Shop Forum More Submit  Join Login
×

In order to excel in the USMLE exam, students must Think Like a Doctor and apply clinical thinking to each exam question. Becker faculty Dr. Steven R. Daugherty understands the underlying logic of the USMLE exam and is devoted to ensuring students’ success on test day. Through his personal USMLE exam prep resource, USMLEThought.com, Dr. Daugherty collaborated with Dr. Phillip Tisdall, M.D. to provide a ten-step process guiding students through the clinical thinking process.

Collect the basics. Age, gender, time frame and other demographic information will help you to picture the patient and the setting in your mind’s eye.

What’s the chief complaint? Is there a standard or clear clinical problem with a known approach?

Engage the clinical “train of thought.” Imagine you and a senior physician are in the room with the patient. Read through the rest of the question stem as if the physician were talking to you about the patient.

Consider the full set of information which is presented. Dr. Daugherty suggests moving away from looking for a simple association or “hook” in the question to considering the full set of information that is presented.

Come to a conclusion about the disease in question. Before reading the question line, come to your own conclusion about the disease in question.

Now read the question line. At this point, the question line should seem like the logical conclusion of your clinical thought process. Given all that has been presented, what does the senior physician want you to know?

Decide on the answer.

Look at the answer choices. Only look at the answer choices after you’ve already decided on the answer.

If you cannot think of a good answer, exclude the ones that you know are incorrect and pick from what is left. Eliminating false answers first will allow you to spend more time focusing on the answers that are most reasonable.

Move on to the next clinical case.

Practicing these steps and mastering the clinical thinking process will eventually help you to anticipate what information the question gives you to solve the problem. As Dr. Daugherty states: “Learning to think like a clinician is the key to understanding what each question expects from you and how to find the ‘train of thought’ that leads you to the solution waiting at the end.”

The current world is tending to more and more digitalization. Calculators are replaced by computers, switches are replaced by IOT devices, every other controlling device would be replaced by smartphones. And what do you think would replace the traditional marketing - "Digital Marketing"

Future is all about reaching the customer online. There won't be bill boards.... there will be Facebook posts that reach everyone. Information won't be sent via flyers rather e-mails would do the work. And search engines would influence the human decisions. Online reviews dominate the mouth of word. Asking Google would be comfortable than asking another person.

So, marketer be ready to upgrade your skills. These are the skills that every marker should be equipped with -

1. Search Engine Optimization(SEO)

2. Content Marketing

3. Social Media Marketing(SMM)

4. PPC (or Google Ads)

5. Email Marketing

6. Affiliate Marketing

SEO is optimizing the website for users and search engines to maximize the visibility and ranking of a webpage that is present on WWW. Content marketing is marketing your digital presence via content on different platforms.

To know more about these Digital Marketing aspects please go through the following link -www.edupristine.com/blog/digit…

As an accounting graduate the name - 'ACCA' might not be the first time you heard of it. So, let's talk more about it. I will try to give you some information regarding ACCA.

As ACCA full form states it's an association which conducts an exam which is widely accepted and acknowledged across the world.

To be an ACCA one has to give 2 sets of exams – one a fundamental level exam and the second one is a professional level exam.


What is ACCA’s Full Form?

ACCA’s full form stands for Association of Chartered Certified Accountants. It is a prestigious accountancy body whose membership is internationally recognized. With an ACCA accreditation under your belt, you can practice in domestic or international venues with equal professional dignity. The certification is an endorsement of your acquired accountancy skills which attests your command over diverse and complex advanced accountancy concepts. More than half a million ACCA certified professionals render their services in about 170 nations.

Advantages of ACCA Certification

The benefits of ACCA certification are innumerable.

  • You can suffix your name with ACCA designation. As a ‘Chartered Certified Accountant’, you can render your services for diverse financial or management domains and earn a handsome income.
  • Your prospects of landing lucrative career opportunities increase manifold times.
  • In a tenured job, your exhaustive skill set would earn you faster increments and promotions compared to MBA or similar degree holders.
  • You can also hatch your own independent consultancy firm. Since your knowledge would not be limited to finance and accountancy only, you can play an active role in designing organizational strategies.

