Time Series Forecasting with Moving Averages π
Learn how to analyze and forecast time series data using the moving averages method, covering trends, seasonal, cyclical, and random variations.

EZIKAN ACADEMY
71.2K views β’ Jan 11, 2022

About this video
moving average method of time series analysis and forecasting in statistics.Trend, seasonal variation, cyclical variation and random variation were all explained with examples in this video.The video is useful for students in mathematics and statistics department, Quantitative Analysis, ATSWA, Accounting, business administration and management, banking and finance, marketing performance management students (pm), acca, ICAN, icaew, icag, zica, CIMA, CPA, cfa and other professional students.The models of time series analysis and the calculation of moving averages were explained with questions solved.
for part 2, kindly tap the link
https://youtu.be/Q-UZlNVDqco
#trendanalysis
#movingaverage
#timeseriesanalysis
#timeseries
#statistics
#statisticsclass11
#accounting
#pm
#performancemanagement
#account
#regressionanalysis
#ican
#cpa
#cfa
#cima
#icaew
#acca
for part 2, kindly tap the link
https://youtu.be/Q-UZlNVDqco
#trendanalysis
#movingaverage
#timeseriesanalysis
#timeseries
#statistics
#statisticsclass11
#accounting
#pm
#performancemanagement
#account
#regressionanalysis
#ican
#cpa
#cfa
#cima
#icaew
#acca
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Video Information
Views
71.2K
Likes
1.7K
Duration
48:30
Published
Jan 11, 2022
User Reviews
4.7
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