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Python for Financial Analysis and Algorithmic Trading

Python for Financial Analysis and Algorithmic Trading

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Course Highlights

  • Compatible on Mobile and TV

  • Earn a Cerificate on successful completion

  • Get Full Lifetime Access

  • Learn from Jose Portilla

Mode of learning: Online self study

Course Overview

Who should do this course ?
  • Someone familiar with Python who wants to learn about Financial Analysis!

What are the course deliverables ?
  • Use NumPy to quickly work with Numerical Data

  • Use Pandas for Analyze and Visualize Data

  • Use Matplotlib to create custom plots

  • Learn how to use statsmodels for Time Series Analysis

  • Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..

  • Use Exponentially Weighted Moving Averages

  • Use ARIMA models on Time Series Data

  • Calculate the Sharpe Ratio

  • Optimize Portfolio Allocations

  • Understand the Capital Asset Pricing Model

  • Learn about the Efficient Market Hypothesis

  • Conduct algorithmic Trading on Quantopian

More about this course
  • Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you! This course will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We'll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more! We'll cover the following topics used by financial professionals:Python FundamentalsNumPy for High Speed Numerical ProcessingPandas for Efficient Data AnalysisMatplotlib for Data VisualizationUsing pandas-datareader and Quandl for data ingestionPandas Time Series Analysis TechniquesStock Returns AnalysisCumulative Daily ReturnsVolatility and Securities RiskEWMA (Exponentially Weighted Moving Average)StatsmodelsETS (Error-Trend-Seasonality)ARIMA (Auto-regressive Integrated Moving Averages)Auto Correlation Plots and Partial Auto Correlation PlotsSharpe RatioPortfolio Allocation Optimization Efficient Frontier and Markowitz OptimizationTypes of FundsOrder BooksShort SellingCapital Asset Pricing ModelStock Splits and DividendsEfficient Market HypothesisAlgorithmic Trading with QuantopianFutures Trading

Curriculum (136 Chapters)

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    Frequently Asked Questions

    How can I take this course?
    This course is delivered by an instructor through online videos and other documents only. You will be redirected to our partner site for making the payment and then accessing this course. You do not have to go to any classroom in any place for taking this course. You need an internet connection and a computer/laptop/mobile/tablet only.
    Is there a specific time within which I should complete my courses?
    Courses do not expire, and therefore, there is no time frame to complete your courses. Once you purchase this course, you can view it as many times as you want. You can do the course as fast or slow as you want. You can also view it from any machine in the world, whenever you want - forever.
    Do I get a certificate on taking this course?
    On completing the course, you will get a course completion certificate from Udemy.
    Do I get a refund in case I do not like this course?
    We have 7 days exchange policy. Please send email to services@naukri.com in case you have any issues related to the courses you have purchased. We don’t provide any refunds. Please inform about course(s) that you want in exchange of the ones purchased earlier and our support team will help you. This policy will not be applicable if the participant has accessed more than 30% of the e-Learning content or has attended more than 1 class. Applicable only through courses purchased through Naukri Learning. For others, please contact the course provider directly.
    I have some other question. Where can I get help?
    Please send email to e-learning@naukri.com or call our toll-free number 1800-103-4702.
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