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Can cyber crimes encourage businesses to transform? Cyber security best practices

Posted on by Imarticus Learning

Can cyber crimes encourage businesses to transform? Cyber security best practices

Today, almost all businesses are riding on the wave of digitisation. This is especially true after the onset of the Covid-19 pandemic, which took the world by storm and forced everyone to get confined to their homes and resort to digital solutions. 

The pandemic further propelled the pace of the ongoing Fourth Industrial Revolution and has brought an element of technology into all the facets of a business. Today, many businesses, especially new-age startups and unicorns, maintain a strong digital presence with the help of a website and a mobile application. Many legendary businesses have adopted this new presence mechanism to be omnipresent for their customers.

Besides affecting fundamental areas like business presence, technology is engraved in almost all business processes, be it production, supply chain management, customer outreach, maintenance of business records and customer information, or any other workflow.

There are many benefits this technological shift has brought for businesses, such as cost-effectiveness, convenience, and speed. However, we cannot escape the fact that technology has its perils. It has the potential of exposing a business to possible cyber crimes such as ransomware attacks, data theft, cyber fraud, etc.

So, what is the road ahead? Can cyber crimes encourage businesses to transform? Yes, cyber crimes are pushing businesses to change how they work or adopt technology! 

If you are someone, who aspires to become a cyber security expert, you can learn ethical hacking by getting enrolled in our online courses for cyber security. It is a Post-graduate level program that is designed to prepare individuals like you for leadership roles in the domain of cybersecurity.

How Are Businesses Transforming To Combat Cyber Crimes?

“Failing to plan is planning to fail” this famous quote is taken quite seriously by businesses these days who try to keep themselves ready proactively with robust cyber security practices to combat unexpected cyber attacks. Following are some key practices that businesses adopt to keep them safeguarded against such cyber risks – 

 

  • Training Employees Against Potential Cyber Attacks

 

We can’t keep something secure until and unless we know what we are protecting it against. And thus, many businesses nowadays are training their employees to build awareness among them about the potential cyber-attacks that the business can encounter. 

Many organizations include such training sessions in their employee onboarding programmes to impart this knowledge. Businesses also keep scheduling similar webinars or interactive online courses taught by data security experts to keep their workforce informed about how they can identify such threats and what they should do in case they come across one on any given day.

 

  • Application of Strict Cyber Security Policies

 

Besides scaling up the information quotient of their workforce on cyber crimes, proactive business leaders plan and implement strict cyber security policies across all levels in their organisation. Some of the popular cyber security policies include the usage of strong passwords to access office systems along with periodic password updates, availability of updated and virus-protected software, multi-factor authentication for access to company resources, especially data, and use of secured Wi-Fi Connections with only company-approved VPNs.

 

  • Adoption of Emerging Technologies

 

Today, even businesses that are not primarily technology-driven prefer to hire a cyber security expert who can prepare and keep the business safeguarded against possible cyber crimes using advanced technologies like Machine Learning and Artificial Intelligence. 

These two technologies help organisations revolutionise their approach to cyber security by keeping them ready against potential cyber risks. For example, cyber experts used AI and ML to manufacture dummy cyber-attacks against the organisation’s IT infrastructure based on common patterns picked by attackers. This not only helps the company’s cyber security team understand the current security status but also helps customise the security approaches per the business’s dynamic needs.

Besides AI and ML, companies are adopting cloud technologies to keep their data safe and away from the reach of attackers.

Wrapping Up

Technology is the backbone of the ongoing Industrial Revolution, and cyber security measures are its wings to take that flight to glory. We need to accept that today cybercrime has become an industry of its own, and it is here to stay as long as technology. The only way businesses can deal with these threats is by being prepared against them to knock them off before they do that to the businesses.

If ethical hacking training and learning about cyber security measures is something that interests you, come and join our cybersecurity course, which comes with a job placement assurance!

Still in doubt? Contact us through chat support, or visit our nearest training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

Machine Learning: An overview, trends and careers

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Machine Learning: An overview, trends and careers

If you’re looking for an exciting, challenging, secure, and successful future, then you can consider choosing a machine learning career. And if you don’t already know, it was recently declared one of the most sought-after AI jobs, with rapid digitalization and a greater focus on advanced fields like machine learning and artificial intelligence. 

