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Digital Marketing Tutorial: A Step-by-Step Guide To Become an Expert

Posted on by Imarticus Learning

Digital Marketing Tutorial: A Step-by-Step Guide To Become an Expert

Digital marketing encompasses the practice of promoting a company’s wares or services using digital channels, most often the web but also mobile phones and other digital devices.

data analytics and artificial intelligence courses in India

The advent of digital marketing in the marketing world has not gone unnoticed, nor have its consequences been modest. Customers, prospects, and clients have gotten savvier in this new terrain, but conventional marketers and stodgy corporations have had a hard time keeping up. Hence it is very important to accustom to this paradigm shift and find yourself the best digital marketing tutorial. 

To put it simply, digital marketing is the process of advertising a product or service via digital means. In a nutshell, it refers to any kind of marketing that takes place digitally, through a mobile device, laptop, internet, etc.

Why is digital marketing a more efficient way than traditional marketing?

There are many reasons why companies are choosing to invest millions of dollars in their digital marketing campaigns. A few of these are mentioned below:

  • Layering an analysis and reporting system into a digital marketing campaign enables the company or brand to track the campaign’s performance in real-time, from the content being read and for how long, to the number of responses and the number of sales made. 
  • Brands may learn from their consumers’ experiences, both good and bad, and can discover which media channels are most effective by interacting with them on social media as part of their digital marketing strategy. 
  • Online customer care through 24×7 services is only one example of how digital marketing in the internet world is used to make customers feel appreciated and supported by companies. 
  • With the help of digital marketing, companies may get a competitive edge. Consumers often share their opinions about a brand or item through online forums, such as social media, blogs, and review sites.

Fundamentals of digital marketing

Everything that you receive in an email from a company on their new product is digital marketing. When you see advertisements on social media for a product, or see your favorite content creator use the same, it is also considered digital marketing. There are fundamentals on which digital marketing thrives, these are mentioned below:

SEO (Search Engine Optimisation) 

Search Engine Optimisation is abbreviated as “SEO.” It’s the method of increasing a website’s visibility in search engines by unpaid, unpaid, editorial, or natural means of searching. Quite simply, it’s the process of working to raise one’s website in search engine results. What we have here is really just quality assurance for online content. 

Image search, local search, video search, and news search engines are just some of the many targets for search engine optimisation. If you use a solid SEO approach, your site will be more easily discovered by potential customers at the most crucial stages of the purchase process or when they need it.  

Paid Advertising 

Marketers use paid digital advertising when their advertisements appear in search results, on websites, on social media, or on any other digital platform and are clicked on or seen by a user. 

PPC stands for “pay per click,” and it describes a particular kind of paid advertising in which the advertiser forks out cash every time one of their adverts is clicked. The cost of advertising is divided by the number of times an advertisement is clicked on to determine the pay-per-click rate. 

Email Marketing

Email marketing includes any email message that is sent with the intention of increasing customer satisfaction, faith in a product or business, or brand awareness. 

Email marketing helps you promote your company and keep in touch with your customers. By doing so, you may swiftly and effectively reach your target audience without spending a lot of money on production expenses, airtime on television or radio, or print space.

Content Marketing

Content marketing is a kind of marketing in which a company systematically develops and disseminates a body of work designed to attract and keep a certain demographic. The ultimate goal is to inspire consumer behaviour that generates a profit.

Social Media Marketing 

Brand recognition and sales may both be improved via the use of social media marketing strategies. Social media marketing may make use of a broad variety of content types, including videos, memes, reels and so on.

Conclusion 

If you are someone who is interested in learning digital marketing, now is the time to get into digital marketing training. The search for the best digital marketing course is over as you get everything you need to become a proficient digital marketer with the Advanced Certification In Digital Marketing and MarTech by IIT Roorkee.

Artificial intelligence and machine learning: Top courses, skills, salaries and careers

Posted on by Imarticus Learning

In 2022, the scope of Artificial intelligence (AI) and machine learning will continue to grow as more businesses adopt these technologies.

AI/ML is already used in many industries, such as healthcare, finance, manufacturing, and retail. As these technologies become more advanced, they will likely be used in more industries.

For example, AI could help plan city infrastructure or optimize traffic patterns. The demand for AI/ML skills will continue to grow in 2022. As businesses adopt these technologies, they will need employees who know how to use them. There are many ways to learn AI and machine learning, such as taking online courses or attending conferences.

