Acerca de este Curso

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Nivel intermedio

Aprox. 16 horas para completar

Sugerido: 17 hours/week...

Inglés (English)

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Habilidades que obtendrás

Machine LearningFinanceTradingInvestment

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel intermedio

Aprox. 16 horas para completar

Sugerido: 17 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

1 hora para completar

Introduction to Trading, Machine Learning and GCP

1 hora para completar
13 videos (Total 57 minutos), 1 lectura, 3 cuestionarios
13 videos
Trading vs Investing6m
The Quant Universe2m
Quant Strategies7m
Quant Trading Advantages and Disadvantages4m
Exchange and Statistical Arbitrage8m
Index Arbitrage2m
Statistical Arbitrage Opportunities and Challenges5m
Introduction to Backtesting5m
Backtesting Design6m
What is AI and ML ? What is the difference between AI and ML?58s
Applications of ML in the Real World1m
What is ML?3m
1 lectura
Welcome to Introduction to Trading, Machine Learning and GCP10m
3 ejercicios de práctica
Introduction to Trading5m
Python Skills Assessment Quiz
Intro to AI and ML5m
Semana
2

Semana 2

3 horas para completar

Supervised Learning and Forecasting

3 horas para completar
13 videos (Total 72 minutos)
13 videos
Regression and classification11m
Short history of ML: Linear Regression7m
Short history of ML: Perceptron5m
Lab Intro: Building a Regression Model37s
Introduction to Qwiklabs3m
Lab Walkthrough: Building a Regression Model9m
What is forecasting? - part 15m
What is forecasting? - part 24m
Choosing the right model and BQML - part 13m
Choosing the right model and BQML - part 22m
Lab Intro: Forecasting Stock Prices using Regression in BQML36s
Lab Walkthrough: Forecasting Stock Prices using Regression in BQML12m
1 ejercicio de práctica
Forecasting
Semana
3

Semana 3

2 horas para completar

Time Series and ARIMA Modeling

2 horas para completar
11 videos (Total 52 minutos)
11 videos
AR - Auto Regressive7m
MA - Moving Average2m
The Complete ARIMA Model4m
ARIMA compared to linear regression7m
How can you get a variety of models from just a single series?1m
How to choose ARIMA parameters for your trading model4m
Time Series Terminology: Auto Correlation4m
Sensitivity of Trading Strategy4m
Lab Intro: Forecasting Stock Prices Using ARIMA32s
Lab Walkthrough: Forecasting Stock Prices using ARIMA7m
1 ejercicio de práctica
Time Series
Semana
4

Semana 4

1 hora para completar

Introduction to Neural Networks and Deep Learning

1 hora para completar
9 videos (Total 36 minutos)
9 videos
Short history of ML: Modern Neural Networks8m
Overfitting and Underfitting6m
Validation and Training Data Splits4m
Why Google?1m
Why Google Cloud Platform?2m
What are AI Platform Notebooks1m
Using Notebooks1m
Benefits of AI Platform Notebooks2m
3 ejercicios de práctica
Model generalization
Google Cloud
Module Quiz8m
3.8
85 revisionesChevron Right

Principales revisiones sobre Introduction to Trading, Machine Learning & GCP

por MSJan 30th 2020

Excellent! But, I am missing some of the prerequisites since I just wanted to take a chance and try things out, but feel like proceeding further might lead to some stumbling blocks.

por BAMar 16th 2020

Very good course us introduction to Trading, ML models for trading, ML, Neural networks concept and approaches, Google cloud platform.

Acerca de Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

Acerca de Instituto de Finanzas de Nueva York

The New York Institute of Finance (NYIF), is a global leader in training for financial services and related industries. Started by the New York Stock Exchange in 1922, it now trains 250,000+ professionals in over 120 countries. NYIF courses cover everything from investment banking, asset pricing, insurance and market structure to financial modeling, treasury operations, and accounting. The institute has a faculty of industry leaders and offers a range of program delivery options, including self-study, online courses, and in-person classes. Its US customers include the SEC, the Treasury, Morgan Stanley, Bank of America and most leading worldwide banks....

Acerca de Programa especializado Machine Learning for Trading

This Specialization is for finance professionals, including but not limited to hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning. Alternatively, this specialization can be for machine learning professionals who seek to apply their craft to quantitative trading strategies. The courses will teach you how to create various trading strategies using Python. By the end of the Specialization, you will be able to create quantitative trading strategies that you can train and implement. You will also learn how to use reinforcement learning strategies to create algorithms that can update and train themselves. To be successful in this Specialization, you should have a basic competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL will be helpful. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and a basic knowledge of financial markets (equities, bonds, derivatives, market structure, hedging)....
Machine Learning for Trading

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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