In the past four years, machine learning and AI jobs have increased by a whopping 75% and are continuously growing. This indicates that working in a machine learning job can help you secure your future and earn your dream salary by serving an industry that is increasing in demand. In this article, we will discuss what machine learning is, and how you can build a successful career in this field. Read on! 

What is Machine Learning?

In simplest terms, machine learning is a field of AI. It helps in building self-learning automatic systems that can enhance their performance with their experience and without any human intervention. This allows machines to make data-centric decisions. Whatever a machine learns from its experience and available data, it can be used for making predictions. For instance, if you have used Google maps, then you might have noticed that sometimes it shows the fastest route with less congestion and traffic. It is able to do so with the help of machine learning algorithms. 

Machine learning engineers build these algorithms in such a way that they get used to experiencing and exploring fresh data for making predictions. This quality of machine learning provides businesses and organizations with the ability to make better strategies and optimize their operations to grow and succeed in their respective industry. 

What Does a Machine Learning Career Path Look Like? 

A career in machine learning usually begins with a post of machine learning engineer. A machine learning engineer builds solutions and applications that automate tasks that are previously handled manually. Most of these are repetitive tasks that are based on specific action pairs and conditions — which a machine can perform efficiently without any error. 

Once you earn a promotion as a Machine Learning engineer, you become a machine learning architect. Individuals in this job are responsible for creating applications and prototypes that need development. Some other job roles available in the field are ML software engineer, ML data scientist, ML senior architect, and so on. 

What Skills Do You Need for Machine Learning? 

Given below are some ML areas as well as skills required by the professionals:

Statistics and Probability 

A majority of machine learning algorithms have their base in mathematical concepts like Markov models, Bayes theorem, and a few other areas of probability. Furthermore, concepts like mean, deviation, median, and Poisson distribution are also very important in ML. 

System Design

Machine learning solutions are not generally standalone in nature. Instead, they are an important part of an integrated technical economy. This is the reason machine learning professionals have a good knowledge and understanding of software design. 

ML Algorithms and Libraries

ML professionals swear by models like Bagging, Linear Regression, Boosting, and Genetic Algorithms. 

Data Modeling

As a machine learning enthusiast, you should be able to evaluate the structure of datasets in order to identify patterns, correlations, and clusters. Further, data modeling is also necessary to make sure that data models are on point. Moreover, ML practitioners should also know how to test data for its accuracy and integrity. 

Programming Languages

Finally, if you want to pursue a machine learning career then you should have great proficiency in programming languages. Note that Python is the most important programming language for machine learning. Besides, technologies like Apache Spark, SAS, and AWS, are also crucial in ML. 

Know that this isn’t the list of only skills you need to acquire to have a career in machine learning. There are several other concepts and modules that you should learn to become an ML professional. The best way to begin your career in this field is to learn machine learning by enrolling in the right machine learning course. Further, you can also consider taking a machine learning certification program from a reputed institute. 

Scope and Salary Trends of Machine Learning 

As compared to other career options, the scope and demand for Machine Learning are very high in India as well as abroad. According to a Gartner survey, there will be more than 2.3 million jobs in the field of AI and ML by the end of 2022. 

Moreover, ML jobs offer a much higher salary than other jobs. As per the Forbes report, the average salary of an entry-level ML professional is $99,007 in the US. This converts to INR 865,257 in India. 

As you can see, machine learning is a booming career field that can help you build a successful and secure future. So, don’t wait anymore and start your career in this lucrative field by taking the right machine learning course! 

The 5 Most Searched Courses In Credit Risk

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The 5 Most Searched Courses In Credit Risk

Credit risk is the study of the risk borne by lenders due to an extension of credit to the borrowers. If you are a banking professional in the credit risk domain and want to upskill your subject skill, you must consider doing a credit risk course.

Doing a credit risk course can also be beneficial if you are looking to transition from some banking vertical to credit risk or an altogether different industry.

