Time Series Analysis and Forecasting using Power BI

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2020-12-16
Learners

No Information
Duration

No Information
Instructor

Tobi Williams

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3.4

87 Ratings

This course is perfect for business analysts, finance professionals, Python developers, and Power BI and Excel users who are interested in time series analysis and forecasting. Students will learn about the forecasting models available in Power BI, and gain hands-on experience in advanced error handling techniques in Power Query. They will be able to manipulate the forecast line efficiently for daily, monthly, and yearly predictions of univariate data, and tune parameters efficiently for cyclical and seasonal datasets. A basic understanding of Power BI is recommended, but prior experience with Power Query or writing M scripts is not required.

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Time Series Analysis and Forecasting using Power BI

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 25th, 2023]

This course is designed to teach students about time series analysis and forecasting using Power BI. Students will learn about the forecasting models available in Power BI and how to use time series exponential smoothing to manipulate the forecast line for daily, monthly, and yearly predictions of univariate data. Additionally, students will gain hands-on experience in advanced error handling techniques in Power Query and be able to tune parameters efficiently for cyclical and seasonal datasets.

By the end of the course, students will be able to visualize time series data in Power BI, apply and manipulate time series exponential smoothing forecasts, transform unstructured data into time series data, understand time series theory, and the concepts of seasonal and cyclical data, handle time series forecasting errors using advanced techniques in Power Query, and compare actual values versus forecast values.

This course is recommended for business analysts interested in time series analysis, finance professionals curious about Power BI and trend analysis, Python developers curious about Power BI and trend analysis, Power BI and Excel users interested in trend analysis, and business professionals curious about Power BI, forecasting, and time series analysis. Prior experience using Power Query or writing M scripts is useful but not required. Interest in stock trading is appreciated but not required. It is necessary to have Power BI desktop and Microsoft Excel installed.

Course Syllabus

Introduction to Time Series Exponential Smoothing

Time Series Forecasting and Advanced Error Handling

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