This expedites your progression to a senior management role. The certification course is highly pragmatic in nature and addresses knowledge verticals from international accountancy and audit standards. ACCA certification is equivalent to a full-time university degree. You can balance work and study as you get to appear for exams twice annually.

Why Edupristine to prepare for ACCA Exams?

ACCA is a broad-based certification that opens the doors for diverse rewarding careers in accounting, banking, management, and consulting. You can easily reach influential senior roles in organizations by leveraging your skills with ACCA course.

  • We offer comprehensive and cutting-edge guidance for all 14 papers in ACCA comprising of ‘Knowledge, Skills, and Professional’ levels.
  • We help you become entitled to exemptions granted to individuals by ACCA based on your previous qualifications.
  • You can start preparing for ACCA Knowledge level with us just after completing Intermediate with Commerce.
  • You can access Edupristine classes on the go from multiple devices.
  • Top notch trainers would extend all possible academic assistance to help you succeed. Professional grade IT conferencing system from Citrix is used for streaming ‘Live Online Classes’.
  • Chat and voice support facilitates real-time interaction with faculty during online classes.

To know more about how to become an ACCA, to know about the challenges faced during ACCA preperation please go through our blog - www.edupristine.com/blog/acca-…


Are you a financial expert by profession? Are you a graduate looking to start a career in finance? Have you ever heard of Financial Analyst? Here I will tell you more about financial analyst and how to become a successful financial analyst. 

 

  

Answer these questions: 

1) Analyst analyses financial data? 

2) Generate financial reports? 

3) Prepare the financial plan for the business? 

 If you think "no" is the answer to any of the above questions then you definitely need to know more about what a financial analyst does. Here is a snapshot of Financial analyst job profile -  

 

    1)  sell-side function 

    2) buy-side function. 

    3) Investment dealings 

    4) merger or acquisition. 

    And what not any financial deal of a company requires a financial expert and here it can be a financial analyst. 

 

 

Employment opportunities: 

 

1) NBFCs 

2) broking houses 

3) mutual and pension funds – corporates 

4) investment banking firms 

5) and all other MNC which are hungry to aquire other firms 

6) other big firms  

 

If you are interested and want to become a financial anlyst go through the following link and know how to become a financial anlyst - www.edupristine.com/blog/what-… 

Text Analytics, also known as text mining, is the process of examining large collections of written resources to generate new information, and to transform the unstructured text into structured data for use in further analysis. Text mining identifies facts, relationships and assertions that would otherwise remain buried in the mass of textual big data.  These facts are extracted and turned into structured data, for analysis, visualization (e.g. via html tables, mind maps, charts), integration with structured data in databases or warehouses, and further refinement using machine learning (ML) systems.

Workflow of Text Mining

1. Collect Data- Unstructured information from websites, emails, blogs, social media websites, user comments, etc.

2. Text Parsing- This step involves extraction of words, parts of speech tagging, word filtering (removing preposition, numbers, and punctuations), synonyms, tokenization, and stemming.

3. Text Filtering- Removing irrelevant terms, building stop word dictionary and removing stop words

4. Transformation- Building term frequency document matrix (TDM) or document term matrix (DTM), computing frequency term counts, and calculating SVD’s

5. Text Mining Algorithms- Hierarchal Clustering, Topic Extraction, LDA and Gibbs Algorithm, Text summarization using text blob noun phrase extraction, sentiment analysis by identifying polarity using naïve Bayesian theorem, and Boolean rules

6. Analysis, Insights & Recommendations- Relationship between key categories, fish bowl analysis, risk analysis, identifying gaps and recommending it to business and key stakeholders.

The traditional text mining approach

A traditional text mining approach, by identifying a list of standard entities (people, organizations, places, etc.) can understand that John is a person, but probably can’t understand what happened (who saw his brother?!) nor the relationship (who is Jack’s brother? ). As a result, while it knows that the text talks about a person, it doesn’t extract any other information or insight.

