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The Data Analysis for Business eBook & Video Course Bundle

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Product Details

Access
Lifetime
Content
5.5 hours
Lessons
6

Hands-On Python for Finance [Video]

Step-by-Step Tutorials That Blend Financial & Programming Concepts

By Packt Publishing | in Online Courses

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
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.

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

Requirements

  • Any device with basic specifications

Course Outline

  • Your First Program
  • Python Programming Primer
    • The Course Overview - 2:58
    • Installing the Anaconda Platform - 3:34
    • Launching the Python Environment - 6:47
    • String and Number Objects - 12:45
    • Python Lists - 5:22
    • Python Dictionaries (Dicts) - 4:34
    • Repetition in Python (For Loops) - 8:37
    • Branching Logic in Python (If Blocks) - 8:04
    • Introduction to Functions in Python - 8:21
  • The Python Data Environment
    • Introduction to NumPy Arrays - 9:24
    • NumPy – A Deeper Dive - 9:17
    • Pandas – Part I - 9:52
    • Pandas – Part II - 10:02
    • Introduction to Scipy.stats - 11:38
    • Matplotlib – Part I - 8:07
    • Matplotlib – Part II - 16:33
  • Time Value of Money
    • Present Value of a Stream of Cash Flows - 7:05
    • Future Value of Single and Multiple Cash Flows - 12:55
    • Net Present Value of a Project - 5:39
    • Internal Rate of Return - 3:32
    • Introduction to Amortization - 8:44
    • Creating an Amortization Application - 8:58
  • Time Series Evaluation and Forecasting
    • Opening and Reading a .CSV File - 8:54
    • Getting and Evaluating Data - 12:40
    • Moving Average Forecasting - 9:19
    • Forecasting with Single Exponential Smoothing - 10:47
    • Creating and Testing a Simple Trading System - 7:50
  • Linear Models, Correlation, and Valuation
    • Valuing Securities with Pricing Models - 12:11
    • Finding Correlations Between Securities - 10:36
    • Linear Regression - 13:22
    • Calculating Beta and Expected Return - 8:30
    • Constructing Portfolios Along the Efficient Frontier - 11:54
  • Build a Monte Carlo Simulation App
    • Introduction to Monte Carlo - 8:09
    • Monte Carlo Simulation - 12:11
    • Using Monte Carlo Technique to Calculate Value at Risk - 10:40
    • Putting It All Together – Monte Simulation Application - 5:12

View Full Curriculum


Hands-On Financial Modeling with Microsoft Excel 2019 [eBook]

Build Financial Modules & Make Informed Business Decisions

By Packt Publishing | in eBooks

Financial modeling is a core skill required by anyone who wants to build a career in finance. This eBook explores the terminologies of financial modeling with the help of Excel. It provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. The book takes an intuitive approach to model testing and covers best practices and practical use cases. By the end of this book, you will have examined the data from various use cases, and have the skills you need to build financial models to extract the information required to make informed business decisions.

4.0/5 rating: ★ ★ ★ ★

  • Lifetime access to eBook with 292 pages
  • Learn the basic ingredients of a financial model
  • Explore the key concepts of Excel such as formulas & functions
  • Understand your financial projects, build assumptions, & analyze historical data
  • Develop data-driven models & functional growth drivers
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.

Shmuel Oluwa is a financial executive and seasoned instructor with over 25 years' experience in a number of finance-related fields, with a passion for imparting knowledge. He has developed considerable skills in the use of Microsoft Excel and has organized training courses in Business Excel, Financial Modeling with Excel, Forensics and Fraud Detection with Excel, Excel as an Investigative Tool, and Accounting for Non-Accountants, among others. He has given classes in Nigeria, Angola, Kenya, and Tanzania, but his online community of students covers several continents. Shmuel divides his time between London and Lagos with his pharmacist wife. He is fluent in three languages: English, Yoruba, and Hebrew.

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

Requirements

  • Any device with basic specifications

Hands-On Machine Learning with Microsoft Excel 2019 [eBook]

Build a Full Data Analysis Flow Using Different Machine Learning Models

By Packt Publishing | in eBooks

We have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel. This eBook starts by giving a general introduction to machine learning, making every concept clear and understandable. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow.

4.3/5 average rating: ★ ★ ★ ★

  • Lifetime access to eBooks with 254 pages
  • Understand more about machine learning
  • Know every step of a machine learning project
  • Combine Excel functions, add-ins, & connections to databases and to cloud services
  • Learn different machine learning models on various types of data to be analyzed
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.

Julio Cesar Rodriguez Martino is a machine learning (ML) and artificial intelligence (AI) platform architect, focusing on applying the latest techniques and models in these fields to optimize, automate, and improve the work of tax and accounting consultants. The main tool used in this practice is the MS Office platform, in which Azure services complement perfectly by adding intelligence to different tasks. Julio's background is in experimental physics, where he learned and applied advanced statistical and data analysis methods. He also teaches university courses and provides in-company training on machine learning and analytics, and has a lot of experience leading data science teams.

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  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.