The salaries for AI/ML jobs will continue to rise in 2022. With the demand for these skills increasing, employers will be willing to pay more for employees who have them. In addition, as AI and machine learning technologies become more commonplace, workers with these skills will be in high demand globally.

Significance of AIML courses in today’s era

In today’s era, Artificial intelligence (AI) and machine learning are two of the hottest topics in the tech industry. There is a lot of hype around AI and machine learning and for a good reason. These technologies have the potential to revolutionize many industries and change the way we live.

AI and machine learning are already being used in several ways, such as improving search results on Google, identifying plagiarism, and helping doctors diagnose diseases. As these technologies continue to develop, they will become even more integrated into our lives.

e-learning training programs

That’s why it’s essential to learn machine learning now. If you want to stay ahead of the curve and be prepared for the future, then you need to understand these technologies. Luckily, several excellent courses can teach you everything you need to know about AI and machine learning.

Some skills you learn during an AI, or machine learning course include:

  • Statistical methods: You will learn about different statistical methods used for data analysis. This is important for understanding how machine learning algorithms work.
  • Programming: Most courses will teach you how to code in one or more programming languages. This is necessary for implementing machine learning algorithms.
  • Linear algebra: This branch of mathematics is essential for understanding how matrix operations work in machine learning.
  • Calculus: Differential equations are used extensively in machine learning!

Career scope after Artificial intelligence course?

Numerous career opportunities are available for those who complete a course in artificial intelligence (AI) and machine learning. With the right skillset, you could pursue a role as a data scientist, software engineer, research scientist, or business intelligence analyst, to name just a few potential positions.

Data scientists are in high demand across almost all industries, as they play a vital role in extracting insights from large data sets. AI and machine learning are essential tools for data scientists, so if you have these skillsets, you will be well-placed to pursue this career path.

Software engineering, research scientists and business intelligence are other popular career choices for those with AI and machine learning skills. These roles suit those with strong analytical & mathematical skills.

Learn and Grow with Imarticus Learning:

Imarticus Learning offers a PG program in Data Analytics & Machine Learning, an assured placement postgraduate program built for future data science experts. Students learn real-world applications of data science & build predictive models.

Why this Course:

Artificial Intelligence Training: Grasp foundations of AIML and learn the data science tools and be job-ready. 

Placement: The course comes with an excellent job assurance.

Best learning input: Live instructor-led sessions to provide the best student outcomes.

Practical Approach: Master skills through real-world projects, hackathons, capstone projects and mock interviews.

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

Learning data science and machine learning from IIT Roorkee is an experience

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Learning data science and machine learning from IIT Roorkee is an experience

Data science and machine learning are two important tools used in a steadily growing global IT industry. Their usage lies in how one uses data to innovate, improve and even create new products, services and other infrastructural practices to ease work in various industries. 

learning and development

At a time when data management is key can be the perfect time to venture into a career in data science. With high demand and comparatively less supply of labour in the coming years, the data science field yields high salaries and diverse growth opportunities. Read on to learn data science and machine learning and how they can improve and expand career growth. 

What is Data Science?

Data science is a field used to extract unstructured data and make it of use, using a series of programming languages, algorithms and analyses. This meaningful data is then used to improve and innovate any product or service/s that maximises business profits and builds better than their previous services.  

Skills needed

Pursuing a career in data science includes a few prerequisites. If you are interested, here are some of the skills needed in data science and machine learning careers that provide an edge in the competition: 

  • In-depth knowledge of programming languages like Python, Java and C++
  • Fluency in mathematics, statistics and data interpretation skills
  • Comfort in working with a huge amount of unstructured data
  • Skills in converting structured data into audiovisual representations
  • Knowledge of machine learning models and algorithms used 
  • Communication skills to present the data findings to stakeholders

Career paths

Here are some of the best career paths you can pursue after a certification course in data science: 

Data scientist

Their job is to organise unstructured data and present the findings to stakeholders. The data should simultaneously improve and encourage positive benefits in the organisation. 

Data analyst

Data analysts are focused on the cleaning and sorting of data and proceed to analyses. 

Data engineer

The job of a data engineer is to build usable systems and models through which data scientists and analysts can receive proper data information rather than unorganised raw data. 

