Master time series forecasting using Python with ARIMA, SARIMA, Facebook Prophet & hands-on projects.
InstructorAkhil VydyulaComidoc has tracked 10 coupons for this course since 2026, last checked 58m ago. On average, a new coupon appears roughly every 12 days.
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The curriculum includes specific modules on probability distributions, descriptive statistics, and hypothesis testing to support time series analysis.
Instruction follows a logical progression from ARIMA fundamentals through building, evaluating, and forecasting with various models.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This notebook page illustrates key time series characteristics using three distinct graphs that visualize constant versus changing means, standard deviations, and seasonal patterns.
This notebook view demonstrates how raw tabular sales data is visualized as a line chart, illustrating the concept of univariate time series analysis.
The notebook interface displays a visual introduction to time series analysis featuring a hand-drawn style graph showing an upward trend on grid paper.
The curriculum does not contain explicit coding exercises, quizzes, or formal project-led assignments.
Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.
The curriculum aligns with the stated requirements for Python and statistical knowledge.