To identify entities which, although not explicitly cited in a text, have a strong, consistent connection with entities already detected in the content, we need an intelligent technology that is able to understand the correct meaning of words and expressions in context, as well as the relationships between different concepts.

In other words, this requires a technology that can mimic the human capacity for disambiguating, reading and understanding text. Unlike traditional approaches, Expert System’s semantic software Cogito can identify the possible relationships that exist between entities and customized entities (not only people, places, organizations, companies but also URLs, email addresses, phone numbers, and values such as dates, currency and denomination, percentages, and virtually any other entity you need can be tagged or extracted).

Starting with a simple definition of text mining, we can now understand the value of a semantic technology, and how, if John is an international terrorist, it can be really strategic when applied for certain uses.

Are you planning to appear for the CFA Program exam December 2018? If you are, you should take a note of all these dates that are extremely important. Add them to your Google calender,reminders,notes and wherever possible. I would suggest frame these dates on your wall. So to begin with, here is our calendar.

CFA – An Introduction

CFA is an abbreviation that stands for Chartered Financial Analyst designation which is an ace credential professional program offered globally by the American based CFA (Chartered Financial Analyst) institute to investment and financial professionals.

The top employers of CFA Charter holders include JP Morgan, UBS, Bank of America, Wells Fargo, and another global finance, investment, and banking firms.

The CFA program course of study is organized into three levels (Level I, Level II, and Level III) and each level requires passing a six-hour CFA exam by paying the CFA fees.

As a candidate or student, one must pay one-time program enrolment fees at the time of registering for the first Level 1 CFA Program exam. You need to pay the exam registration fees before the deadlines. The Program enrolment fee is USD 450.

CFA Program Fees (Mandatory)

There are 3 layers of fees you’ll need to pay for the exam:

One-time enrollment fee for first-timers (i.e. new CFA Level I candidate)

Registration fee for each level or retake

Curriculum fee for each level or retake

a) CFA Enrollment Fee

This is a one-time program enrollment fee of $450 when you apply for Level I exam. You don’t need to pay again for Level 2 and 3.

b) CFA Exam Fees for Registration

This CFA registration fee is the same for all three levels, but it varies depending on when you commit to the exam. You need to apply 9 months before the exam date to get the early bird discount.

As of now, the registration for the June 2018 is closed, but the registration for June 2019 exam will open in August 2018. For December 2018 CFA Exam (Level 1):

(i) the CFA FEES, the standard registration fee amounts to USD 950 (ends 15th August 2018)

(ii) late registration fees are USD 1,380 (ends 12th September, 2018.)

c) Curriculum Fee

The cost of ebooks is included in the exam fee. If you pick the print version, you’ll need to pay US$150 on top.

Chartered financial analyst® designation is a professional credential that is offer by the CFA institute to the financial and investment professionals.  The designation of the Chartered Financial Analyst or CFA® Charter is the most recognized and respected credential in the field of investment banking. It is a globally recognized credential.

There are three levels in CFA® Program that students will have to go through. Based on the historical data, pass rate for the CFA® examination  is about forty percent. There is a wide range of topics related to investment management, stocks, derivatives, financial analysis which give you great understanding of everything you need in order to become a better Financial Analyst/Investment banker.

CFA® Level I Exam :

This is the first examination that students will have to go through. In level one, students will have to focus on the concepts and tools that are applied to investment management and valuation.

The CFA® Level 1 exam is conducted in two sessions, each 3 hours long. It consists of 240 multiple-choice questions in two sessions of 120 questions each. The questions are designed based on the topic weightages given in the CFA® Level 1 Exam Syllabus, with very slight deviation.

Format of the CFA Level 1 Exam

The CFA Level 1 Exam consists of 240 multiple-choice questions and is divided into two sessions, with 120 questions asked in the three-hour morning session and 120 in the three-hour afternoon session. Three unique choices will be offered as answers, and test takers must choose the most appropriate answer to the question. Words such as except, true , false, all of the above or none of the above are not used in these multiple choice questions. Because all answers are weighted equally, candidates are not penalized for guessing.

