Python for Time Series Data Analysis (Udemy.com)

Learn how to use Python , Pandas, Numpy , and Statsmodels for Time Series Forecasting and Analysis!

( 264 Reviews )

Created by: Jose Portilla

Produced in 2021

What you will learn

Pandas for Data Manipulation
NumPy and Python for Numerical Processing
Pandas for Data Visualization
How to Work with Time Series Data with Pandas
Use Statsmodels to Analyze Time Series Data
Use Facebook's Prophet Library for forecasting
Understand advanced ARIMA models for Forecasting

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 94 / 100

Course Description

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.
We'll start off with the basics by teaching you how to work with and manipulate data using the NumPy and Pandas libraries with Python. Then we'll dive deeper into working with Pandas by learning about visualizations with the Pandas library and how to work with time stamped data with Pandas and Python.
Then we'll begin to learn about the statsmodels library and its powerful built in TimeSeries Analysis Tools. Including learning about Error-Trend-Seasonality decomposition and basic Holt-Winters methods.
Afterwards we'll get to the heart of the course, covering general forecasting models. We'll talk about creating AutoCorrelation and Partial AutoCorrelation charts and using them in conjunction with powerful ARIMA based models, including Seasonal ARIMA models and SARIMAX to include Exogenous data points.
Afterwards we'll learn about state of the art Deep Learning techniques with Recurrent Neural Networks that use deep learning to forecast future data points.
This course even covers Facebook's Prophet library, a simple to use, yet powerful Python library developed to forecast into the future with time series data.
So what are you waiting for! Learn how to work with your time series data and forecast the future!
We'll see you inside the course!
Who this course is for:
Python Developers interested in learning how to forecast time series data

Time: 15.5h

Instructor Details

Jose Portilla

4.7 Rating
264 Reviews

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University andyears ofexperience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics,materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming theability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc.and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, McKinsey and many more.Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

Reviews

4.7

264 total reviews

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By Bose Varghese on 12/20/2020

Covering almost all topics and indepth explanations

By Udit Kumar on 12/20/2020

Need more basics level handholding -- like how to upload excel data into the python workbook etc. also practical examples like currency forecasting for on annual basis

By Eatgasegras on 12/20/2020

Good, what I expected

By Shubhendra Kumar on 12/20/2020

This course on time series analysis is simply the best you can get on the entire Udemy platform as of now. Most of the state of the art techniques have been covered in the relevant sections. However Facebook Prophet's section could have been detailed a bit more. Definitely, the course is worth pursuing for solidifying the foundations of time series analysis via python.

By Jose Vega on 12/6/2020

Very well explained all concepts and their application on the notebook

By Ruben Rosa on 12/6/2020

Great explanation of ACF / PCF. Great explation of auto_arima and how the p,d,q and P,D,Q are chosen. Great notebooks and complementary lectures links

By Akshaya Prabha on 11/24/2020

Excellent course. Awesome instructor. Highly recommendable.

By Shruti Shah on 11/22/2020

it is an amazing curse. Will be using it at work..

By Berkay Akn on 11/19/2020

Thanks for the course Jose, Chee and everyone involved. It gives good intro so that you can get a grasp on subjects and search/learn further. This is how udemy courses should be in general.

By Kishore Viswanadhuni on 11/5/2020

This is excellent course. In the past I did go thru few other courses about timeseries analysis but ended up confused. The instructor here had dealt every topic with utmost clarity. Thanks Jose Portilla

By Balaji Srinivasan on 10/21/2020