What are the 10 most in demand skills in 2017?

This post originally appeared as an answer to a question on Quora

“This is all useless,” I thought.

I’ve had this scenario occur several times throughout the process of formal schooling.

I felt it in high school while learning the “SAS” rule to compute angles for a triangle.

I felt it in college when I had to listen to my professor — who never had any business experience except for being a business professor — read the bullet points of his power point presentation word for word.

I have a 15 month old daughter and I fear she will feel the same things I’ve felt.

Much of what school teaches us has little to nothing to do with the real world. This isn’t a mystery. Many of us know there are problems with the current education system.

As far as systemic changes are concerned, there are too many layers of red-tape, and fundamentally changing the system will cause a lot of bureaucrats to have lighter pockets. I’m not crossing my fingers expecting change any time soon.

I decided to play a different game with my life. While the majority of people follow the prescribed program of “Go to school, take tests, graduate, and enter the employment funnel with no sense of meaning, desire, or intrigue,” I have and will continue to develop the skills that make a difference in the real world.

Allow me to put this into context first. I believe these skills are the top 10 in demand skills for people who want to choose themselves. If you’re content to wander aimlessly through your career, jumping from company to company, adding bullet points to your LinkedIn profile that read akin to “specialized in optimizing synergistic solutions,” this ain’t the post for you.

But, if you want to do what that matters to you on a personal level and live a life that does the same, these tips might help.

