Everyone In India Is Opting For Investment Banking Courses. Here’s Why

Everyone In India Is Opting For Investment Banking Courses. Here’s Why

Investment banking has grown into one of the most sought-after careers in India. In fact, the country has become a leading talent destination for investment banking. Apart from the domestic IB banks and corporations, many multinational investment banks like HSBC, JP Morgan, Merrill Lynch, Citi Bank, Goldman Sachs, etc. also come to India for good reasons like lower operating costs, and a talented workforce, among many other reasons. 

India offers a much cheaper workforce for investment banks as compared to countries like the UK and US. Besides, domestic companies like TCS, Wipro, and Syntel also offer great opportunities to individuals who want to build a career in the banking sector. Overall, investment banking is a rising career field in the country, which is expected to thrive even more in the coming years. In this article, we will discuss the top reasons why more and more individuals are opting for an investment banking career in India Read on! 

What is an Investment Bank?

Before jumping on the reasons behind the popularity of IB careers, let’s first understand what investment banking is all about! 

An investment bank is a branch of finance and banking that helps the government, companies, and other corporations in raising capital through the issuance of securities, underwriting, or both. Further, it also helps corporations in mergers and acquisitions (M&A) along with other services like issuance, trading, placement of stocks, and so on. 

Not just in India, but investment banking is a booming industry in the world. Hence, being an investment banker is definitely one of the most promising careers in today’s time. The main reason is that the IB profile plays a vital role in businesses. Note that the job of an investment banker is not simply limited to advising firms on fundraising activities and M&A, but it also involves connecting investors to companies, facilitating complex transactions, etc. 

5 Reasons Why More and More People Are Opting for Investment Banking in India 

With investment banking, one gets an opportunity to become an expert at structuring large, and complex financial models at the beginning of their career. And because bankers spend long hours in the research and valuation process, they can also become great investors if they want. 

Given below are the reasons why investment banking is being chosen by an increasing number of individuals:

1. Attractive Pay 

Investment banking is a highly rewarding job. Investment bankers in India have attractive salaries. Note that, the average salary of IB in India is ₹20 lakhs per annum, for professionals with just 1 to 4 years of experience. This figure keeps growing as you gain more expertise and experience in the field. 

2. Become an Expert 

Every day is different from the previous day in investment banking. An investment banker faces new challenges and exposure every day. This phenomenon presents a great opportunity to gain expertise in the field from the beginning of one’s IB career. 

3. Exposure to High Profile Transactions

Until it was announced publicly, the work of an investment banker was highly confidential. They are involved in high-profile transactions that include the government, as well as large national and international corporations. In short, investment bankers play on the first page of business. 

4. Surrounded by Talented Individuals 

Investment banking offers a never-ending opportunity to grow your knowledge and enhance your skills. Here, you work in a field with the most talented individuals from every corner of the world. And because you’ll be working in a competitive environment, you will see fast personal growth. 

How to Get Started in Investment Banking 

Investment bankers are the deal makers. So, the very first deal you need to crack in order to get into the field of investment banking is getting hired for a job. But how? What are the eligibility criteria to do so? 

A major prerequisite for getting into IB is a college degree in economics or finance from a reputed institute. An MBA degree, Chartered Financial Analyst (CFA) certification, or an advanced degree in math can help in improving the prospects. Additionally, you can also learn investment banking by enrolling in the best investment banking courses with a job assurance guarantee. These courses not only enhance your skills but also help you in landing the right jobs. 

To Sum Up… 

It is clear from the above article that an investment banking career is highly rewarding. It presents you with an opportunity to become an expert, get exposed to high-profile businesses, and grow yourself financially in a short period of time. However, getting into this field isn’t a piece of cake. So, if you really want to become an investment banker, then work hard with full focus and devotion and take up a relevant course. Once you do that, nothing can stop you from becoming a great investment banker. 

