lectures

2020

SEAS 6401 Introduction to Data Analytics

Lectures from GWU’s Graduate Data Analytics program established jointly byt the Engineering (EMSE) and Compuster Science (CS) departments. Basic techniques of data science; algorithms for data mining; basics of statistical modeling and their “Big Data” applications. Concepts, abstractions, and practical techniques.

Lecture 1: Introduction to Data Analytics
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Lecture 2: Data Science Process and Data Analytics Life Cycle
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2019

SEAS 6401 Introduction to Data Analytics

Lectures from GWU’s Graduate Data Analytics program established jointly byt the Engineering (EMSE) and Compuster Science (CS) departments. Basic techniques of data science; algorithms for data mining; basics of statistical modeling and their “Big Data” applications. Concepts, abstractions, and practical techniques.

Lecture 1: Introduction to Data Analytics
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Lecture 2: Data Science Process and Data Analytics Life Cycle
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Lecture 3: Data Preparation
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Lecture 4: Data Visualizations
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Lecture 5 & 6: Exploratory Data Analysis
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Lecture 7: Big Data Part 1
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Lecture 8: Machine Learning Part 1
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Lecture 9: Machine Learning Part 2
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Lecture 10: Machine Learning - Bias and Fairness Part 2a
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Lecture 11: Machine Learning Part 3
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Lecture 12: Machine Learning Part 4 - Graph Analytics
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2018

EMSE 6992 Introduction to Data Analytics

Lectures from GWU’s Graduate Data Analytics program established jointly byt the Engineering (EMSE) and Compuster Science (CS) departments. Basic techniques of data science; algorithms for data mining; basics of statistical modeling and their “Big Data” applications. Concepts, abstractions, and practical techniques.

Lecture 1: Introduction to Data Analytics
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Lecture 2: Review: Linear Algebra and Computer Science
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Lecture 3: Data Wrangling and Preparation
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Lecture 4: Data Science Process and Analytics Life Cycle
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Lecture 5: Data Visualizations
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Lecture 6: Exploratory Data Analysis Part1
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Lecture 7: Exploratory Data Analysis Part2
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Lecture 8: Big Data Analysis
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Lecture 9: Machine Learning Part1
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Lecture 10: Machine Learning Part2
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Lecture 11: Machine Learning Part3
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Lecture 12: Natural Language Processing
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Lecture 13: Graphs
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2017

EMSE 6992 Introduction to Data Analytics

Lectures from GWU’s Graduate Data Analytics program established jointly byt the Engineering (EMSE) and Compuster Science (CS) departments. Basic techniques of data science; algorithms for data mining; basics of statistical modeling and their “Big Data” applications. Concepts, abstractions, and practical techniques.

Lecture 1: Introduction to Data Analytics
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Lecture 2: Understanding Big Data and Motivation/Drivers for Big Data Adoption
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Lecture 3: Big Data Adoption and Planning Considerations and Enterprise Technologies and Big Data Intelligence
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Lecture 4: Big Data Analysis, Technology Concepts, and Techniques
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talks

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