  1. Self awareness - Frustration in life comes from a lack of self-awareness. Lack of self awareness is the reason why people end up in careers they hate. Someone attuned to their preferences, strengths, and desired outcomes doesn’t accidentally stumble into an awful career. First, determine what you’re good at. The process to do so is rather long, which is why I wrote two entire books about it. Second, figure out what’s led you astray. We receive subtle messages from the world telling us who we’re supposed to be, how we’re supposed to behave, and what the rules are. You have to unlearn all of that stuff and then relearn how to live a life on your own terms.
  2. The Ability to Learn - Warren Buffet once said, “The more you learn, the more you earn.” His partner Charlie Munger says, “The most successful people in the world aren’t necessarily the most talented, but they’re learning machines.” Here’s the thing. Most people end their education after they’re done with school. If you take even a little bit of time to increase your knowledge - by reading, watching videos, taking online courses, ect. - you’ll be miles ahead of everyone around you. Most people don’t even practice continued education in their own field or industry - let alone develop an eclectic knowledge of different subjects. If you have a base level of education in various disciplines, you have a tool belt you can use to solve different problems. Turn your brain into a “Swiss Army knife” and you’ll become indispensable because few people will have your array of knowledge.
  3. Bias towards action - The world is moving at a fast pace. Those who develop the skill of acting on the information they receive will reap rewards in the future. Knowledge isn’t power. The application of knowledge is power.
  4. Online Marketing - Career expert Penelope Trunk says having a blog improves your career success. Marketing expert Seth Godin believes everyone should write a personal blog daily. In today’s world, employers, potential business partners, or fans are going to Google you and check your social media profiles to learn more about you. The online presence has replaced the resume. You can use content marketing to display your expertise. People have received job offers, landed business, and gained publishing deals from simply keeping up with their online presence. Everybody has a brand and a media presence today — everyone — some people just have bad ones.
  5. The Ability to Come up With Ideas - Quora’s pound-for-pound champion, James Altucher, has dubbed this era in society “the idea economy.” New ideas are emerging everyday, and now is the perfect time to turn your ideas into reality. Testing ideas is now easier than it ever has been before. With the “gig economy” you can work with freelancers across the globe to come up with a “beta test” for a business idea that doesn’t cost much money. As an employee, if you’re working in a visionary and flexible company, they’ll let you test your new ideas. If the company doesn’t let you test them, you should quit. How do you learn how to come up with good ideas? By coming up with tons of bad ones. One of the most valuable tips I’ve learned from James is to come up with 10 ideas per day — about anything. Write down ten ideas each day on a chosen subject. 9 will be bad. 1 will be mediocre. Every once in a while, one will be great.
  6. Sales Skills - You’re a salesperson whether you like it or not. You’re selling when you’re at a job interview. You sell when you try to get a person of the opposite sex to like you. You sell when you’re trying to convince your kid to eat their peas. The ability to persuade is the umbrella with which all other skills fall under. You can have a great product, but without persuasion it won’t sell. You can have valuable skills to provide to the market place, but without persuasion you won’t land the best opportunities. Read the book Influence - the Psychology of Persuasion, because it will give you superpowers.
  7. Focus - Our attention has become more fragmented every day. We have our phones on our laps, while watching T.V., while having our laptop open. With so many distractions, the ability to do deep and meaningful work is decreasing at a time when this type of work is most needed. Cal Newport covers this in his book Deep Work. Deep work helps you make creative breakthroughs. It’s what gets you into the state of “flow” where you’re in the zone. According to the Deep Work theory, work done in a state of focus for a shorter period of time produces better result than work done in a state of distraction for longer periods of time. Many argue the 8 hour work day is too arbitrary, and that 4–6 hours of deep work per day would produce more output. Evidence continues to pile up about the negative impact multi-tasking has on our brain. If you lengthen your attention span, you can put in a level of work that stands out above the crowd, because your peers simply can’t focus long enough to create astonishing work.
  8. Patience - We want “six minute abs.” We want to “start a six figure business in six months.” Right now, we’re living in one of the most opportunistic periods of human history. You have more access to resources than ever before to help you build a life and career to your exact specifications. That being said, those resources don’t create a “cure all.” There’s no easy button for success in 2017. I’ve seen people fall prey to a lack of patience more times than I can count. They’re the type who start blogs, write two posts, and quit because they have no fans. They make excuses for why others are succeeding, when in reality, the only difference is the length of time put into building their career or business. As far as what it takes to develop patience, I don’t have the perfect remedy. For me, it’s an insatiable desire to accomplish my dreams. I know I’m going to die, perhaps sooner than later, and I keep that in the forefront of my mind while I work. There are days when I feel like doing nothing, but I remind myself that it could be my last day, and often I get back to work.
  9. Hustle/Grit/Determination/Persistence - You have to be hungry. This skill reminds me of a lyric from a Kendrick Lamar song - “Time will never wait on no man, society will never hold your hand.” Whatever you’re looking to accomplish in 2017 or beyond, nobody is going to hand it to you. This is why I’m against participation trophies for kids and helicopter parents/soccer moms. People are becoming too soft, protected, and idealistic. If you want to succeed in the real world, you have to accept that life will punch you in the face, and you have to get off the mat and punch back. Complaining isn’t a strategy. Like I’ve stated previously, there’s so much opportunity in the world for those willing to hustle for it. In the long run, things usually work out for the persistent. It was true in 2017 B.C. and it’s true now. Some skills are timeless, and the ability to persist is one of those skills.
  10. Social Skills - You can be the most intelligent person in the world, but if your social skills aren’t up to par, it won’t matter. You’ve heard the cliche, “It’s not what you know, but who you know.” The thing about cliches is they’re usually true. You can’t succeed alone. You need to build a large network of people so you can help each other. Being social makes people want to work with you, do business with you, and endorse you. You don’t have to be an extrovert, but find ways to connect with other people in a meaningful way. I once heard a great rule that went something along the lines of “treat everyone like they can get you press in the New York Times,” or something like that. The point was that you don’t know what people can do for you down the road. Don’t judge people on first appearances. If you go to a business meeting and you’re rude to the receptionist, that could get back to the person you’re meeting with and kill the deal. Treating other people well should be something you do simply because you’re a good person, but if you need an extra incentive, treating people well can lead to karma coming back your way when you need it most.

There you go! I hope that helped.

If you’re looking for ways to develop skills and reinvent yourself in 2017, you should read my new book, because it covers a wide range of techniques you might find useful.

Structural Equation Modeling Using SPSS AMOS

Structural Equation Modeling using SPSS AMOS

Learn structural equation modeling using SPSS AMOS in private and instructor led online courses at AnEc Center for Econometrics Research.

The course aims to develop a strong foundation of the theory and application of modeling relationships between observed and unobserved variables, path analysis and confirmatory factor analysis using structural equation modeling with SPSS and AMOS.

