Time Series

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Bayesian Statistics: Time Series Analysis (Coursera)

This course for practicing and aspiring data scientists and statisticians. It is the fourth of a four-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, Techniques and Models, and Mixture models.

Demand Forecasting Using Time Series (Coursera)

Oct 10th 2022
Demand Forecasting Using Time Series (Coursera)
Course Auditing
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This course is the second in a specialization for Machine Learning for Supply Chain Fundamentals. In this course, we explore all aspects of time series, especially for demand prediction. We'll start by gaining a foothold in the basic concepts surrounding time series, including stationarity, trend (drift), cyclicality, and seasonality. [...]
Oct 10th 2022
Course Auditing
33.00 EUR/month

Capstone Project: Predicting Safety Stock (Coursera)

Oct 10th 2022
Capstone Project: Predicting Safety Stock (Coursera)
Course Auditing
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In this course, we'll make predictions on product usage and calculate optimal safety stock storage. We'll start with a time series of shoe sales across multiple stores on three different continents. To begin, we'll look for unique insights and other interesting things we can find in the data by [...]
Oct 10th 2022
Course Auditing
33.00 EUR/month

Excel Time Series Models for Business Forecasting (Coursera)

Oct 10th 2022
Excel Time Series Models for Business Forecasting (Coursera)
Course Auditing
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This course explores different time series business forecasting methods. The course covers a variety of business forecasting methods for different types of components present in time series data — level, trending, and seasonal. We will learn about the theoretical methods and apply these methods to business data using Microsoft [...]

Introduction to Trading, Machine Learning & GCP (Coursera)

In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain [...]

Sequences, Time Series and Prediction (Coursera)

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

Practical Time Series Analysis (Coursera)

Many of us are "accidental" data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we have no formal analytic training. This course is designed for people with some technical competencies who would like more than a "cookbook" approach, [...]

Applying Data Analytics in Finance (Coursera)

This course introduces an overview of financial analytics. You will learn why, when, and how to apply financial analytics in real-world situations. You will explore techniques to analyze time series data and how to evaluate the risk-reward trade off expounded in modern portfolio theory. While most of the focus [...]

Modeling Time Series and Sequential Data (Coursera)

Oct 3rd 2022
Modeling Time Series and Sequential Data (Coursera)
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In this course you learn to build, refine, extrapolate, and, in some cases, interpret models designed for a single, sequential series. There are three modeling approaches presented. The traditional, Box-Jenkins approach for modeling time series is covered in the first part of the course. This presentation moves students from [...]

Creating Features for Time Series Data (Coursera)

Oct 3rd 2022
Creating Features for Time Series Data (Coursera)
Course Auditing
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This course focuses on data exploration, feature creation, and feature selection for time sequences. The topics discussed include binning, smoothing, transformations, and data set operations for time series, spectral analysis, singular spectrum analysis, distance measures, and motif analysis.