You can use these credit analyst courses in two ways: either making a full-fledged career out of them that solely focuses on credit risk or leveraging them to your existing finance skill set, which could be more concentrated on some other BFSI or corporate finance vertical like financial consultancy for mergers and acquisitions. There is an element of risk wherever there is credit or finance.

But, what is a credit risk course? And are there various types? Is there a credit risk course that allows you to take up multiple roles in the domain? If yes, then which one is that? Let’s find answers to these questions and many more in this article!

What is a Credit Risk Training Course?

A credit risk training course is a learning module that teaches you how to identify different risks involved in different loan markets and quantify and mitigate them.

It also equips you with the knowledge for structuring a credit that offers to yield maximum profit for the lender with minimum risk while meeting all the regulatory requirements.

What Are The Top 5 Most Searched Courses In Credit Risk?

There are various types of credit risk courses available in the market. Following is a list of the domain’s top 5 most searched courses. We hope this list helps you choose the course that best meets your requirements and aspirations – 

 

  • Credit Analyst Courses

 

These credit risk courses primarily focus on building your analytical skills to improve your decision-making skills. A credit analyst course teaches you how to evaluate the lender’s risk in complex scenarios. You must consider these credit risk courses if you aspire to become a credit analyst, loan officer, customer relationship manager, or investor.

 

  • Credit Risk Modelling Courses

 

A credit risk modelling course helps you learn how to use risk models to assess the probability of repayment default by the borrower. Today, almost all credit risk modelling courses come integrated with advanced technologies like machine learning or programming languages like Python, SAS, or R. These courses help you understand how to quantify and monetise the creditor’s risk with the help of an optimised risk model for it.

 

  • Credit Risk Management Courses

 

Credit risk management courses focus on equipping you with the skills to manage credit risk to achieve profit maximisation and optimisation of assets. These courses are generally focused in their approach; for instance, certain courses concentrate on learning about the management of credit risk for institutional clients, while others focus on small businesses or training you for managing credit risk for a bank branch.

 

  • Credit Risk and Underwriting Courses

 

A course in credit risk and underwriting is one of the most holistic courses in the domain. It is best suited for you if you wish to keep your credit risk career options open, be it a credit risk analyst, insurance underwriter, credit manager, or similar role. At Imarticus Learning, we offer a Credit Risk and Underwriting Prodegree, which provides you with a comprehensive curriculum, real-life industry exposure, career support, and an individual mentorship program.

 

  • Corporate Credit Risk Courses

 

A corporate credit risk course prepares you for managing credit risk for organisations by assessing their financial statements, cash flows, and operating ratios. It is an ideal course for you if you wish to make your career in asset management, bond research, credit risk manager, or investment banking.

Take Away

Banking and finance is a booming industry not only in India but all over the globe. And credit risk management forms one of the fundamentals of this industry. A certification in credit risk opens several job opportunities for you in the field of investment banking, corporate finance, and risk analysis. 

Want to know more about the credit risk career options? Contact us through chat support or visit our nearest training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon. 

The journey from front-end developer to full-stack developer

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Full-stack web development is becoming popular these days. Companies are looking for professionals who have this comprehensive skill set to manage all aspects of web development. However, if you are working as a front-end developer, then it is the ideal time for you to get the remaining knowledge and take this jump to the next phase of your career. 

 

So, if you are wondering how to do that, well, take up a full-stack web development course from any reputed institution and acquire the necessary skill set.

What Is A Full-Stack Developer?

Now, before moving on, it is essential to learn about the job of a full-stack developer. A full-stack developer is a part of the core development team. This specific developer can handle all the roles that are vital to the web development task. They are capable of handling the front end; that is, they can build the UI of the system. So they should be aware of technologies like HTML, CSS, ReactJS, or AngularJS. These are critical for the construction of the interface.

full stack development course

The full-stack web developer should also be able to handle the back end of the server and the database. So they are expected to know NodeJS and MongoDB. A full-stack developer can handle both these things and is so versatile that they will play an important role in all the projects their organisation shall receive. 

What Does A Front-end Developer Do?

