modeling capabilities that will discover patterns and make predictions with enhanced accuracy.

Optimization of Trading

Quantum technology would enable the trading division to include a response to real-life market movements and investor aspirations. This will make portfolio optimization cost-effective and more precise.

Risk Profiling

Improved data-processing capabilities of quantum systems will help in managing complex risk-profiling demands along with increasing regulatory processes with increased efficiency.

Improved Operational Processes

Investment Banking organizations can re-align their operational processes including asset management, treasury management, compliance, onboarding customers, decisions regarding KYC norms, and others

Way Forward

There are associated risks as well including the absence of quantum-safe public-key cryptography exposing the financial systems to systemic failures. However, challenges will continue to exist, but the enormous benefits have to be balanced along with it. It places an important highlight on interested learners to learn Investment Banking along with the new emerging technologies. 

Taking a proactive approach, certification for Investment Banking Operations is available, which is an industry-oriented Investment Banking Course. This will provide a detailed understanding of job-relevant skills along with an opportunity to launch a career in investment banking. The industry certification, practical learning, and a curriculum aligned with the industry will provide a boost to the learners’ resumes and skill sets. 

Interested learners can contact us through chat support, or drive to our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Ways in which you can boost your supply chain management strategies

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The supply chain is the backbone of any business, and visibility is key to ensuring its efficiency. There are many ways to improve visibility in your supply chain, including using technology, data analytics, and collaboration.

Technology can be used to track assets and inventory levels, as well as to monitor supplier performance. Data analytics can identify patterns and trends in data, which can help you make better decisions about your supply chain. Collaboration with other businesses in your supply chain can also improve visibility and communication.

Need for Streamlined Processes in Supply Chain Management

The need for streamlined processes such as automation, standardization, and process mapping is driven by the desire to improve efficiency and effectiveness within the supply chain. Companies can minimize errors and optimize performance by automating tasks and standardizing procedures. In addition, process mapping provides a visual representation of the workflow, allowing for easy identification of bottlenecks and potential improvements.

Factors to consider when upgrading strategies for supply chain management?

When upgrading strategies for supply chain management, there are several key factors to consider, including:

  1. Building Strong Relationships: It is important to build strong relationships with suppliers, manufacturers, distributors, and customers to ensure smooth and effective communication, increase trust, and reduce the risk of disruptions. 
  2. Managing Risk: Supply chain management strategies should include risk management plans that consider potential disruptions such as natural disasters, economic downturns, and changes in government regulations. 
  3. Embracing Innovation: Supply chain management strategies should also embrace innovation and technology, such as artificial intelligence, blockchain, and the Internet of Things, to improve visibility, increase efficiency, and reduce costs. 
  4. Sustainability: A sustainable supply chain strategy should consider the environmental and social impact of sourcing, production, and distribution and aim to reduce waste and emissions and improve workers’ lives in the supply chain. 
  5. Cost Optimization: Strategies for supply chain management should aim to optimize costs, including reducing costs associated with materials, transportation, and labor while maintaining quality standards. 
  6. Agility and Flexibility: Supply chain strategies should be agile and flexible, allowing organizations to adapt quickly to changing market conditions and customer needs. 
  7. Data Analytics: Strategies should also include data analytics to provide insights into supply chain performance and help inform decision-making and continuous improvement initiatives.

Tips for students to build a career in Supply Chain Management?

Here are some tips for students interested in building a career in supply chain management:

  1. Gain a solid understanding of the fundamentals: Study the basic concepts of supply chain management, including logistics, procurement, operations, and production planning. 
  2. Develop technical skills: Acquire skills in data analysis, project management, and technology such as enterprise resource planning (ERP) and supply chain management software. 
  3. Gain practical experience: Participate in internships, co-op programs, or work part-time in a supply chain-related role to gain valuable experience and make industry connections. 
  4. Network with industry professionals: Attend industry events, join professional organizations, and connect with supply chain professionals to build your network and learn from experienced practitioners. 
  5. Stay up-to-date with industry trends: Read industry publications and follow relevant organizations on social media to stay informed about current trends and developments. 
  6. Focus on continuous learning: Pursue additional education and certifications to continue developing your knowledge and skills and demonstrate your commitment to the field. 
  7. Develop soft skills: Soft skills such as communication, problem-solving, and collaboration are also important in supply chain management and can help you build effective relationships with colleagues and partners. 
  8. Seek out mentorship: Find a mentor who can provide guidance and support as you build your career in supply chain management.