Role of Machine Learning in Data Science

Machine learning is a data-driven field in the broader field of data science. Machine learning uses previous user data and uses certain algorithms to interpret the data. This is used to improve products/services in an organisation. ML models are often trained and their improvement is used to feed into the machines without manual intervention. 

How is Machine Learning useful to a data scientist?

Machine learning in data science fields is the newest and least time-consuming way to structure and organise company data into positive usage. The amount of data is steadily growing and the need of the hour is quick analysis. Manual or conventional systems are running out of fashion and benefits, which is where machine learning always comes in handy with its constantly updating technologies. Perfect-quality and accurate results are a win in today’s competitive IT industry, hence knowing the applications of ML is necessary for a data scientist and their progress. 

Adding a degree to skill: Career in Data Science 

To smoothen your career in data science, have a look at the certification course in Data Science and Machine Learning, created with iHub DivyaSampark, IIT Roorkee, by Imarticus. The course is designed to teach candidates the basics of data science and machine learning coupled with their applications in the industry. Taught by acclaimed IIT faculty, inclusive of capstone projects, career guidance and campus immersion scopes, the 5-month long course will provide an aspirant insight into the diverse job prospects in the data science industry. Book your seats now to learn more.

If your focus is set on a career in data science, this course is the right fit for you. As nearly all organisations, global and local, shift to financial technology and internet-based services, data management becomes the need of the day. Hence, data science careers are set to flourish, and you can be a part of this growth.

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How to make the most of your supply chain and analytics certification

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How to make the most of your supply chain and analytics certification

There are mainly three types of analytic approaches to Supply Chain Management, namely, Descriptive Analytics, Predictive Analytics and Prescriptive Analytics. Descriptive Analytics gives us an insight into what has happened earlier in the same or similar business houses for Supply Chain Management. The process is basically acquiring, summarising and rationalising large datasets to project new business insights.

Supply chain management course

The process of predicting the future with the usage of historical data gathered and then using different statistical tools or computer-based complex algorithms is known as Predictive Analysis. Nowadays Supply Chain Management Certification Course teaches Analytic Tools to prospective candidates. This is to forecast what will happen in the future. And the third mode of Analysis is Prescriptive Analysis.

This Analytics deals with real-time operation research tools to find out the correct decisions that shall lead to the best results in Supply Chain Management. This can be performed by several optimisation techniques. Predictive Analysis is the future trend of Descriptive Analysis, if there is no course correction. When the corrective measures are taken based on operation-based research and model simulation through computer-aided algorithms, the percentage of error in the Supply Chain Management process is reduced and thus the process is called Prescriptive Analysis, which ultimately leads to a 6-Sigma process i.e. a process with minimum error tolerance.

Predictive Modelling in forecasting Supply Chain Elements

Predictive Analytics examines all possible scenarios encompassing demand planning, cost, profit, inventory optimisation, logistics and much more. Predictive Modelling allows companies to gauge anomalies in their Supply Chain network and responds accurately given past conditions.

Predictive Modelling generally leads to two types of forecasting errors – overstocking and understocking. While overstocking creates havoc in the inventory and cash flow for all the stakeholders in the supply chain, understocking tends to make customers unhappy, making them turn towards competition.

Since any business would like to avoid the understocking situation, keeping more stock is better. However, overstocking leads to the Bullwhip effect. Excess inventory increases from retailers to wholesalers to manufacturers to vendors.

Thus in order to make Predictive Modelling more reliable, additional data other than the historical ones are required. Though used in the recent past, Predictive Analysis has proved to be of immense support to the planning team in a manufacturing set-up.

Why do Organisations use Predictive Analytics nowadays?

 Most of the business houses operating in Supply Chain Management are using Predictive Analytics in the recent past to increase their profitability percentage and volume. The key reasons are the following –

  • The growth of the Information Technology industry has given way to the growth of more and more accurate data.
  • The enthusiasm to use the data for business insight has also developed multi-fold.
  • Availability of computers.
  • Availability of interactive and easy to use & understand software.
  • Tougher Global Economic situation.
  • Fierce competition and hence the requirement to create uniqueness.

Thus under this present scenario, the Predictive Analytics tool cannot have the luxury of being used by Statisticians and/or Mathematicians. Over the course of time, it has become the default tool for a Business Leader who seeks excellence in operation and also wishes to maximise the bottom line.

