TECHNOLOGIES

You’ll be exposed to the tools a successful data scientist uses every day including programming, Python for statistical analysis, data management, and data visualization. Besides these technical skills, you’ll also learn essential soft skills such as effective data storytelling and working within your office to nurture a culture of data discovery.

PARTICIPANT PROFILE

This course is intended for people with little to no background in data analysis or computer programming, although a general familiarity with statistics and general tech competency are assumed. This certificate is designed for someone with tenacity and a general aptitude for learning. A love of problem-solving is a must for this profession. A Bachelor’s degree in IT, Science, or Business is recommended but not required.

SYSTEM REQUIREMENTS

Students are required to supply their own Mac or Windows laptop running the newest version of OS (Sierra) or Windows 8 or higher, respectively. It must have 2 GB of RAM (8 GB recommended) as well as 3.2 GB of available hard-disk space for installation; additional free space required during installation (cannot install on a volume that uses a case-sensitive file system or on removable flash storage devices). You can purchase a Mac laptop here. Let us know if you have questions.

TAKEAWAYS

This certificate will teach some of the most important techniques and tools necessary to introduce data science into company culture; get necessary political buy-in; find, manipulate, and analyze the data present inside your company’s database; make predictions of outcomes; and create visualizations that can help non-technical users understand and see the identified trends and patterns inside the data.

TIMELINE

The certificate program meets 2 nights per week for 24 weeks over the course of 35 weeks for a total of 132 hours of in-class instruction to complete the certificate. Individual modules may also be taken separately.

The Certificate consists of 6 modules:

Cohort 6 Schedule 

1. Introduction to Data Science: 4 weeks | $3,500. Dates: January 14 – February 4, 2019
2. Data Manipulation and Management: 4 weeks | $3,500. Dates: February 18 – March 13, 2019
3. Basic Model Building: 4 weeks | $3,500. Dates: March 25 – April 22, 2019
4. Mathematics of Model Evaluation: 4 weeks | $3,500. Dates: May 6 – June 3, 2019
5. Python and Advanced Data Modeling: 4 weeks | $3,500. Dates: June 10 – July 3, 2019
6. Data Visualization using Tableau: 4 weeks | $3,500. Dates: July 15 – August 7, 2019

Cohort 7 Schedule 

Part One: Data Analyst

1. Introduction to Data Science: 4 weeks | $3,500. Dates: June 3 – June 26, 2019
2. Data Manipulation and Management: 4 weeks | $3,500. Dates: July 8 – July 31, 2019
3. Data Visualization using Tableau: 4 weeks | $3,500. Dates: August 12 – September 9, 2019

Part Two: Data Scientist (Machine Learning/A.I.)

1. Basic Model Building: 4 weeks | $3,500. Dates: September 18 -October 14, 2019
2. Mathematics of Model Evaluation: 4 weeks | $3,500. Dates: October 21- November 18, 2019
3. Python and Advanced Data Modeling: 4 weeks | $3,500. Dates: November 20 – December 18, 2019

Looking to take participate in Cohort 8? Keep your eyes out for dates! 

Click here to begin the application process.

View course schedule and descriptions.

Classes meet in at 1905 Harney St. from 6 – 9pm on Mondays and Wednesdays of each week.

Have questions about this course? Click here.