Switching careers to data science post-pandemic? A certificate program in data science and machine learning will help

Switching careers to data science post-pandemic? A certificate program in data science and machine learning will help

We all know how the COVID-19 pandemic has shaken social norms and reshaped business practices, impacting some industries more than others.

Moreover, the pandemic has forced us to grow accustomed to learning everything online. So, why not use it to advance our careers in new and exciting ways?

If this sounds interesting to you and you plan to make a career switch to the field of data science, read on.

The field of technology, especially data science, is among the few areas that saw an increase in job opportunities during the COVID-19 pandemic.

This increase in opportunities was because all businesses were compelled to go digital. Their dependence on understanding and interpreting data became essential during the lockdowns and work-from-home setups.

Since going completely digital is the ‘new normal,’ the main focus of all businesses now is on ways to revitalise themselves and gain momentum with data’s help.

The phenomenon will help them better understand customer behavior and derive meaningful insights from them. 

The demand for data science specialists is thus rising, even though supply is somehow limited. Due to this severe talent shortage, there is a golden opportunity for graduates, software engineers, and even novices to switch to the field of data science. 

For a seamless career shift to data science and machine learning, you can apply to Imarticus Learning’s certificate program in data science and machine learning, designed in collaboration with iHUB DivyaSampark at IIT Roorkee. 

Data Science And Machine Learning Career Paths

We have discussed in detail how you can make a career switch from different fields to the sphere of data science and machine learning.

  • For Individuals with a Bachelor’s degree in Mathematics, Statistics, and Computer Science

If you have a degree in mathematics, statistics, or computer science, you have an excellent chance to succeed in the rapidly evolving field of data science.

However, even if you have a strong foundation in mathematics and statistics, or have basic coding experience because of your computer science background, simply being a graduate will not help you secure a job as a data scientist.

To stand out and advance your career in data science, you must learn and have work-ready experience in different programming languages, including R, SAS, Python, Tableau, Hadoop, and Spark.

You should also improve your ability to work collaboratively with other developers on GitHub, learn about cloud-based model deployment, and be familiar with Docker and Docstrings.

Our data science and machine learning course combines comprehensive case studies, theory, and hands-on experiential learning and is ideal for recent statistics, computer science, and mathematics graduates.

With the help of this certification course, you can surely get all the features and facilities mentioned above right from the comfort of your home.

  • For Individuals with a Bachelor’s degree in Other Disciplines

Suppose you are a novice with a degree in a course unrelated to data science, such as commerce, business administration, or medicine.

In that case, your odds of finding a data science job are relatively low compared to a computer science graduate or employed software engineer.

However, you can do away with this disadvantage by taking a data science course. All you need is hard work and the ability to learn quickly. You would be happy to know that many technology companies prefer self-taught data, science professionals.

Beginners in the field are also encouraged to join our 5-month online course, as it equips them with the practical knowledge required to make data-driven decisions and secure their dream job quickly.

Benefits of Our Certificate Program in Data Science and Machine Learning

Following are some key benefits that our students enjoy after getting enrolled in this course : 

  • The Imarticus Learning Data Science and Machine Learning Course are designed to help you begin your data science and machine learning journey, regardless of your level of knowledge in statistics, analytics, or coding.

  • This programme has been created in collaboration with iHUB DivyaSampark @IIT Roorkee. It will teach you the fundamentals and forms of information science and machine learning. Moreover, it will also provide you with the necessary knowledge to implement and apply these concepts to real-world problems.

  • The course has a holistic curriculum full of projects and exercises to help you get all the necessary practical exposure and hone your job-relevant skills.

  • In this 5-month programme designed by renowned IIT faculty members, you will learn to use data mining and machine learning tools with Python. You will also learn how to use data-driven insights to impact organisational growth positively.
  • You will get additional chat support and undergo online career counselling sessions.
  • The course is scheduled for weekends, so you can complete it at your own pace and with the utmost comfort.

