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Day: November 7, 2022

The Rising Demand in Apprenticeship for Postgraduate Diploma in Fintech

Posted on by Imarticus

The Rising Demand in Apprenticeship for Postgraduate Diploma in Fintech

The world is now at a juncture of a modern industrial revolution. Amid all this technological innovation, every business is going online and digitising its resources and assets. In the midst of all this, Fintech has emerged as one of the trending terms in the field of commerce and banking. Hypothetically, we could be in the era of the 4th industrial revolution, where data has become the new currency. That’s because of how new technologies have been evolving in the financial services sector globally. So, a postgraduate diploma in Fintech can be of great help as it prepares you for one of the most in-demand professions right now. Learn more about it here. The rise of Fintech in India

India is one of the global economies that have been growing rapidly. Compared to the other growing economies, India has become more or less of a global hotspot in Fintech in the last decade. With the rise of software and digital technologies in India, several new financial products and services have entered the market. These were not present in the last 5 years. But due to popular demand, they have sprung into existence.

What are we talking about? We are referring to mobile banking, paperless loans, secure payment gateways and mobile wallets. Due to the central government’s promotion of cashless transactions, these have already been implemented nationwide. It has been reported that India’s Fintech industry requires $20-$25 billion in investments over a few years. So it is a good time to kick-start your Fintech career.

India’s future in Fintech is also secure because of the startup schemes being driven by innovation. As a result, the population, which is mostly in rural areas, have been able to receive remote banking services.

Mobile banking and cashless transactions involve the usage of big data and analytics

Wondering why you should learn big data and analyticsif you are planning a career in banking and finance? Mobile banking forms a big chunk of the Fintech sector’s total revenue. Banks have also become digital-first, boosting the usage of cashless transactions. As shown by the statistics, this will also grow in the future. In FY 2021-2022, around $80 billion of real-time payment transactions were made. This shows an increase of 41% over the previous accounting year. Wallet service providers are raking in the moolah because they provide services to many people.

Cryptocurrency and blockchain are growing at a blistering pace

Another reason to become a Fintech professional is the rise of cryptocurrency and blockchain. Due to the advent of these two, Fintech is improving by leaps and bounds. And this has also resulted in the rise of demand for Fintech professionals. Moreover, the central government has announced in the national budget that India plans to launch a Central Bank Digital Currency, incorporating blockchain technology. This will lead to an increase in digital payments and demand for related financial services in India.

The Fintech sector has also changed the wealth management scenario

Fintech products and services find phenomenal demand in India. Among all the emerging economies, a significant part of the Indian population has come ahead and embraced Fintech and allied services. Even the people from Tier–II and Tier–III cities and rural India have invested their liquid assets in various wealth management tools.

Fintech companies have managed to break the barrier of wealth management, and now everybody can access the best financial products and generate income as per their capacity.

The insurance sector has also involved Fintech tools

Fintech companies have also collaborated with traditional insurance providers and have helped to streamline the claim procedures and expand the health coverage for customers. Many innovations have challenged the conventional health claim provisions, right from providing an ambulance fund in the insurance to availing health wearables. The reach of these Fintech companies will help these insurers to interact with new customers and increase their client base. 

It is clear from the above write-up that the Fintech sector is bound to grow because there is an ever-increasing demand for online payment and banking, and financial transactions. Therefore, these companies need to incorporate readily to the regulatory changes. At the same time, considering the employment requirements that this sector currently has and what it will be in the coming years, having a postgraduate diploma in Fintech can be of great help to you. In this regard, you can look at the online postgraduate program — PGDM in Fintech and Data Science from Imarticus Learning. This course will prepare you well for a career in this field and all its challenges.

A foolproof plan to learn python, data structures and algorithms

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A foolproof plan to learn python, data structures and algorithms

As a student interested in becoming a Full Stack developer, you will need to learn three essential topics – Python, Data Structures, and Algorithms. This blog post will give you a foolproof plan to learn all three topics so that you can ace your Full Stack developer course.

Step One: Choose a Language 

The first step is choosing which language you want to learn. Some of the most popular options include Python, Java, and JavaScript. If you are unsure which one is right for you, don’t worry! Just pick one and give it a try. No matter which language you choose, you’ll be able to learn the basics and get a feel for what coding is all about.

