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Day: August 27, 2021

Why Is Chartered Financial Analyst a Good Career Option?

Posted on by Imarticus Learning

In recent times, Chartered Finance Analyst (CFA) is a designation which is quite revered and regarded by most as a key certification for professionals in the areas of portfolio management and research.

The chartered financial analyst program is a certification from the CFA Institute. It is a globally regarded certification. It is essentially a self-study methodology, graduate level program for professionals who want to pursue a career in investment. A person coming out of any discipline or academics can pursue the CFA program.

Applications to the program are usually from students and undergraduates to an early professional who intent to get a boost to their career. Although it is important to note that just getting a certification will not guarantee the same.

Passing all the three exams of CFA in itself is a very daunting job when compared to the efforts and commitment of the time required as against other management programs like the MBA. In fact, there are many MBA pass outs and CA’s who join CFA to get into core investment banking jobs. CFA gives a great technical grounding and offers broad-based scopes suitable for investment banking, research analyst, equity research and portfolio management.

The CFA course focuses on ethics, portfolio management, accounting, corporate finance, fixed income and equity investments, so basically if one does not have a very specific choice but needs to build their career in the field of finance then they should opt for the CFA certification as it is broad-based, opening many career opportunities.

Passing a CFA exam shows that the person pursuing the same has the ability to show commitment, tenacity, comes across as a professional with resilience, and rigour. In addition to the learnings from the course, the charter holders are also considered internationally mobile as well due to their association with the global professional network.



Some of the most common jobs taken by the CFA professionals

Portfolio Management:
Since CFA focuses on essentially training you on portfolio management skills, this job becomes a no-brainer for most pass outs. Under this profile, you are responsible for making financial/investment-based decisions for people who have given the control of their money to you or to your company.

Research Analyst:
Here the profile is responsible for analysing the financial transactions and records of the firm for its clients. Here you need to prepare your observations and reports and primarily have an insight of what the client would want to know about the financial health of the organization in such a way that nothing essential is overlooked before making any strategic decisions.

There are many other nomenclatures for this role within the organization, such as investment analyst, rating analyst, financial analyst, equity analyst, to name a few.

Consultant:
Here the person needs to provide suggestions that will benefit the firm with professional advice. The CFA course covers corporate finance which will assist the professional to make alternative decisions and suggestions to the third party or the client satisfying their requirements.

Accountant/Auditor:
Here you are required to keep a track of all financial footprints and documents of the business or company that you are associated with.

Investment Banking Analyst:
Here a person needs to check all possible pit stops, analyse, evaluate, all possibilities before any investment is made. The person usually is responsible for directing and making the firm aware of mergers and acquisitions. The task can be efficiently performed by any CFA pass out as the course has a section on corporate investment, equity investment, economics and more which prepares them to handle such requirements.

These are just a few opportunities out of the many that you can take advantage of if you wish to pursue the CFA certification.

So to conclude, it is quite obvious that in recent times many organizations and individuals alike are getting highly interested in CFA. The fact that a CFA certification will benefit the organization and the individual in revenue growth and career growth, it is perhaps why most organizations are also considering sending employees usually from the start up a level for this certification as the long-term advantages cannot be ignored.

It is then true to say that the CFA designation does distinguish the charter holders from other counterparts in the eye of professionals and investors. As a successful CFA charter holder has already proved the test of time and their ability and intention of commitment to conducting their professional life according to high professional standards.

Importance of R Programming As a Tool in the Machine Learning Spaces

Posted on by Imarticus Learning

With the announcement that, Data Science is one of the sexiest careers of the 21st century and the subsequent success of e-commerce giants with the help of data analytics, the world has seen a rise in the demand for data scientists. These professionals who are also known as Data Analysts are responsible for extracting this data, mining it, analysing it and drawing insights so as to add value to the firms.

A lot of companies across different fields have been hiring these professionals due to their specific skill set and the ability to turn numbers into growth and success. These professionals usually work with one or many data analytics tools like, SAS Programming, R Programming, Hadoop and Python and so on. Of these, R Programming is one tool, which has recently seen a lot of popularity and increased number of users, due to the fact that it is open sourced and easily accessible.

