FOXEXEC0056 - Data Analytics Bootcamp: Python
Course Description
Data Analytics Bootcamp: Python will teach participants how to organize data in a way that allows them to critically analyze a particular area of interest. This asynchronous learning program will take you from a beginner level to skillful programmer with step-by-step instructions.
The course consists of 10 self-guided modules that can be completed at your own pace. Most participants can expect to complete the course in 10 to 15 hours.
Each module contains
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Learning objectives
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Video lectures and quizzes
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Instructions on how to proceed through the module to completion
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Code files required to complete all required modules
The 10 modules are
- Module 1: Introduction to Python
- Module 2: Operators, Variables, and Arrays
- Module 3: Functions and Conditional Statements
- Module 4: Data Management
- Module 5: Loops
- Module 6: Hypothesis Tests and Regressions
- Module 7: Data Visualization
- Module 8: Web Scraping
- Module 9: Textual Analysis and Machine Learning
- Module 10: Capstone Project: Application of all Python Skills Taught
Participants will take online quizzes to reinforce their learning and highlight areas to review before moving to the next module. The course should take between 10 and 15 hours to complete.
Enrollment in this program will allow participants to
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Experience how programming technology affects modern life in the age of information
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Identify opportunities for algorithmic problem solving across a diverse range of applications
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Use Python programming language to solve problems of interest
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Utilize information technology techniques in Python for scraping and collecting data from internet web pages
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Prepare data for analysis, perform econometric analysis, create powerful data visualizations, and make optimal decisions from data
The best candidates for this workshop are students and working professionals who are interested in learning data analytics and computer programming.
System Requirements: To be most successful, participants should use a desktop or laptop computer that meets the system requirements outlined here. Chromebooks, iPads and other tablet devices are not recommended for this course.
Upon Completion: Participants who complete all 10 modules will receive a digital badge of completion from Temple University, suitable for adding to a resume and sharing via social media.
Program Fee: Fee is $99 for Temple University students and $199 for others. Bulk pricing is available for organizations enrolling a large number of participants. Contact gregory.maughan@temple.edu for more details.
Instructor: Dr. Cheng "Jason" Jiang, an Associate Professor in Finance at the Fox School of Business at Temple University. For more information regarding program content, please contact Jason at cheng.jiang@temple.edu.