Complete Time Series Analysis With Python

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About This Course

Python Time Series: How To Use Data Science, Statistics & Machine Learning For Modelling Time Series Data in Python

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

This course is your complete guide to time series analysis using Python. 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 Python based data analysis.

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in in analysing time series data in Python, 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 realised almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic .

So, unlike other 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 Python-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 PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED!

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

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 Python based data science in real-life.

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

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!

  • Master Time Series Data In Python & Become Proficient In Time Series Data Analysis

  • LEARN How To Use Python-based Packages For Time Series Analysis

  • APPLY Python Data Science Techniques To REAL LIFE Data

Course Curriculum

Instructor

Profile photo of Minerva Singh
Minerva Singh

I completed a PhD (University of Cambridge, UK) in 2017 where I focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. I hold an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. I have more than 10 year's experience in conducting academic research (published in high...

Review
4.9 course rating
4K ratings
ui-avatar of SANTHOSH K
Santhosh K.
3.5
9 months ago

kk

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ui-avatar of Simanta Nayak
Simanta N.
4.5
11 months ago

Good Course for beginners.

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ui-avatar of Younus Sujon
Younus S.
5.0
1 year ago

It is a great and hands-on course

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ui-avatar of Mohammad Mohammad
Mohammad M.
5.0
1 year ago

I wholeheartedly advise this to anyone interested in learning time series analysis and end-to-end

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ui-avatar of Juan Rios
Juan R.
5.0
1 year ago

Very well explained course and codes along sections are super helpful

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ui-avatar of Joseph Kwasi Ayeh
Joseph K. A.
5.0
1 year ago

I appreciate the excellent course material and participation.

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ui-avatar of Zahid Hassan
Zahid H.
5.0
1 year ago

Fantastic as usual. Thank you, Minerva, for the terrific stuff.

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ui-avatar of Irsyad Ramli
Irsyad R.
5.0
1 year ago

understand and simple

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ui-avatar of Timothy Coleman
Timothy C.
3.0
1 year ago

The instructor seem's to rattle through jupyter notebooks but will say something like "you can set that perameter to 0.8" but not give any rational as to why? Or the effect of a change to the setting. But overall it was a good brief refresher to my stats from uni on time series

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ui-avatar of Daniel Sabau
Daniel S.
1.0
1 year ago

This course needs a revamp. So far the instructor is just reading text from Microsoft paint, pretty bad as that. Using Windows 7? And typing so slow, my toddler started laughing. I appreciate taking the time to record this, but maybe do a practice run before posting next time?

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