As already mentioned, a front-end developer is someone who develops the UI of the web app or website. They are primarily proficient in three technical skills. They should be proficient in HTML, CSS, and JavaScript. With the knowledge of these three skills, they can make a web app or a web page and customize its behavior according to their requirement. 

But they are incapable of handling the back end. That is, they cannot build a transmission channel and tether the user interface to the back end. If a front-end developer is unable to do this, then they cannot help the web app or the website store data on a server. To add these mentioned functionalities to their web development projects, a front-end developer needs to become proficient in back-end technologies as well. Then only can they handle the website from the client side and the server side, both? 

For most of the full-stack web development, the front-end remains the same. HTML, CSS, and JavaScript are what is primarily used. Apart from that, front-end developers are expected to be proficient in a library like React or a framework like Angular, which helps in the development of complex components for the UI.

So, you can understand that as a front-end developer, you are halfway there. All you need to do is complete the full-stack web development training, where you will learn the particulars of back-end web development, and you are good to go.

What Does The Frontend Developer Require To Take Up To Become A Back-end Developer?

We have discussed what skills a front-end developer requires. Now, we need to focus on what a back-end developer requires to do. We have also mentioned that there are many stacks that you can master. So, first of all, we are mentioning the stacks that are prevalent in the job market – 

  • MEAN – MongoDB, Express.js, Angular JS, NodeJS 
  • MERN – MongoDB, Express.js, React JS, NodeJS
  • LAMP – Linux, Apache, MySQL, PHP

Now, you can choose any of these stacks, which are mentioned here. There are also some less prevalent stacks that are not mentioned in the list but are equally critical. You could also choose from them. But depending upon your stack, you need to know what server-side technology and database system you need to choose.

Which Stack Is More Prevalent These Days?

The MERN and the MEAN stack are extremely popular these days. The database technology involved in both these stacks is MongoDB, which is an easy database technology where you can store data as a document. You can easily connect it to the front end with the help of Express.js and Node.js. Since you already have some proficiency in JavaScript because you mastered it for the front-end, building up your skills for Node.js and Express.js will hardly be difficult because the syntax and the basic concepts are the same. 

Node.js and Express.js are used to handle the server side by setting up routes. They are great at handling event-based actions and also developing the API (Application Programming Interface) of the website or the app. 

What Is The Advantage Of Becoming A Full-Stack Developer? 

There are many advantages to becoming a full-stack developer. But we are enlisting only the main ones below – 

  • You can develop a faster prototype on your own
  • Get the opportunity to be a part of all the core development projects
  • You can perform a diverse role and get an equally diverse experience of both the front-end and the back-end
  • Upskill yourself easier and hence earn a better pay package than just front-end or back-end developers
  • You will have a better insight than front-end and back-end developers
  • Lastly, your career gets the necessary push to jump to the next level

To conclude, if you are convinced by the fact that becoming a full-stack developer brings to your career, then you should certainly check out the full-stack web development courses from Imarticus Learning, one of India’s leading educational institutes.

Can A Diploma In Finance Management Do Anything For Your Career?

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Can A Diploma In Finance Management Do Anything For Your Career?

The financial management course covers financial planning, accounting, and strategizing for an organization’s booming growth. The courses provide students with financial abilities that will enable them to build budgets and distribute money to various divisions within the firm. 

management development programs

Financial management education covers all the disciplines that will develop your knowledge to specialize in these industries. This blog post will let you know if a diploma in finance management is helpful for your career.

An overview of Financial Management

Financial management is the planning, arranging, directing, and managing of a company’s economic activities, such as procurement and use of cash. It entails applying general management ideas to the company’s financial resources.

Financial management encompasses a wide range of activities. 

Financial choices: These include obtaining funds from various sources, with the type of source, time of financing, cost of financing, and returns determined by the decision.

The choice of dividends: The financial manager must decide on the distribution of net profits. 

What are different careers in Financial Management as a profession?

There are several career possibilities in financial management for qualified individuals to fill open positions in firms. 

An accountant is an expert who handles accounting tasks, including audits and financial report analysis. Account analysis is another name for this. They can work for an accounting company or a major corporation with an internal accounting department or start their practice. 

