Data Science in Layman’s Terms: Time Series Analysis

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Price: 29.99$

This course explores a specific domain of data science: time series analysis.  The lectures explain topics in time series from a high level perspective, so that you can get a logical understanding of the concepts without getting intimidated by the math or programming.  Whether you are new to time series or an experienced data scientist, this course covers every aspect of time series.  Topics in time series analysis include: Forecasting – Predicting the future Classification – Categorize a series Segmentation – Breaking a series into periods of distinct characteristics Anomaly Detection – Identifying unexpected observations Signal Processing – Extracting signal from noise Geospatial-Temporal Analysis – Analyzing time series with a location component The later half of the course entails several projects for you to get your hands dirty with time series analysis in Python.  You will learn about modern time series forecasting models and AI, how to build them, and implement them to do extraordinary things.  Generate music with AIDeploy a model to an API to provide machine learning as a service (MLaa S)Build a dashboard with Dash/Plotly Build different types of RNNs and Transformers, using Tensor Flow, for time series modeling Analyze different types of data sources, like CSV, JSON, Geo JSON, HDF5, and MIDIBy the end of this course, you will be able to handle any time series problem.  You will be equipped with the knowledge to build powerful forecasting models, and be able to deploy them.