Build Strategic SCM Career with Imarticus Learning:

If you want to build a successful career in the Supply Chain and Operations industry, consider enrolling in the Chief Supply Chain and Operations Officers online training from Imarticus Learning. This 10-month leadership program at IIM Raipur is designed for senior supply chain professionals. You will gain a comprehensive set of strategic, operational, personal, and technological skills to become an effective SCM manager.

During the program, you will have the opportunity to collaborate with other professionals in your field and embark on a unique learning experience. The course includes a simulation exercise where learners work on live-global projects. This supply chain management strategies course provides hands-on experience in balancing the responsiveness and efficiency of a supply chain.

Course USPs:

  • Develop leadership skills and prepare for global interactions
  • Become expert in SCM and make strategic decisions
  • Gain insight from pioneering SCM leaders
  • Opportunity to connect with alumni at IIM Raipur.
  • Join the Alumni league of Professionals at IIM Raipur

For further details, contact the Live Chat Support system or plan a visit to one of our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

How impactful is python in machine learning

Posted on by Imarticus Learning

Python is one of the world’s most widely used and popular programming languages. This is because, in many areas, it excels, for instance, in creating video games, embedded programming and even manufacturing mobiles. Also, Python is essential for machine learning (ML) and artificial intelligence (AI). In fact, all the data science online training programmes have a huge portion of their courses allotted for just Python. Notably, a good machine learning certification course gives a detailed knowledge of Python. Read on…

Why is Python important for machine learning?

Data science and machine learning course

The partnership of Python and machine learning has made its place in data science and IT. Python is used for various tasks, from software application development to web development. Here are some reasons why Python is important for machine learning: 

  • Flexibility

Python is an extremely flexible language, and for this reason, it can be used with other languages as well. It allows developers to choose between scripting or OOP. Python also does not need the recompilation of source code. So, it is very easy to see results, and the operations are also easily done. Thus, there is no room left for errors.

  • Very rich ecosystem

Python is a high-level coding language with a vast ecosystem of frameworks, tools and libraries. These libraries and tools are equipped with pre-written codes that help users carry out a large number of functions. This also saves a significant amount of time while coding.

  • Consistency and simplicity

The codes written in Python are concise and readable. Artificial intelligence (AI) and machine learning (ML) often have complex algorithms, but Python’s simplicity enables one to create reliable systems. It is straightforward and easy to understand, and hence easy to learn. 

  • Independence of platform

This is a binary platform and an independent programming language. Python can run on various platforms and different software architectures. One can write the program, compile and then run it on different platforms. Python runs on various platforms like Macintosh, Windows, Linux and macOS. Integrating other languages like C++, Java and R, with Python is also very easy.

  • Strong community support

Python has very strong community support, although it is a language that is open source. It is free and has a large number of very useful tools and libraries. Developers can also discuss their problems in forums or chat with other developers to find some solutions. Python also has corporate support with companies like Google, Instagram, Facebook, Quora and Netflix.

  • Great data visualisation

The presentation of data is extremely important in machine learning and data science. Python has been really helpful in presenting specific data in a human-readable format. Python libraries have great data visualisation tools, which help set up the data, figures, parameters and plotting. These kinds of libraries help present the data in different forms, like histograms, images, line plots, contouring and pseudocolour, three-dimensional plotting, and multiple subplots and paths.

But, why Python?

Python is one of the foundational languages in machine learning. However, the projects are different from a typical software project, which signifies that deep knowledge of the subject is required. The crux of having a career in machine learning is by knowing Python because it is both flexible and stable. 

It is very important to have the right sets of libraries and an environment well-structured for developers looking forward to solving programming challenges. This is where the pre-written sets of libraries have a huge part in helping them with the sets of frameworks and libraries to choose from, for example:

  • Keras – Used for deep learning and machine learning models
  • NumPy – Used for data manipulation and data cleaning
  • Scikit-learn – Used for data modelling
  • OpenCV – Used for image processing
  • Seaborn – Used for data visualisation
  • Caffe – Used for image processing purposes

It becomes easier for developers to create a product faster with these solutions. More so, the team of developers need not waste time searching for libraries which suit their project the best. The use of an existing library is the best for implementing further changes.

It is also observed that around 150,000 online repositories have packages which are custom built for Python. For example, Python libraries like NumPy, Matplotib and SciPy can be easily installed in programmes that run on the language.