By reviewing outcomes, monitoring modifications, recognizing patterns, and proposing activities to administration, the financial analyst improves the economic situation. They are in charge of reconciling transactions by comparing and updating data. They maintain track of things by entering, verifying, and backing up information.

The insurance managers manage an insurance company’s operations and efficiency. They produce and modify policy-related deals and documents. Obtain and verify corporate insurance or related money used by the administration to meet expenditures such as disability compensation or lawsuits.

A Director of Finance is responsible for overseeing a company’s financial practices and development. They are highly logical professionals who ensure that a company’s finances function smoothly by examining financial markets, classifying economic reasons, and preparing reports. They are also known as Financial Planning Directors.

Discover financial services and capital markets courses with Imarticus Learning

Our investment banking course will teach students about investment banking, capital markets, risk management, and fintech. IIM Lucknow’s best business school created this six-month rigorous curriculum. This course may benefit experienced middle managers looking to relaunch their careers in the financial services industry.

Course Benefits For Learners:

  • As part of this equity research course, students will have the chance to meet and interact with their peers and industry professionals. 
  • In this finance and capital markets course, students will master essential areas like investment banking, capital markets, risk, and fintech. 
  • A diploma in risk management includes all the information students need to know about the financial industry and its functioning.

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

Hadoop over the years: An overview

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Hadoop over the years: An overview

Hadoop is a large software system used to manage data in distributed systems. It originated at the University of California, Berkeley, and was developed as open-source software. Hadoop has been widely used in various industries including finance, media, retailing, and manufacturing for a long time.

The key features of Hadoop are its distributed architecture (it uses Distributed File System or HDFS), parallel processing capabilities (via MapReduce), and ability to process large amounts of data quickly. This enables users to analyze big data sets using a variety of query languages such as Hive or Pig. Hadoop is commonly used in conjunction with other open-source software, such as Apache Spark.

In its early years, Hadoop was limited to working with files that were stored on local disk drives or within web services. This meant that many tasks involving Hadoop could not be completed without additional storage resources being added to the system.

As more companies began to learn Hadoop for their own purposes, it became clear that this technology had an enormous amount of untapped potential. In 2008, Google developed MapReduce, which allowed users to use Hadoop without having to worry about managing any additional infrastructure or software components themselves. This helped make Hadoop much more accessible to small businesses as well as large corporations—and it also made it easier for these organizations to store their valuable data in one place rather than on multiple servers across an entire organization’s network space.

Hadoop, over time, has become more efficient, and this evolution is completely technology-driven.

Hadoop has progressed significantly in recent times through its advancing technology and today, there are many ways to use Hadoop in your organization and business model. For example, you can run MapReduce jobs on top of HDFS (Hadoop Distributed File System) or S3 (Simple Storage Service). These nodes can be either standalone machines or cloud instances running in Amazon’s AWS EC2 service or Microsoft Azure cloud environment, respectively.

You can also run Hive over HDFS by using Apache Hive instead of using Pig as an alternative implementation on top of HDFS. In fact, Pig was originally developed as an alternative implementation

Hadoop is now a developed distributed storage and processing platform. It helps you store, manage, and analyze large amounts of data while allowing you to work on multiple tasks at once. Some of its features include:

– Distributed computing: Hadoop can be used across many machines in a network, distributing the work across each machine’s resources to increase throughput and minimize latency

– MapReduce: MapReduce allows you to analyze large datasets using an efficient programming model that can process data in parallel and run without user intervention

– Parsing and text analysis: Hadoop lets you parse text files quickly with regex expressions or a Java API, then analyzes them for sentiment analysis and sentiment classification

– Machine learning: With Hadoop’s support for Apache Mahout, machine learning can be performed on the distributed filesystem with no need for additional

infrastructure

Importance of Hadoop in today’s world

Hadoop is commonly used in a number of industries, including manufacturing, finance, and retail. Its capabilities make it an excellent tool for managing large data sets and mining information from them. Hadoop’s versatility makes it suitable for a wide variety of applications.

It’s popular in the world of machine learning, data-driven business analytics, and digital marketing. Hadoop allows you to efficiently manage huge volumes of unstructured and semi-structured information by allowing for parallel processing on clusters of computers.