You can advance your data science career by enrolling in our Data Scientist course to make a switch to job roles like data scientist, business analyst, data analyst, or machine learning engineer.

Final words

We at Imarticus Learning have validated and customised applied learning solutions ideal for beginners and working professionals who want to update their skills and data science knowledge.

So, if you are looking for a quantifiable program offering practical knowledge through engaging sessions and project work, check out our course.

This helps make a robust career in the field of data science and make a swift switch to it. To know more, contact us through chat support or visit our nearest training centers in Bengaluru, Chennai, Ahmedabad, Thane, Pune, Mumbai, Gurgaon, or Delhi.

Information security analyst: Courses, career opportunities, and salary in India

Information security analyst: Courses, career opportunities, and salary in India

Information security analysts protect computer networks run by non-profit organizations, government undertakings, and private businesses. With analytical skills, they recognize loopholes in the digital security system of a company. This enables it to keep its proprietary and sensitive information secure. Further, they make use of this mined data to recommend various efficiency and network security strategies.

In the case of a data breach, they lead company efforts to combat such entry and obstruct one from arising again. Such efforts may either reduce the harm it causes or thwart a breach. 

It is a fact that technology will continuously evolve. This includes the software and hardware required for encryption, analysis, storage, and data transmission. An information security analyst must have up-to-date knowledge of emerging and current cyber-attack strategies and security systems. 

Although these methodologies alter, the underlying objective to keep an organization’s confidential information secure remains constant. Candidates who wish to become information security analysts can expect an ever-changing, rewarding, and challenging path. 

Read on to know more!

What Courses Are Needed?

At first, an aspirant can pursue a bachelor’s degree in domains such as engineering, computer science, mathematics, or cyber security as a stepping stone. In certain cases, with apt cyber security certifications, security experts with associate’s degrees or/and similar backgrounds or training (such as military service) can bag cyber security jobs at the entry level.

One thing that distinguishes cyber security from other fields is the number of mid-career and entry-level opportunities that need certification that demonstrates proficiency in a specific skill.

Therefore, candidates planning to become information security professionals must know what types of certifications suit the multiple jobs within this field. 

Here are the top cyber security analyst courses that will make you job-ready:

  • Advanced Certification Program in Cyber Security 

The Advanced Certification Program in Cyber Security is a comprehensive course that covers incident handling, application security, cloud security, ethical hacking, and information security fundamentals. 

online learning

In partnership with IIT Roorkee, the curriculum offers thorough lab sessions on real-world issues and equips students with in-demand security skills and tools. Additionally, this cyber security training facilitates career mentorship, mock interview, resume-building, and capstone project and evaluations.  

  • Post Graduate Program in Cyber Security 

In collaboration with EC-Council, this PG course in cyber security offers the best learning experience to aspiring information security experts. The project-based course prepares students for the job roles of an ethical hacker, SOC team expert, incident handler, penetration tester, and cyber security analyst. 

This course helps students to crack various security exams such as CompTia Security+, and EC-Council Certified Ethical Hacker. Its career services include mock interviews, interview workshops, resume-building sessions, and placement assurance. 

Are There Any Specific Qualifications?

Here are some additional qualifications that experienced cyber security professionals may consider for career growth: 

  • CISM (Certified Information Security Manager)

The CISM certification is a qualification for experts with a work experience of at least 5 years in this industry. One should complete the required work experience of 5 years before obtaining the qualification. Further, this includes 3 years (minimum) of work experience in the information security management role. 

To get the accreditation, one should have finished their work experience within 10 years before applying. 

  • CISSP (Certified Information Systems Security Professional)

To opt for this qualification, one should work at a managerial level or must be a consultant with a work experience of nearly 4 years or above. This qualification includes 8 cyber security disciplines, such as identity & access management, security engineering, and asset security. 

  • SSCP (Systems Security Certified Practitioner)

Professionals with 1 year of work experience can prove their security knowledge and technical skills with this qualification. To crack this exam, they should have up-to-date and comprehensive cyber security knowledge, including cryptography and risk identification. 

