Time Series Analysis and Forecasting Using Python in 2023

Moving Average /Exponential Smoothing/Holt Winter /ARIMA / SARIMA
4.05 (11 reviews)
Udemy
platform
English
language
IT Certification
category
instructor
Time Series Analysis and Forecasting Using Python in 2023
65
students
4.5 hours
content
Jan 2023
last update
$29.99
regular price

Why take this course?

🌟 Master Time Series Analysis with Python in 2023 🌟


Course Title:

Time Series Analysis and Forecasting Using Python in 2023

Course Headline:

"Forecasting Online Users, Traffic, Loan Portfolios, Real-Estate Properties & User Spending Habits - All Solved with Time Series Analysis!"


Is this one of your needs? 🤔 Then our course is for you!


Course Description:

The Power of Predictive Analytics in Your Hands: Are you looking to forecast future trends and behaviors in your domain? Whether it's predicting online user activity, understanding traffic patterns, anticipating loan performance, valuing real-estate properties, or decoding user spending habits, the answer lies within time series analysis.

If there's a pattern over time that you need to understand, the solution is clear - time series analysis with Python. 📊✨


Welcome to Your Journey in Time Series Analysis! This best online resource will guide you through the intricacies of using Python for mastering time series data. We'll take you from the fundamentals to advanced forecasting methods, ensuring you're equipped with the skills needed in today's data-driven world.


What You Will Learn:

  1. Data Manipulation Basics: 📈

    • Master the art of working with and manipulating data using NumPy and Pandas libraries.
  2. Time Series Analysis Tools:

    • Explore the powerful built-in tools of the statsmodels library for Error-Trend-Seasonality decomposition and basic Holt-Winters methods.
  3. Modeling & Forecasting:

    • Dive into creating AutoCorrelation and Partial AutoCorrelation charts, and leveraging them within ARIMA based models.
    • Understand Seasonal ARIMA (SARIMA) models and how to include exogenous data points in SARIMAX.
  4. Deep Learning Techniques: 🧠

    • Learn about implementing Recurrent Neural Networks for advanced forecasting.

Career Opportunities Await: This course will empower you to land a job as a:

  • Quantitative Finance Analyst
  • Data Analyst
  • Data Scientist 💼✨

You'll acquire fundamental skills that are directly applicable in practice, making you a highly sought-after expert in time series analysis.


Tools & Models Mastered:

  • AR (Autoregressive model)
  • MA (Moving-Average model)
  • ARMA (Autoregressive-Moving-Average model)
  • ARIMA (Autoregressive Integrated Moving Average model)
  • SARIMA (Seasonal Autoregressive Integrated Moving Average model) 📊

Why Wait? Start Today! ⏰💥 Every day you wait is an opportunity lost. Click the “Buy Now” button and begin your journey into time series mastery with Python today!


Who This Course Is For:

  • Aspiring Data Scientists: 👩‍💻✨
  • Programming Beginners: 🖥️📚
  • People Interested in Quantitative Finance: 🏦💼
  • Programmers Wanting to Specialize in Finance: 🧾🚀
  • Finance Graduates & Professionals: 🎓💵
    • Learn to apply your finance knowledge with Python, enhancing your analytical skills.

Embark on this transformative learning experience and become a maestro in time series analysis using Python. Enroll now and unlock the full potential of your data! 🚀👌

Course Gallery

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Related Topics

2831542
udemy ID
23/02/2020
course created date
20/01/2021
course indexed date
Bot
course submited by
Time Series Analysis and Forecasting Using Python in 2023 - | Comidoc