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MATLAB for Financial Engineering

Covers Quant, Derivatives, Fixed Income and VAR | Self-paced course

Take this course and get:

  • 10 Live Classes
  • 14 Documents
  • 4 Online Tests

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Price: $240 $10

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Self Paced Learning

78 Learners are taking this course

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Course Highlights

  • Useful for financial analysts, accountants etc. to perform analysis
  • Requires no programming knowledge - if you use word,you can use MATLAB
  • Highly flexible and tailored as per needs of individual

About the Course

Language of Instruction: English

Course Description

 

 

If you are working as a financial analyst or are an aspiring financial analyst, knowing MATLAB can help you be productive and enhance your employ-ability. MATLAB is a sophisticated statistical and scientific analysis tool as well as a numerical computing environment which can help you visualize and interpret sets of data effectively. The best aspect of MATLAB is that you don’t need a programming background to program using MATLAB. Its simple to pick up and really versatile in usage.

 

Here’s what you’ll learn in this course:

 

  • Provide introduction about all Quantitative roles in Finance
  • Sensitization on derivative, quant, fixed income, portfolio, VAR modelling
  • Examples with real data to enhance your IQ (US Municipal Bonds)
  • Under the applicability and use on Bloomberg or Reuter Websites (Introduction to tickers, RIC)
  • Real recent examples and real cases which are hot in the market
  • New Interpretation, terminologies, and basic IQ for the subject covered
  • Helpful for technical analysis and Financial Time Series Analysis

 

Why should you enroll in this course?

 

  • Highly flexible and tailored as per needs of individual (10-50 % Financial Engineering & 10-50% MATLAB)
  • Feel the same as you while you are on the trading floor / market
  • Helpful for passing FRM, CFA, BAT exams also prepares for Master level studies in Finance or career change
  • Right mix of data handling, scripting, mathematical skills
  • Contains right blend of learning and practice (Ratio 6:4)
  • Gain confidence in Quant modelling which can be expanded to any platform
  • Gain knowledge about exams like CFA, FRM, BAT, SAS etc
  • Improve your chances of passing exams, getting in quant profiles
  • This course will help you prepare for Quant, Derivative, fixed income, portfolio sections of CFA, FRM, BAT etc

 

The course package:

 

  • 10 pre-recorded classes of 2 hour each, total 20 hours
  • Course can be completed in 1-2 months depending on how you structure your study
  • 3 Assessment tests
  • 1 Formula sheet

 

The course outline:

 

Class No. Topic Class Duration
1 Introduction to Programming on MATLAB. Comparison with R , SAS, Excel, etc. 2 Hours
2 Introduction to Quant Finance: Derivatives, Fixed Income, Portfolio, VAR 2 hours
3 Data types and cell arrays, Data Handling & Visualization in MATLAB, 2-D and 3-D graphs 2 hours
4 Structures, strings, logical operators, control flow, data analysis and visualization 2 hours
5 Polynomials, optimization, integration and differentiation 2 hours
6 Five MATLAB toolboxes for Financial Engineering 2 hours
7 Financial times series, Distributions, VAR 2 hours
8 Portfolio Optimization 2 hours
9 Black Sholes and Monte Carlo 2 hours
10 Revision & Extra sessions 2 hours

 

 

Class Links:

 

Sensitization-Part-1

 

Revisiting important Formulas

 

2D-3D Plotting Class

 

Financial engineering Class 3a

 

About the Instructor

Shivgan Joshi
Indore, India

Shivgan Joshi holds a B.E. from Shri Vaishnav Inst of Technology, Indore & PGDF (Post Grad Diploma in Finance) from Business India Institute of Finance, New Delhi. He has cleared CFA Level 1, FRM L1 and scored 70% in BAT Score (in top 10 percentile globally aprox.) He has been teaching for GRE & GMAT for the last 1 year and has taken over 500 classes. He has published research in top journals like IEEE, LNCS Springer etc. He writes a popular blog : Stock Credit Finance CFA on Blogspot.com. He lives in Gurgaon, India.

Testimonial
very good teacher, nice session

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