Why should you learn Hadoop?

There are a number of reasons why you might want to learn Hadoop. Perhaps you are interested in using big data to improve your business operations or to conduct a research project. However you use it, it is extremely worthwhile for you to learn Hadoop.

Hadoop is an open-source platform for managing and processing large data sets. It enables you to easily query and analyze massive data sets using simple programming languages. This makes it a powerful tool for you to explore complex patterns, predict future trends, and more.

In addition to its big data capabilities, Hadoop also offers robust security features. You can protect your data against unauthorized access or destruction, while also maintaining control over who has access to it. This makes Hadoop a powerful tool to help you safeguard sensitive information.

If you’re interested in learning more about Hadoop, be sure to check out the following link and learn how to become a data analyst: Imarticus learning offers a data analytics certification course with a placement that takes you through every concept to help for a successful career transition.

Book a call today or visit our offline training centers for a fulfilling experience.

Why you should learn Artificial Intelligence and Machine Learning from an IIT.

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Why you should learn Artificial Intelligence and Machine Learning from an IIT

The Indian Institutes of Technology (IITs) are globally renowned for their academic excellence. IITs have been at the forefront of research in various fields, including artificial intelligence and machine learning. As two of the hottest topics in the tech world today, there are only a few better places to learn about the subject than IIT. 

analytics and data science jobs

If you’re looking for an artificial intelligence course or a machine learning certification, this article will help you decide.

We’ll look at five reasons you should learn artificial intelligence and machine learning from IIT.

 

  • Course Curriculum 

 

The course curriculum at IIT offers a unique blend of theory and practice, which is essential for mastering cutting-edge technologies. It aims to provide students with a comprehensive understanding of AI and ML.

Combining detailed knowledge of machine learning, deep learning, and artificial intelligence with general computer science principles makes this possible. By doing this, students receive a well-rounded education. 

In addition to offering an academic curriculum, students are also allowed to apply their knowledge in real-world scenarios through mentorship and industry-led internships. This will enable them to build an impressive portfolio of AI and ML projects for future employers. 

Students get the opportunity to learn from AI leaders while developing their skills and experience.

 

  • World-class faculty

 

IIT’s faculty are some of the best in their fields, with extensive experience in academia and industry. Their knowledge and expertise are unrivaled, and they are passionate about teaching and helping students succeed. 

With a commitment to excellence, the IIT faculty are dedicated to helping students reach their full potential. This makes them uniquely qualified to provide students with the skills and knowledge they need to succeed in today’s competitive marketplace. 

But that’s not all.

In addition to academic professors’ sessions, industry experts will teach you real-world applications of machine learning, deep learning, and artificial intelligence.

 

  • Network

 

IIT provides an ideal environment for collaborative learning, with ample opportunities to network with like-minded individuals from all over the world.

The student population is highly diverse, and the faculty is committed to providing a supportive and stimulating environment. The environment is ideal for networking and sharing ideas. There are many opportunities to learn new things and grow as a person.

Moreover, building a strong network opens up the potential for good placement opportunities. 

 

  • Alumni track record 

 

IIT is known for its rigorous academic program and its commitment to excellence. The school has a long history of producing top-notch talent in all fields, and AI and ML are no exceptions.

You can check Imarticus Learning’s AI and ML course in collaboration with IIT Guwahati. Alumni from this course have gone on to work in senior management positions in brands like GitHub, ANZ, JP Morgan, Cognizant, Oracle, and Deloitte, to name a few. 

 

  • Brand value

 

IITs are located in India, a country with a rapidly growing economy and a large pool of talented engineers and scientists.

As one of the country’s leading artificial intelligence and machine learning research institutions, the institute has a long history of excellence in these fields.

IIT students have access to world-class facilities and the latest technologies and techniques. It is also a leader in education, training the next generation of AI and ML researchers. A certification endorsed by one of India’s most prestigious academic collaborations will impress employers and showcase your AI skills.

Conclusion

Artificial intelligence and machine learning are two of the hottest topics in the tech industry today. 

One way to make your mark in this field is to become certified by a reputable institute, either through an artificial intelligence course or a machine learning certification. 