Important features of Predictive Analytics 

The most important features for which organisations use Predictive Analytics Modelling are Detecting Fraud, Reducing Risk, Improve Operations and Optimising Market Campaigns. The model uses the feature of detecting the location of the error in the respective function; so that it may be course-corrected.

 Detecting Fraud – The tool can help organisations in the detection and prevention of criminal behaviours of imposters posing as associated partners or even competitors. These are cyber crimes, which create havoc in the secured database of an organisation.

 Reduction of risk – Creditworthiness (credit score, etc.) of a customer or credential (past performance records) of a prospective vendor may be worked out using these tools and hence supports de-risking of business.

Improve Operations – Organisations take the help of this modelling system in cases of asset optimisation and management of inventory and resources. In the hospitality business, capacity utilisation can be predicted for a particular time of the year. Thus hotels can plan their inventory and resources accordingly. Airlines also hike or reduce fares using historical data for a specific time of the year and can make similar arrangements for their assets, as well.

Optimising Market Campaigns –  Purchasing habits including quantum and frequency may be recorded by the history data. Thus these records may be used by the organisation to make more efforts for promising customers and lesser for those expected to conclude in cold calls quite often. 

Career as Supply Chain Analyst 

Prospective candidates should complete an offline PG course or a Supply Chain Management Online Training prior to enrolling themselves in the Supply Chain Management Certification Course. The  IIT Supply Chain Management Course at Imarticus which provides live online training will help you to become an expert in this field. The knowledge of Supply Chain Management will help the candidates understand the functional aspects of the core subject while the certification course will help them evolve as Data Scientists or Consultants in Supply Chain Management, depending on the enthusiasm, dedication and exposure of the candidates. There is no second thought that it would be a great and rewarding career. 

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Managing risks in financial services: 2022 edition

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Managing risks in financial services: 2022 edition

With a mix of adaptability, the use of technology and, in the case of banks, balance sheets that had been significantly strengthened in the wake of the financial crisis, financial services organisations were generally able to weather the first pandemonium of the epidemic quite successfully. The current difficulty facing financial services companies is deciding what they want to maintain from the adjustments they made in response to the pandemic.

Although the risks that financial services companies face are institution-specific, a few high-level dangers are common to all businesses, regardless of location or industry. 

Many are also choosing a career in financial services. You may ask why, well the answer is that risk in financial services provides a thorough introduction to the main risk factors in the financial services industry.

best derivative market course

It gives a solid foundation in the principles of the risk management framework, corporate governance and risk supervision while addressing global concerns and reflecting the demands of a global market. You can also opt for PGDM in financial management. There are many courses but the IIM Lucknow certificate courses can assure you the most detailed knowledge and career security.

These are the top financial risks facing organisations that work with credit in 2022.

Credit Risk

First is the credit risk. Moreover, two years have passed since the pandemic first appeared, and more than five months have passed since Russia invaded Ukraine. As a result, the asset quality in the most fragile economic sectors is beginning to decline.

The potential for a short- to medium-term worsening of the credit risk picture for banks only serves to emphasise the importance of our supervisory goals for the upcoming two years. It is crucial that banks have strong provisioning and risk management procedures in place, especially in the area of credit risk. Credit risk analysis is absolutely essential for the survival of any financial institution or lender. Credit analysis is important for the success of many financial decisions and investments in the form of credit.

Data Management

A strong approach to data governance is becoming more and more necessary. Firms must first accept that data is a crucial strategic asset before developing a company-wide strategy for data collection, management, storage, security, retrieval and disposal. Create a business-specific approach to data governance, in other words. 

Successful data governance will offer a number of advantages, including improved record-keeping, increased line of sight to risks being run in a hybrid working environment and the capacity to adhere to the recently agreed-upon reporting standards for climate risks.

Operational Toughness

The epidemic is nothing if not a test of the financial services industry’s operational resiliency. Businesses should, at the very least, think about operational risk management, which identifies ongoing threats both internal and external, as well as potential breakdowns in people, processes and technology. 

Additionally, businesses must swiftly determine the critical operations’ weaknesses and manage the ensuing risks in line with the operational resilience strategy. They must also take governance, mapping of connections and dependencies, third-party dependencies, incident management and IT into account (including cyber-issues).

Compensation

This issue was immediately the first thing that the Financial Stability Board (FSB) preached after the financial emergency, enforcing supranational remuneration standards that aimed to promote better risk-conscious behaviours. This shows how important compensation, remuneration and good bonus design are perceived to be. Naturally, it was in September 2009, and the FSB is currently reviewing the overall implementation and practical impact. 