What Are the Career Prospects?

As information security is a major concern for companies worldwide, properly credentialed, well-trained information security analysts are in high demand. So, job prospects are favorable overall.

As per the BLS (Bureau of Labor Statistics), jobs for information security analysts will grow by 28% between 2016 and 2026. Additionally, the U.S. News lists information security analyst as the 4th best IT job during 2019 and beyond.

In simple words, a wide range of companies is seeking data security solutions. Due to this high demand and short supply, their salaries are elevated. Getting a package of USD 10 to 15 LPA is easy for security experts.  

Some of the top recruiters of information security analysts are Boeing, Capital One, Intel, Cisco, Patient First, and Apple. 

Conclusion 

The market trend is in favor of information security professionals. With proper credentials and training, technical security experts can be a part of one of the world’s most valuable job markets. Demand for cyber security and information technology will only grow. Cyber security analyst courses like that of Imarticus Learning, along with proper training, can help you propel your career in this field. 

Top 5 Commonly Used Supervised Machine Learning Algorithms

Top 5 Commonly Used Supervised Machine Learning Algorithms

Machine learning algorithms can let machines do surgery, play chess, and become more intelligent and human-like. We are in an era of continual technological advancement, and by seeing how computers have developed through time, we may make predictions about what will happen in the future. 

The democratization of computer tools and methods is among the revolution’s key distinguishing characteristics. Data scientists have created powerful data-crunching computers during the last five years by effortlessly implementing cutting-edge methodologies. The outcomes are astonishing.

Supervised machine learning algorithms are the common ways to solve problems in supervised classification. Supervised machine learning algorithms operate on both sets of data by finding patterns within supervised learning algorithms to classify new unseen unlabeled datasets.

5 COMMON MACHINE LEARNING ALGORITHMS 

 

  • Linear Regression

 

One of the well-understood algorithms in statistics and machine learning is linear regression. At the price of explainability, predictive modeling primarily focuses on reducing a model’s error or producing the most precise forecasts. 

 

  • Logistic Regression

 

Don’t be misled by the name! It is a classification method rather than a regression one. Based on a collection of independent variables, it estimates discrete values (binary values like 0/1, yes/no, and true/false) (s). It determines the likelihood that an event will occur by fitting data to a logit function. It is known as logit regression as a result. As a result of predicting the likelihood, its output values range from 0 to 1.

 

  • K-Means

 

It is a technique for unsupervised learning that addresses clustering issues. Data sets get divided into a certain number of clusters— let’s call it K—in such a way that each cluster’s data points are homogeneous and heterogeneous from those in the other clusters.

 

  • Decision Tree

 

Nowadays, a widely used machine learning algorithm is the decision tree algorithm, a supervised learning technique used to categorize issues. For both categorical and continuous dependent variables, it performs well when categorizing. 

 

  • Dimensionality Reduction Algorithms

 

Businesses, governments, and research institutions store and analyze enormous volumes of data in the modern world. As a data scientist, you know that a wealth of information gets included in this raw data; the difficult part is identifying important patterns and variables.

Explore Machine Learning and Artificial Intelligence Course with Imarticus Learning.

Attend the E & ICT Academy deep learning Artificial Intelligence certificate program to discover how to become an AI engineer. This machine learning certification will help students prepare for careers as data scientists, data analysts, machine learning engineers, and AI engineers.

Course Benefits For Learners:

  • To get practical industrial experience and prepare for a fulfilling data science career, students work on 25 real-world projects.
  • You may amaze employers and demonstrate your talents with a certificate authorized by the E & ICT Academy, IIT Guwahati, and an Imarticus Learning-endorsed credential.
  • This artificial intelligence course will help students land lucrative jobs in machine learning and artificial intelligence.