Fortunately, if you’re studying at the Indian Institute of Technology, you’re in a great position to do so. 

IIT is home to some of the world’s leading experts in AI and ML, so you’ll have access to the latest technologies and techniques. Plus, by working on projects with other students, you’ll be able to develop a strong network of contacts in the industry and build a portfolio that your employers will appreciate. 

You can check out the artificial intelligence and machine learning course offered by Imarticus in collaboration with IIT Guwahati. You can learn more about the program by reaching out through chat support or by visiting one of their training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad. 

Become A Pro By Managing Uncertainties In A Supply Chain

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Become A Pro By Managing Uncertainties In A Supply Chain

Supply chain risk management is a critical aspect of any business. It helps minimize disruptions’ impact and improve the supply chain network’s overall efficiency. However, some companies are still reluctant to use supply chain risk management techniques and instead rely on ad hoc responses or reactionary measures when there is an issue. 

How do deal with uncertainties in a supply chain?

Supply chain managers can use several techniques to deal with uncertainties in a supply chain. These techniques are:

  • Manage the risk: Supply chain managers can take steps to manage the risk arising from an uncertain event, such as by increasing inventory levels or by changing suppliers if the existing one fails to meet quality standards.
  • Mitigate the risk: In a few cases, it may be possible for a supplier to mitigate risks that otherwise would have led to a disruption in operations during an emergency or natural disaster.
  • Transferring risk: If you cannot prevent certain risks from occurring but are willing and able to assume them yourself instead of passing them along through insurance coverage (e.g., weather-related incidents). Therefore, consider transferring these risks onto yourself instead of trying insuring against them directly through another service provider like an insurance company (unless this makes sense given other factors involved). 

Types of risks in the supply chain

  • Financial risks are the most obvious and affect the supply chain’s ability to generate revenue. For example, there will be no revenue if you can’t sell a product because it isn’t available in stores.
  • Supply chain risks include production delays or quality issues that prevent you from fulfilling orders on time. They also have physical damage caused by external forces during shipment (e.g., bad weather).
  • Operational risks are more subtle than financial or supply chain risks and can affect your company’s ability to perform its functions properly—however indirectly this may seem at first glance. For example, poor communication between departments within your organization could lead to duplicate purchases of materials needed for production.

The future of supply chain management is likely to be driven by uncertainty and will require companies to develop new strategies for dealing with it. Fortunately, many tools are also available to help you manage them effectively.

In conclusion, we can say that the future of the supply chain is bright. With the help of technology and proper planning by companies, it’s easy to avoid any risk and ensure smooth functioning at all times.

Discover a supply chain management career with Imarticus Learning

Students interested in the SCM course can get the most recent information by completing the supply chain certification course.

Course Benefits For Learners

  • To provide students a complete understanding of the sector and position them for a prosperous future as certified Supply Chain analysts, we include them in significant technologies and initiatives, including six real-world projects.
  • Students may prepare for highly sought-after occupations like demand planner or data scientist, which are in high demand among firms today, by completing supply chain analytics courses!
  • Aspirants will learn to become data-centric and improve Supply Chain decision-making using the Python programming language.

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

The 4-Step Guide To Refining Your Career: Learn How Python Is Used For Stock Market Predictions

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The 4-Step Guide To Refining Your Career: Learn How Python Is Used For Stock Market Predictions

Python, a programming language developed by Guido Van Rossum in the late 1980s, has undergone tremendous growth, especially in recent years, due to its ease of use, variety of libraries, and attractive syntax. 

Global automation is increasing. So, there is always a demand for those knowledgeable in programming languages. Learning a programming language may increase the speed and sophistication of your algorithms.

You can hire a skilled programmer to handle the coding aspect of your plan, but doing so will be difficult later when you need to adjust it to the shifting market conditions.

What is Python?

Python is an interpreted, object-oriented, high-level, dynamically semantic programming language. It is particularly desirable for Rapid Application Development and 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. Python’s straightforward syntax prioritizes readability and simplifies learning, lowering program maintenance costs. 