Step two: Python – The Basics

Start with the basics and ensure you know how to write basic programs. You can find some tutorials on YouTube and other sites.

Installing– Nowadays, many Linux and UNIX distributions include a recent Python, and installing Python is typically simple. Even some Windows computers now come pre-installed with Python, most notably those made by HP.

Learn the language basics. Many people start learning Python by writing programs, mostly just a list of instructions. But it’s essential to get the basics right and understand how they work together.

Step Three: Get Some Practice 

Now that you know the basics, it’s time to get some practice coding. An excellent method to do this is by working on projects of your own or by participating in online coding challenges. 

This will help you solidify the concepts you’ve learned so far and give you some experience using your skills in the real world. Coding challenges are also a great way to prepare for interviews with potential employers.

Step four: Data Structures and Algorithms

Data structures and algorithms are essential to coding, so learn about them before moving on to step five. Take advantage of the many resources available, especially for beginners, as with anything else. Once again, working on small projects or participating in online challenges is a great way to practice learning and get some experience implementing these concepts in code. 

Step Five: Start Your Full Stack Developer Coursework 

 After reaching step five, congrats – you’re ready to start your full stack developer coursework! Go ahead and dive in – no need to be nervous anymore. Just keep practicing what you’re learning as you go along; this way, you’ll become a coding superstar when you finish your coursework.

Learning Python, data structures, and algorithms is essential for anyone interested in becoming a Full Stack developer. By following the plan outlined in this blog post, you will be well on becoming a skilled programmer. Start learning today!

Discover a career in full stack development with Imarticus Learning.

 Students will learn database architecture and algorithms through our Full-Stack Development certification course. During this six-month full stack developer training, students will also learn data structures algorithms and the technical aspects of front-end and back-end programming.

 Course Benefits for Learners:

  • As part of our career services, we offer resume writing, profile improvement, workshops to help students prepare for interviews, and one-on-one career counseling.

  • Lay a strong foundation in data structures while learning well-known tools like Java, Spring, MongoDB, JavaScript, React, Docker, and Jenkins.

  • Students can now compete in coding challenges organized by our community project Skillenza to address complex business problems and make an impression on resumes.

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

How supply chain analytics help managers predict future demands

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How supply chain analytics help managers predict future demands

The goal of every business is to meet customer demand. This is especially true in the manufacturing and supply chain industries, where the focus is on delivering the right product, to the right place, at the right time – without overproducing or holding too much inventory. To achieve this goal, both managers and analysts must have a deep understanding of customer behaviour and be able to predict future demand. In other words, they need to understand the complete supply chain from end to end clearly. This is where supply chain analytics comes in.

What is Supply Chain Analytics?

Supply chain analytics is analyzing data to improve the efficiency and effectiveness of supply chain operations. It can track and predict future demand, optimize inventory levels, and identify cost-saving opportunities. By understanding how supply chains operate, managers can make better decisions about where to allocate resources and respond to demand changes.

Supply chain analytics help managers predict future trends & demands

Supply chain analytics help managers predict future demands by providing them with data-driven insights into past and current trends. By analyzing this data, managers can identify patterns and predict future demand. This information can then improve planning and decision-making within the supply chain.

Supply chain analytics can help managers in several ways. For example, they can be used to:

Identify patterns in customer behaviour: By analyzing data on past customer orders, managers can identify patterns in customer behaviour. This information can predict future customer demand and adjust the supply chain accordingly.

Improve forecasting accuracy: By analyzing data on past orders, shipments, and inventory levels, managers can improve their forecasting accuracy. This improved accuracy can lead to better decision-making within the supply chain.

Reduce costs: By identifying patterns in data, managers can find ways to reduce costs throughout the supply chain. For example, they may be able to find efficiencies in the production process or in how goods are shipped from one location to another.

Significance of supply chain analytics course in becoming a successful supply chain analyst?

Supply chain management course

Supply chain analytics is a course that helps managers predict future demands. The course provides the skills and knowledge necessary to understand and apply predictive analytics techniques to supply chain data. The course covers statistical analysis, mathematical modelling, and data mining.

