The Data Analysis for Business eBook & Video Course Bundle

104 Enrolled
3 Courses & 5.5 Hours
You save 89% -

What's Included

Hands-On Python for Finance [Video]
  • 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 Primer
    The Course Overview2:58
    Installing the Anaconda Platform3:34
    Launching the Python Environment6:47
    String and Number Objects12:45
    Python Lists5:22
    Python Dictionaries (Dicts)4:34
    Repetition in Python (For Loops)8:37
    Branching Logic in Python (If Blocks)8:04
    Introduction to Functions in Python8:21
  • The Python Data Environment
    Introduction to NumPy Arrays9:24
    NumPy – A Deeper Dive9:17
    Pandas – Part I9:52
    Pandas – Part II10:02
    Introduction to Scipy.stats11:38
    Matplotlib – Part I8:07
    Matplotlib – Part II16:33
  • Time Value of Money
    Present Value of a Stream of Cash Flows7:05
    Future Value of Single and Multiple Cash Flows12:55
    Net Present Value of a Project5:39
    Internal Rate of Return3:32
    Introduction to Amortization8:44
    Creating an Amortization Application8:58
  • Time Series Evaluation and Forecasting
    Opening and Reading a .CSV File8:54
    Getting and Evaluating Data12:40
    Moving Average Forecasting9:19
    Forecasting with Single Exponential Smoothing10:47
    Creating and Testing a Simple Trading System7:50
  • Linear Models, Correlation, and Valuation
    Valuing Securities with Pricing Models12:11
    Finding Correlations Between Securities10:36
    Linear Regression13:22
    Calculating Beta and Expected Return8:30
    Constructing Portfolios Along the Efficient Frontier11:54
  • Build a Monte Carlo Simulation App
    Introduction to Monte Carlo8:09
    Monte Carlo Simulation12:11
    Using Monte Carlo Technique to Calculate Value at Risk10:40
    Putting It All Together – Monte Simulation Application5:12

Hands-On Python for Finance [Video]

Packt Publishing

Packt Publishing | Tech Knowledge in Motion

4.0/5 Instructor Rating: ★ ★ ★ ★

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.


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


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


  • Any device with basic specifications


  • 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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