The seventh progress report from the FSB examines the methods used by the biggest financial institutions in the banking, insurance and asset management industries. It highlights the uneven development of the principles and standards implementation, with banks appearing to have made more progress than insurance and asset management companies.

Conclusion

The markets are quite volatile and unreliable, especially in modern times where small trends can cause enormous ripples. A large number of threats are always developing in front of businesses. There are also dormant threats that aren’t now on our radar, and it is always essential to prematurely identify them.

A possible economic recession would have a negative impact on banks’ profits by increasing the cost of borrowing money and deteriorating asset quality. All of these elements may have an impact on financial stability and significantly lessen the likelihood that banks would survive the pandemic stronger. 

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Stop looking for data analytics courses with placement: Read this instead

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Stop looking for data analytics courses with placement: Read this instead

Data analysis determines the most profitable insights from a set of data that push a company’s business growth. A data analyst uses beneficial data to solve immediate problems and simultaneously increase profits. 

Data analytics careers have become crucial in the competitive global IT industry. Over eighteen thousand job openings remain in the Indian BFSI sector in 2022, with the number to only increase in the coming years. This is the right time to learn data analytics as a career option. Read on to know more about data analysis, the available courses and what they entail in addition to data analytics online training. 

What is Data Analytics?

All organisations receive unsorted, raw data that need classification. Data analysis involves collecting raw data and processing it into meaningful reports for the company to benefit from. It deals with analysing the data that influence economically viable business results. To learn data analytics is to classify the needed data from the bad and pass on suggestive reports to the company stakeholders to implement the findings. 

The process of Data Analysis 

Post an individual can learn data analysis, their career as a data analyst should follow the five steps of work for the process to function correctly. Here are the following steps: 

Identify the data crisis/question at hand

The analyst needs to identify the data problem of the company. Their goal should be to pinpoint a tentative conclusion by solving the question.

Collect the data

In accordance, the data analyst should collect a significant amount of data. They usually collect primary or secondary data from the company’s CRM software, email tools, or open-access sources. 

Clean the data

Omitting unnecessary data is one of the longest and most crucial stages in data analysis. The massive data collected could be distorted, repeated, wrong or useless to the project.

Analyse the data 

The data finally needs to be analysed by comparing past trends, using the specified analysis methods and questions etc. It needs to be sorted and made useful for company benefits. 

Process the data into reports 

Finally, the data analyst turns numbers into verbal/audiovisual remarks to the company stakeholders. The information is to be processed into a mode understandable by everyone and influences the company’s business decisions. This step also exposes the upcoming or ongoing data trends in the company.

Data Analytics courses: an overview

Here is a broad overview of some of the best data analytics certification courses and what they hold for you: 

Eligibility

Other than PG specialisation degrees, there are data analytics online training courses that one can pursue. The usual eligibility criteria to pursue a data analytics course is a bachelor’s degree, preferably in computer science/statistics/engineering fields with a minimum 50% aggregate or the equivalent passing marks. 

Skills

Data analysts require fantastic statistical abilities. Working with numbers and unsorted data takes up the entire time of data analysts. In addition, knowledge of different machine learning models and programming languages such as Python or Oracle is important. Lastly, they need to have a critical mindset. While analysing data, they should have command over good communication skills that helps them interact with the business stakeholders.

Job opportunities 

Data analytics jobs are on the rise in the market. Almost all organisations require data science careers to support them. Various roles like statisticians, business analysts, data analysts, and even data engineers are available in the data science industry. The average salary for a beginner-level data professional is INR 11 LPA with the number only increasing. 

Learn Data Analytics: courses in India

While on the search, choose the best data analytics certification course, the PG program in Data Analytics and Machine Learning by Imarticus. The course focuses on applying data science and ML models in the job market and using them in real-world business results. The PG course is an ideal bridge between graduation and deciding your career opportunities while enhancing your degree. Inclusive of capstone projects, real-life case studies and assured placement in data science, this course is a fit for data analysis online training. Book your seats now to know more. 

Now, when data plays a crucial role in any globally competitive industry, data science jobs are on the rise. It includes a diverse range of career options and is a dynamic field with scopes to only increase. Data analytics online training hence is a good decision while you prepare for better career choices.

