For financial analysis and algorithmic trading with Python, learn the fundamentals of NumPy, Pandas, Matplotlib, Quantopian, and finance.
Python for Financial Analysis and Algorithmic Trading online certification is a short-term course developed by Jose Marcial Portilla, a professional instructor, and trainer for Data Science and programming, and offered by Udemy Inc., a US-based online learning platform. Python for Financial Analysis and Algorithmic Trading online course focuses on helping the candidates to know about using Python in finance and algorithmic trading. The instructor helps the learners understand core libraries utilised in the Py-Finance Ecosystem, including Jupyter, NumPy & Pandas, Matplotlib, Statsmodels, zipline, Quantopian and etc.
Python for Financial Analysis and Algorithmic Trading syllabus covers topics that are useful for financial professionals such as stock return analysis, cumulative daily returns, volatility and security risks, stat models, error-trend-seasonality (ETS), exponentially weighted moving average (EWMA), portfolio allocation optimization, short selling, order books, stock splits & dividends, market hypothesis, capital asset pricing model and far more.
Yes
Udemy
After completing Python for Financial Analysis and Algorithmic Trading certification course, learners will be efficient in using NumPy for numerical operations, pandas for analysing data and visualizing data, statsmodels, and AIRMA for time series analysis. Learners will also be able to calculate the Sharpe ratio, and other financial statistics like daily returns, cumulative returns, volatility, etc. Ultimately the students will learn topics related to Efficient Market Hypothesis
Mr Jose Portilla Head of Data Science Udemy
Other Bachelors, M.S
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