Conclusion

The implementation of Python in different kinds of machine learning projects and various other tasks has made the work easier for data scientists, machine learning engineers and developers. Python can be used to compose the available data and analyse that, which makes it the most popular programming language in data science. The IIT Roorkee data science and machine learning course offered by Imarticus is an excellent programme that helps you to start a career in machine learning with an intricate knowledge of Python. 

What is the importance of aggregate planning in the supply chain

Posted on by Imarticus Learning

Aggregate planning for the entire supply chain could be an alternative if your manufacturing facility is inefficient and poorly planned. If a manufacturing company wants to increase operational efficiency, it must prioritise aggregate planning in supply chain management (SCM).

best supply chain management and analytics training

Aggregate planning methods can be useful when trying to predict supply chain needs several months in advance. With this method, you can see the big picture of the materials you will need to produce all the goods that people want to buy.

To receive bulk discounts and avoid shortages, it is best to place orders for the entire planning period. Knowing the ins and outs of aggregate planning and the supply chain is crucial before introducing it into your operations.

Examples of aggregate planning in supply chain management

The following are all examples of aggregate planning in SCM:

  • Good demand prediction
    You’ll need to know the demand size for your goods before you can plan when to order supplies. Future demand for your products can be accurately anticipated by utilising historical data. This is in addition to the trends and predictions made by experts in your field. You will need the resources indicated by your forecast. This will tell you how much to produce to satisfy the demand and maintain a constant rate of production.

  • Production of goods and services

    It is proportional to the accessibility of necessary resources (equipment, labour force, efficiency). You may check with your production department to find out how many products could it make within your time range. This might not be adequate to meet the needs of the public. But, making use of available production resources can help you set reasonable product output goals. Consider the possibility of worker and machine absences also.

  • Constraints on available funds

    Investing in something is fine, but you need to remember that your spending plan has limits. Your options may be constrained by your budget in certain situations. Think about the cost of interest for any loans you might need to start up your business. To sum up, save up enough money to cover your future expenses.

The significance of aggregate planning

Achieving the organisation’s long-term goals depends in large part on aggregate planning.

  • This leads to a more contented and joyful workforce.

  • Lessen fluctuations in staffing levels.

  • Determines available funds in the near term.

  • Contributes to optimal space utilisation.

  • Accomplishes organisational aims and objectives.

  • Aids in balancing supply and demand.

  • Reduces expenditures related to varied stocks, hence minimising stocking costs.

  • Maximises service to clients by balancing demand and supply, and reduces wait times.

  • Provides higher value to customers.

  • Makes the most of available resources in manufacturing.

  • Utilises the potential of various tools.

  • Keeps production rate fluctuations to a minimum.

  • Reduces a company’s overall operating expenses and boosts its bottom line so it may better pursue its objectives.

Strategies to implement aggregate planning

If you are facing a problem with aggregate planning, there are multiple strategies you can adopt. Here are some that can help:

Level strategy

The level method seeks to maintain steady output and headcount. Businesses must have accurate demand estimates to determine whether to ramp up or slow down production. This is in response to seasonal fluctuations in client demand. A level strategy provides staff consistency. One of the disadvantages of a level strategy though is an increase in backlogs and stocks.

Chase tactics

The chasing strategy seeks to dynamically balance supply and demand. The advantages of a chase strategy include having fewer goods on hand and fewer late jobs. The disadvantage is a drop in output, quality, and morale at work.

Using a complicated method

Hybrid strategies aim to strike a middle ground between level and chase tactics.

Before you begin your aggregate strategy

There are a few things to think about before beginning an aggregation plan. Have a look:

  • Knowing the goals of the overall strategy and the fallout if those goals aren’t met is a prerequisite.

  • Knowing how many orders make up your aggregate plan, and whether or not those orders will conflict with one another.

  • Determining which demand plans will not interfere with your aggregate strategy.

  • Thinking about whether or not the benefits outweigh the costs of implementing a comprehensive strategy.

The term “aggregate plan” is used to describe a strategy that is broad enough to apply to multiple industries. The change could be little, like introducing a new line of products, or significant, like expanding into an entirely new market.

Conclusion

Are you interested in understanding the basics of operations and supply chain management? Then, Imarticus Learning has just the right supply chain management course in association with IIT Roorkee. With this course, you can learn the basics and take your organisation to the next level. Contact their representative for more details.