Examination Fees and Deadlines

The CFA Institute sets examination and curriculum fees and deadlines which may change annually. Usually, three options are available for paying for the curriculum: purchasing the eBook only, purchasing the print format only, or purchasing both. Curriculum and examination pricing details may be found at the CFA Institute website. Deadlines for purchasing the curriculum usually fall nine months, four months and three months prior to the next examination date (December or June).

Where to Take the CFA Level 1 Exam

The CFA Level 1 Exam is usually administered on the first Saturday in December and June. Locations around the world are CFA Level 1 Exam testing centers. A listing of all current testing centers may be found on the CFA Institute’s directory.

The Bottom Line

Overall, the CFA Level I exam is well-balanced, with a wide spectrum of topics. Some topics may require proportionally more time to study than others; however, what's important is to plan your studies and stay with the plan. Best of luck on the exam!

Chartered financial analyst® designation is a professional credential that is offer by the CFA institute to the financial and investment professionals.  The designation of the Chartered Financial Analyst or CFA® Charter is the most recognized and respected credential in the field of investment banking. It is a globally recognized credential.

There are three levels in CFA® Program that students will have to go through. Based on the historical data, pass rate for the CFA® examination  is about forty percent. There is a wide range of topics related to investment management, stocks, derivatives, financial analysis which give you great understanding of everything you need in order to become a better Financial Analyst/Investment banker.

CFA® Level I Exam :

This is the first examination that students will have to go through. In level one, students will have to focus on the concepts and tools that are applied to investment management and valuation.

The CFA® Level 1 exam is conducted in two sessions, each 3 hours long. It consists of 240 multiple-choice questions in two sessions of 120 questions each. The questions are designed based on the topic weightages given in the CFA® Level 1 Exam Syllabus, with very slight deviation.

Format of the CFA Level 1 Exam

The CFA Level 1 Exam consists of 240 multiple-choice questions and is divided into two sessions, with 120 questions asked in the three-hour morning session and 120 in the three-hour afternoon session. Three unique choices will be offered as answers, and test takers must choose the most appropriate answer to the question. Words such as except, true , false, all of the above or none of the above are not used in these multiple choice questions. Because all answers are weighted equally, candidates are not penalized for guessing.

Examination Fees and Deadlines

The CFA Institute sets examination and curriculum fees and deadlines which may change annually. Usually, three options are available for paying for the curriculum: purchasing the eBook only, purchasing the print format only, or purchasing both. Curriculum and examination pricing details may be found at the CFA Institute website. Deadlines for purchasing the curriculum usually fall nine months, four months and three months prior to the next examination date (December or June).

Where to Take the CFA Level 1 Exam

The CFA Level 1 Exam is usually administered on the first Saturday in December and June. Locations around the world are CFA Level 1 Exam testing centers. A listing of all current testing centers may be found on the CFA Institute’s directory.

The Bottom Line

Overall, the CFA Level I exam is well-balanced, with a wide spectrum of topics. Some topics may require proportionally more time to study than others; however, what's important is to plan your studies and stay with the plan. Best of luck on the exam!

In this post, we will talk about measuring distance for categorical observations. Categorical dimensions can always be translated into numeric dimensions, and numeric distance metrics continue to be meaningful. However, Data Analytics purely categorical observations there are some special metrics which can be used.

There are two cases for purely categorical data: where number of dimensions is not constant across observations, and where they are. Example of former is text documents where number of words is number of dimensions in each document. Finding distances among documents is one the most common tasks in text analytics and Natural Language Processing. Example of later is from bio-informatics where gene-sequence is constant length categorical sequence of genotypes.

For purpose of demonstrations in this post, we shall use following three sentences as three observations among which we want to compute distances. Metrics discussed shall apply equally well to cases where number of dimensions are constant.

