AIM Code School

Fundamentals of Data Science

DEMAND FOR DATA SCIENTISTS

The global research and advisory firm Gartner states the need for data scientists is growing at about three times those for statisticians and business intelligence analysts, particularly in the fields of:

  • Banking and Credit Unions
  • Education
  • Insurance
  • Finance
  • Healthcare
  • Transportation
  • Construction and A/E
  • Manufacturing
  • Industrial
  • E-commerce
  • Retail
  • Agriculture

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 Business Intelligence certificate program meets 2 nights per week for 12 weeks for a total of 72 hours of in-class instruction to complete the certificate. The Data Scientist certificate program meets 2 nights per week for 12 weeks for a total of 72 hours of in-class instruction to complete the certificate. Individual modules may also be taken separately for no certificate completion.

The Certificate consists of 6 modules:

Cohort 8 Schedule 

Part One: Business Intelligence Certificate

  1. Introduction to Python Programming: 4 weeks | $2,500. Dates: January 27 – February 19, 2020
  2. Data Manipulation and Management: 4 weeks | $2,500. Dates: March 2 – March 25, 2020
  3. Data Visualization using Tableau: 4 weeks | $2,500. Dates: April 6 – April 29, 2020

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

  1. Basic Model Building: 4 weeks | $2,500. Dates: May 11 – June 8, 2020 (no class on Memorial Day)
  2. Mathematics of Model Evaluation: 4 weeks | $2,500. Dates: June 15 – July 8, 2020
  3. Advanced Data Science Modeling in Python: 4 weeks | $2,500. Dates: July 20 – August 12, 2020

Cohort 9 Schedule 

Part One: Business Intelligence Certificate

  1. Introduction to Python Programming: 4 weeks | $2,500. Dates: August 3-August 27, 2020
  2. Data Manipulation and Management: 4 weeks | $2,500. Dates: September 14-October 7, 2020
  3. Data Visualization using Tableau: 4 weeks | $2,500. Dates: October 19-November 11, 2020

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

  1. Basic Model Building: 4 weeks | $2,500. Dates: November 23-December 16, 2020
  2. Mathematics of Model Evaluation: 4 weeks | $2,500. Dates: January 3-January 27, 2021
  3. Advanced Data Science Modeling in Python: 4 weeks | $2,500. Dates: February 10-March 10, 2021

Click here to begin the application process.

View course schedule and descriptions.

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

Have questions about this course? Click here.