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Data Science-Forecasting/Time series Using XLMiner,R&Tableau

Forecasting Techniques-Linear,Exponential,Quadratic Seasonality models, Autoregression, Smooting, Holts, Winters Method
4.2
4.2/5
(89 reviews)
1,338 students
Created by

7.5

Classbaze Grade®

4.9

Freshness

7.8

Popularity

9.1

Material

Forecasting Techniques-Linear
Platform: Udemy
Video: 6h 44m
Language: English
Next start: On Demand

Best Forecasting Model classes:

Classbaze Rating

Classbaze Grade®

7.5 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

4.9 / 10
This course was last updated on 3/2018.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.8 / 10
We analyzed factors such as the rating (4.2/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.1 / 10
Video Score: 8.6 / 10
The course includes 6h 44m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 06 minutes of 23 Forecasting Model courses on Udemy.
Detail Score: 9.2 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
4 resources.
0 exercise.
0 test.

In this page

About the course

Forecasting using XLminar,Tableau,R  is designed to cover majority of the capabilities from Analytics & Data Science perspective, which includes the following
•Learn about scatter diagram, autocorrelation function, confidence interval, which are all required for understanding forecasting models•Learn about the usage of XLminar,R,Tableau for building Forecasting models•Learn about the science behind forecasting,forecasting strategy & accomplish the same using XLminar,R•Learn about Forecasting models including AR, MA, ES, ARMA, ARIMA, etc., and how to accomplish the same using best tools•Learn about Logistic Regression & how to accomplish the same using XLminar•Learn about Forecasting Techniques-Linear,Exponential,Quadratic Seasonality models,Linear Regression,Autoregression,Smootings Method,seasonal Indexes,Moving Average etc,…

What can you learn from this course?

✓ Learn about different types of approaches using XLminer, R and Tableau
✓ Learn about the Forecasting Importance ,Forecasting Strategy which includes Defining goal, Data Collection, Exploratory Data Analysis, Partition Series, Pre-process Data, Forecast Methods, using various Plots.
✓ Learn about scatter diagram, correlation coefficient, confidence interval, which are all required for implementing forecasting techniques
✓ Learn about the various error measures such as ME, MAD, MSE, RMSE, MPE, MAPE, MASE
✓ Learn about Model based Forecasting Techniques such as Linear, Exponential, Quadratic, Additive Seasonality, Multiplicative Seasonality, etc.
✓ Learn about Auto Regressive Models for using errors to further strengthen the forecasting model used & also learn about Random walk & how to identify the same
✓ Learn about Data Driven approaches such as Moving Average, Simple Exponential Smoothing, Double Exponential Smoothing / Holts, Winters / HoltWinters

What you need to start the course?

• Download XLminer, R , RStudio before starting this tutorial
• Download datasets folder in zip file which is uploaded in Session 1

Who is this course is made for?

• All the IT professionals, whose experience ranges from ‘0’ onwards are eligible to take this session. Especially professionals from data analysis, data warehouse, data mining, business intelligence, reporting, data science, etc, will naturally fit in well to take this course.

Are there coupons or discounts for Data Science-Forecasting/Time series Using XLMiner,R&Tableau ? What is the current price?

The course costs $14.99. And currently there is a 70% discount on the original price of the course, which was $49.99. So you save $35 if you enroll the course now.
The average price is $24.1 of 23 Forecasting Model courses. So this course is 38% cheaper than the average Forecasting Model course on Udemy.

Will I be refunded if I'm not satisfied with the Data Science-Forecasting/Time series Using XLMiner,R&Tableau course?

YES, Data Science-Forecasting/Time series Using XLMiner,R&Tableau has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Data Science-Forecasting/Time series Using XLMiner,R&Tableau course, but there is a $35 discount from the original price ($49.99). So the current price is just $14.99.

Who will teach this course? Can I trust ExcelR Solutions?

ExcelR Solutions has created 8 courses that got 1,807 reviews which are generally positive. ExcelR Solutions has taught 15,002 students and received a 3.9 average review out of 1,807 reviews. Depending on the information available, we think that ExcelR Solutions is an instructor that you can trust.
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Browse all courses by on Classbaze.

7.5

Classbaze Grade®

4.9

Freshness

7.8

Popularity

9.1

Material

Platform: Udemy
Video: 6h 44m
Language: English
Next start: On Demand

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