The Changing Roles of the Modern CFO

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As the business and the market environment remain dynamic, the role of modern chief financial officer (CFO) is subject to evolve. The evolution is continuous and covers a gamut of areas, from presenting annual reports and profit numbers to customer retention and looking after the changes in business continuity. 

chief financial officers course

The incorporation of crisis management with technical evaluation has increased rapidly to make the market more robust and reliable. Considering this, the CFO roles have emphasised adapting digital technology to promote productivity and efficiency. 

Let’s talk about the emerging CFO roles in modern-day financial markets and how it has been helping immensely in the field of financial leadership. 

Who is a CFO? 

A CFO or a chief financial officer is a top-level executive of an organisation. They are solely responsible for managing the company’s financial actions. The duties include tracking cash flows, supervising the company’s financial planning, and analysing its strengths and weaknesses. CFOs propose corrective actions to improve organisational standards by going through this analysis. 

What are the changing roles of a modern CFO? 

Besides playing the financial leadership role, a modern-day CFO is primarily responsible for capital budgeting. However, the secondary functions of a CFO are subject to change constantly. Let’s see what they are: 

  • Building the right executive team: Modern CFOs are involved in every operation of the company. Be it sales, marketing, or development, CFOs are responsible for overseeing and understanding financial implications. Thus, establishing a strong executive team helps a CFO control the areas of business expertise. 
  • Ensuring books are audit-ready: Since the market demands speed, transparency and accuracy, companies’ stakeholders expect the same for the business’ operational results. Hence, a CFO would be responsible for expanding his/her executive team alongside accounting teams and experienced staff members to ensure the authenticity and transparency of audits. 
  • Creating a convincing business case before going public: The role of a modern CFO is to be analytical and critical about different alternatives, which will help the management decide whether going public is feasible for the company’s image. A CFO ensures that the company has a proper strategic operations partner before going public.

Significance of the changing roles of CFO 

The roles of a CFO have changed substantially over the years. According to the Wall Street Journal and Deloitte, CFOs have adopted skills akin to actuaries.

Let’s look at the impact of a CFO’s changing roles:

1. Effective decision-making 

One of the key responsibilities of a CFO is to make sovereign decisions keeping in mind the rapid changes in market conditions. CFOs must take informed and concise decisions that adhere to the company’s goals and market conditions. In a constantly evolving landscape, CFOs must have determination and self-assurance to make the most challenging decision and stand their ground.

2. Agility and resistance

CFOs must be confident about their decisions. The decision-making procedure is solely dependent upon the changing market conditions and making the right call during the time of need. The changing dynamics of a CFO’s role have made it essential for these financial leaders to monitor the market conditions closely. They must adhere to methods to change courses and preserve financial stability to bring massive success to the business. 

3. Curious re-evaluation 

Curiosity is a must-have quality of a CFO. Further, a CFO must constantly ask questions related to procedures, challenges and personnel. This agile mindset would further guard against any discrepancy and show the eagerness to explore different methods to get stable results and predict the future by mitigating risks. 

4. Imagination and a transformative model

Imagination is one of the key components for CFOs to bring transformation to an organisation. Curiosity and imagination go hand-in-hand when constantly re-evaluating personnel, procedures and technology to keep up with the market changes. It also entails the willingness to ask oneself questions about any situation and prepare to make changes necessary to stay on track. 

Conclusion 

The evolution of the roles of a CFO has a profound impact on an organisation’s success. The agile mindset of the CFOs promotes robust decision-making practices to facilitate the company’s growth. 

If your goal is to round out the skills of a CFO, then check out Imarticus Learning’s Postgraduate Certificate Programme for Emerging CFOs by IIT Indore. With this programme, you can master new-age financial skills through live online and on-campus training. 

Artificial Intelligence – How certification course can help boost your AI skills

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Artificial Intelligence (AI) is rapidly transforming how we live and work. As businesses increasingly adopt AI technologies, the demand for skilled professionals in this field is skyrocketing. With the potential for high-paying jobs and a wealth of opportunities, AI is quickly becoming the most sought-after skill in the job market. 

With so many new technologies and concepts emerging, how can you stand out and stay ahead of the curve? The answer lies in certification. In this blog, we will explore how a certification course in AI can give you the skills, knowledge, and confidence to excel in this dynamic and growing field. 