The course covers statistical analysis, mathematical modelling, and data mining, which are all essential for predicting future demands.

Transforming with Imarticus Learning:

The Professional Certification in Supply Chain Management and Analytics has been designed in collaboration with CEC, IIT Roorkee and industry leaders to provide a cutting-edge experience to students willing to make a career in the operations & supply chain industry.

Supply Chain Analytics enables management to make data-driven decisions at strategic, operational, and tactical levels. 

Why become a successful supply chain analyst with a supply chain analytics course from Imarticus Learning?

The SCM field needs more professionals with process and analytics talents. This certification prepares students for high-demand job roles such as Demand Planner, Data Scientist, Supply Planner, and Supply and Operations Planner.

Course USPs:

  • Learn Job-Relevant Skills
  • Gain Certification from IIT
  • Learn from IIT Faculty
  • Get Mentored by Industry Experts
  • Live training by IIT faculty
  • Campus immersion at IIT Roorkee
  • Certification from CEC, IIT Roorkee
  • Curriculum designed by CEC, IIT Roorkee

This 6-month program prepares students for the ever-increasing trend of e-commerce and the amount of movement of goods has been ever-increasing. There has been a disproportionate jump in the number of jobs for SCM across industries. This program prepares you to gain all those new-age career opportunities.

For further details, reach out through Live Chat Support system or visit our training centres in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

Learn how to use the BODMAS principle like a pro

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Learn how to use the BODMAS principle like a pro

Do you want to learn BODMAS principle like a pro? If so, you must sign up for a Financial Analysis Course! This course will teach you everything you need about financial modelling and analysis. Career prospects after completing this course are excellent – you could become a financial analyst, financial controller, or even a chief financial officer! So don’t wait any longer – enrol today and start your journey towards becoming a financial modelling expert!

Significance of Financial Analysis Course in 2022:

With the global economy becoming increasingly complex, the role of financial analysts is more important than ever. Financial analysts provide insights and recommendations that help businesses make informed decisions about where to invest their money. If you’re interested in a career in finance, then taking a Financial Analysis Course is a great place to start.

The course will teach you the essential skills and knowledge required to be a successful financial analyst. You’ll learn about financial statement analysis, ratio analysis, cash flow forecasting, and more. After completing the course, you’ll have a strong foundation to build your finance career.

What is the career scope after taking up a Financial Analysis Course?

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A career in finance is one of the most popular choices for students who have completed their graduation in commerce or economics. A financial analyst is a professional responsible for providing accurate and timely financial information to guide an organisation’s decision-making process. Financial analysis is a process of evaluating businesses, projects, budgets, and investments and determining their suitability for investment.

The role of a financial analyst has become increasingly important in today’s business world as organizations are under constant pressure to make informed decisions that will maximize shareholder value. A financial analyst must have strong analytical and research skills, as well as the ability to communicate complex financial information clearly and concisely.

A financial analyst typically works in three areas: corporate finance, investment banking, or asset management. Corporate finance is the finance area that deals with a corporation’s financial decisions, such as issuing new equity, issuing debt, and managing cash flows. Investment banking is the area of finance that deals with raising capital for businesses and governments. Asset management is the area of finance that deals with the management of assets, such as stocks, bonds, and real estate.

Many types of financial analysis courses are available to students who wish to pursue a career in finance. Financial analysis courses typically cover accounting, financial statement analysis, corporate finance, investment banking, and asset management. Students who complete a financial analysis course can find employment in various industries, including banking, insurance, accounting, and investment management.

Financial analysis courses are offered at many levels, from introductory to advanced. Advanced financial analysis courses usually cover corporate finance, investment banking, and asset management topics. Four-year colleges and universities typically offer these courses.

Students who complete a financial analysis course can find employment in various industries, including banking, insurance, accounting, and investment management. Financial analysts typically work in three areas: corporate finance, investment banking, or asset management.

Become a financial modelling expert with Imarticus Learning:

Financial Analysis Course is significant in today’s business world. It helps you understand the various financial statements and how to use them. It also teaches you how to build models that can be used to forecast future trends. Each module is designed to give you a comprehensive understanding of every critical aspect.

