Complete Time Series Data Analysis Bootcamp In R

Learn How To Work With Time Series/Temporal Data Using Statistical Modelling & Machine Learning Techniques In R

4.20 (408 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
3,073
students
5.5 hours
content
Aug 2021
last update
$64.99
regular price

What you will learn

Implement Common Data Cleaning And Visualization Techniques In R

Be Able To Read In, Pre-process & Visualize Time Series Data

The Basic Conditions Time Series Data Must Fulfill & How To Check For These

Model Time Series Data To Forecast Future Values

Use Machine Learning Regression For Forecasting Future Values

Detect Sudden Changes In The Values During A Given Time Period

Description

THIS IS YOUR COMPLETE GUIDE TO TIME SERIES DATA ANALYSIS IN R!

This course is your complete guide to time series analysis using R. So, all the main aspects of analyzing temporal data will be covered n depth..

If you take this course, you can do away with taking other courses or buying books on R based data analysis.  

In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in in analyzing time series data in R, you can give your company a competitive edge and boost your career to the next level.

LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:

Hey, my name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.

I have +5 years of experience in analyzing real life data from different sources  using data science related techniques and i have produced many publications for international peer reviewed journals.

 Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic .

So, unlike other R instructors, I dig deep into the data science features of R and gives you a one-of-a-kind grounding in data science related topics!

You will go all the way from carrying out data reading & cleaning  to to finally implementing powerful statistical and machine learning algorithms for analyzing time series data.

Among other things:

  • You will be introduced to powerful R-based packages for time series analysis.

  • You will be introduced to both the commonly used techniques, visualization methods and machine/deep learning techniques that can be implemented for time series data.

  • & you will learn to apply these frameworks to real life data including temporal stocks and financial data.  

NO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED!

You’ll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.

My course will help you implement the methods using REAL DATA obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real-life.

After taking this course, you’ll easily use the common time series packages in R...

You’ll even understand the underlying concepts to understand what algorithms and methods are best suited for your data.

We will work with real data and you will have access to all the code and data used in the course. 

JOIN MY COURSE NOW!

Content

INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools

Introduction to the Course
Data and Scripts For the Course
Installing R and R Studio
Read in CSV & Excel Data
Remove Missing Values
More Data Cleaning
Exploratory Data Analysis(EDA): Basic Visualizations with R

Start With Time Series Data

Works With Dates in R
Pre-Processing Data With Times
Visualize Temporal Data in R
Components of Time Series Data
Moving Averages (MA) For Visualizing a Trend/Pattern
Detecting Significant Trend
Other Ways Of Identifying Trend in Time Series Data
Visualize Monthly Temporal Data
Identify Cyclical Behavior with Fourier Transforms
STL Decomposition
Work With Seasonality

Important Pre-Conditions of Time Series Modelling

Is My Time Series Stationary?
Differencing: Make A Non-Stationary Time Series Stationary
Make the Mean & Variance Constant
Seasonal Differencing
Detrending Time Series With Linear Regression
Detrending Time Series With Mean Subtraction

Time Series Based Forecasting

Simple Exponential Smoothing for Short Term Forecasts
Other Basic Forecasting Techniques
Moving Averages (MA) For Forecasting
Simple Moving Average
Theta Lines For Forecasting
Forecasting On the Fly
Linear Regression For Predicting Values As a Function of Time
Linear Regression For Forecasting With Trend & Seasonality
Lags
Weekly Lags
Lagged Regression
Automatic ARIMA Model Fitting and Forecasting
Automatic ARIMA With Real Life Data
ARIMA With Fourier Terms
BATS For Forecasting

Machine Learning Techniques For Time Series Data

Linear Regression With "timetk"
Linear Regression On Real Data
Machine Learning Regression Models for Non-Parametric Data For Forecasting
XGBoost For Time Series Forecasting
Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks)
Neural Network for Forecasting
RNNs With Temporal Data
Evaluate the Performance of an RNN Model

Detecting Sudden Changes/Major Events

Detect An Anomaly in Time Series Data
Breaks For Additive Season and Trend (BFAST) For Time Series in R
Structural Change Detection
Structural Changes in Forex Regime

Screenshots

Complete Time Series Data Analysis Bootcamp In R - Screenshot_01Complete Time Series Data Analysis Bootcamp In R - Screenshot_02Complete Time Series Data Analysis Bootcamp In R - Screenshot_03Complete Time Series Data Analysis Bootcamp In R - Screenshot_04

Reviews

AL
June 15, 2023
Excellent, I am really learning new techniques for modelling time series data. I cannot wait to get to lecture about XGB.
Ray
April 12, 2023
yes, it was exactly what iwnanedt: a very hands-on coutse avout time series using the r language. thanks.
Anonymized
February 24, 2023
The course teaches excellent use of various tools for working on Time series and Temporal data. The delivery of the instructor is engaging.
Scott
February 16, 2023
The practical advice on dealing with source data issues (e.g., NA, missing values, date formats, etc.) has been quite helpful.
Abunkudugu
December 12, 2022
This iis an impactful review of many models and has broaden my cope. It has also pointed me to possible packages for various models
Neeraj
July 24, 2022
An excellent course for time series data analysis using various techniques in R. Instructor is very good
Marks
July 6, 2022
An outstanding course for time series data analysis using various tools in R. Instructor has great command on the subject and her lectures are awesome.
Rashmi
March 17, 2022
Excellent course for learning the use of various tools in R for working with time series and temporal data.
Juan
March 17, 2022
Tiene temas interesantes pero no esta bien organizado. Las lecturas no parecen estar relacionadas consecutivamente, en cada leccion de 4 minutos se utiliza una dataset diferente, no estan bien explicados los pquetes que utiliza y en general le falta estructura al analisis.
Shikha
January 27, 2022
Excellent course which will enhance the quality of my work several notches. The instructor is simply brilliant in her lectures.
Ramakrishna
January 27, 2022
The course has vast potential for practical applications. The instructor has deep knowledge of the subject and her delivery is superb.
Joseph
January 24, 2022
Unfortunately, this course was badly structured and poorly presented. It is highly questionable that the instructor understood the time series concepts as she casually threw out many codes. The highlight phrase of the course is "there" as if the codes are run magically and things happen without any intuition and motivating explanations. I have found that some contents were totally copied from other sources. Some R packages used in the course were demarcated. Overall, this course was designed in a rush without much value for time-series analysis.
Rony
December 23, 2021
An excellent course for time series data analysis using various tools in R. The instructor is well-versed with the subject and her lectures are interesting.
Amit
December 12, 2021
An excellent course for time series data analysis using various techniques in R. The instructor has brilliantly explained various facets of the concepts in her lectures.
Sangeeta
November 28, 2021
This is an excellent course for the utility and importance of various tools in R for time series data analysis. The course is ideally suited for my work and will significantly add to my knowledge base of the subject. The instructor has been simply brilliant in her lectures. Her knowledge of the subject is outstanding.

Coupons

DateDiscountStatus
3/6/202192% OFF
expired

Charts

Price

Complete Time Series Data Analysis Bootcamp In R - Price chart

Rating

Complete Time Series Data Analysis Bootcamp In R - Ratings chart

Enrollment distribution

Complete Time Series Data Analysis Bootcamp In R - Distribution chart
1712756
udemy ID
5/24/2018
course created date
8/28/2019
course indexed date
Bot
course submited by