Course Overview

The course is designed to provide the foundation for developing the trading stages at an advanced level, too, with the help of various machine learning techniques. In the course, key components will be reviewed, such as trading, momentum trading, etc. At the end of the course, the students will be able to understand and design trading methods with the help of models like Keras and Tensor flow.

Furthermore, to be successful in the course, Python programming and relevance with various libraries of machine learning can be helpful. SQL knowledge can be recommended for the students. The students can have knowledge of statistics, which will help in building a foundation in financial knowledge and its markets.

• Algorithm trading
• Python Programming
• Machine learning

Requirements

• Basic knowledge of market and trading
• A computer or laptop with internet connectivity.
• Learn about techniques of machine learning skills in 18 hours.
• Flexible work schedule.

AccessTo Career Resources by Using Machine Learning in Trading and Finance course

Enroll Free

Enhanced Employability:

An outstanding Using Machine Learning in Trading and Finance Program that increases your chances of landing the best jobs.

Competitive Advantage:

An opportunity to stand out from the competition and make a more significant impression on potential employers.

Skill Validation:

Robust validation of machine learning in trading skills confirms that you can complete all related tasks.

Networking Opportunities:

Managing Using Machine Learning in Trading and Finance courses provide ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.