From building a solid foundation in AI principles to learning the latest tools and techniques, a certification course will help you stay ahead of the curve and take your career to the next level. So, whether you’re a student, a professional, or just someone who wants to dive into AI, read on to find out why a certification course can help you achieve your goals.

What is Artificial Intelligence?

Artificial intelligence, or AI, is the branch of computer science that deals with building machines. Imagine a world where machines can understand natural language, see and recognize objects, play chess better than humans, and even drive cars independently. This is the world of AI.

Siri and Alexa are virtual personal assistants powered by AI, capable of understanding and responding to voice commands. They can set reminders, play music, answer questions, and tell jokes. Another example is self-driving cars, which use AI to navigate roads, avoid obstacles, and make split-second decisions to ensure the safety of passengers and other drivers.

AI is also revolutionizing the medical field with systems that can analyze vast amounts of medical data and help doctors diagnose diseases more accurately. In the financial sector, AI algorithms can analyze stock market trends and make predictions that allow investors to make informed decisions.

In short, AI has the potential to transform almost every industry and make our lives easier and more convenient. With its ability to learn and adapt, AI has the power to solve some of the world’s most pressing problems and shape the future in ways we can’t even imagine. So, if you’re looking for an exciting and dynamic field to get involved in, consider exploring the world of Artificial Intelligence!

How to learn Artificial Intelligence?

Artificial Intelligence course

Learning Artificial Intelligence (AI) has never been easier and more accessible. Anyone can start their AI journey with many online resources, tutorials, and courses. 

How to get started:

  • Build a solid foundation in mathematics, including linear algebra, calculus, and statistics. These subjects provide the mathematical underpinnings of AI and will be essential for understanding advanced concepts. 
  • Learn a programming language commonly used in AI, such as Python or R. Some online tutorials and courses can help you get up to speed with these programming languages. 
  • Familiarize yourself with the basic concepts of AI, such as machine learning, computer vision, and natural language processing. You can do this by taking online courses, reading books, or following tutorials. 
  • Practice your skills by building small AI projects. This will give you hands-on experience and help you understand how AI algorithms work in practice. 
  • Stay up-to-date with AI advancements by following industry leaders, attending conferences, and participating in online communities.

AI is a rapidly growing field with unlimited potential. So, to make a difference, learn something new, or have fun, start learning AI today. 

Discover IIT artificial intelligence and machine learning course with Imarticus Learning.

Are you prepared to advance your career in a new tech-focused field? Enroll at the E & ICT Academy for their comprehensive IIT AI ML course! You can get ready for the roles of Data Scientist, Data Analyst, Machine Learning Engineer, and AI Engineer with this intensive 9-month program. 

Through real-world projects from various industries, you will develop a solid foundation in data science concepts and work with industry experts to learn how to apply machine learning, deep learning, and AI techniques practically. 

Course Benefits For Learners:

  • Students work on 25 real-world projects to develop real-world business experience and prepare for a rewarding data science career.
  • With a certificate recognized by the E & ICT Academy, IIT Guwahati, and a credential supported by Imarticus Learning, students can attract employers’ attention and demonstrate their skills.
  • Students who complete this IIT artificial intelligence course land lucrative jobs in the machine learning and artificial intelligence sectors.

Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch via the chat support system.

Learn Python Online In 2022: Zero To Mastery

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Python is a high-level programming language that Guido van Rossum created in 1989. It’s also great for beginners because it has a simple syntax that makes it easy to write code. Python is an open-source language, and you can download it for free. You can use Python on your computer or in the cloud! 

Python is the most popular language for data scientists and AI. A common myth is that it’s hard to learn Python, but this guide will show you how to learn Python online in 2022!

How to learn Python online?

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Python is an interpreted, object-oriented, high-level, dynamically semantic programming language. It is particularly appealing for Rapid Application Development and for usage as a scripting or glue language to tie existing components together due to its high-level built-in data structures, dynamic typing, and dynamic binding.

You can learn Python online, but you might want to consider taking a class. There are many great ways to learn Python online.

Here are just a few:

  • Python tutorials
  • Python documentation
  • The Python community (forums and meetups)
  • Books and videos on YouTube.

