Time Series Analysis and Forecasting using Power BI

Time Series Analysis and Forecasting using Power BI, available at $39.99, has an average rating of 3.95, with 14 lectures, 1 quizzes, based on 19 reviews, and has 114 subscribers.

You will learn about Visualise time series data in Power BI Apply and manipulate time series exponential smoothing forecast 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 Compare actual values versus forecast values This course is ideal for individuals who are Business analysts interested in time series analysis or Finance professionals curious about Power BI and trend analysis or Python developers curious about Power BI and trend analysis or Power BI and Excel users interested in trend analysis or Business professionals curious about Power BI, forecasting and time series analysis It is particularly useful for Business analysts interested in time series analysis or Finance professionals curious about Power BI and trend analysis or Python developers curious about Power BI and trend analysis or Power BI and Excel users interested in trend analysis or Business professionals curious about Power BI, forecasting and time series analysis.

Enroll now: Time Series Analysis and Forecasting using Power BI

Summary

Title: Time Series Analysis and Forecasting using Power BI

Price: $39.99

Average Rating: 3.95

Number of Lectures: 14

Number of Quizzes: 1

Number of Published Lectures: 14

Number of Published Quizzes: 1

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: $119.99

Quality Status: approved

Status: Live

What You Will Learn

Visualise time series data in Power BI
Apply and manipulate time series exponential smoothing forecast
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
Compare actual values versus forecast values

Who Should Attend

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
Business professionals curious about Power BI, forecasting and time series analysis

Target Audiences

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
Business professionals curious about Power BI, forecasting and time series analysis

In this course, students will learn about the forecasting models available in Power BI. By understanding how time series exponential smoothing works, students will be able to manipulate the forecast line efficiently for daily, monthly, and yearly predictions of univariate data.

As part of the course, 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.

What you’ll learn

Visualise time series data in Power BI
Apply and manipulate time series exponential smoothing forecast
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
Compare actual values versus forecast values

Are there any course requirements or prerequisites?

A prior, basic understanding and usage of Power BI is recommended
Prior experience using Power Query or writing M scripts is useful but not required
Interest in stock trading is appreciated but not required
Have Power BI desktop and Microsoft Excel installed

Who this course is 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
Business professionals curious about Power BI, forecasting, and time series analysis

Course Curriculum

Chapter 1: Introduction to Time Series Exponential Smoothing

Lecture 1: Introduction to Time Series Data

Lecture 2: What is Time Series Exponential Smoothing?

Lecture 3: Forecasting Models in Power BI

Lecture 4: What is Seasonality?

Lecture 5: Cyclical Datasets

Chapter 2: Time Series Forecasting and Advanced Error Handling

Lecture 1: Generate Univariate Data for Analysis

Lecture 2: Apply Forecast Line to Monthly Trend Analysis

Lecture 3: Assess Model Accuracy

Lecture 4: Advanced Error Handling – Create Date Table in Power Query

Lecture 5: Advanced Error Handling – Merge/Join Tables in Power Query

Lecture 6: Advanced Error Handling – Fill Blanks With Values

Lecture 7: Apply Forecast Line to Daily Trend Analysis

Lecture 8: Questions – Time Series Exponential Smoothing

Lecture 9: Further Reading – Describing the Forecasting Models in Power BI

Instructors

Tobi Williams
Founder at Resagratia, Consultant, Information Architect

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 8 votes
4 stars: 4 votes
5 stars: 4 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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