Mastering Time Series Analysis and Forecasting with Python
This comprehensive course will equip you with the essential skills to analyze, model, and forecast time-series data effectively. Whether you're a data scientist, analyst, or business professional seeking to extract valuable insights from time-dependent data, this course will empower you to make informed decisions.
FREE
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Course Overview
Schedule of Classes
Course Curriculum
1 Subject
Mastering Time Series Analysis and Forecasting with Python
16 Learning Materials
Foundations of Time Series Analysis
Introduction to Time Series Data
Understanding Time Series Components
Stationarity and Its Importance
Time Series Modeling with ARIMA
ARIMA Model Fundamentals
Building and Evaluating ARIMA Models
Seasonal Time Series and Decomposition
Statistical Concepts for Time Series
Probability Distributions in Time Series
Descriptive Statistics and Exploratory Data Analysis
Hypothesis Testing and Confidence Intervals
Forecasting with Time Series Models
Forecasting with ARIMA Models
Model Selection and Evaluation
Practical Forecasting and Model Improvement
Advanced Time Series Topics and Applications
Data Visualization for Time Series
Time Series in Python: Practical Implementation
Real-world Case Studies and Applications
ASSIGNMENT
TIMES SERIES ASSIGNMENT
Course Instructor
Ganta Srinath Reddy
21 Courses • 26 Students
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