One of the biggest challenges of this decade is with databases having a variety of data types. Variety is among the key notion in the emerging concept of big data, which is known by the 4 Vs: Volume, Velocity, Variety and Variability [1,2]. Currently, there are a variety of data types available in databases, including: interval-scaled variables (salary, height), binary variables (gender), categorical variables (religion: Jewish, Muslim, Christian, etc.) and mixed type variables (multiple attributes with various types). Despite data type, the distance measure is a main component of distance-based clustering algorithms. Partitioning algorithms, such as k-means, k-medoids and more recently soft clustering approaches for instance fuzzy c-means [3] and rough clustering [4], are mainly dependent on distance measures to recognize clusters in a dataset.

 

In data mining, ample techniques use distance measures to some extent. Clustering is a well-known technique for knowledge discovery in various scientific areas, such as medical image analysis [5–7], clustering gene expression data [8–10], investigating and analyzing air pollution data [11–13], power consumption analysis [14–16], and many more fields of study. Improving clustering performance has always been a target for researchers. Since in distance-based clustering similarity or dissimilarity (distance) measures are the core algorithm components, their efficiency directly influences the performance of clustering algorithms. These algorithms use similarity or distance measures to cluster similar data points into the same clusters, while dissimilar or distant data points are placed into different clusters. Examples of distance-based clustering algorithms include partitioning clustering algorithms, such as k-means as well as k-medoids and hierarchical clustering [17].

 

Although there are various studies available for comparing similarity/distance measures for clustering numerical data, but there are two difference between this study and other existing studies and related works: first, the aim in this study is to investigate the similarity/distance measures against low dimensional and high dimensional datasets and we wanted to analyse their behaviour in this context. Second thing that distinguish our study from others is that our datasets are coming from a variety of applications and domains while other works confined with a specific domain. In essence, the target of this research is to compare and benchmark similarity and distance measures for clustering continuous data to examine their performance while they are applied to low and high-dimensional datasets. For the sake of reproducibility, fifteen publicly available datasets [18,19] were used for this study, so future distance measures could consequently be evaluated and compared with the results of traditional measures discussed in this study. These datasets are classified into low and high-dimensional, and each measure is studied against each category. But before doing the study on similarity or dissimilarity measures, it needs to be clarified that they have significant influence on clustering quality and are worthwhile to be studied. In sections 3 (methodology) it is elaborated that the similarity or distance measures have significant influence on clustering results.

 

The key contributions of this paper are as follows:

 

Twelve similarity measures frequently used for clustering continuous data from various fields are compiled in this study to be evaluated in a single framework. Most of these similarity measures have not been examined in domains other than the originally proposed one.

A technical framework is proposed in this study to analyze, compare and benchmark the influence of different similarity measures on the result of distance-based clustering algorithms.

Similarity measures are evaluated on a wide variety of publicly available datasets. Particularly, we evaluate and compare the performance of similarity measures for continuous data against datasets with low and high dimension.

The rest of paper is organized as follows: in section 2, a background on distance measures is discussed. In section 3, we have explained the methodology of the study. Experimental results with a discussion are represented in section 4, and section 5 summarizes the contributions of this study.

 

Go to:

Background on Distance Measures for Continuous Data

Utilization of similarity measures is not limited to clustering, but in fact plenty of data mining algorithms use similarity measures to some extent. To reveal the influence of various distance measures on data mining, researchers have done experimental studies in various fields and have compared and evaluated the results generated by different distance measures. Although it is not practical to introduce a “Best” similarity measure or a best performing measure in general, a comparison study could shed a light on the performance and behavior of measures. For instance, Boriah et al. conducted a comparison study on similarity measures for categorical data and evaluated similarity measures in the context of outlier detection for categorical data [20]. It was concluded that the performance of an outlier detection algorithm is significantly affected by the similarity measure. In their research, it was not possible to introduce a best performing similarity measure, but they analyzed and reported the situations in which a measure has poor or superior performance. In another research work, Fernando et al. [21] reviewed, compared and benchmarked binary-based similarity measures for categorical data. With some cases studies, Deshpande et al. focused on data from a single knowledge area, for example biological data, and conducted a comparison in favor of profile similarity measures for genetic interaction networks. They concluded that the Dot Product is consistent among the best measures in different conditions and genetic interaction datasets [22]

ACCA doesn’t have a single definite pattern for all of its exams. Broadly the entire ACCA Exam Structure and Pattern are divided into different levels and modules and the ACCA Course pattern varies with them and within them. Let’s try to understand it from the beginning.

