Schedule


Week Session Day Date Topic
1 1 Th 08/29 Course Overview & Introduction to the Data Science Lifecycle
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Assignment 1 due 09/05 11:59 PM
2   M 09/02 Labor Day - no classes (Tuesday follows Monday schedule)
2 2 Tu 09/03 Python Basics
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2 3 Th 09/05 Python Basics
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3 4 M 09/09 Python conditionals, loops, functions, aggregating.
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3 5 Th 09/12 Python conditionals, loops, functions, aggregating (continued)
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4 6 M 09/16 Python visualization, data manipulation , and feature creation.
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4 7 Th 09/19 Python visualization, data manipulation , and feature creation (continued)
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5 8 M 09/23 Overview of Modeling
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5 9 Th 09/26 Overview of Modeling
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6 10 M 09/30 Introduction to R
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6 11 Th 10/03 Introduction to R
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7 12 M 10/07 Python and Regression
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7 13 Th 10/10 Python and Regression
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8 14 M 10/14 No Class - Columbus Day
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8 15 Th 10/17 Midterm
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9 16 M 10/21 Unsupervised Models
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Assignment 7 due 10/28 11:59 PM
9 17 Th 10/24 Unsupervised Models
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10 18 M 10/28 Advanced Supervised Models
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10 19 Th 10/31 Advanced Supervised Models
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11 20 M 11/04 Text and NLP
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11 21 Th 11/07 Text and NLP
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12 22 M 11/11 Introduction to Big Data
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12 23 Th 11/14 Time Series Analysis
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13 24 M 11/18 Image Data and Deep Learning
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13 25 Th 11/21 Image Data and Deep Learning
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14 26 M 11/25 Automl and Modeling Packages
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14   Th 11/28 Thanksgiving
15 27 M 12/02 Automl and Model Search
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15 28 Th 12/05 Final Presentations
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16 29 M 12/09 Final Presentations
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17   TBD TBD Final Exam