Python’s support for modules and packages promotes the modularity and reuse of code in programs. For all popular systems, the Python interpreter and the comprehensive standard library are freely distributable and accessible in source or binary form.

How is Python used for stock market predictions?

Attempting to anticipate the future value of company stock or other financial instruments traded on an exchange is known as a stock market prediction.

A stock price forecast that is accurate might result in a sizable profit. The Python programming language is a choice for financial traders, who use it to perform automated trading strategies. Python is an open-source language that has become very popular recently, especially among traders looking to automate their trading strategies.

Python is particularly popular among traders because it’s easy to learn and use and has a community of programmers who can help you with your projects.

The following factors make Python an attractive programming language for stock market predictions:

Financial institutions and banks widely use the language. Many financial institutions and banks use Python to perform automated trading strategies and manage their stock market investments. 

The language is easy to learn and use. The syntax of Python makes it easy for developers to write programs that perform complex calculations quickly and efficiently. In addition, many developers who have used other programming languages find that they can easily switch from one language to another without difficulty.

It’s free! You don’t need special licenses as long as you’re willing to download some free software from the Internet.

Discover PGDM in finance management with Imarticus Learning

Through our diploma in finance management, students will learn about investment banking, capital markets, risk management, and fintech. The top business school established this demanding six-month program at IIM Lucknow. Middle managers with experience who want to restart their careers in the financial services sector would find this training valuable.

Course Benefits For Learners:

  • Students can connect with their peers and business experts as part of this finance management course.
  • Students will understand critical topics, including investment banking, capital markets, risk, and fintech.
  • A capital markets certificate teaches students all they need to know about the financial sector and its operations.

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

The logic behind reading programming language in supply chain analytics course training

Posted on by Imarticus Learning

The logic behind reading programming language in supply chain analytics course training

Coding is an excellent option to improve your analytical and business thinking skills. With the right tools, you can become more productive and efficient in your work. This post will discuss which programming language is best for supply chain analytics course training and why learning these languages will help improve your analytical skills!

An overview of supply chain management course

Supply chain management is the process of managing a company’s supply chain. It involves identifying, purchasing, and delivering products or services to meet customers’ needs.

Supply Chain Management (SCM) refers to all activities involved in bringing raw materials from suppliers to end users and related information about these transactions. It includes planning for future requirements and monitoring performance at every stage of the product life cycle through stages, including production, distribution & sales, etc., to ensure efficient operation within all aspects, including cost reduction, improved quality control, etc.

The best logic behind learning R, Python, and SQL languages during supply chain analytics course training

R is a free alternative to the proprietary Microsoft® Excel®. Python is another open-source programming language that you can use for data analysis, manipulation, and automation of your business processes.

SQL is Structured Query Language, a vendor-neutral database query language developed by IBM in the 1970s under their System R project (now called DB2). It has been widely adopted by most major manufacturers today, including Intel®, Oracle®, Microsoft® SQL Server®, etc., so if you want to learn what kind of databases are out there, then this course will help you understand them better!

Which programming language to learn?

It is essential to choose the correct programming language for you. Here are some things to consider:

  • R – This is the most popular programming language in the supply chain analytics field.
  • Python is a general-purpose programming language that you can use for data science and machine learning tasks such as prediction, classification, or regression models.
  • SQL – This database management system has been around since the 1960s, making it one of the oldest languages today (along with COBOL). It’s also known as Structured Query Language (SQL) because it’s an order-by-clause syntax used when working with databases like MySQL or Oracle Data Vault.

Learning programming languages is just one of the many ways that will help you improve your analytical and business thinking skills!

Discover a supply chain management career with Imarticus Learning

Managers might use supply chain management online training to make strategic, operational, and tactical decisions. By combining conventional supply chain planning with data-driven decision-making, get ready to contribute to developing more tactical and inventive global supply chains in the future.

 Course Benefits For Learners:

  • Students are exposed to significant technologies, including six real-world projects, to give them a thorough grasp of the industry and prepare them for a successful career.

  • Learners may get ready for highly sought-after jobs like demand planners or data scientists by finishing a supply chain management and analytics degree!

  • Python will teach aspirants to become data-centric and enhance supply chain decision-making.

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

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