ACCA Modules and Levels:

ACCA Exams are primarily divided into two levels, Fundamentals and Professional.

The Fundamentals level has a total of 9 papers/subjects and they are divided into two modules: Knowledge and Skills

The Knowledge module has 3 papers and deals with the main areas of financial and management accounting. You will study the accountancy areas in greater detail in greater detail after you have studied this. There are six subjects in the Skills module which cover the main technical areas that accountants are expected to know.

For paper-based exams the updated syllabus will be examined for the first time in the September exam session and for exams available by on-demand CBE (F1, F2, F3 and F4 ENG and GLO) the updated syllabus will be examined from September 2016.

Also be aware that ACCA is now offering four exam sessions a year at the Fundamentals and Professional level in all of our markets from March 2016.

With regard to the ACCA Qualification Skills module (exams F4, F5, F6 (UK), F7, F8 and F9) there are some amendments to exam formats and syllabus updates from September 2016 to announce. ACCA are also phasing in computer-based exams (CBE) for the Skills module exams (F4 to F9) from September 2016. The implications of these changes will be discussed below.

At the Professional level there are also some syllabus changes to announce, mainly affecting the P4 and P5 Options exams.

In all cases, please refer to the relevant study guides for full details of changes for the papers you are particularly interested in. The summary of syllabus updates and changes for each exam is also included at the back of each study guide.

All the changes to the ACCA Advanced Diploma and Professional level syllabuses are summarised below.

ACCA FUNDAMENTALS LEVEL (SKILLS MODULE)

STRUCTURAL CHANGES TO THE SKILLS MODULE EXAMS

(F5–F9)

From September 2016, CBE versions of the Skills exams (including F6 UK only) are being phased in, in addition to paper delivery. Further details relating to CBE will be released in April 2016. The paper exam structure will also change in September 2016.

 

Section A will continue to be automatically marked but will make use of a wider range of objective test question types in addition to multiple-choice currently available. A new section of OT cases will be introduced. Each case in this section will be a single scenario against which there will be five objective test questions. There will continue to be a long questions referred to as constructed response questions, but here CBE students will be using word processing and spreadsheet tools in which to construct their responses instead of pen and paper. This constructed response section will continue to be expert (human) marked. 

Are you a great FINANCE career aspirant? If yes, then it is of utmost important for you to know the latest trends in your domain, and more importantly how to use automation in your day to day activities as a finance professional. Calculators are replaced by laptops, and ledgers have been replaced by spreadsheets, and likewise, financial Modeling Skills with Excel have become the most sought-after skills in the job market.

What is Financial Modeling?

The task of creating a model that is abstract in representation of the real financial situation is known as financial modelling

Which FINANCE Jobs are integrated with Financial Modeling Skills?

Below are some important jobs, wherein Financial Modeling and Valuation Skills play a key role, know why Financial Modeling is being extensively used by them.

    ·         A solid understanding of accounting

    ·         Strong Excel skills

    ·         Knowing how to link the 3 financial statements

    ·         Understanding how to build a forecast

    ·         A logical framework for problem-solving

    ·         Attention to detail

    ·         Ability to distill large amounts of data into a simple format

    ·         An eye for design and esthetics

    ·         Clear presentation skills

    ·         The ability to easily zoom in on details, and zoom out to high-level strategy

Why Investment Bankers use Financial Models?

Investment bankers use Financial Statement Modeling, Discount Cash Flow Analysis, Accretion/Dilution modeling for mergers or acquisition, they do comparative analysis in order to decide which company to invest in. Investment bankers also analyze the risk level or define whether a company is going in loss.