With the financial analysis course, you acquire toolkits to enable careers across investment banking, corporate finance & private equity.

The course lets you become a financial modelling expert and focuses on skill-building & masters across various functions within core finance. In partnership with KPMG, this program brings you an endorsed curriculum, influential faculty and practical learning.

USPs:

  • Learn Job-Relevant Skills
  • Career Transition
  • Gain Industry Certifications
  • Over 25+ hours of delivery from KPMG experts.

Live facilitated instruction is proven to provide the best learning outcomes.

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

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Don’t enrol in a Fintech course without reading this

Posted on by Imarticus

One sector which was the first to bring about technological changes in its mode of operations or management was Finance. Ever since the introduction of technology to this sector, the entire department has been revamped and the expected growth of the Fintech global market is 26.2% CAGR (Compound Annual Growth Rate) between 2022 to 2030. So if you were planning a career in the Fintech sector, now would be the ideal time to give a jump start on your dreams, and opting for various Fintech courses online is the ideal first step. However, before you make up your mind on a course, there are a few things to be aware of. This article covers all the essentials of any online Fintech course.

Fintech certification course: What is it all about?

In the simplest of terms, the Fintech industry is all about using technology to smoothen the financial operations of a company or business. Fintech courses are those courses that help you to specialise in this field and give you an opportunity to learn the various skill sets required to set foot in this sector.

What to look for before enrolling in a Fintech online course?

While browsing through the multiple options of Fintech courses you might get intimidated owing to the broadness of this niche. So here are a few factors which you should keep in mind before choosing your course:

Your requirements and preferences

The ecosystem of the Fintech industry is a varied one, which makes it very important for you to understand your preferences and interests beforehand. Based on your requirements, capacity and interest you should choose the stream, and not the other way around. For example, if your interest lies in Wealth Technology or Wealth Tech, then you have to choose an online Fintech course that focuses on that segment. However, if your preferred field is Lending or Digital Banking, then you need to choose your course accordingly.

Duration of the course

The next important thing to consider is course duration. Fintech course durations range from shorter ones of 6 to 12 months or longer to full-fledged courses of almost 4 years. If short-term courses are the ones you are looking for, then the Fintech course offered by Imarticus is your ideal one. Imarticus runs the core module, where the basics are taught at a duration of only 100 hours, while in-depth learning is provided by the pro module which runs for 140 hours.

Practical training

Another factor to consider before finalising your Fintech course is whether the course is paired with any hands-on training or experience or not. With a course that offers proper hands-on experience, you will ensure that your theoretical knowledge is properly transcribed into a practical one.

What topics are taught in online Fintech courses?

Fintech courses are job-oriented, and thus its curriculum is curated by keeping in mind the need for both theoretical and practical knowledge. Any online Fintech course, like the professional certificate in Fintech offered by Imarticus, covers the following subject areas:

  • Risk management
  • Understanding the startup ecosystem
  • Law and policy
  • Fintech security and regulation
  • Banking and financial services

The Imarticus Fintech course also offers hands-on training on various in-demand technologies like RPA, Machine Learning, Cloud Computing, Blockchain and likewise.

A career in Fintech: Array of job opportunities

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After finishing your online Fintech course, you can pursue any job profile in any of the following business models:

  • Transaction delivery
  • Asset management
  • Digital wallet
  • Payment gateways

The various job profiles include:

  • Cloud Manager
  • Data Scientist
  • Product Engineer
  • Product Manager
  • Sales

This is only the tip of the iceberg, and with the rapid growth in this sector, newer job profiles and business models are coming up now and then.

Why choose an online Fintech course over an offline one?

If you’re confused about whether to opt for an offline or online Fintech course, be assured that this dilemma is quite common. Both modes have their own sets of advantages and disadvantages, yet the online one wins the race owing to the following added benefits:

  • An online Fintech course is flexible and thus convenient. Such a course offers you the opportunity to learn at your own pace and time.
  • Next is cost savings. Not only are online courses less expensive than offline ones, but you also save travel costs.
  • Most online Fintech courses are paired with exhaustive career services and scopes of networking with peers, professionals and industry experts.