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

A step-by-step guide to building a data science portfolio

In the field of data science, it is integral that you have an impressive portfolio if you want to get a good job according to your skill level. Employers are constantly sceptical about people lying on their resumes and that is why they require the candidates to have proof of the work they have done previously before they hire them. You might have a lot of experience in the field as an intern or as an employee. But to have a good career in data science, you will have to convey that well to your future employers, and that is where a good portfolio comes in. 

Why is a Good Portfolio Important for a Data Science Professional? 

You might be wondering why is a good portfolio so important in the field of data science. The answer is pretty easy: because that is what employers are looking for. A portfolio is used to demonstrate your skills and all the certification course in data science, or work you have done previously. It impresses employers when they see that you not only have the knowledge, skills and certifications but also hands-on experience in the field. This boosts their confidence in your capabilities and also makes the hiring process much easier. They will interview you, but having a good portfolio will impress them and also make it clear to them that you take this career path seriously and that you have the necessary skills to back you up. That is why, if you are looking to get a job in the data science industry, you should invest in a good portfolio that will highlight your skills and experiences. 

Some Tips and Tricks to Make Your Data Science Portfolio Outstanding

Now that we have explained why you need to have a stellar portfolio to build a great career in data science, let us talk about how you should go about doing that. In simpler words, what are some of the ways to make your portfolio stand out from the rest and make sure you get the job you are intending to.

Exhibit Your Technical Skills 

As you can understand, this is probably one of the most important parts of building a great portfolio. You have to include the important technical skills that you have in your portfolio, but that does not mean you have to add all of them. You can add the more important ones and the ones that you feel are more important for the job roles while leaving the simpler, normal and cookie-cutter skills out of it. This shows off your better skills and makes your portfolio more attractive. 

Be Passionate 

Being passionate is important as it can persuade your employers. In the data science sector, it is important for employers to see that you are passionate about what you do. It tells them that you will take the job more seriously. 

Personal Brand 

Your portfolio is only a part of your identity. Your employers can find out a lot about you through your social media, or LinkedIn and GitHub profiles. Make sure that you link all of them in your Resume and portfolio to make your personal brand appealing to them as well. Your profiles should also convey your professionalism and passion for your chosen career path. 

Conclusion 

Now that we have covered all the bases about how to build a good portfolio, let us talk about how you can improve your skills and learn data science. You can add some amazing data science and machine learning certifications to your portfolio to make it more attractive to your employers. The IHUB IIT Data Science certification course which also teaches machine learning, will help you improve your portfolio for your next job. 

The Future of IIT supply chain management is Promising

The Future of IIT supply chain management is Promising

Any business must include supply chain management (SCM) in its operations. It consists of all commercial operations from beginning to end, such as the transformation of raw resources into finished goods before they are shipped and delivered to customers. Given that supply chain management is one of the fields with the greatest rate of advancement, one can enroll in supply chain management training online courses such as the IIT supply chain management course to gain the necessary skill sets.

What is Supply Chain Management?

Supply change management is a complex framework or system that businesses of all sizes and in all industries use to handle and manage the many processes involved between product development and consumer delivery.

Some essential elements of supply chain management include resource acquisition, manufacturing, inventory management, demand management, supply management, product portfolio management, and sales and operational planning.

Why Choose a Supply Chain Management Career in India?

The new fad in the industrial scene in India is supply chain management. For those thinking of pursuing a Supply Chain Management career, they can begin with the help of supply chain management training online such as an IIT supply chain management course.  

best supply chain management and analytics courses

Additionally, the variety of career roles available in the industry of supply chain portrays it as an extremely alluring field for young prospects. Here are some reasons for choosing a career in supply chain management:

It Makes Growth Possibilities and High Job Satisfaction Promises

Jobs in the logistics and supply chain sectors are becoming more and more available as a result of the sector’s rapid expansion. You may rest confident that the supply chain industry offers lucrative positions and the best possible application of your expertise and abilities. Supply chain managers in India can make up to Rs. 859,249 LPA.

