Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Forecasting. Research Methods and Design
11 students

Forecasting. Research Methods and Design

Research Methods and Design for Predicting the Future
Created byFederico von Borstel
Last updated 1/2025
English
English [Auto],

What you'll learn

  • Student will learn and be able to use a variety of forecasting techniques.
  • Students will be able to use Forecasting techniques in different organizations.
  • Students will be able to select the best forecasting methods for their own projects.
  • Studentss will be able to use both quantitative and non-quantitative Forecasting techniques.

Course content

1 section • 16 lectures • 3h 10m total length

  • Introduction4:43

    Forecasting and design for predicting the future: explore time, patterns, cycles, qualitative and quantitative methods, time series, regression, and factor analysis.

  • Forecasting 28:16

    Explore the history and methods of divination and forecasting, from the oracle of Delphi and oracle bones to palm reading, playing-card fortune telling, geomancy, dreams, and weather-based predictions.

  • Forecasting 36:59

    Examine time as the present, past, and future, tracing language tenses and timelines, and examine physics ideas from relativity to loop quantum gravity for calculus-based forecasting.

  • Forecasting 48:37

    Explore time sequence patterns to organize past, present, and future events using chronological, sequential, and consecutive order elements, with tools like PERT charts and critical path.

  • Forecasting 57:03

    Explore patterns and rhythms to forecast by viewing the future as cycles, circadian rhythms, and sequences; recognize controllable and uncontrollable factors shaping outcomes.

  • Forecasting 611:28

    Explore how sun cycles, earth and planet orbits, and solstices shape forecasting. Use daily sunrise and sunset data to reveal patterns for short-, mid-, and long-term forecasts.

  • Forecasting 79:44

    Explore how the moon serves as a forecasting instrument, detailing orbital dynamics, eclipses, and lunar phases, while connecting tides and nominal, ordinal, interval, and ratio scales.

  • Forecasting 814:58

    Explore measurement concepts, scaling theory, and the four levels of data scales: nominal, ordinal, interval, and ratio, and why ratio scales with a true zero enable all mathematical operations.

  • Forecasting 98:23

    Explore the correlation coefficient as the workhorse of quantitative research, measuring the strength and direction of relationships between two variables. Learn to compute and interpret r with practical examples.

  • Forecasting 1014:56

    Explore qualitative and quantitative forecasting methods and how they support planning, including time series, moving average, exponential smoothing, regression, and Delphi insights.

  • Forecasting 1131:15

    Forecasting 11 explains time series components—trend, cycles, seasonal and irregular variation—and uses moving averages, exponential smoothing, and ARIMA to forecast from past data.

  • Forecasting 128:42

    Explore regression analysis to quantify cause and effect between independent and dependent variables, compare simple and multiple regression, and interpret correlation, slope, and y-intercept.

  • Forecasting 1313:33

    Forecast Ontario's population growth driven by immigration, aging, and a moderating growth rate. Plan for education needs, resources, and facilities amid downsizing and repurposing as life expectancy rises.

  • Forecasting 1413:56

    Apply a calculus-based forecasting model using derivatives and integrals for time series with trend and cycles. Leverage the fundamental theorem of calculus to measure areas and slopes for forecasting.

  • Forecasting 1514:46

    Explore factor analysis to reduce variables into unobservable factors and forecast future with time series components, including trend, cycle, seasonal pattern, and random movements.

  • Course Catalog12:49

Requirements

  • Some knowledge of Statistics is very useful.

Description

Forecasting is a technique of predicting the future based on the results of previous data.

It involves a detailed analysis of past and present trends or events to predict future events.

It uses statistical tools and techniques.

Therefore, it is also called Statistical analysis.

In other words, we can say that forecasting acts as a planning tool that helps enterprises to get ready for the uncertainty that can occur in the future.

Quantitative Methods - Forecasting future data as a result of historical data is done using quantitative forecasting method. If historical numerical evidence is available and it is fair to conclude that any of the characteristics in the data will persist into the future, they are suitable to use.

Qualitative Methods - Where historical evidence is unavailable, qualitative forecasting techniques are used to forecast. They are subjective, based on the opinion and judgement of consumers and experts. They are typically used to make moderate or long-term decisions.

A Pattern is a combination of elements that are repeated. Rhythm involves using intervals or spaces between elements to give the user an impression of rhythm or movement.

Forecasting

Table of Contents

•Introduction to Forecasting

•The Opacity of the Future

•Time

•Time Sequence Pattern

•Rhythms and Patterns

•The Cycles of the Sun

•The Moon, a Forecasting Instrument

•Measurement and Scales

•Correlation

•Qualitative and Quantitative Forecasting Methods

•Time Series Forecasting Models

•Regression Analysis

•Forecasting and Planning

•Calculus based Forecasting

Factor Analysis in Predicting the Future

Who this course is for:

  • This course is for anyone that would like to know how to use Forecasting for Planning.

Report abuse