Bottom line

The Fintech sector is rapidly evolving with time, and to stay afloat, you must be well equipped with appropriate knowledge, current changes and an ability to upskill yourself and adapt to the changes. The correct Fintech course will help you achieve the same with ease, which will not only act as a supplement to your knowledge base but also give a picture of your interest to work in the field to your potential employers.

IIT Roorkee digital marketing course: One of the best in the industry

Posted on by Imarticus

IIT Roorkee digital marketing course: One of the best in the industry

If you are searching for a digital marketing course that will give you the skills you need to succeed in the industry, look no further than the IIT Roorkee digital marketing course. This program is one of the best in the business and will teach you everything you need about online marketing. 

Whether you are interested in search engine optimization, social media marketing, or paid advertising, this program has something to offer everyone. Don’t miss out on this opportunity!

What is digital marketing?

Digital marketing promotes products or services using digital technologies, mainly mobile phones, display advertising, and other digital mediums.

Digital marketing takes into account the ability of specific tools or digital channels to convert prospects. The digital marketing strategy of a company may utilize several platforms or concentrate all of its efforts on a single platform. 

For instance, a business might ignore other digital marketing channels to produce content primarily for social media platforms and email marketing campaigns.

Why study digital marketing?

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A career in digital marketing can offer you a wide range of exciting and challenging opportunities. As more businesses turn to the Internet to promote their products and services, the demand for skilled digital marketers is increasing.

With the right skills, you could work in various roles, including:

  • Digital marketing manager
  • Search engine optimization (SEO) specialist
  • Social media manager
  • Pay-per-click (PPC) Executive
  • Email marketing specialist
  • Web analyst

What will you learn in the IIT Roorkee course?

The IIT Roorkee digital marketing course will give you the necessary skills and knowledge to start or further your career in digital marketing. You’ll cover a range of topics, including:

  • Search engine optimization(SEO): How to improve the visibility of websites and individual web pages in search engine results pages (SERPs).
  • Social media marketing: Promoting businesses, products, and services using social media.
  • Pay-per-click (PPC) advertising: How to create and manage effective pay-per-click campaigns.
  • Email marketing: How to use email to promote businesses, products, and services.
  • Web analytics: How to use data and analytics to understand website user behavior and improve digital marketing campaigns.

The IIT Roorkee digital marketing course is one of the best in the industry. It will give you the necessary skills and knowledge to start or further your career in digital marketing. 

To ensure active and comprehensive learning, the Advanced Certification course uses a variety of methodologies, including projects, case studies, and real-world examples from recent Digital Marketing events.

Discover IIT Roorkee digital marketing course with Imarticus Learning

In the era of digital transformation, businesses today rely on the most recent technology and digital channels to communicate with their existing and potential customers. For those looking for the best online marketing course and want to learn the industry’s fundamentals from an accredited university, we have developed this advanced digital marketing certification course and MarTech course in collaboration with IIT Roorkee.

Course Benefits For Learners:

  • If you want to build a fulfilling career in MarTech and digital marketing, learn the most recent techniques and tools, understand the most recent trends and algorithms, and get involved in digital marketing projects.
  • Through live online sessions and conversations, learners can receive instruction from some of India’s top educators and specialists.
  • Our knowledgeable mentors will support you in achieving your goals as you move through the program.

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

What you need to look for in an artificial intelligence and machine learning course

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What you need to look for in an artificial intelligence and machine learning course

Artificial Intelligence and Machine Learning are two highly demanded career opportunities in the present market. A lot of aspirants are unsure about which career path they should choose. This can be a real confusion because Artificial Intelligence and Machine Learning are tools used in Data Science and any product related to AI demands you to have strong knowledge in the field of Artificial Intelligence. 

You can avail artificial intelligence and machine learning training from any reputed institution and future-proof your career. By choosing the right AIML course you can get an assured career in Data Science with lucrative job opportunities that are relevant to your field of study.  To know more about this program in Data Science and Machine Learning, read below: 

What should you look for in a productive Artificial Intelligence and Machine Learning Course? 

These are the things you should look for in an Artificial Intelligence and Machine Learning course:

  • Industry projects 

You can be assured that the course will benefit you if it delivers where you can use the skills you’ve learned and get hands-on experience. 

