Forecast with Confidence: Mastering ARIMA and Prophet Techniques

In the world of business analytics, forecasting plays a crucial role in making informed decisions. This course delves into the intricacies of time series prediction, focusing on two highly regarded models: ARIMA and Prophet. You’ll get hands-on experience as you learn to navigate through the essential components of time series data such as trends, seasonality, and noise. After covering the foundational aspects, you’ll be equipped to clean and prepare your data using SQL and Python, setting the stage for effective modeling.

As you progress, you’ll dive deep into the ARIMA model, taking the time to understand its parameters (p, d, q). You’ll learn how to implement auto_arima for optimal results and assess assumptions like autocorrelation, stationarity, and residual normality. The course emphasizes precision, teaching you to compute accuracy metrics like MAPE and RMSE, while also harnessing the power of visualizations to compare model outputs with actual data, ensuring you understand what it means to forecast effectively.

Towards the end of the course, you’ll explore Prophet, a tool designed by Meta that simplifies the modeling process even further. You’ll learn to incorporate external variables, adjust change points, and fine-tune seasonal parameters, resulting in clearer predictions. You’ll also gain insights into comparing ARIMA and Prophet using advanced metrics like AIC and BIC. By the end, you’ll be prepared to present your forecasts professionally, utilizing confidence intervals and clear visualizations. Your learning journey culminates in a final project that challenges you to automate predictions and streamline your workflow in real business scenarios.

What you will learn:

• Understand the fundamentals of time series forecasting
• Gain hands-on experience applying ARIMA and Prophet
• Learn to present forecasts effectively to stakeholders

Course Content:

• Sections: 6
• Lectures: 30
• Duration: 12 hours

Requirements:

• Basic knowledge of statistics and time series analysis
• Familiarity with Python and SQL

Who is it for?

• Data analysts, data scientists, and BI professionals
• Marketing, sales, and finance teams needing reliable projections
• Students or self-learners interested in machine learning for time series
• Professionals wanting to compare classical methods with modern approaches

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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