Complete Time Series Data Analysis Bootcamp In R

Complete Time Series Data Analysis Bootcamp In R, available at $64.99, has an average rating of 4.72, with 53 lectures, based on 426 reviews, and has 3125 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone Who Wants Master Time Series Data In R or Anyone Who Wants To Become Proficient In Time Series Data Analysis Working With Real Life Data or Anyone Who Wants To Become An Expert Data Scientist It is particularly useful for Anyone Who Wants Master Time Series Data In R or Anyone Who Wants To Become Proficient In Time Series Data Analysis Working With Real Life Data or Anyone Who Wants To Become An Expert Data Scientist.

Enroll now: Complete Time Series Data Analysis Bootcamp In R

Summary

Title: Complete Time Series Data Analysis Bootcamp In R

Price: $64.99

Average Rating: 4.72

Number of Lectures: 53

Number of Published Lectures: 53

Number of Curriculum Items: 53

Number of Published Curriculum Objects: 53

Original Price: $199.99

Quality Status: approved

Status: Live

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

Who Should Attend

Anyone Who Wants Master Time Series Data In R
Anyone Who Wants To Become Proficient In Time Series Data Analysis Working With Real Life Data
Anyone Who Wants To Become An Expert Data Scientist

Target Audiences

Anyone Who Wants Master Time Series Data In R
Anyone Who Wants To Become Proficient In Time Series Data Analysis Working With Real Life Data
Anyone Who Wants To Become An Expert Data Scientist

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 isMinerva 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!

Course Curriculum

Chapter 1: INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools

Lecture 1: Introduction to the Course

Lecture 2: Data and Scripts For the Course

Lecture 3: Installing R and R Studio

Lecture 4: Read in CSV & Excel Data

Lecture 5: Remove Missing Values

Lecture 6: More Data Cleaning

Lecture 7: Exploratory Data Analysis(EDA): Basic Visualizations with R

Chapter 2: Start With Time Series Data

Lecture 1: Works With Dates in R

Lecture 2: Pre-Processing Data With Times

Lecture 3: Visualize Temporal Data in R

Lecture 4: Components of Time Series Data

Lecture 5: Moving Averages (MA) For Visualizing a Trend/Pattern

Lecture 6: Detecting Significant Trend

Lecture 7: Other Ways Of Identifying Trend in Time Series Data

Lecture 8: Visualize Monthly Temporal Data

Lecture 9: Identify Cyclical Behavior with Fourier Transforms

Lecture 10: STL Decomposition

Lecture 11: Work With Seasonality

Chapter 3: Important Pre-Conditions of Time Series Modelling

Lecture 1: Is My Time Series Stationary?

Lecture 2: Differencing: Make A Non-Stationary Time Series Stationary

Lecture 3: Make the Mean & Variance Constant

Lecture 4: Seasonal Differencing

Lecture 5: Detrending Time Series With Linear Regression

Lecture 6: Detrending Time Series With Mean Subtraction

Chapter 4: Time Series Based Forecasting

Lecture 1: Simple Exponential Smoothing for Short Term Forecasts

Lecture 2: Other Basic Forecasting Techniques

Lecture 3: Moving Averages (MA) For Forecasting

Lecture 4: Simple Moving Average

Lecture 5: Theta Lines For Forecasting

Lecture 6: Forecasting On the Fly

Lecture 7: Linear Regression For Predicting Values As a Function of Time

Lecture 8: Linear Regression For Forecasting With Trend & Seasonality

Lecture 9: Lags

Lecture 10: Weekly Lags

Lecture 11: Lagged Regression

Lecture 12: Automatic ARIMA Model Fitting and Forecasting

Lecture 13: Automatic ARIMA With Real Life Data

Lecture 14: ARIMA With Fourier Terms

Lecture 15: BATS For Forecasting

Chapter 5: Machine Learning Techniques For Time Series Data

Lecture 1: Linear Regression With "timetk"

Lecture 2: Linear Regression On Real Data

Lecture 3: Machine Learning Regression Models for Non-Parametric Data For Forecasting

Lecture 4: XGBoost For Time Series Forecasting

Lecture 5: Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks)

Lecture 6: Neural Network for Forecasting

Lecture 7: RNNs With Temporal Data

Lecture 8: Evaluate the Performance of an RNN Model

Chapter 6: Detecting Sudden Changes/Major Events

Lecture 1: Detect An Anomaly in Time Series Data

Lecture 2: Breaks For Additive Season and Trend (BFAST) For Time Series in R

Lecture 3: Structural Change Detection

Lecture 4: Structural Changes in Forex Regime

Chapter 7: Miscellaneous Lectures

Lecture 1: Github

Lecture 2: Use R Within Colab

Instructors

Minerva Singh
Bestselling Instructor & Data Scientist(Cambridge Uni)

Rating Distribution

1 stars: 15 votes
2 stars: 18 votes
3 stars: 63 votes
4 stars: 107 votes
5 stars: 223 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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