Time Series Analysis Stock Market Prediction Python

Analyze and Predict Stock Market trends using Python and applications of Time Series.

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Beginner

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2.25 Hrs

Learning hours

13.6K+
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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.

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Course Outline

Overview of Capital Market
Exponential Smoothing
ARIMA
Comparing Different Models

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Time Series Analysis Stock Market Prediction Python

2.25 Learning Hours . Beginner

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