All of these data analytics tools are used by the professionals, depending upon what kind of job they want to accomplish.
Data AnalyticsR Programming is most popular choice, when it comes to thoroughly understanding data, by using various graphs and statistical methods. This tool becomes especially important when it comes to machine learning spaces, mainly due to its several packages and advanced implementations, useful for the top machine learning algorithms, which every data scientist is familiar with. All of these packages help in different kind of functions and are highly sought after, because they can be downloaded free of cost. Being an open sourced platform, R Programming has a huge community of contributors, the world over, who regularly add technical updates, which can easily be added to your projects.
These packages that are a part of R Programming can perform various specific functions like, take care of the missing values, allow you to partition your data, classify and combine, and find out the hidden layers in your data and so on. This vastness and variety in packages, makes for R’s strongest suit. Furthermore it is able to offer rich functionality, for the developers so as to enable them to build their own tools and analysing methods. Being open sourced, has given R a lot of leverage over the other data analytics tools, as the users can very well extend it without the need for any permission. What increases R Programming’s importance in the space of machine learning, is the fact that any new research in the field of data science, has a compatible package of R with it.
CIRP- Certification in R ProgrammingR Programming since its inception in around the late 90’s, has only seen major growth; and now, it is being assimilated into various commercial fields such as Oracle, IBM, MATLABS and others. There is a long list of companies in the data analytics industry, which have already declared their adoption of the platform. Adding to its popularity, it has been declared as the most popular platform for any successful practicing Data Scientist. As its popularity increases, there are a lot of institutes offering certification courses in this data analytics tool. Imarticus Learning is a leading education institute, offering industry-endorsed courses in R Programming, in both classroom and online format.

How Do You Become A Machine Learning expert?

Posted on by Imarticus Learning

Machine learning is a powerful tool used to transform information into knowledge. Over the past few decades, the world has witnessed a surge in the data which is useless unless it is analyzed and used effectively. Machine Learning makes this easier. By training machines to analyze the data sets and their patterns and behaviors, data science helps create an environment super adaptable for the organizations that need help with data every single day.

There are several methods to master Machine Learning and Machine Learning Certification is one of them. Imarticus Learning offers Machine Learning and Deep Learning Prodegree. 

This course helps the learners in the following ways:

Learners Can Gain Job-Relevant Skills

Along with building skills in Machine Learning, Python, deep learning, and IBM Watson through 16 industry and in-class projects, candidates get an intense Capstone project.

Smooth Career Transition

Imarticus has witnessed more than 1400 successful career transitions among its learners. This was possible due to the career support module which comes within the program, enabling a smooth transition into ML and AI fields.

Receive Industry Certification

The machine learning certification awarded by Imarticus is endorsed by IBM, a global leader in providing solutions that are technology-driven.

Take Advantage of Online Physical Classrooms

The classes are Live. They come with facilitated instruction for best learning outcomes. The learners can learn while interacting with the instructors, while gaining a full-scale knowledge online.

The Emergence of Big Data In The Field of Agriculture

Posted on by Imarticus Learning

The recent couple of years have been witness to this huge amount of buzz created all over the IT world by the concept of ‘big data’, with it more often than not being related to in the print and electronic media. One of the most phenomenal discoveries was that all the data that has been rapidly generated was stored in the entirety of the past decade. For instance, it was in the year 2000 when 25% of the world’s information was being stored in the virtual format. Cut to the current year, more than 98% of information is stored in the digital format in our daily lives. Believe it or not, today, the entire world is generated more than 30,000 gigabytes of data that is almost being generated every second of every day. When you sit to carefully think about this, the change seems to be of almost astronomical proportions. This as it would, in the progression of all things IT, has led to the creation of huge data sets and in a way there has also been the whole issue, about how and where and especially in what manner would the data be stored.
More important than that is the question of what. The answer to what of this data, more specifically the answer to what exactly can be done about this data, lies within two words: Data Scientist. These are professionals who are basically given the responsibility of extracting value out of these huge data sets, thus in a way, assisting in making valuable decisions, for the growth and development of the companies. Today there is no field left that, has not been penetrated by the. The various fields that have been developed, in terms of their efficiency and their functioning, mostly due to the presence of big data are, health, IT, finance, oil and gas and many more.

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The newest addition to this ever increasing list, is the field of agriculture. The National Research Council, is of the opinion that something known as, precision agriculture can come into existence due to the introduction of big data. It basically refers to a management strategy, which will be making use of information technologies to collect data, from multiple sources in order to facilitate various quality decisions, when it comes to anything and everything related to crop production. While so far the system of precision agriculture and big data are a little different from each other, in terms of the technical aspects, there are chances of inculcating these two concepts in the near future.
Precision agriculture is still involved, with graphical representations of the field maps, wherein the main purpose is to just identify the areas which would be less nutrient deficient in order to sow seeds. As this concept already has a lot of generation of data in place, it surely will help with the process of data analytics, thus these two fields being complementary. This promises a lot of development in terms of job opportunities for all those great Data Scientists out there.
If you are planning to earn career in data science, then Imarticus Learning offer various business and data analytics courses in both online and classroom mode.