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Course Objectives

Structural Equation Modeling using SPSS AMOS is advanced level research course aiming to train PhD and MS students in Economics, Business, Finance and Social Sciences to develop modeling skills for analysis of latent variables and observed variables with multi-equation and endogenous covariates. The course also aims to use SPSS and AMOS at advanced level.

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Understanding the theory and practice of SEM
Developing the skills of modeling latent variables
Analysis of data using complex path analysis
Using SPSS and AMOS at advanced level
Writing effective research reports and thesis

Registration Fees

Structural Equation Modeling using SPSS AMOS is an online, private and instructor led course from AnEc Center for Econometrics Research led by Professor Anees Muhammad since 2010.

The course is designed to help the students in Economics, Finance, Business, Management, Psychology, Political Sciences, Social Sciences and Healthcare pursuing PhD and MS research. The course can be enrolled in private or in group. Private courses are recommended for students who need to use SEM during their writing of PhD thesis.

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100% practical based lessons
Detailed lessons on theory
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STRUCTURAL EQUATION MODELING USING SPSS AMOS

Selected Course Contents for SEM using SPSS

These are only selected topics and we will cover the contents in more details so specific list of topics for each lessons and practical demonstration of SEM using SPSS AMOS

Introduction to SEM and Theory of SEM

Overview of linear structural equation modeling and fitting and evaluating structural equation models
Description of path diagrams, AMOS tools for SEM
, Building models using the GUI for AMOS
Details on specific types of structural equation models, Models for observed variables and Linear regression
Path analysis, Mediation and Moderation analysis, Exploratory and Confirmatory factor analysis

Validation of Estimated SEM Model and Tests

Full structural equation models, Latent growth curves
, Multiple group analysis and interpreting linear SEM results
Standardized results vs Unstandardized results, Direct, indirect, and total effects and Goodness-of-fit statistics
Modification indices, Score tests and Wald tests, Tests for multiple group analysis and fitting multilevel models
Generalized structural equation modeling vs simple structural equation modeling

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All certificates from AnEc Center for Econometrics Research are digitally signed can be verified online through the specific link given to the candidates or manually through emailing us back
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Features of our Online Course in Structural Equation Modeling using SPSS AMOS

Personalized contents
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Each lecture is recorded
Research co-authorship

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Download Economic Data using Excel

In this video tutorial, we will explain how to Download Economic Data using Excel in one minute. The data can be downloaded from various sources like World Bank, International Monetary Fund and other data providers through Knoema Addin in Excel. The Knoema addin is one of the best and most easy tool to Download Economic Data using Excel. You can download economic, financial, trade, political and data on other related topics.

Download Economic Data using Excel

Follow these steps to Download Economic Data using Excel from Knoema using Excel.

The following video tutorial is only recorded to help you do the above practical in simple sessions. You can request us for custom download of any Economic and Financial data. We are happy to provide both free and paid support in making data availability from different sources. Watch the video tutorial now.

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List of Best Econometrics Books

Most of the times, we need to select a book to understand econometrics more easily. In the following, I have shared my personally recommended set of best books for econometrics which I have been reading frequently. These books on econometrics have helped me develop a strong understanding of some core issues in developing econometric skills for research and data analytics, both for academic and professional research for freelance projects.