Here are a few reasons to learn Python in 2022

If you’re just getting started with coding and are wondering whether or not you should learn Python, here are three reasons why it’s a great choice:

  • Python is easy to understand. The syntax is relatively simple compared to other programming languages. There are also plenty of tutorials available online that explain how to use its various functions.
  • Python is suitable for general-purpose programming. Whether you want to write scripts for your personal computer or build web applications on top of the Django framework, Python has all the tools necessary for creating basic software programs in various domains like science and finance.
  • Python can improve your coding skills across multiple languages: Most programming languages have used the concepts behind object-oriented design since their creation in the 1990s. So once you’ve mastered using them with Python’s syntax structure, it should be reasonably easy to switch to another language.

Bonus reason to learn Python as a data scientist.

Another great reason to learn Python is that you can use it for data analysis and machine learning. If you’re looking for a language that can help you with your career in data science, then Python is the best choice for many reasons:

  • It’s easy to learn and use
  • It’s easy to read
  • It’s easy to maintain
  • It’s easy to share (useful for collaboration)
  • Python is easy to scale

Discover Python Training courses with Imarticus Learning

We build predictive models that improve business outcomes by learning how data science gets applied in the real world. This ensured placement program is appropriate for professionals and recent graduates who wish to pursue a career in data science and analytics. 

Course Benefits For Learners:

  • Learn how to use Tableau to master the abilities of Python for data science, SQL, data analytics, machine learning, and data visualization.
  • 25 in-class, real-world projects will help you master data science abilities. Participate in hackathons, capstone projects, and mock interviews to develop practical skills.
  • Our curriculum includes capstone projects, real-business initiatives, pertinent case studies, and mentoring from relevant industry professionals to assist you in becoming a skilled data scientist.

How does sales and operations planning work in a Supply Chain

Posted on by Imarticus Learning

How Does Sales and Operations Planning Work in A Supply Chain

Meta Description: Benefits of sales and Operations planning in the supply chain. Know more about a career in supply chain and operations

What is sales and operations planning?

One of the most challenging aspects of a supply chain is sales and operations planning. However, it is also a crucial variable on which the success of a business depends. The main goal of the planning is to create a unified business plan. Those planning to have a career In Supply Chain and Operations need to learn it works.

The sales and operations planning gets inputs from teams like:

·        Manufacturing

·        Distribution

·        Marketing and

·        Finance

Businesses combine these inputs to simplify the process for stakeholders. It also helps them to create a support system for the same.

Need for sales and operations planning

The goal of sales and operations planning is to mix the components and activities of demand and supply. It should revolve around a consensus-based plan. Building consensus is easier with planning in place. If we don’t bring the team together under planning, it is impossible to make a successful design.

Thus, sales and operations planning provides a holistic view of every component. Then collective adjustments and inputs are made. This collaboration creates a resilient and shock-proof supply chain. Which, in turn, results in the success of a business.

Steps to create sales and operations planning

Generally, senior management works on sales and operations planning. Following are the steps in the process:

1. Forecasting

Data and trends are the major components of sales and operations planning. At first, data on the sales history is collected. During this stage, it is important to consider internal and external variables. These components affect sales like customers, competition and industry demands.

Then the data aids to forecast future sales. It helps to analyse and identify trends. It then builds the process in a supply chain based on the forecast.

2. Demand planning

Demand is a major factor that runs sales and operations planning in a supply chain. In this process, cross-collaboration is important. After the forecasting analysis, businesses adjust the inventory and customer service policy. The adjustments depend upon factors like demand and the source of the product.

According to the analysis of revenue and units, the businesses measure demands.

3. Supply planning

Another major aspect of sales and operations planning is sales planning. During this process, teams assess the capacity of the supply chain and products. The finance, operations and materials teams meet for the assessment. They determine the issues related to

·        Manpower

·        Machinery

·        Suppliers and

·        Distributors

During this process, the teams create a supply chain plan to check the limitations of capacity. They also work to come up with ways how to deal with the problems.

4. Pre-sales and operations planning

The first meeting of planning in the supply chain is crucial. Various teams take part in this process namely:

·        Sales

·        Finance

·        Marketing

·        Materials

·        Operations

·        Product management

·        Human resources

The teams cooperate and compare the forecasting analysis of the demand and supply components. They also discuss the financial impact of both plans.

5. Executive sales and operations planning

The executives of teams meet to analyse the demand and supply plans. They also go through forecasts and recommendations. In the meeting, the executives approve the final sales and operations plan.

6. Finalization and implementation

After approval of the plan, the teams work on implementing it. Then, they assess the factors for implementation. It is important to assess the sales and operations planning regularly. It helps to find faults within the processes.

