Time Series Analysis Real World Projects in Python

Learn how to Solve 3 real Business Problems. Build Robust AI ,Time Series Models for Time Series Analysis & Forecasting

3.50 (458 reviews)
Udemy
platform
English
language
IT Certification
category
instructor
Time Series Analysis Real World Projects in Python
63,063
students
4 hours
content
Jul 2023
last update
$74.99
regular price

What you will learn

Carry out time-series analysis in Python and interpreting the results, based on the data in question.

Forecast the future based on patterns observed in the past.

Gain Hands-on by solving Real World Use-cases

Comprehend stationarity and how to test for its existence.

Description

Are you looking to land a top-paying job in Data Science , AI & Time Series Analysis & Forecasting?

Or are you a seasoned AI practitioner who want to take your career to the next level?

Or are you an aspiring data scientist who wants to get Hands-on  Data Science and Time Series Analysis?


If the answer is yes to any of these questions, then this course is for you!

This course will teach you the practical skills that would allow you to land a job as a quantitative financial analyst, a data analyst or a data scientist.

In business, Data Science , AI  is applied to optimize business processes, maximize revenue and reduce cost. The purpose of this course is to provide you with knowledge of key aspects of data science & Time Series applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.

Welcome to the best online resource for learning how to use the Python programming Language for Time Series Analysis!

This course will teach you everything you need to know to use Python for forecasting time series data to predict new future data points.



1.Task #1 @Predicting the Temperature  : Develop an Time Series model to predict Temperature..

3.Task #2 @Predict Covid-19 Cases: Develop Time Series Model using Prophet that can predict Covid-19 cases

2.Task #3 @Predict the Stock Prices: Predict the prices of stock using Time Series Algorithms.


Content

Introduction

Intro to this course & course Benefits
How to follow this course-Must Watch
Download Anaconda Navigator & set-up

Predict Temperature of Different Cities using Time Series Analysis Algorithms

Introduction to Business Problem & Dataset
Analyse Whether Global Warming exists or not
Explore Average Temperature of Each Season
Perform Data Pre-Processing on your data
How to check Whether Data is Stationery or not
Examine seasonality in a data
Build Time Series Model using Moving Average
Intuition behind ARIMA --part 1
Intuition behind MA model -- ARIMA part 2
Intuition behind AR model -- ARIMA part 3
Intuition behind Integrating -- ARIMA part 4
Applying ARIMA algorithm on your data
How to Cross Validate your Time Series Model?

Predicting Covid-19 Cases using Prophet

Introduction to Business Problem & Dataset
Perform Data Pre-Processing on data..
Applying Prophet Model on Data
Visualising your predictions
How to Cross Validating your Time Series model using Prophet
Obtain Performance Metrics for your model

Predict Stock Prices using Automated Time Series Models

Introduction to Business Problem & Dataset
Analyzing Time Series data
Data preparation for Time Series Forecasting
Apply Auto-Arima on data
Evaluating Time Series Model

Reviews

Chuck
April 2, 2023
I really felt the explanation for the operations was very clear and useful. I also liked the examples as they are helping me with my own time series big data problem, especially visualizing the data and output.
Saga
May 25, 2022
I wouldn't say "real world applications" since most of the analysis are cool but have no real world use. Anyway, great content, I've learnt a couple of interesting things from here and the teacher knows how to transmit knowledge. Recommended.
Larry
January 13, 2022
Great short course of time series analysis with practice real world exercises. The instructor was very responsive to my queries. I love the traditional instructional approach of laying out the agenda and objective and teach it. In the next session, the instructor review what was covered again quickly before repeating the steps above. It's a nice way to let the subject sinks in. I sometimes watch the same video clip a few times before moving one as I might have missed something while typing along. I'm going to move on to the longer TS class after this one.
Ipseeta
January 1, 2022
The speaker's english pronunciation is not upto the mark. I'm sorry but it keeps drawing my attention towards it Looking forward to the next chapter though!
Muhammad
September 11, 2021
good for data science lovers its little bit not in detail but thanks to instructor it was helpful for me .. Recommended
NIKHIL
August 8, 2021
Instructor could have taught in neutral accent. Also some fundamental things pertaining to Time series is also not covered
Nagendra
August 1, 2021
Beautiful Explaination, I have read so many Time series Analysis but this lecture cleared all my doubts and gave confidence in applying this method to Real world Data
Naren
July 26, 2021
Wonderfully explained cases of time series analysis , the author beautifully gravitates you to words the solution.
Aditi
July 13, 2021
The course is great. Really appreciate the efforts of the instructor for responding to all the QnA issues in a very detailed manner.
Syd
June 27, 2021
This course is essentially just a code tutorial on how to use ARIMA, Facebook's Prophet, and Auto-ARIMA. It does not go over time-series analysis concepts/fundamentals. Some concepts such as seasonality are discussed, but not explained. Basically this course is code documentation in a video instead.
Heena
June 25, 2021
All the concepts are very well explained and all the doubts are very promptly cleared by the instructor. Overall its just worth the time and money!
Edoh
June 17, 2021
A well explained course (projects). I admire your works!!! Keep learning, keep practicing and keep growing!!!
Tan
May 14, 2021
Several codes are erroneous, especially the for loop at the front part of the cross validation. Intuition lectures of ARIMA are averagely good. Can be improved overall.
Sunny
April 24, 2021
I can't give any higher rating because of the accent problem. Even the auto caption cannot translate correctly.
Mário
March 31, 2021
O professor explica muito bem. Há alguns poucos erros no código dovídeo, que ele corrige nos notebooks que compartilha. Por exemplo, na Seção 2, item 9, a função do notebook (teste Dickey-Fuller) está correta, mas a função que aparece no vídeo está um pouco diferente e incorreta. O gráfico do item 7 da Seção 2 não funcionou, mesmo copiando do notebook compartilhado pelo professor. Mesmo com esses probleminhas, o curso está muito bom.

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3797306
udemy ID
1/24/2021
course created date
1/27/2021
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