Management Information System especially in ERP and Big Data - Al Jahra - Private lessons

Management Information System especially in ERP and Big Data

From 68.66 C$ /h

I'm ready for any advice you want for choosing your major.
- Don't choose for experience and knowledge, always choose for attitude and who will finish your work even if it is too late or 4 am. IT IS ME
- I'll be your support, even if it is not my domain i'll try also to brainstorm with for free.
- I love my students who are dedicated to learn
- Dedicated to helping each and every student reach their full potential.
- Excited to bring an inspiring and hands-on learning experience to the students.
- Ready to give you all the knowledge and experience you need.
- I'll be ready for you any time you need even after 12 am if there is an urgent issue.
- I know you reading this to attract you well, but I need you to think that if you really need help, am here for you to let you pass any assignment, quiz, exam, or research.
so choose me now.

Location

|

Use Ctrl + wheel to zoom!

At student's location :

Around Saudi Arabia

Around Al Rayyan, Qatar

At teacher's location :

Kuwait

Online from Kuwait

Age

Infants (0-3 years old)

Preschool children (4-6 years old)

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

30 minutes

45 minutes

60 minutes

90 minutes

120 minutes

The class is taught in

English

Arabic

Skills

Information systems

Financial markets

Project management

Availability of a typical week

(GMT -05:00)

New York

At teacher's location and via webcam

At student's home

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

MsC in Engineering with top marks and research assistant of Econometrics for Italian top University.

Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading.

Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science

I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl.

Covering university courses all around Europe: Italy, United Kingdom, France, Germany, Spain, Portugal,...

Technical Skills (application and often implementation from scratch):

1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity

2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution

3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment

4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup

5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest

Welcome to the comprehensive business course designed for students of all levels. This class provides a thorough exploration of essential business concepts, including management, marketing, finance, and entrepreneurship.

Instruction will employ a variety of teaching techniques, such as interactive discussions, real-world case studies, group projects, and hands-on exercises. These methods aim to enhance the understanding and application of theoretical knowledge in practical scenarios.

The objective of this course is to foster a collaborative learning environment where all students can engage with the material and develop critical skills for their academic and professional pursuits. Join us to advance your business knowledge and capabilities

I am a recent software engineering graduate proficient in programming languages such as Python, HTML, CSS, information security, computer modeling, and information systems. I want to teach and share programming knowledge with children and teenagers interested in programming. I hope to find an opportunity to teach, whether online or in person.

MsC in Engineering with top marks and research assistant of Econometrics for Italian top University.

Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading.

Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science

I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl.

Covering university courses all around Europe: Italy, United Kingdom, France, Germany, Spain, Portugal,...

Technical Skills (application and often implementation from scratch):

1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity

2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution

3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment

4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup

5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest

Welcome to the comprehensive business course designed for students of all levels. This class provides a thorough exploration of essential business concepts, including management, marketing, finance, and entrepreneurship.

Instruction will employ a variety of teaching techniques, such as interactive discussions, real-world case studies, group projects, and hands-on exercises. These methods aim to enhance the understanding and application of theoretical knowledge in practical scenarios.

The objective of this course is to foster a collaborative learning environment where all students can engage with the material and develop critical skills for their academic and professional pursuits. Join us to advance your business knowledge and capabilities

I am a recent software engineering graduate proficient in programming languages such as Python, HTML, CSS, information security, computer modeling, and information systems. I want to teach and share programming knowledge with children and teenagers interested in programming. I hope to find an opportunity to teach, whether online or in person.

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