Benefits of sales and operations planning in supply chain

An integrated and collaborative sales and operations planning ensure:

·        Increase in responsiveness

·        Reduction in operating cost

·        Increase in productivity

·        Increase in revenue

·        Increased transparency between departments

·        Improvement in inventory management

·        Creation of a resilient supply chain

·        Demands of customers are met on time

·        Improvement in budget and sales forecasting

·        Improvement in decision-making about demand and supply

·        Comprehensible understanding and management of a product at every stage

·        Improvement in sales and customer experience

Challenges of sales and operations planning

·        Understanding the complexity of the processes

·        Choosing right sources

·        Maintain transparency between departments

·        Coordination between all stakeholders

·        Scaling progress of a current process

·        Lack of coordination while taking important decisions

·        Usage of all data and analytics

Career In Supply Chain and Operations

For a career in supply chain and operations, you will need the best leadership program for supply chain professionals. Learners can choose from a wide variety of jobs like

·        Client Management

·        Consultative sales

·        Program Management

·        Consulting

·        Supply chain operations

·        Manager Technology

·        Executive

·        Manager Program Management

Why choose Imarticus Learning?

Imarticus Learning offers a certification program for Chief supply chain and operations officers. The program is offered in collaboration with IIM Raipur.

The 10-month-long program is offered in online mode. The 6-module program has benefits for the learners such as:

·        C-suite training

·        SCM Globe simulations

·        Masterclasses by industry experts

·        Campus immersion

·        IIM Raipur alumni status

To know more about how you can have a Career in Supply Chain And Operations, click here.

7 Corporate Training Tips to Create an Amazing Learning Experience for Employees

Posted on by Imarticus Learning

A study found that about 87% of millennials find workplaces that offer learning and development more appealing. In contrast, about 59% of the employees have claimed that they have not received any training at their workplace. Instead of that, they had to rely on self-training to learn relevant skills. Now, since it is established that there is an increased demand and lack of supply of Corporate Learning and Development Programs for employees, it becomes necessary for companies to understand why training is important. Companies must also learn how to boost Corporate Learning. This creates a great learning experience for employees.

Importance of corporate training

Future Of Corporate Training

Corporate Learning and Development Programs help employees to identify challenges and solve them. They learn to design important strategies for business growth. It develops effective leadership leading to the efficient working of the teams.

7 Corporate Training Tips to Create an Amazing Learning Experience for Employees

1. Learner analysis

Companies must analyse learners before and during Corporate Learning programs. There are several benefits of analytics:

Pre-analysis helps organisations to understand the area of focus.

  • It declutters the program by removing unnecessary tools.
  • It aids companies to understand the need of their employees.
  • The learning can be tweaked to ensure that the learners stay interested in the program.
  • It improves the effectiveness of Corporate Learning and Development Programs.

2. What is the right time?

The demand for skills changes with time. Thus, companies should roll out a corporate learning program according to the demand for a skill or tool. This ensures that the employees are up-to-date with market trends. Timely training is effective training. However, sometimes it could be difficult to do so at a short notice. For this, Imarticus Learning has 20+ pre-designed programs for finance, analytics, tech and marketing professionals.

3. Design and composition of training material

Designing the training material is important because it ensures that nothing is missing from the program. Designing should be done in such a way that the employees can have control over their learning. It should have interactive and practical elements so that employees can work together as a team.

4. Align with a business objective

Developing Learning strategies could help companies to understand what needs improvement. It helps to know where the learning gaps lie and work on them accordingly. This step should be done before finalising the training program.

5. Flexible learning

Mandatory is a word that does not encourage the employees into a corporate program. Also, it interferes with the work schedule of the employees. Therefore, a training program must be designed to be flexible. A blended strategy mixed with old-school learning and online training could be the solution to add flexibility.

6. Rewards and recognition

Workplaces have a hectic work schedule. It is hard to encourage employees to attend any training program outside of their assigned work. Thus, companies must ensure that employees are motivated to embrace it. Rewards such as bonuses, office perks etc could help the employees get motivated.

7. Evaluation and feedback

After the completion of training, the job of the trainer might be complete, but not of the companies. A company must evaluate the training program and get feedback. It is important because it helps to understand the effectiveness of training and how it has helped with the growth of the company as a whole.