 

FRM (Financial Risk Manager) Certification gives you a distinctive edge from the other risk management professionals operating in the Finance and Investment field. Most of the top employers recognize and appreciate the certification. FRM Course provides candidates with all the necessary knowledge and understanding of how Risk Management field operates.

For instance, if anyone is already a risk professional, then FRM comes to their aid in many ways:

    ·         It will give the candidate a better understanding to resolve the risks involving money and investment. Moreover, it will broaden their skill set as a risk professional

    ·         For people who are not risk professionals, FRM provides a perfect pathway to change the career and explore the wonders of risk profession.

    ·         It is a loud message that candidates are competent enough to handle any real-life situation. The benefit is best reaped if they are hailing from the finance background.

    ·         Financial risk managers in the USA can earn anywhere between US$ 100,000 and US$ 250,000. They normally receive various fringe benefits – which include pensions after retirement, health and life insurance as well as paid vacations. The average salary of FRM in India is 9 lakhs per annum.

    ·         The skills that FRM Certification incorporates in a professional are invaluable and the it provides them with state of the art knowledge that is required in the field.

    ·         There are a lot of career option after getting FRM certification viz. Risk Management Analytics, Risk qualification Manager, Operational risk analysts, Enterprise Risk Manager, Risk Qualification Manager etc.

Eligible Candidates:

There are no educational or professional pre-requisites required to enroll for the FRM Program.

It is open for all professionals who are involved in risk management, investment industry, and finance industry; all can enhance their knowledge through FRM Program.

The individuals who wish to make a career shift, from non-risk backgrounds can enroll for the FRM Course to surf across wide range of increasing opportunities in the field of risk management.

The students who are still pursuing their post-graduation and complete any graduation like B.Tech, MBA, or any finance graduation also go for FRM certification, as it gives them the expertise to handle and manage risks, investment and money.

By obtaining their FRM certification a risk manager portrays that they have the knowledge and experience necessary to succeed in a position as a financial risk manager. The FRM certification is very difficult to obtain, therefore, it is very important for FRM candidates to be prepared for the intensive study process, exam and work experience process. Bionic Turtle’s study materials go in-depth to help you understand the concepts that are tested on the FRM Exam so you can feel confident in achieving your certification. Visit our Features & Pricing page to choose the study package that fits your needs!

 

Obtaining the Financial Risk Manager designation is one of the first steps of developing a career in risk management. The FRM certification puts risk managers ahead their peers, giving them a vast advantage when applying for risk management positions. Since the FRM is one of the most difficult financial designations to obtain, it makes certified risk managers stand out to hiring managers.

Here is an opportunity for you, if you are an MBA. We want to introduce you to Business Analytics for MBA, and let you know how it would help you gain an edge with your existing MBA qualification.

The concerns raised come as there is a growing divide between supply and demand for managers with big data skills.                

KPMG found that 36% of executives it surveyed admitted that they lack big data specialists; McKinsey forecasts that 1.5 million more managers and analysts with analytical skills will be required by 2018; the UK will create 56,000 big data jobs a year until 2020, according to business analytics group SAS.

Business Analytics: Making sense to both Business and IT

A Business Analyst typically uses tools like R to spot trends, manage a reporting dashboard and ensure that data is presented in a personalized, meaningful manner for consumption by the business and IT departments of an organization. Today, this is an integral skill that is expected from MBA degree holders. According to KPMG, MBA holders need to be technical enough to speak the language of data science, and also need to know how to use data to solve business problems and deliver results.

MBA graduates with a focus on data analytics have the ability to work in a wide range of industries and functions. For example, MBA graduates can work in marketing, given their ability to use data to understand advertising and consumer behaviour. Or they can work for a management consulting firm or financial services firm using their skills to analyze risk and incorporated uncertainty to identify profitable customers and determine strategies.

In contrast, MS Business Analytics graduates will be typically working on more technical roles along with assisting in the business cases, making specific IT recommendations, and finding data-driven solutions. More often than not, the MBA grads are going to be the decision-makers; but, they need to understand the data for making those data-driven decisions.