Mostly Harmless Econometrics: An Empiricist's Companion
Mostly Harmless Econometrics: An Empiricist's Companion (Paperback)
by Joshua D. Angrist (shelved 11 times as econometrics)
Basic Econometrics 4th Economy Edition
Basic Econometrics 4th Economy Edition
by Damodar N. Gujarati (shelved 9 times as econometrics)
Introductory Econometrics: A Modern Approach
Introductory Econometrics: A Modern Approach (Hardcover)
by Jeffrey M. Wooldridge (shelved 8 times as econometrics)
Econometric Analysis
Econometric Analysis (Hardcover)
by William H. Greene (shelved 8 times as econometrics)
Econometrics
Econometrics (Hardcover)
by Fumio Hayashi (shelved 7 times as econometrics)
A Guide To Econometrics
A Guide To Econometrics (Paperback)
by Peter E. Kennedy (shelved 5 times as econometrics)
A Guide to Modern Econometrics
A Guide to Modern Econometrics (Paperback)
by Marno Verbeek (shelved 4 times as econometrics)
The Econometrics of Financial Markets
The Econometrics of Financial Markets (Hardcover)
by John Y. Campbell (shelved 4 times as econometrics)
Time Series Analysis
Time Series Analysis (Hardcover)
by James D. Hamilton
Econometric Analysis of Cross Section and Panel Data
Econometric Analysis of Cross Section and Panel Data (Hardcover)
by Jeffrey M. Wooldridge (shelved 4 times as econometrics)
Applied Time Series Econometrics
Applied Time Series Econometrics (Paperback)
by Helmut Luetkepohl (Editor) (shelved 3 times as econometrics)
Bayesian Econometrics
Bayesian Econometrics (Paperback)
by Gary L. Koop (shelved 3 times as econometrics)
Advanced Econometrics
Advanced Econometrics (Hardcover)
by Takeshi Amemiya (shelved 3 times as econometrics)
Schaum's Outline of Statistics and Econometrics
Schaum's Outline of Statistics and Econometrics (Paperback)
by Dominick Salvatore (shelved 3 times as econometrics)
A Course in Econometrics
A Course in Econometrics (Hardcover)
by Arthur S. Goldberger (shelved 3 times as econometrics)
Econometric Theory and Methods
Econometric Theory and Methods (Hardcover)
by James G. MacKinnon (shelved 3 times as econometrics)
Introduction to Econometrics
Introduction to Econometrics (Paperback)
by Christopher Dougherty (shelved 3 times as econometrics)
Microeconometrics Using Stata
Microeconometrics Using Stata (Paperback)
by A. Colin Cameron (shelved 2 times as econometrics)
Computational Methods in Statistics and Econometrics
Computational Methods in Statistics and Econometrics (Hardcover)
by Hisashi Tanizaki (shelved 2 times as econometrics)
Nonparametric Econometrics
Nonparametric Econometrics (Paperback)
by Adrian Pagan (shelved 2 times as econometrics)
Econometric Methods
Econometric Methods (Hardcover)
by Jack Johnston (shelved 2 times as econometrics)
Introduction to Modern Bayesian Econometrics
Introduction to Modern Bayesian Econometrics (Hardcover)
by Tony Lancaster (shelved 2 times as econometrics)
Econometrics
Econometrics (Paperback)
by Badi H. Baltagi (shelved 2 times as econometrics)
Using Eviews for Principles of Econometrics
Using Eviews for Principles of Econometrics (Paperback)
by R. Carter Hill (shelved 2 times as econometrics)
Limited-Dependent and Qualitative Variables in Econometrics
Limited-Dependent and Qualitative Variables in Econometrics (Paperback)
by G.S. Maddala (shelved 2 times as econometrics)
The Practice of Econometrics: Classic and Contemporary
The Practice of Econometrics: Classic and Contemporary (Hardcover)
by Ernst R. Berndt (shelved 2 times as econometrics)
Financial Econometrics: Problems, Models, and Methods
Financial Econometrics: Problems, Models, and Methods (Hardcover)
by Christian Gourieroux (shelved 2 times as econometrics)
Estimation and Inference in Econometrics
Estimation and Inference in Econometrics (Hardcover)
by Russell Davidson (shelved 2 times as econometrics)
Analysis of Panel Data
Analysis of Panel Data (Paperback)
by Cheng Hsiao (shelved 2 times as econometrics)
Microeconometrics: Methods and Applications
Microeconometrics: Methods and Applications (Hardcover)
by A. Colin Cameron (shelved 2 times as econometrics)
Introduction to Econometrics (Addison-Wesley Series in Economics)
Introduction to Econometrics (Addison-Wesley Series in Economics)
by James H. Stock (shelved 2 times as econometrics)
Principles of Econometrics
Principles of Econometrics (Hardcover)
by R. Carter Hill (shelved 2 times as econometrics)
Learning and Practicing Econometrics
Learning and Practicing Econometrics (Hardcover)
by William E. Griffiths (shelved 2 times as econometrics)
Econometric Models And Economic Forecasts
Econometric Models And Economic Forecasts
by Robert S. Pindyck (shelved 2 times as econometrics)
Analysis of Financial Time Series
Analysis of Financial Time Series (Hardcover)
by Ruey S. Tsay (shelved 2 times as econometrics)
Poverty Dynamics: Interdisciplinary Perspectives
Poverty Dynamics: Interdisciplinary Perspectives (Hardcover)
by Tony Addison (Editor) (shelved 1 time as econometrics)
Student Solutions Manual To Introductory Econometrics
Student Solutions Manual To Introductory Econometrics
by Jeffrey M. Wooldridge (shelved 1 time as econometrics)
Econometric Methods
Econometric Methods (Hardcover)
by Manoranjan Dutta (shelved 1 time as econometrics)
Evolutionary Dynamics And Extensive Form Games
Evolutionary Dynamics And Extensive Form Games (Hardcover)
by Ross Cressman (shelved 1 time as econometrics)
Theory of econometrics
Theory of econometrics
by A. Koutsoyiannis (shelved 1 time as econometrics)
Mastering 'Metrics: The Path from Cause to Effect
Mastering 'Metrics: The Path from Cause to Effect (Hardcover)
by Joshua Angrist (shelved 1 time as econometrics)
Data Analysis Using Regression and Multilevel/Hierarchical Models
Data Analysis Using Regression and Multilevel/Hierarchical Models (Paperback)
by Andrew Gelman (shelved 1 time as econometrics)
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Hardcover)
by Julian James Faraway (shelved 1 time as econometrics)
Probability and Statistics
Probability and Statistics (Paperback)
by Morris H. DeGroot (shelved 1 time as econometrics)
Introduction to Bayesian Econometrics
Introduction to Bayesian Econometrics (Hardcover)
by Edward Greenberg (shelved 1 time as econometrics)
Introductory Econometrics with Applications
Introductory Econometrics with Applications (Hardcover)
by Ramu Ramanathan (shelved 1 time as econometrics)
Mastering 'Metrics: The Path from Cause to Effect
Mastering 'Metrics: The Path from Cause to Effect (Kindle Edition)
by Joshua D. Angrist (shelved 1 time as econometrics)
Mathematical Statistics and Data Analysis
Mathematical Statistics and Data Analysis (Hardcover)
by John A. Rice (shelved 1 time as econometrics)
Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS
Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS (Hardcover)
by John Kruschke (shelved 1 time as econometrics)
Bayesian Data Analysis
Bayesian Data Analysis (Hardcover)
by Andrew Gelman (shelved 1 time as econometrics)