Why choose Imarticus Learning

Imarticus Learning has created a range of corporate learning programs for professionals to upskill while they are in the office. It allows learning from the best in the industry and experts. It also has solutions for companies that often struggle with training programs. There are 20+ upskilling programs to train the employees.

Imarticus Learning works with EC Council, Moody’s Analytics, KPMG, IIM Lucknow and many others to mobilise 45,000+ career transitions. It has over 10,00,000 learners and has worked with companies like HSBC, Goldman Sachs, Capgemini and numerous industry leaders.

Debt Capital Markets: Meaning and Overview

Posted on by Imarticus Learning

Debt capital markets (DCMs) refer to the financial system that enables the issuance, distribution and trading of various debt instruments. They play a crucial role in the global economy by allowing businesses and governments to raise capital by issuing debt securities.

Besides, DCMs are essential in carrying out financial management, which is the business function concerned with the investment planning of financial resources to attain greater business success and return on investment (ROI). 

In this article, we will take a closer look at what DCMs are and provide an overview of their operations.

How do DCMs function? 

Capital Markets course

DCMs are combinations of investment banking and trading or sale of bonds. They are the platforms most business organisations use when they lack funds and are in need of an immediate supply of money.

Such organisations trade bonds and other debt securities to generate capital.

These business entities must pay interest on the securities as the markets are essentially ‘lending’ capital.

The operation of a DCM is a complex process that involves several key players, such as:

Issuers: They are corporations, governments, or other business entities that require an influx of capital by issuing debt securities.

Underwriters: They are the financial institutions that act as intermediaries between issuers and financial institutions or investors. They underwrite the issuance of debt securities, which means they purchase securities from issuers and sell them to financial institutions. Underwriters also assist issuers in determining the optimal terms and conditions for their securities and in pricing and marketing securities.

Investors: They are individual investors, institutional investors, or hedge fund investors who purchase debt securities to generate a return on their investment.

Rating Agencies: They provide credit ratings for debt securities to assist investors in the creditworthiness of issuers and the risk associated with securities. Moody’s, Standard and Poor’s, and Fitch Ratings are some rating agencies.

Regulators: Regulators, such as the Securities and Exchange Commission (SEC) in the United States, oversee the operations of debt capital markets to ensure compliance with regulations and to protect the interests of investors.

The debt capital market plays a vital role in financial management. It is important to understand the basics of DCMs for issuers and investors alike, as it provides a framework for effectively accessing and utilising these markets to achieve their financial goals.

The future of DCM ━ Trends and predictions

As the world continues to evolve, it is important to understand the trends and predictions for the future of DCMs. Let’s explore some of the major ones:

  • Increased use of technology 

The rise of fintech and blockchain technology is revolutionising the way debt securities are issued, traded and settled. This is making DCMs more efficient and accessible to a wider range of participants, which include small- and medium-sized businesses.

  • Growth of sustainable finance 

Investors are becoming increasingly conscious of the environmental and social impact of their investments, which in turn is leading to a rise in demand for sustainable debt securities. This trend is expected to continue in the coming years as more and more investors seek to align their investments with their values.

  • Increase in ESG bond issuance 

ESG bonds are debt securities that are issued to finance projects and activities that have a positive impact on the environment and society.

This trend is expected to drive innovation and competition in DCMs, leading to better and more impactful investments.

  • Rise of direct lending 

Direct lending refers to the practice of lending money directly to borrowers, bypassing traditional banks and financial intermediaries. This trend will surge in the future as borrowers seek more flexible and efficient sources of financing.

  • Greater focus on digital infrastructure 

This includes investments in developing digital infrastructure projects, such as data centres, fibre-optic networks and cloud computing. This trend will be driven by the increasing demand for digital services and the need for more efficient and secure digital infrastructure.

These trends are expected to drive innovation and competition in DCMs, leading to more efficient and accessible markets for all participants.

Conclusion

Debt capital markets are essential for value addition to business models and play a defining role in shaping the future of economies. A DCM can be tricky in its credit, settlement and interest. However, most economies will establish a positive and dynamic standard operating procedure (SOP) on their respective DCMs.

You need to have a good understanding of DCMs if you want to advance your career in investment banking. Imarticus Learning offers a comprehensive course for you to have a better understanding of capital markets. So, if you are looking to pursue a career in finance, then consider enrolling in Imarticus’ Executive Programme in Investment Banking and Capital Markets, which is provided in collaboration with IIM Calcutta

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