How to know if an investment banking course is worth it

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Investment banking involves a wide range of financial consultancy and its beneficial management for individual customers and organisations. As simple as the term might seem, it is one of the toughest skills to apply practically, with diverse jobs in the fields of management, finance and accountancy. An investment banking certification course is a good way of deciding which path you want to venture into. 

Read on to know more about how an investment banking course is worthwhile for your career. 

Investment Banking Certification Course: An Introduction

An investment banking certificate course includes the in-demand theoretical skills coupled with job-ready practical skills required to compete in the industry. The courses make one learn financial services like financial stability, asset increase, investment risk management and dealing with corporate finance. A ground-level financial markets training is also an essential part of the course. Investment banking courses include finance models, economics, MBA-related skills and other basic finance methodologies. 

Here is a short introduction to what investment banking courses require and their output for the candidate. 

Eligibility

To pursue an investment banking certification course before the undergraduate (UG), a candidate needs to have at least 50% or equivalent passing marks at the 10+2 level. The courses give the candidate a chance to learn financial services beforehand. Post this, they can also venture into finance-related bachelor-level degrees. 

To pursue a postgraduate (PG) level course, candidates require at least 45% or equivalent passing marks in their bachelor fields. However, most PG courses require candidates to clear national entrance examinations and interviews to get into. 

Course Fees and Duration

Many of the courses that include financial markets training are for a duration of 1-3 years. The certification courses are usually a year long, while the PG diploma degrees can vary for 1 or 2 years. 

A certificate course in investment banking from India will range from INR 8,000 to INR 22,000 rupees, depending on private and government institutions. 

Placement Opportunities and Salaries 

Here are a few lucrative job profiles for a candidate post an investment banking course: 

Business Analyst

A business analyst studies and determines the recent trends in the finance market to chalk up a plan for the customer/company that will benefit them during an investment and earn profits. 

Finance Manager

A finance manager’s duties include spearheading the finance team in an organisation. Their job is to check finance reports, plan regular meetings and keep the team’s performance in check and communicate this to the stakeholders of the company. 

Bank Branch Manager

A bank manager supervises the entire workings of the bank they are put in charge of. They are in charge of managing all finance departments in the bank wherever required. 

Investment Writer 

With an interesting mix of content writing and finance, the job of an investment writer is to produce finance-friendly content for a beginner as well as a versed audience. The articles they write give the audience an insight into the benefits of the organisation and why choosing it would be a good decision. An investment writer makes around INR 3-6 lakhs per annum. 

The professionals related to investment banking and finance are quite well-paid. The starting salary ranges from INR 10 lakhs per annum to INR 15 lakhs with bonuses and increments. A high-level investment banker earns more than INR 35 lakhs per annum inclusive of bonuses, increments and other perks. 

How is an Investment Banking Course Helpful?

A finance graduate with a knack for investment banking can choose from a myriad of options to delve into. An investment banking certification course helps them to figure out what field of specialisation they are interested to pursue. Through the courses, candidates can learn about real-life job skills while putting theoretical knowledge to use. A course hence provides an educative bridging gap between the job and degree. Candidates get to learn financial services at their own pace while only moving forward in the competition for jobs. 

Adding the Degree to Skill: Best Courses in India

Job-relevant skills are important criteria when choosing the perfect investment banking certification course. Gain exposure to one of the best investment banking courses with the Certified Investment Banking Operations Professional (CIBOP) course by Imarticus. The CIBOP course comes in with a job assurance as well as exposes the candidate to important investment banking operations through 180 hours of in-classroom/online live training. Book your seats today to learn more about the investment banking industry. 

In a fast-growing world highly driven by IT and finance, investment banking has become one of the key job roles. A proper investment banking certification course to learn financial services goes a long way in securing a bright, successful career in the competitive job market. 

The only investment banking course that your career needs in 2022

Posted on by Imarticus Learning

The only investment banking course that your career needs in 2022

Investment banking as a career choice can be lucrative yet challenging. On one hand, your job might prove to be exhausting at times , while on the other hand, your rewards would be handsome enough to make your hard work seem too easy. The rapidly growing industry is expected to have an 11.9% CAGR (Compound Annual Growth Rate) between the years 2021 and 2022, thus making it ideal for you to learn investment banking at the earliest possible opportunity. 