  • Type of learners and learning 

You must ensure that the program has learners belonging from varied backgrounds, experiences, and geographies, they have better networking by which they can offer new opportunities and experiences. 

  • Learning support 

If you get constant learning support from the program and it allows you to choose your class timings, you’ll find it easier and faster to learn based on your schedule. 

  • International recognition 

If the program is certified by reputed industries or international universities, it can add a lot of value to your resume. So, you must check whether the course you’re opting for has international recognition or not. This will increase your chances of having a lucrative career in machine learning. 

  • Type of tools and skills that are included 

Don’t forget to check the type of skills and tools which are covered by the course you’re enrolling for. If you get to learn about using the in-demand skills and tools, the course will become more useful for you.

Why should you opt for this course in Artificial Intelligence and Machine Learning? 

If you’re still looking for reasons to opt for this course, here are some important ones you can consider: 

  • Acquire job-relevant skills 

Brace yourself for an exciting career in Data Science by mastering the in-demand AI and Data Science skills. The course involves 25 realistic projects which focus on delivering exposure to varied industries. You can assure yourself of a strong career in Data Science with this course. 

  • Licensed by E&ICT Academy, IIT Guwahati 

Grab your employees’ attention and show off your AI skills with a certificate from E&ICT Guwahati and Imarticus Learning, one of India’s most reputed academic partnerships. 

  • Well-known academic faculty 

You can take classes from one of the most reputed faculty in the country through discussions and live online sessions. The sessions delivered by these academic professors will guide you in developing clear Data Science concepts. The industry experts also help you in getting hands-on experience in implementing the concepts you learn. You can also work on realistic projects based on Deep Learning, Machine Learning, and AI. 

  • Flexible learning 

The curriculum of this course has been designed as per the NEP 2020 which gives you the flexibility of transferring the program credits for almost 1 year. 

What’s this program all about? 

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This certificate program in Machine Learning and Artificial Intelligence has been created in partnership with IIT Guwahati, E&ICT Academy, and industry giants to deliver a unique learning experience to the aspirants of Artificial Intelligence and Machine Learning. The duration of this program is 9 months and it helps you get prepared for many job roles like Data Analyst, AI Engineer, Data Scientist, and Machine Learning Engineer. 

This program can strengthen your basic skills in AI. Get the best out of expert mentors and acquire a practical knowledge of Artificial Intelligence and Machine Learning. We offer real-world projects from varied industries for you to work on. This course can be very helpful for you in unlocking profitable career opportunities in all related fields of Artificial Intelligence & Machine Learning. 

Conclusion 

That’s all you should know about this very beneficial program in Artificial Intelligence and Machine Learning. If you’re aspiring to a career in Data Science, you must have a clear concept of both Artificial Intelligence and Machine Learning. Both AI and ML are tools used in Data Science. This course can effectively help you in building and strengthening your Data Science. There’s no need for you to give a second thought and enroll for this course as soon as you can. It is very easy to register for this program and you just need to visit our official website to apply. So, don’t waste any more time, and go ahead! 

How a machine learning course with placement impacted my career

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How a machine learning course with placement impacted my career

Machine learning is a part of artificial intelligence that deals with designing and developing algorithms that can learn from & make predictions on data. Machine learning aims to create algorithms that can automatically improve given more data.

Machine learning is a relatively new field, but it has already seen a great deal of success in a variety of industries. One of the most notable examples is Google’s use of machine learning for image recognition in their Google Photos service. Another example is Facebook’s use of machine learning to fight spam.

What are some basic things that a machine learning course teaches?

Machine learning is an exciting field to be in. It’s one of the few industries where you can make a real difference and one of the most rapidly growing research areas.

One reason is that machine learning has become incredibly accessible, thanks to online resources. Data analytics certification courses or Machine Learning programs provide free access to expert instructors and materials designed specifically for a machine learning course.

Another reason is that machine learning is so broad that there are many ways to approach it. In addition to basic algorithms like linear regression, tree-based models and support vector machines (SVM), many other machine learning algorithms are available that don’t fit into these categories. Some examples include Gaussian processes, neural networks, Bayesian models and more.