It has Comparatively Few Barriers to Entry

The nicest thing about pursuing a career in supply chain management remains that the logistics and supply chain sector offers talented professionals plenty of room to earn good salaries even without the need for advanced degrees. 

As for the candidates who have an undergraduate degree, technical training, and professional certificates, you can land supply chain profiles. You may be qualified for positions such as procurement analyst, logistics manager, operations research analyst, supply chain manager, purchasing manager, director of operations, senior consultant, etc. with a supply chain management certificate.

You Can Work Both Locally and Abroad

There are many supply chain occupations, both domestically and abroad. As a result, you can select employment profiles locally or regionally within the nation. And if you enjoy occupations that demand travel, many supply chain executive positions occasionally call for domestic and international travel.

You Have a Mixture of Industries to Pick From

As we previously stated, the supply chain is crucial to practically every sector. Regardless of their size, businesses and organizations are now funding supply chain management to streamline operations, broaden their market appeal, increase sales, and improve the general client experience. You can therefore work in any field with the help of a degree in supply chain management, such as manufacturing, retail, eCommerce, healthcare, oil & gas, the automobile, etc.

You Pick Up A Lot Of Communicable Skills

The moment you work in the business of supply chain, you understand and develop a wide range of abilities that you may use in a variety of supply chain professions and even in other fields. Financial planning, forecasting and research, workflow improvement, general company management and governance, national and international business conventions, and lastly, mechanical aptitude are some of these talents. 

Conclusion

The demand for qualified and certified supply chain specialists will rise in tandem as more businesses recognize the real potential of supply chain management. The worldwide supply chain management market has a lot of job prospects and is predicted to increase dramatically in the coming years.

The Simple Formula For Success in Banking and Finance

The Simple Formula For Success in Banking and Finance

If you want to succeed in banking and finance, then you must understand the field. You need to know about the industry leaders, competitors, and trends to build a strategy for success. You must understand your goals at this stage so that when it comes time to apply for jobs or internships, it’ll be easier for recruiters to see how well-suited you are as a candidate.

Know Your Goals

Many people forget that when it comes down to making decisions about their future, sometimes only asking for help will work out better than trying something on your own. It may be scary at first, but eventually, things will become less stressful and more enjoyable when we’re able (and ready) to move forward with confidence! 

management development programs

Everyone encounters failure at some point—whether we like it or not! But instead of worrying about being afraid of failing at something new because someone else has already had experience with such challenges before us – why not learn from others who’ve gone through similar experiences?

Increase Your Knowledge And Skills

  • Read industry journals and magazines.
  • Join industry groups and associations.
  • Attend conferences.
  • Take training courses in your field of expertise, whether it be financial planning or business strategy or risk management, etc., depending on what you want to do with your career in banking and finance.
  • Be proactive about networking with professionals from other industries who can help you improve your knowledge base and provide valuable advice on positioning yourself within the financial services sector.

Understand The Industry Leaders and Competitors in your Market

It includes knowing who they are, what they do well, where their weaknesses lie, and what you can learn from them. The more you know about your competitors’ weaknesses, strengths, and strategies to beat them at their own game will help you grow as an effective leader within the industry.

It’s also crucial that you understand how other companies are doing things differently than yours so that when someone asks, “How did they do it?” You’ll have an answer!

Prepare For Interviews

The interview is essential to the whole process, so it’s important to prepare yourself thoroughly. Before you go in, ensure you have all your questions and that your answers are ready to go at a moment’s notice. Practice answering these questions so they can help you gauge how well they flow together and come off as confident and fluent while still being able to answer them precisely enough so someone from outside can understand what is happening inside their head during each scenario.

Explore a career in banking and finance with Imarticus Learning

 Students will learn the technical and soft skills necessary for a successful career in NBFCs, retail banking, and fintech throughout this 300+ hour b.

