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
THIS IS YOUR COMPLETE GUIDE TO TIME SERIES DATA ANALYSIS IN R!
This course is yourcomplete guideto time series analysis using R. So,all the main aspectsof 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 datainR, 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 Singhand Iam an Oxford University MPhil (Geography and Environment) graduate. I recently finished aPhD at Cambridge University.
I have +5 yearsofexperience 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 theredo not account for the multidimensional nature of the topic .
So, unlike other R instructors, I dig deep into the data sciencefeatures of R and gives you a one-of-a-kind grounding indata 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 useeasy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.
My course willhelp youimplement the methods using REAL DATAobtained 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!