Finally, machine learning is an exciting field because it deals with complex problems from different angles: from statistics and data mining to robotics and artificial intelligence (AI). By combining these different perspectives into one coherent field of study with its terminology and terminology, we can build better models that are more capable of understanding the world around us.

After completing a machine learning course, students should understand how these concepts can be applied to real-world problems. Additionally, they should be able to identify when it is appropriate to use different models and be familiar with common pitfalls that can occur while creating and using machine learning models.

How will machine learning impact career advancement?

Machine learning is a field of artificial intelligence that aims to provide computers with the ability to learn from data without being explicitly programmed. Machine learning is a relatively new field, and as such, it is constantly evolving. This means that there are many opportunities for career advancement within the area of machine learning.

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There are many different ways in which machine learning can impact career advancement. For example, AIML is used to develop new algorithms that can be used in various fields. Additionally, machine learning can be used to improve existing algorithms or techniques. Finally, data analytics certification course can help you develop new applications using new-age techniques.

The impact of machine learning on career advancement will depend on the individual’s specific skills and experience. However, there are many opportunities for those with the right skills to advance their careers in this exciting new field.

Become a Data Analyst with Imarticus Learning:

Get an in-depth look at the data science job landscape with Imarticus Learning. Students learn the real-world application of data science and build predictive models that enhance business outcomes. This machine learning course with placement is ideal for recent graduates and professionals who want to develop a data science and analytics career.

USPs of the course:

Created to collaborate with Data Science & Analytics industry.

Designed to help acquire a skillset sought after by the world’s largest employers of Data Scientists.

Transform into an expert Data Scientist through Capstone Projects, real-business projects, relevant case studies and mentorship.

Contact the Live Chat Support system or visit our Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad training centres.

Get certified by Moody’s analytics with this credit risk management course

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Get certified by Moody’s analytics with this credit risk management course

Financial figures for lending and borrowing in the global market have been a matter of risk throughout. The process gets complex when the world is shifting to internet-based technology while transferring funds. It is paramount that credit transfers are executed and monitored safely. This is where credit risk management comes in, and its importance is only to grow in the coming years.

If you are interested in a credit risk management course or simply looking to expand your career scope in the finance industry, this is a perfect time. Read more to know what credit management entails and how a certification in credit risk management will help you. 

Credit Risk Management: An Overview

What is credit risk? 

Credit risk is the chance of a probable amount to be incurred as a “loss” by a money-lending organisation upon lending to unpredictable borrowers. Credit risk includes the partial or complete loss of the interest, the principal amount (or both), increased cost collections and decreased ability to provide loans. It is hence important to know what the credit risk management process entails.

What is credit risk management?

Every moneylending organisation has a probability of loss while lending money to its stakeholders. This loss is calculated as the credit risk. It is the chance faced by the organisation not to receive the money back. The loss amount can be high if lent to irresponsible borrowers. This possibility can be lowered with the help of credit risk management. Credit risk management is the strategy of reducing the chances of loss in repaying borrowed money from organisations. It can bring about financial as well as economic security for the organisation through proper risk assessment and implementation using outlined techniques. 

The process of credit risk management 

The financial history of the borrower is the key to assessing credit risk. The credit risk also depends on the loan amount. Initially, the process estimates the reliability of repayment via previous financial records, income sources and current financial conditions. This gives the organisation a fair idea of the risks involved and they can proceed (or not) after this. In the age of fintech, this reduced chance of a loss helps keep the lending organisation safe from loss. However, it is the responsibility of the organisation to note that the client’s record is kept secure from cyber fraud. 

Why is Credit Risk Management Crucial?

Risks are almost always involved in any kind of financial borrowing and lending. However, the probability of the risk can be significantly lessened. Credit risk management is crucial in reducing financial jeopardy. It can downsize the losses incurred by any private financial service-providing organisation and/or banks when they provide a loan. In addition, credit risk management protects the lending stakeholder from cyber fraud and financial data leaks. Credit risk management keeps track of the borrower’s financial history and stability and can warn the organisation against unreliable clients. 

