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Complete Time Series Data Analysis Bootcamp In R

Link : 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. HIGHEST RATED
Complete Time Series Data Analysis Bootcamp In R
4.6 (150 ratings)
1,232 students enrolled
What you'll 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


  • Prior Familiarity With The Interface Of R & R Studio
  • Prior Experience Of Applying Basic Statistical Techniques (Such As The Calculation Of Averages) To Data
  • Be Able To Carry Out Data Reading And Pre-Processing Tasks Such As Visualization In R
  • Interest In Working With Time Series Data Or Data With A Time Component To Them


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.


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.

Created by Minerva Singh
Last updated 3/2019
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