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Overview
Context
Time series data is one of the most common data types and understanding how to work with it is a critical data science skill if you want to make predictions and report on trends.
In this Time Series in Python course offered by Data Camp, you'll learn how to manipulate time series data using pandas, work with statistical libraries including NumPy and statsmodels to analyze data, and develop your visualization skills using Matplotlib, SciPy, and seaborn.
You'll then apply your time series skills using real-world data, including financial stock data, UFO sightings, CO2 levels in Maui, monthly candy production in the US, and heartbeat sounds.
By the end of this track, you'll know how to forecast the future using ARIMA class models and generate predictions and insights using machine learning models.
Programme Structure
Courses include:
- Manipulating Time Series Data in Python
- Time Series Analysis in Python
- Visualizing Time Series Data in Python
- ARIMA Models in Python
- Machine Learning for Time Series Data in Python
Key information
Duration
- Part-time
- 3 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Statistics Software Engineering View 109 other Short Courses in Statistics in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- There are no prerequisites for this track
- This track is suitable for beginners as the courses are designed to build your knowledge and skills from the ground up, allowing you to progress at your own pace.
- This track will be beneficial to data scientists, data engineers, data analysts, and software developers looking to gain experience in working with time series data.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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