Get Certified by Moody’s Analytics: The Best Credit Risk Management Course 

big data analytics courses

If you are on your search for an ideal course, get the best certification in credit risk management with the Credit Risk and Underwriting Prodegree in collaboration with Moody’s Analytics by Imarticus. This course is in partnership with one of the most efficient financial services providing bodies, Moody’s Analytics. The Imarticus credit analyst course is the only global course that gives the candidate an in-depth analysis of legal management and underwriting regulatory techniques, as well as their applications in a technology-oriented industry. With five-plus case studies, holistic career guidance and one-on-one mentorship, this course is an ideal fit for aspiring credit analyst professionals. To learn more, book your seats now. 

Financial transparency and financial security are already significant issues being secured by credit risk management. As a result, credit analysts have a diverse career path with lucrative incentives lined up, with only increasing perks in the years to come. So, if you are a fresh graduate looking for interesting career prospects in credit management or a professional aiming to change your job, a certification in credit risk management is an ideal preference. 

Natural Language Processing: A Breakthrough Technology In AI

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Natural Language Processing: A Breakthrough Technology In AI

Natural language processing (NLP) is a branch of artificial intelligence that deals with computers understanding and analyzing human speech. NLP is used in data science training and analytics for document classification, sentiment analysis, and social media monitoring. NPL is a crucial module that is important for learning data science.

Using NLP algorithms, computers can be trained to process and parse text to extract meaning. This understanding allows computers to interact with humans more naturally by responding to questions and commands like humans do—using natural language.

The importance of NLP in data analytics comes from the fact that most data is not structured or organized in a way that machines can easily read. For example, suppose you wanted to know how many people were born in Seattle between 1980 and 1989. In that case, you could find this information by searching through every record individually or by using an algorithm to organize all those records into individual years and then count them. In both cases, you would need some program or algorithm with instructions on how the machine should conduct it.

Here is where NLP comes into play: instead of humans writing codes for every situation (which would require them to think about every possible scenario), they can use NLP methods. Machine learning algorithms are capable of learning from their own mistakes.

Natural language processing is essential because it allows machines to interact with humans in a way that feels natural. For example, you can ask Siri questions and receive answers in plain English—rather than dealing with complex programming languages or commands.

Natural language processing is one of the most exciting areas of AI research today. NLP is the ability of computers to understand and process human language. It plays a massive role in the development of AI.

NLP is used extensively in voice assistants like Amazon’s Alexa, Apple’s Siri, and Google Assistant. These assistants can understand what you say and respond accordingly, which is incredible. Intense work goes into making machine/AI assistants sound natural when they respond. 

They have to be able to answer questions about schedules or alerts about upcoming events’ reminders; they have to know what kind of information is shareable with whom, and they have to know how to respond when confronted with something inappropriate or off-topic. All this requires extensive training with humans willing and able to provide feedback on how well the assistant understands what was said and what needs improvement before it can go live on the market.

This technology can be used for several things, including:

  • Helping people who don’t speak English understand the meaning behind words spoken—understanding what people are saying so that you can respond appropriately.
  • Understand human speech patterns, allowing us to communicate with machines more naturally.
  • Create more intelligent chatbots and virtual assistants that can respond as humans would.
  • Helping people find information on the internet if they aren’t sure how to phrase their search query.
  • Help machines understand the written text better than ever before, which will help them make better decisions related to translation services or robotic surgery procedures (for example).

The two methods of NLP

Syntactic analysis and semantic analysis are two methods of text analysis. The syntactic analysis breaks down a sentence into its parts and determines how those parts are arranged in relation to each other. The syntactic structure can also determine the type of sentence — whether an imperative, declarative, or interrogative statement, for example. Semantic analysis is the process that determines the meaning of a word or phrase by analyzing its relationship to other words and phrases in context. This might mean looking at the relationship between individual words or groups of words. 

A good example would be:

“The dog ran away”.

Using syntactic analysis, we can see that this phrase has three parts: “the”, “dog”, and “away”. Each word contributes something different to the overall meaning of the sentence—so we can see that each part must be considered when trying to understand what it means. However, with semantic analysis, we would look more closely at each word individually.

Imarticus learning offers a deep-dive post-graduate course that takes you through the basics of NLP and other vital subjects required to learn data science, spread across six months of an integrated course for a successful data scientist career. Book a call with us today or walk into our offline centers to know more about the course and its benefits.