ATHARVA RAIBAGI \\ atharva.raibagi@ttu.edu

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Major: Computer Science

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Shreyesh Arangath \\ shreyesh.arangath@ttu.edu

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Major: Computer Science

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OVERVIEW

The purpose of this course is to help students interested in learning more about Data Science get their start in the field. This course is introductory, primarily intended to establish a foothold in the field on data science and learn the power of data.

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Students who successfully complete this course will:

• Have an understanding of what Data Science is

• Be able to plot the extracted data in different kinds of graphs and plots

• Be able to extract specific data from a given dataset

• Have a basic understanding of Python and Jupyter Notebook

• Be given members points per session attended (5pts per session)

TARGET AUDIENCE

All members with a technical and non-technical background are welcome. This course does not require any technical/STEM background and welcomes any member interested in getting his or her start in data science.

COURSE SCHEDULE - MEETING DATES, TIMES, AND LOCATIONS COMING SOON

Class 1: Course Overview, Introduction to Data Science, Downloading required Software

Class 2: Basics of Python programming language, Introduction to NumPy and Pandas

Class 3: Use NumPy and Pandas to extract information from different datasets

Class 4: Introduction to Regression plots and plotting them in Matplotlib and Seaborn

Class 5: Interactive and Geographical Plotting using Plotly, Cufflinks and Chloropleth maps

Class 6 (Optional): Revision of different Python Libraries and Plots

Class 7: Final Exam

REQUIRED SUPPLIES

Laptop (Encouraged)

MICRO-CERTIFICATION REQUIREMENTS

• 100% attendance

• Attendance quiz at the end of each class

• Pass final exam with 80% or higher