The Data Analysis for Business eBook & Video Course Bundle
105 Enrolled
3 Courses & 5.5 Hours
$19.99$48.00
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What's Included
$16.00 Value
Hands-On Python for Finance [Video]
Packt Publishing
6 Lessons (5.5h)
Lifetime
- Experience level required: All levels
- Access 6 lectures & 5.5 hours of content 24/7
- Length of time users can access this course: Lifetime
Course Curriculum
6 Lessons (5.5h)
- Your First Program
- Python Programming PrimerThe Course Overview2:58Installing the Anaconda Platform3:34Launching the Python Environment6:47String and Number Objects12:45Python Lists5:22Python Dictionaries (Dicts)4:34Repetition in Python (For Loops)8:37Branching Logic in Python (If Blocks)8:04Introduction to Functions in Python8:21
- The Python Data EnvironmentIntroduction to NumPy Arrays9:24NumPy – A Deeper Dive9:17Pandas – Part I9:52Pandas – Part II10:02Introduction to Scipy.stats11:38Matplotlib – Part I8:07Matplotlib – Part II16:33
- Time Value of MoneyPresent Value of a Stream of Cash Flows7:05Future Value of Single and Multiple Cash Flows12:55Net Present Value of a Project5:39Internal Rate of Return3:32Introduction to Amortization8:44Creating an Amortization Application8:58
- Time Series Evaluation and ForecastingOpening and Reading a .CSV File8:54Getting and Evaluating Data12:40Moving Average Forecasting9:19Forecasting with Single Exponential Smoothing10:47Creating and Testing a Simple Trading System7:50
- Linear Models, Correlation, and ValuationValuing Securities with Pricing Models12:11Finding Correlations Between Securities10:36Linear Regression13:22Calculating Beta and Expected Return8:30Constructing Portfolios Along the Efficient Frontier11:54
- Build a Monte Carlo Simulation AppIntroduction to Monte Carlo8:09Monte Carlo Simulation12:11Using Monte Carlo Technique to Calculate Value at Risk10:40Putting It All Together – Monte Simulation Application5:12
Hands-On Python for Finance [Video]
PP
Packt PublishingPackt Publishing | Tech Knowledge in Motion4.0/5 Instructor Rating:
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★ ★
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, Packt has published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.
Matthew Macarty has taught graduate and undergraduate business school students for over 15 years and currently teaches at Bentley University. He has taught courses in statistics, quantitative methods, information systems and database design.
Description
Did you know Python is one of the best solution to quantitatively analyze your finances by taking an overview of your timeline? This hands-on course helps both developers and quantitative analysts to get started with Python and guides you through the most important aspects of using Python for quantitative finance. With numerous practical examples through the course, you will develop a full-fledged framework for Monte Carlo, which is a class of computational algorithms and simulation-based derivatives and risk analytics.
5.0/5 average rating:
★ ★ ★ ★ ★
- Access 6 lectures & 5.5 hours of content 24/7
- Understand Python & its various data structures
- Work with Python libraries & tools designed specifically for analytical and visualization purposes
- Get an overview of cash flow across the timeline
- Learn concepts like Time Series Evaluation, Forecasting, Linear Regression & more
- Compute Value at Risk (VaR) & simulate portfolio values using Monte Carlo Simulation
Specs
Important Details
- Length of time users can access this course: lifetime
- Access options: desktop & mobile
- Redemption deadline: redeem your code within 30 days of purchase
- Updates included
- Experience level required: all levels
- Have questions on how digital purchases work? Learn more here
Requirements
- Any device with basic specifications
$16.00 Value
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Terms
- Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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