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Phoenix, AZ /

Intro to Data Science: Python and SQL (9/10/19 - 10/31/19)


Program Overview:

Develop the skills needed to solve business problems using data. Master tools in statistical programming, data-driven analysis, and data visualization, and apply concepts by completing real case studies. This is an 8-week part-time course that meets on Tuesday/Thursday nights from 6-8pm and one Saturday per month.

Purchase tickets here:

Who You Are:

This course is for analysts, product managers, statisticians, business managers and anyone else who wants to build their Data Science skills. Further your technical skills in visualizing social, consumer, or popular trends. The only prerequisite is a desire to learn.

Week 1 9/10 & 9/12: Python Fundamentals: Data types and Functions

Week 2 9/17 & 9/19 : Python Fundamentals continued: Classes; Scientific libraries

*Weekend #1 - 09/21 10:00am-2:00pm

Week 3 9/24 & 9/26: SQL Fundamentals

Week 4 10/1 & 10/03: Statistical Concepts

Week 5 10/08 & 10/10: Data Visualization; Exploratory Data Analysis

Week 6 10/15 & 10/17: Linear and Logistic Regression

*Weekend #2 - 10/19 10:00am-2:00pm

Week 7 10/22 & 10/24: Introduction to Decision Trees

Week 8 10/29 & 10/31: Introduction to Graphs & Networks; Social Network Analysis

Tuition Credit:

Up to $1000 of workshop payment can be used as tuition credit for our Data Science Immersive. This workshop is intended to help prepare candidates who already have the necessary statistics background for our admissions process. Tuition credit can be applied for any Data Science Immersive cohort that an applicant is accepted to with a start date within 1 year of the completion of the Python Workshop.

For questions, please email Jeff at [masked].

Refund Policy

-Cancel more than 48 hours before first class: Full Refund (minus processing fee).

-Cancel within the first week: Charged for 1 day of class, and reimbursed the remaining fees paid for the workshop.

-Cancel after first week: Can apply cost to different program, no refund.

Please contact [masked] for more details.


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