FinTech Classes Lausanne

This 1-week data analytics course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

This machine learning course is meant for learners looking to master the concepts needed for machine learning. Students will learn how machine learning can be used for decision-making, the different machine learning techniques available, and how to tackle machine learning projects. The course covers various techniques in machine learning, including regression, classification, k-means, neural networks, and more.

This course is intended for SQL specialists. Using hands-on exercises, you will learn advanced SQL topics like recursive expressions and correlated subqueries.

This class teaches students the standard version of SQL. You will gain knowledge of database, data types, and relation.

In this class, Students learn to write SQL queries and draw benefit from a database. The chief focus is on elaborating SELECT queries, but students also learn to organize data results, retrieve data from multiple tables, and export query results.

In this class, students are taught to use advanced SQL operators and expressions. Triggers, columns, user-defined functions, SQL grouping functions, and error handling are all covered as well.

This course is designed to help students acquire the basic knowledge of machine learning. You will learn model validation, data sources, and neural networks and deep learning.

This class prepares students to become certified in AWS Certified Machine Learning (Specialty Level). You will learn how to apply machine learning to real-life business problems.

This Python for Finance Immersive course gives students a deep understanding of the use of Python for data extraction, analysis, and visualization. Throughout the 30-hour program, the students will work with NumPy, Pandas, Matplotlib and other scientific libraries as they learn how to pull and process data. Students will graduate with hands-on experience working with Jupyter Notebook, having completed small projects using Python to analyze data. This program is open to beginners, with no requirement for experience in advanced mathematics or coding.

In just 12 hours, this Algorithmic Trading with Python course gives students the skills they need to build their own automated trading strategies. They will first learn how to use Python scripts to connect with an online trading brokerage before learning how to trade. Students will also learn to use algorithms to inform and drive investments while learning more about backtesting and exponential moving average strategies. Students will test their knowledge through the use of mock trades in Python.