Simple Python Time Series Analysis Crash Course
Simple Python Time Series Analysis Crash Course
Duration: 1h 6m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 377 MB
Genre: eLearning | Language: English
Duration: 1h 6m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 377 MB
Genre: eLearning | Language: English
Learn how to snag the most in demand role in the tech field today!
What you'll learn:
Use Statsmodels to Analyze Time Series Data
How to Work with Time Series Data with Pandas
Use Facebook's Prophet Library for forecasting
Data Manipulation
Data Visualization
Requirements:
No necessary experience needed
Description:
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 Time Series Analysis Tools.
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.
If there is some time dependency, then you know it - the answer is time series analysis.
This course will teach you the practical skills that would allow you to land a job as a quantitative finance analyst, a data analyst or a data scientist.
In no time, you will acquire the fundamental skills that will enable you to perform complicated time series analysis directly applicable in practice. We have created a time series course that is not only timeless but also:
· Easy to understand
· Comprehensive
· Practical
· To the point
· Packed with plenty of exercises and resources
But we know that may not be enough.
We take the most prominent tools and implement them through Python – the most popular programming language right now. With that in mind…
Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That's just the average! And it's not just about money - it's interesting work too!
Who this course is for:
Python Developers interested in learning how to forecast time series data
Programmers switching languages to Python.
Anyone who is interested to learn time series analysis
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