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Financial Econometrics Using Matlab: Two Weeks Course

Financial Econometrics using Matlab: A Two Weeks Intensive Instructor Led Course

Matlab is one of the important modeling, simulations and data analysis software widely used by academics and professional researchers in the area of Finance and Econometrics. The two Weeks long course is offered to graduate research students to enable them develop the strong skills of programming and analytics using Matlab

Enroll Now for Financial Econometrics using Matlab

Introduction

Matlab is  matrix manipulation and computational engine that is commonly used for Financial Modeling, Simulations and Data Analysis loved by most of the specialists in the area of Econometrics and Finance. The current module is a two weeks long course  aimed at introduction of Theory and Application of Econometrics for Financial Analysis specifically using Matlab. The course will enable the enrolled students to independently apply their skills of Data Analysis and Modeling in the Areas of Econometrics and Finance. The course is equally important for the beginners and advanced learners in Finance, Economics and Financial Econometrics who wish to develop a strong hands on experience in econometric modeling and simulation. The main objective of the course is to introduce the theory and application of Financial Econometrics and how to use the powerful Matlab as a Mathematical Modeling Software.

Course ObjectivesCourse OutcomesCourse Contents

Course Objectives

The two weeks long course in Financial Econometrics using Matlab specifically aims to introduce the students and researchers of Finance and Economics to handle data from Finance and Investment quickly and produce high impact outcomes using Financial Econometrics and programming and analytics using Matlab.