The job is quite hard to get into because for a single job vacancy in the market, there are millions of applicants. So how to make your resume pop for the recruiters in that ocean of applicants? The answer is an investment banking course, which is proof of your stellar academic credentials. But before you go for the course, you should know what exactly the field demands.

Who are investment bankers?

Investment bankers are those financial experts who are responsible for managing the financial and investment-related decisions of their company, a bank or any other financial institution. In this field, your job profile would include administering securities, overseeing investments, generating capital, and so on. The primary role of any investment banker is to raise sufficient funds for their organization to help the organization grow and operate in an efficient manner. So, if you have a knack or intuition for numbers, then this field can be ideal for you, because, for this sector, showcasing only your degree is not enough.

How to start an investment banking career?

In India, it might take you approximately 7 years to complete your academics and relevant accreditations to becoming an investment banker. Here’s what you have to do:

Step 1: Complete your academics

Your investment banking career will start with baby steps, like first completing 10+2 from any stream of your choice. However, opting for the commerce stream might prove beneficial because you will get early exposure to subjects like business, accountancy and so on. Completing 10+2 is followed by completing graduation and post-graduation from reputed institutions, where you have to opt for subjects like investment, business administration, taxation, corporate finance, and likewise.

Step 2: Opt for a certificate program

To upskill yourself and make sure you stand out in an ocean of applicants, opt for a certificate program like the one offered by Imarticus. The Certified Investment Banking Operations Professional Course offered by Imarticus is a 180-hour course that prepares the learner in the most relevant skill sets required for the field. Paired with the required career assistance, this course is your next step to becoming a successful investment banker.

Step 3: Look for an internship

The next step is to search for and acquire an internship that will give you exposure to the real-life experience of an investment banker. The tenure of these investments can be anywhere between two years to two months. These internships are important as they offer you a chance to enhance your soft skills like communication, negotiation, presentation and likewise. 

Step 4: Secure a job

The final step is to grab your dream job. If your internship performance is beyond expectations, then you might be offered a permanent position in the same organization. You can also look for your dream job from various other job portals, on-campus hiring, job fairs, etc.

Investment banking courses: What factors to consider?

The ideal way to jumpstart your investment banking career is to opt for an investment banking online course. But, there are tons of online courses available at your disposal. So how to choose the perfect one? Here are two things to keep an eye on:

Course relevance

As mentioned earlier, there are many course options for you to choose from. But not all the courses are relevant for the job profile you seek to achieve. The FRM or Risk Managers have a very different criterion than traders, so you must choose a course that caters specifically to your needs and demands.

Brand value

Recruiters do not have the luxury to spend hours on each CV. They’ll only spend mere seconds for each application, which is all you get to make your impression. Simply relying on the academic degree or certain work experience is not enough, and you need to add some brand value to your CV with the help of relevant certificates from reputed institutions or online platforms. These will successfully showcase your capability and interest to work in the said field.

Summing up

This article sums up everything that you need to do to kick start your dream career in investment banking. Apart from the obvious monetary benefits, this job profile will also offer you the much-required personal growth owing to the fast-paced working environment. This field also offers fast professional advancement and a chance to learn new skill sets every day.

Finding The Data Analytics Course To Fit Your Needs

Posted on by Imarticus Learning

What is Data Analytics?

Data analytics includes extracting valuable information from data. It refers to the examination of data to find patterns and trends. You can put data analytics to use in multiple areas.

It can predict future trends, optimise business processes or even help decision-making. Using the online course on data analytics, you can tell tales of your journey from joining the best data analytics course to placement.

Data analytics is a powerful tool utilised in almost every field, from healthcare to marketing. It is mainly used in the business world. Businesses use data analytics to understand their customers better, improve their products or services and make smarter decisions.

What are the Best Data Analytics Courses in the Market?

Data analytics is a field that is growing at an exponential rate. It is only imperative to keep up with the latest developments and trends. The best data analytics courses are updated regularly and focus on practical skills. They should also be taught by industry experts who have experience in the field.

Many data analytics courses are available online, but most are not worth the money or time. The best data analytics courses will teach you how to use the latest tools and techniques for analysing data and apply these skills in real-world scenarios.

Professional industry experts teach the best data analytics courses in the market with years of experience. These courses are designed for online learners wanting to learn from the comfort of their homes at their own pace. Learn data analytics from your remote location through a course covering every area dynamically.