Course Benefits For Learners:

  • Our learners are placed in entry-level positions at prominent banks, NBFCs, FinTech businesses, KPOs, and other organizations, with over 8000 students receiving a 60% pay boost.
  • These online banking and finance courses cover retail liability and asset products, NRI banking products, branch operational advancements, and investment products, including mutual funds, insurance, stocks, and fixed-income securities.
  • A professional degree in banking and finance will be awarded to students, greatly enhancing their resumes and assisting in the advancement of their jobs.

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

How To Master Data Analytics In 6 Simple Steps

How To Master Data Analytics In 6 Simple Steps

Data analysis follows a strict, sequential method, much like any scientific profession. Each step calls for a unique set of abilities and knowledge. But it’s crucial to comprehend the process as a whole to gain relevant insights. A solid foundation is essential for developing outcomes that withstand examination. This post will examine the key phrases in the data analysis process. This will cover how to specify your objectives, gather information, and conduct an analysis. 

Step 1: Defining the question

Identifying your purpose is the first stage in any data analysis procedure. This is frequently referred to as the “problem statement” in the context of data analytics.

Creating a hypothesis and planning how to test it is a necessary step in defining your purpose. Start by determining what business issue you’re attempting to resolve. Although it may seem simple, it might be more complicated. A data analyst must thoroughly understand the business and its objectives to frame problems appropriately.

Step 2: Gathering Data

This leads to the following action, data gathering. It’s time to specify the data you’ll need to get the answers to your queries now that you have a clear notion of them. You should check to see if the information is easily accessible within your company, such as through employee survey results or yearly performance assessments.

Step 3: Data Cleaning

The next step after collecting your data is to prepare it for analysis. Ensuring you are dealing with high-quality data requires cleaning the data. Getting rid of significant mistakes, duplication, and outliers—are all issues that always arise when combining data from several sources. Adding structure to your data—general “housekeeping,” such as correcting spelling mistakes or layout flaws, will make it easier for you to map and handle your data.

Step 4: Analyzing the data

You’ve finally cleared up your info. The fun part will now be examining it. Your aim will significantly impact the sort of data analysis you perform. But there are a lot of methods out there. Regression, time-series, and univariate or bivariate analysis are a few more you may be familiar with. But how you use them is more crucial than the wide varieties. What insights you hope to get will determine how to proceed. 

Step 5: Sharing your results

You’ve completed all of your analysis. You possess unique insights. Sharing these insights with the general public is the last phase of the data analytics process. This includes more than just disclosing the unprocessed results of your study; it also entails interpreting the findings and communicating them in a way that is understandable to various audiences. Because you’ll frequently present information to decision-makers, your insights must be completely transparent and unambiguous. 

Explore a career in data analytics with Imarticus Learning

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 This data analytics course with placement will help you learn data science in the real world. Students will develop sophisticated models that yield crucial business forecasts and insight.

Course Benefits for Students:

  • Data analytics, machine learning fundamentals, and the most widely used data science tools and approaches should all be familiar to students.
  • To receive a data analyst certification course, students must finish 25 real-world projects and case studies directed by corporate partners.
  • One of the sought-after abilities in the market today is the ability to visualize data utilizing a data analytics program. Therefore, recent graduates and those just starting their careers might consider enrolling.

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

The Ultimate Guide To Financial Markets: Step-by-Step Approach

The Ultimate Guide To Financial Markets: Step-by-Step Approach

In the financial markets, a lot of things happen. This means that investors and traders must be in tune with what’s happening in the market. If you’re new to investing or trading, this guide will help you understand different types of financial markets and their key players and challenges.

What are financial markets?

In financial markets, buyers and sellers meet to buy or sell financial assets. They’re also where the economy’s resources get allocated, enabling businesses to access loans and investors to invest their money.

Financial markets exist because they’re needed to fulfill our economic needs as a society. This is how we earn money: by working hard, taking risks (such as investing), or doing something else that generates income for us—like selling something we created or providing services.

