Course Order:

Data Analysis with SQL
Python for Data Analytics
Data Visualization
AI for Data Analytics

Term Length: 6 months

This Finish Fast Checklist is designed to help you stay on track, remain focused, and complete your program on time. To keep yourself motivated, post it where you’ll see it daily.

These 4 courses will help you develop complementary skills related to data analysis, coding, data presentation, and artificial intelligence (AI). Along the way, you will earn 9 competency units by completing each of the following assessments. 

3 Final Projects
2 Certification Exams
Orientation

Our Ready for Success course will help you understand the terms, tools, and teams available to support your learning journey. It’s the first step to complete before beginning your certificate coursework.

Career Services

Ready for the next step in your career? Take advantage of our on-demand career support options via our online tutoring service. These include:

  • Interview Prep
  • Job Search and Application Support
  • Resume Help
Certificate Connect

Don’t miss the Certificate Connect, where you will find additional resources, such as videos, tips and tricks, and/or other tools to support your learning journey. There, you can also interact with students enrolled in this program.

Courses

Data Analysis with SQL

2 Competency Units

View Syllabus

Skills:

  • Data Analysis 
  • PostgreSQL
  • Structured Query Language (SQL) 

Learning Activities:

  • Reading materials 
  • Case studies 
  • Interactive elements 
  • Videos 
  • Knowledge checks 

Python for Data Analysis

2 Competency Units

View Syllabus

Skills:

  • Python Syntax Description
  • Python Function Creation 
  • Module Import 
  • Perform Exploratory Data Analysis (EDA) 
  • Descriptive Statistics Calculation 
  • Question and Hypothesis Development 
  • Statistical Methods Application 

Learning Activities:

  • Reading materials
  • Case studies 
  • Interactive elements 
  • Videos 
  • Knowledge checks 

Data Visualization

3 Competency Units

View Syllabus

Skills:

  • Data Analysis

Learning Activities:

  • Reading materials 
  • Case studies 
  • Interactive elements 
  • Videos 
  • Knowledge checks 

AI for Data Analytics

2 Competency Units

View Syllabus

Skills:

  • Data Analysis 
  • Data Presentation 
  • Artificial Intelligence (AI) 

Learning Activities:

  • Reading materials 
  • Interactive learning components 
  • Practice scenarios 
  • Videos 
  • Knowledge checks