EDUCBA
Apply and Predict: Time Series Forecasting in Excel
EDUCBA

Apply and Predict: Time Series Forecasting in Excel

EDUCBA

Instructor: EDUCBA

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Define forecasting concepts and analyze low, medium, and high emission scenarios.

  • Apply weighted and exponential averages for climate data forecasting.

  • Perform correlation and regression modeling to predict outcomes in Excel.

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Recently updated!

October 2025

Assessments

19 assignments

Taught in English

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There are 5 modules in this course

This module introduces learners to the fundamentals of time series analysis and climate forecasting using Microsoft Excel. It explores low, medium, and high emission scenarios of the 21st century, helping learners build a strong foundation in interpreting climate projections through Excel tools.

What's included

8 videos4 assignments1 plugin

This module focuses on advanced techniques such as weighted averages and exponential averages for forecasting climate data. Learners will gain hands-on experience in handling multi-scenario datasets, applying statistical methods, and interpreting temperature projections with improved accuracy.

What's included

10 videos4 assignments

This module advances into correlation studies and regression models for predictive analytics. Learners will understand how minimum and maximum temperatures are interrelated across scenarios and how to use simple and multiple regression techniques to predict climate outcomes.

What's included

9 videos4 assignments

This module introduces the fundamentals of time series analysis using Microsoft Excel, focusing on employee attrition data. Learners will prepare datasets, apply essential and advanced Excel formulas, and calculate overall and quarterly attrition. The module emphasizes building strong analytical skills and preparing accurate datasets for deeper forecasting tasks.

What's included

7 videos3 assignments

This module advances into trend visualization, seasonality recognition, and forecasting techniques for HR attrition. Learners will use moving averages and trend lines to uncover hidden patterns, analyze recurring seasonal effects, and build Excel-based forecasting models. Additionally, they will evaluate attrition at department and organizational levels to generate actionable HR insights.

What's included

9 videos4 assignments

Instructor

EDUCBA
EDUCBA
376 Courses119,950 learners

Offered by

EDUCBA

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