Data analytics is a skill that can be learned by almost anyone willing to take it up. Some of the people who can learn data analytics are:

Business Professional

A business person can use data analytics for marketing and customer insights.

Marketing Professionals

As someone with a marketing niche, you can use data analytics for customer analytics, product analytics, social media analytics, etc.

IT Professionals

As an IT professional, you can use data analytics to monitor and identify trends.

How to Choose Which Data Analytics Course Fits Your Needs

Data analytics is a field that is multiplying. It is a crucial part of the modern business process as it helps companies to make better decisions and improve their performance. Hence, you must choose the right course for your needs. There are many courses available online, but not all of them offer equal benefits.

The best way to find the right path for you is to research and compare different courses. Ensure to check the reviews, ratings and feedback from students who have already taken the course before you decide on your choice. The first step is deciding on the type of data analytics course you need. Many types of data analytics courses are available on the market, each focusing on a different area and providing different skill sets.

If you wish to learn the specifics of data analysis software, you should take an online course to use that particular software. If you want to know how to create your models and predictive analytics, then a more general approach would be more appropriate for your needs.

This model offers a more extensive model for determining why one should take up a data analytics course:

It helps you extract meaningful insights from data, which you can use to make decisions that can positively impact an organisation.

You learn various techniques and tools required to work with data sets, including statistical analysis and predictive modelling.

You learn to use various programming languages, such as Python and R.

Start Learning Today With the Best Data Analytics Course for Your Needs

We reside in an age where data is ever-growing. And with that, the demand for data analytics professionals will also increase. Besides, many people are looking to start learning data analytics today. And if you are one of them, then you should know that there are many different courses for your needs. However, if you are looking for a course handpicked explicitly for your needs, then you can go for the data analytics online training. With the growing demand for professionals, there is no better time than now to invest in your future as a data analyst.

An introduction to the money market in a digital age

Posted on by Imarticus Learning

An introduction to the money market in a digital age

The money market is a significant financial market involving funds transfer between institutional investors (banks, insurance companies, and pension funds) and financial institutions. It is a place where individuals trade their savings for investment products such as bank deposits or bonds. 

What are the money markets?

There are many ways to invest and borrow money in the digital age. One of these is through a money market.

Money markets are where people and businesses can invest their money or borrow and lend it. Three main types of money markets are official (also called central), interbank (or wholesale), and unsecured. Money markets are open to all comers. They do not have regulatory oversight and therefore offer high transparency for their participants.

How does the money market work?

The money market is the financial market where short-term debt instruments get traded. It’s a place to go when you want to buy or sell something due within one year but don’t want to pay an interest rate.

The money market is different from all other types of markets in that it has no set price—it gets determined by supply and demand and constantly changes based on those factors. For example, if more investors buy shares than sell them at any given time, then prices will increase until supply equals demand (or vice versa). 

This leads us back to again: if more investors decide that they want fewer shares than there are available for sale at any given moment, then prices must fall until there’s enough supply again.

Who uses the money markets?

Financial institutions and corporations use the money market. Banks also use the money markets to fund their customers’ day-to-day transactions. Financial institutions such as insurance companies or hedge funds regularly use spot transactions with other financial institutions. 

Corporations use treasury bills (short-term loans) to finance long-term investments in projects and goods that are not immediately profitable but will yield future profits. At the same time, governments often borrow short-term from central banks at low-interest rates to fund their budgets without resorting to raising taxes or cutting spending programs. 

Finally, individuals can purchase Treasury bills or T-bills through brokers who act as intermediaries between buyers and sellers of these securities; these brokers charge fees for their services which vary depending on how much volume you buy/sell at any given time (more volume = higher cost per unit).

The money market is a primary part of the financial system. It provides liquidity to the financial system and helps enable efficient price discovery. It also plays a vital role in monetary policy, allowing central banks to influence interest rates. 

Discover Money Market Course With Imarticus Learning

Learners can start a career in the financial markets with the aid of the Certified Investment Banking Operations Professional program. Learners who complete this investment banking course online will acquire the skills and knowledge required to succeed in banking and clearing services at all production stages. 

Course Benefits for Learners:

  • Students will learn investment banking and financial services, including managing complex derivative products and securities throughout their trade-life cycles.
  • The student will also receive the support required to launch their career in investment banking.
  •  Finance, strategic planning, financial management, and the evaluation of investment prospects are all topics covered in the investment banking certification curriculum.

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

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