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Udemy

Complete Time Series Analysis With Python

via Udemy

Overview

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

What you'll learn:
  • 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
  • IMPLEMENT Common Data Processing And Visualisation Techniques For Time Series Data in Python
  • 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

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

This course is yourcomplete guideto time series analysis using Python. 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 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 datainPython, 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 realised almost all the Python data science courses and books out theredo not account for the multidimensional nature of the topic .

So, unlike other 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 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 useeasy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python.

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 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!

Taught by

Minerva Singh

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4.2 rating at Udemy based on 889 ratings

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