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Time Series Analysis Stock Market Prediction Python
4.47
Beginner level
2.25 learning hrs
Analyze and Predict Stock Market trends using Python and applications of Time Series.
Modules updated 07/2025
About this course
Many people are into the stock market. However, the market changes time-to-time and becomes difficult to predict. Hence, stock market prediction using time series analysis has become a hot topic. A series of observations over a specific period is known as a time series. A univariate time series comprises values taken by a single variable at regular time instances over a period. A multivariate time series includes values taken by multiple variables at similar periodic time instances over a period.
In this course, we'll be exploring the concepts and applications of the Time Series in the Stock Market. In addition, we will learn the overview of capital markets, exponential smoothing, and ARIMA. We will also learn how to compare different models.
Great Learning and the world’s top universities, such as MIT, UT Austin, Northwestern University, NUS, etc., have collaborated and designed India’s best online data science courses. An exhaustive curriculum has been prepared by world-class professors for you to learn advanced skills in data science and machine learning. The faculty of data science courses offer industry-relevant training in numerous concepts. Also, you will receive personalized mentorship from industry experts.
Course outline
Overview of Capital Market
Exponential Smoothing
ARIMA
Comparing Different Models
Get access to the complete curriculum once you enroll in the course
4.47
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Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
Is time series analysis useful for stock market prediction?
Multiple analysts may have different opinions on this. But Time Series Analysis model is vastly utilized for stock market prediction. You can dig deeper into this concept by gaining in-depth knowledge by enrolling in Great Learning's free Time Series Analysis Stock Market Prediction Python course.
How does Python predict future stock prices?
Python can predict future stock prices using various methods, including linear regression, k-nearest neighbours, and support vector machines. It is capable of implementing them through its vast library support and its easy syntax that helps in the effective implementation of these methods.
Can you do time series analysis in Python?
Python is utilized for the Time Series Analysis because of its extensive library support. Yes, time series analysis can be performed in Python using the Statsmodels library, and this library provides functions for performing statistical analysis on time series data. You can learn more about Time Series Analysis in Python and prediction through Great Learning's free Time Series Analysis Stock Market Prediction Python course.
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