Applied Time Series Analysis and Forecasting with R Projects

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2018-07-10
Learners

No Information
Duration

No Information
Instructor

R-Tutorials Training

Add to Favorites

4.5

4,819 Ratings

This course is the perfect opportunity to learn and practice time series analysis and forecasting with R. With the help of 3 distinct projects, you will learn how to work with trending data, model seasonal datasets, and connect R to Yahoo Finance to scrape stock data. You will also learn how to create standard and ggplot2 time series visualizations, compare models with time series cross validation, and impute missing data. With the help of this course, you will be able to check which weekday is the best for buying and selling stocks. With the 30 days money back guarantee, lifetime access, instructor support, and a certificate for your CV, this course is the perfect way to learn and practice time series analysis and forecasting with R.

Show All

Applied Time Series Analysis and Forecasting with R Projects

Go to class

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 provides an opportunity to learn and practice R for time series analysis and forecasting. R is the leading open source software for this purpose, offering functions and features that are not available in other tools, such as exponential smoothing, ARIMA models, time series cross validation, missing data handling, visualizations and forecasts.

The course is structured with three distinct projects. The first project focuses on trending data, and as a secondary topic, students will learn how to create standard and ggplot2 time series visualizations. The dataset for this project will be an employment rate dataset. The second project uses German monthly inflation rates over the last 10 years to demonstrate how to model seasonal datasets, and compares the models with time series cross validation. The third project connects R to yahoo finance and scrapes stock data. The resulting data requires pre-processing and cleaning, including missing data imputation. Students will then check which weekday is the best for buying and selling the Novartis stock.

Some knowledge of R is required to follow along. There is an introduction to time series analysis and forecasting course available, which is more of a step by step guide, while this course is applied and project based. Both courses can be taken on their own, or students can take a look at both and learn the subject from two different angles.

The course script is provided as a text file, and students will also receive the standard Udemy benefits, such as a 30-day money back guarantee, lifetime access, instructor support and a certificate for their CV.

Course Syllabus

Course Introduction

Project I Trending Data: Singapur Labor Force Participation Rate

Project II Seasonal Data: Monthly Inflation Rates of Germany

Project III Irregularly Spaced Data: Analyze A Biotech Stock

Project IV Neural Networks: Neural Nets and Interactive Graphs

Show All

Recommended Courses

Forecast Anything with Excel

4.3

Udemy 2,097 learners

Learn More

This course is perfect for anyone who wants to learn how to forecast anything with Excel. With over 1,600 worldwide students enrolled, this course will teach you step-by-step instructions for creating statistical forecasts applied to any time series. You will learn how to forecast your own data using state-of-the-art statistical methods, but explained in a friendly way. You will also learn how to proficiently use Excel regarding variables, functions and graphs. With this course, you will be able to apply these methods in order to forecast your own key variables/data for better decision-making. You will also get quick easy quizzes with detailed answers, so you can learn faster. Don't miss out on this opportunity to learn how to forecast anything with Excel!

Forecasting Models & Time Series Analysis for Business in R

4.3

Udemy 1,711 learners

Learn More

This course will teach you how to predict the future using Forecasting Models and Time Series Analysis in R. You will learn the intuition behind the models without focusing too much on the math, and gain a thorough understanding of the most impactful forecasting model techniques. You will also apply what you learn immediately with exercises and challenges, and code together line by line with the instructor. Join this course and learn how to predict the future!

Data Science-Forecasting&Time series Using XLMinerR&Tableau

4.2

Udemy 1,345 learners

Learn More

This course on Forecasting using XLminar, Tableau, and R is designed to cover the majority of capabilities from an Analytics & Data Science perspective. Learn about scatter diagrams, autocorrelation functions, confidence intervals, and more, all required for understanding forecasting models. Discover the usage of XLminar, R, and Tableau for building forecasting models, as well as the science behind forecasting and forecasting strategies. Plus, learn about forecasting models such as AR, MA, ES, ARMA, ARIMA, and more, and how to accomplish the same using the best tools. Finally, explore Logistic Regression and Forecasting Techniques such as Linear, Exponential, Quadratic Seasonality models, Linear Regression, Autoregression, Smoothing Methods, Seasonal Indexes, and Moving Average.

Forecasting and Demand Planning Essentials

3.5

Udemy 198 learners

Learn More

This course provides an introduction to one of the most important concepts in supply chain management: forecasting and demand planning. It is designed to help companies that sell products to consumers understand the practical relevance of forecasting techniques and the process of demand planning. Through this course, participants will gain a better understanding of the importance of forecasting and demand planning, and how to use them to their advantage. With this knowledge, they will be able to make more informed decisions and improve their business operations.