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Understanding theory and modeling process
Practicing complex analytics approaches
Creating deep insights from raw financial data
Writing complex Matlab programs to analyse data
Writing high impact research reports and thesis

Course Outcomes

We expect that after completing the two weeks intensive, online and instructor led course in Financial Econometrics using Matlab course will enable our students to handle all kinds of financial and economic data to produce high impact research reports and thesis. The key skills we would ensure through our course include data analytics, report writing and Matlab programming.

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Developing independent learning skills
Critically evaluating econometric models
Practically estimating all econometric models
Programming and analytics in Matlab
Report writing and interpretation of all results

Course Contents

Financial Econometrics using Matlab is a two weeks intensive, private and instructor led online course, equally recommended to students, faculty and staff and professional researchers. The course builds on developing strong data analytics, statistical computing and financial modeling skills through the following topics and programming exercises in Matlab.

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Simple OLS, Autocorrelation and Heteroskedasticity
Unit root tests and spurious regression models
Autoregressive and Moving averages models
ARCH, GARCH, eGARCH, DCC, CCC, CDCC, pGARCH
VAR, VECM, Cointegration, ARDL, ARDL, BreakPoints

Certification at AnEc Center for Econometrics Research

After completing the online course in Financial Econometrics using Matlab, successful candidates will be awarded Diploma Certificates from AnEc Center for Econometrics Research
Financial Econometrics using Matlab

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All the certificates from AnEc Center for Econometrics Research are digitally verified and can be manually verified through emails.

LinkedIn Connected Certificates

Our certificates are accredible and credentials and can be directly connected to your LinkedIn profiles from our certificate issuing system.

Published Coursework

We will publish your coursework details on a private page to verify your course learning and practical data analytics skills on AnEc System.

Why to enroll for a course at AnEc Research Center?

Since 2010, AnEc Center for Econometrics Research has been providing technical and skills based course in Data Analysis, Quantitative Research and Report writing. So far, we have helped more than 110 PhD students, 200+ MS students and 500+ academic and business researchers to complete their projects with our top econometrics specialists.

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2000+

Freelance Projects

30+

Class based courses

1000+

Certificates issues

500+

Research projects

Enroll for Financial Econometrics using Matlab
The Fees For The Course Is 450USD. If you need discount, mention your requirements in the message/comment box of the form. Thank you.
Download Matlab from Mathworks.com

Introduction to Matlab for Finance

Matlab has been one of the important Modeling, Simulations and Data Analysis software widely used by Financial Econometricians. The one week short course has been developed to introduce basic training in using Matlab for Finance enabling the registered students to independently apply their skills to Data Analysis and Modeling in the area of Finance. The course is equally important to the beginners and advanced learners in Finance, Economics and Financial Econometrics who want to develop a sense of modeling and analysis. The main objective of the course is to introduce the theory and application of Financial Econometrics and how to use the powerful Mathematical Modeling Software Tool, Matlab for analysis and simulation.

The course is planned in three sections:
·         Registration starts today: Today
·         Registration ends:November 14, 2016
·         Course Begins:November 15, 2016

Contents of the Course:
Selected Topics from the following will be discussed. Student has the choice to select one or many topics.
·         Solution of Stochastic Differential Equations
·         General Approach to the Valuation of Contingent Claims
·         Pricing Options using Monte Carlo Simulations
·         Term Structure of Interest Rates and Interest Rate Derivatives
·         Credit Risk and the Valuation of Corporate Securities
·         Valuation of Portfolios of Financial Guarantees
·         Risk Management and Value at Risk (VaR)
·         Value at Risk (VaR) and Principal Components Analysis (PCA)

All these topics will be discussed in context of Matlab

The course fee structure:
Individuals: 300GBP payable on registration for the course
Groups: 750GBP, payable after the invoice has been sent to the group leader

MatLab M-files, EBooks, Manuals, Example datasets and Lecture Recordings into DVD format will be provided upon enrolment for the course. EBooks and weekly lecture slides will be provided before commencement of each lecture. DVD recordings will be posted on the portal after the course completes and editing has been completed for improving quality

The course materials will be provided to those who register on https://elearning.aneconomist.com. Registration should be confirmed within 24 Hours by paying the course fee.  Only 10 Places are Available for live, online and person-to-personal online lecturing to maintain proper balance in discussion and participation.