Time Series Components you own this product

prerequisites
intermediate Python • basic time series analysis • beginner machine learning • basics of Matplotlib • basics of statsmodel
skills learned
use Alpha Vantage API • explore data using ACF, PACF, and ADF tests • deal with non-stationary data
Abdullah Karasan
1 week · 4-6 hours per week · ADVANCED
Included with a Manning Online subscription
try now

pro $24.99 per month

  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose one free eBook per month to keep
  • exclusive 50% discount on all purchases

lite $19.99 per month

  • access to all Manning books, including MEAPs!

team

5, 10 or 20 seats+ for your team - learn more

Look inside

Imagine you’re a consultant with a number of prestigious financial institutions on your client list. One of them has hired you to increase the accuracy of their model for predicting stock prices. You rise to the challenge, deciding on some classical time series models. But before you can propose a reliable model, you must decompose and examine the time series data in order to understand its pattern. Once you have a firm grasp on the data’s peculiarities, you’ll be ready to run the time series modeling.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Abdullah Karasan
Abdullah Karasan was born in Berlin, Germany. After studying economics and business administration, he obtained his master's degree in applied economics from the University of Michigan, Ann Arbor, and his PhD in financial mathematics from the Middle East Technical University, Ankara. He is a former Treasury employee of Turkey and currently works as a principal data scientist at Magnimind and as a lecturer at the University of Maryland, Baltimore. He has also published several papers in the field of financial data science.

prerequisites

This liveProject is for finance practitioners and anyone interested in gaining hands-on experience with time series analysis in finance.To begin this liveProject you will need to know the basics of time series analysis, have beginner-level deep learning knowledge, and be familiar with the following:


TOOLS:
  • Intermediate Python
  • Basics of Matplotlib
  • Alpha Vantage API
  • Jupyter Notebook
TECHNIQUES:
  • Basics of statsmodel

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

related titles

choose your plan

pro

monthly
annual
$24.99
$249.99
only $20.83 per month
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Time Series Components project for free

team

monthly
annual
$49.99
$399.99
only $33.33 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Time Series Components project for free