Data Science for Finance Professional Certificate (NYIF)

Colleagues, the Data Science for Finance Professional Certificate from the New York Institute for Finance will teach you how to extract valuable insights from financial data with the powerful Python programming language. The course starts with a comprehensive introduction to the fundamentals of the Python open data science stack, including NumPy, SciPy, Pandas, Matplotlib, and scikit-learn with specific applications to finance. You will learn how to wrangle data from many different data sources as well as the fundamentals of machine learning. By the end of the course you will have developed highly relevant and sought after analytical skills and the tools to develop your own financial modeling or algorithmic trading strategy using Machine Learning. CPE Credits: 35. Prerequisite knowledge: Python is essential, financial instruments and markets along with basic calculus and linear algebra. Skill-based training modules include: 1) Review of Python Basics, 2) Numerical Programming with NumPy, 3) Plotting with Matplotlib, 4) Scientific Computing with SciPy, 5) Data Analysis with pandas, 6) SQL Database, 7) Machine Learning Algorithms I & II, 8) Tuning Algorithms, 9) Learning and Clustering, and 10) Neural Networks with Tensorflow. Overall, you will gain high-demand skills in the fundamental features of the Python language including data structures and object-oriented programming, how to manipulate and analyze arrays and matrices in Python, use the scientific libraries including NumPy, SciPy, Matplotlib, Pandas, and scikit-learn, work with data in many different formats, develop a portfolio of applications for analyzing and visualizing financial data, and apply machine learning techniques to extract insight from data. 

Enroll today at (teams & execs welcome): https://tinyurl.com/mtku4whu 

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