Acerca de este Curso

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Resultados profesionales del estudiante

20%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

33%

consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
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

Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.

Aprox. 9 horas para completar
Inglés (English)

Qué aprenderás

  • Understand the fundamentals of trading, including the concepts of trend, returns, stop-loss, and volatility.

  • Define quantitative trading and the main types of quantitative trading strategies.

  • Understand the basic steps in exchange arbitrage, statistical arbitrage, and index arbitrage.

  • Understand the application of machine learning to financial use cases.

Habilidades que obtendrás

FinanceTradingInvestmentMachine Learning applied to Finance

Resultados profesionales del estudiante

20%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

33%

consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
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

Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.

Aprox. 9 horas para completar
Inglés (English)

ofrecido por

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Google Cloud

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Instituto de Finanzas de Nueva York

Programa - Qué aprenderás en este curso

Calificación del contenidoThumbs Up88%(2,094 calificaciones)Info
Semana
1

Semana 1

4 horas para completar

Introduction to Trading with Machine Learning on Google Cloud

4 horas para completar
26 videos (Total 131 minutos), 3 lecturas, 5 cuestionarios
26 videos
Course Overview Introduction to Trading with Machine Learning on Google Cloud5m
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
Game: The importance of good data4m
Brief History of ML in Quantitative Finance11m
Why Google?1m
Why Google Cloud Platform?2m
What are AI Platform Notebooks1m
Using Notebooks1m
Benefits of AI Platform Notebooks2m
What do we want to model? Let's start simple5m
Demo: Building a model with BigQuery ML25m
How to use Qwiklabs for your Labs3m
Lab Intro: Building a Regression Model37s
Lab Walkthrough: Building a Regression Model9m
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
3 lecturas
Supervised Learning and Regression10m
Welcome to Introduction to Trading, Machine Learning and GCP10m
Case Study: Capital Markets in the Cloud10m
4 ejercicios de práctica
Python Skills Assessment Quiz
AI and Machine Learning5m
Google Cloud
Trading Concepts Review15m
Semana
2

Semana 2

3 horas para completar

Supervised Learning with BigQuery ML

3 horas para completar
6 videos (Total 29 minutos), 1 lectura, 3 cuestionarios
6 videos
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 lectura
Staying current with BigQuery ML model types10m
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
5 videos (Total 29 minutos), 1 lectura, 2 cuestionarios
5 videos
Short history of ML: Modern Neural Networks8m
Overfitting and Underfitting6m
Validation and Training Data Splits4m
Course Recap + Preview of next course 1m
1 lectura
Example BigQuery ML DNN code10m
2 ejercicios de práctica
Model generalization
Recap Quiz8m

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Acerca de Programa especializado: Machine Learning for Trading

Machine Learning for Trading

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