Time Series Mastery: Forecasting with ETS, ARIMA, Python

Instructors: Diogo Resende +1 more

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What you'll learn

  •   Apply the most widely used techniques, including Exponential Smoothing (ETS) and Autoregressive Integrated Moving Average (ARIMA).
  •   Analyze real-world data to identify patterns and make accurate predictions.
  •   Create advanced forecasting models using Python.

    • Skills you'll gain

  •   Strategic Decision-Making
  •   Business Analytics
  •   Data-Driven Decision-Making
  •   Pandas (Python Package)
  •   Exploratory Data Analysis
  •   Advanced Analytics
  •   Predictive Analytics
  •   Matplotlib
  •   Trend Analysis
  •   Time Series Analysis and Forecasting
  •   Forecasting
  •   Statistical Analysis

    • There is 1 module in this course

    Targeted at business analysts, data scientists, financial analysts, and market researchers, this course provides essential skills and insights to excel in today's data-driven business environment, equipping learners with the tools to drive strategic decision-making and foster organizational growth.

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