The different types of financial markets

Financial markets are a set of institutions that provide investors with an opportunity to trade securities or other financial instruments. These markets include:

  • Money Markets

    : These are the most liquid, or easily tradable, securities. They have Treasury bills and notes, commercial paper, bank deposits, and certificates of deposit (CDs).

  • Bond Markets

    : Bonds are long-term debt obligations issued by businesses or governments to raise money for specific purposes such as paying salaries and buying equipment; they pay interest at regular intervals until maturity (when you stop earning interest on them).

What are the key players in financial markets?

Market participants are the key players in financial markets. They include investors, traders, financial institutions, governments, central banks (such as the Federal Reserve), regulators, and insurance companies.

  • Investor invests their money in businesses or securities to make a profit from their investment. They may also purchase shares of stock to participate in a company’s growth through dividends paid out by the company when profits exceed its cost of production.
  • Traders buy or sell assets such as currencies, commodities, or stocks in exchange for immediate delivery rather than holding onto them until maturity.

What are the critical challenges in financial markets?

One of the critical challenges in financial markets is their complexity and dynamic nature. The global economy is constantly changing, with new developments occurring in many different countries simultaneously. 

Financial markets also tend to be interdependent: what happens in one area can impact another part of the world. Understanding how these connections work is essential to making informed decisions about which investments might best suit your portfolio or personal finances.

Financial markets are complex, but with the correct tools and techniques at hand, you can get on your way to understanding them better than ever before.

Explore a Career in investment banking courses with Imarticus Learning

With the Certified Investment Banking Operations Professional curriculum, students may jumpstart their careers in investment banking. 

Course Benefits for Learners:

  • Students will learn the responsibilities of investment banking operations, managing complicated securities and derivative products, and their trade-life cycles.
  • This investment banking course with placement assurance will give student’s the knowledge and abilities required to succeed in banking operations, treasury, and clearing services at all production levels.
  • After completing the CIBOP course and financial markets training, students will get an industry-recognized certificate.

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

Top 10 free tools for improving your digital marketing strategies

Top 10 free tools for improving your digital marketing strategies

Digital marketing is a big part of your company’s success, but it can be hard to start. There are many tools out there, and they all have different features that make them better than anything else. What if one tool doesn’t work for your business? We’ve compiled this list of free tools for improving your digital marketing strategies so that you can easily focus on growing your business instead of spending hours trying out new software!

Buffer

Buffer enables you to schedule your posts and publish them at a specific time. This means that you don’t have to worry about forgetting when or where you need to post something because Buffer will take care of all of that for you! You can use this tool to schedule tweets on Twitter and Facebook as well as LinkedIn and Google+. 

Google Analytics

It is a free tool that provides detailed statistics about your website traffic. It is a powerful tool that can help you understand your site’s performance and where you can improve.

Google Analytics tracks user behavior on specific pages of your website by using cookies placed on their computers when they visit sites with Google Analytics installed. When someone visits a page in Google’s index of websites (called the “Google index”), this cookie records that see along with any other information stored by the browser or operating system used to access that particular page—such as IP address or device type—as well as some information about what happened while browsing through it: time spent viewing different parts of pages; click rates; scrolling speed, etc.

Simply Measured

Simply Measured is a free analytics tool that allows you to track your social media campaigns, website traffic, and email campaigns. You can track paid advertising campaigns and organic search engine optimization (SEO) efforts.

The best part about Simply Measured is that it allows you to track multiple platforms at once—so if you have an app or mobile site with banners on it, Simply Measured will let you know how many people are viewing those ads as well as how many clicks they’re getting per day.

HubSpot CRM

HubSpot CRM is a tool that allows you to manage your contacts, leads, and opportunities. It can help you track your leads, manage your sales pipeline and stay in touch with customers.

You should take advantage of the resources available on the internet, but don’t forget the importance of having solid content designed for your audience. The content has to be engaging enough so that people share it around their networks and connect on social media platforms like Facebook and Instagram. 

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