Time Series Analysis Courses and Certifications

Data Science Conference

Comparison Analysis of FB Prophet, Amazon DeepAR+ and CNN-QR Algorithms for Sales Forecasting

Explore a practical comparison of leading forecasting algorithms - FB Prophet, Amazon DeepAR+, and CNN-QR - through real-world retail sales data analysis and performance evaluation.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

SF Python

Timeseries Analysis for Issue Volume Detection and Escalation

Discover how to build and implement an escalating issues algorithm for effective signal-to-noise management in data feeds, with practical strategies and implementation insights from Sentry's data team.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Centre International de Rencontres Mathématiques

Mixing Properties of (Non-)Stationary INGARCH(1,1) Processes

Explore mixing properties of (non-)stationary INGARCH(1,1) processes in this mathematical conference talk, focusing on adaptive and high-dimensional spatio-temporal forecasting methods.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Fourier Phase Index for Extracting Signatures of Determinism and Nonlinear Features in Time Series

Explore a novel method for analyzing time series data, extracting deterministic signatures and nonlinear features using the Fourier Phase Index.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

INI Seminar Room 2

Mean and PGA for Time Series: The Signature Method Answer

Explore the signature method as a solution for calculating mean and Principal Geodesic Analysis (PGA) for time series with Prof. Marianne Clausel's comprehensive mathematical approach.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

INI Seminar Room 2

Mean and PGA for Time Series: The Signature Method Answer

Discover how the signature method provides solutions for calculating mean and Principal Geodesic Analysis (PGA) for time series data in this mathematical seminar by Professor Marianne Clausel.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

DigitalSreeni

Time Series Statistical Comparison - When Data Points Aren't Independent

Discover advanced statistical methods for comparing time series data when traditional tests fail due to temporal autocorrelation and dependent observations.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Computational Genomics Summer Institute CGSI

Conformal Prediction in Time Series

Discover advanced conformal prediction techniques for time series analysis, including JANET and JAPAN methods for adaptive prediction regions with uncertainty quantification.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

AnalystPrep

Nonstationary Time Series - FRM Part 1 2025 Book 2 Chapter 11

Master nonstationary time series analysis including linear/nonlinear trends, seasonality modeling, random walks, unit roots, and h-step-ahead forecasting for FRM Part 1 exam preparation.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Credential

Journey into Data Science with Python

1432 ratings at CodeSignal

Master Python-based data science essentials, from NumPy and Pandas to machine learning, through hands-on projects with real datasets like Titanic and airline data. Build practical skills in visualization, preprocessing, and predictive modeling.

• CodeSignal
• 28 hours
• Self-Paced
• Free Certificate
• 7 courses

Time Series

Explore time series analysis techniques including forecasting, regression, moving averages, and trend analysis for data-driven insights.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Time Series

Explore time series analysis through hands-on sessions covering EDA, stock analysis, and advanced forecasting models like ARIMA, SARIMAX, and Fbprophet.

• YouTube
• 4 hours 30 minutes
• Self-Paced
• Free Video

Joining Data with pandas

158 ratings at DataCamp

Learn to combine data from multiple tables by joining data together using pandas.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Introduction to Data Visualization with Matplotlib

109 ratings at DataCamp

Learn how to create, customize, and share data visualizations using Matplotlib.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Analyzing Police Activity with pandas

44 ratings at DataCamp

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available