Data Analytics + Python

A 12-week program for anyone who wants to code. A hands-on, classroom experience with trained instructors working in the industry.

Course Menu

Overview

The theory of data analytics has become increasingly popular and important with the ever-increasing amount of information that is being accumulated on a daily basis. Savvy Coders, in response to this need for more knowledge about how to use data effectively, offers an intensive 12-week course focused primarily on learning everything there is to know about analyzing big datasets efficiently.

Students will begin by knowing just the basics of coding and/or data analysis techniques to become fully qualified for a Data Analyst position. 

Unit 1 of our program focuses on Python and SQL. It includes a deep dive into Python data types, debugging, turtles, modules, recursion, functions, algorithms, tables and strings among others. 

Unit 2 takes the Python and SQL knowledge gained in Unit 1 and applies it to large data sets to extract information and explains it in a clear and concise manner. Using Pandas, Numpy, and other data visualization techniques, students will prepare and present a Capstone Project to demonstrate the knowledge gained during the course.  In addition, throughout the cohort, students will meet with our placement team to work on resume and LinkedIn creation and interview techniques, as well as develop other job seeking skills. Students will also be expected to complete the Python for Everybody Course provided by the University of Michigan to receive a certification.

Start Dates

What You'll Learn

To Include, but not limited to:

  • Agile
  • Excel
  • SQL
  • Python
    • Data Types
    • Modules
    • Variables/Values
    • Strings
    • Lists/Dictionaries/Sets
    • Pandas
    • Matplotlib
    • NumPy
  • Data Visualization
  • Data Analysis
  • Tableau

Prior Knowledge Needed

  • Preferred Bachelor’s Degree or 3-5 years of work experience
  • Familiarity with Excel (bonus points if you have it already on your computer)
  • Basic Understanding of Descriptive statistics
    • i.e., Mean/Median/Mode/Standard Deviation
  • Good presentation and communication skills
  • Strong sense of curiosity
  • The ability to see things through, “Not giving up!”
  • No prior knowledge of coding is required

Course Length, Time, & Location

  • 12 weeks
  • Virtual, evening classes
  • 160 hours of class time

Class Size

0
Students Maximum

Tuition & Financing

Admissions Process

Step 1
Apply
Fill out the quick application form to get moving!
Step 1
Step 2
Meet Your Advisor
Schedule your personalized meeting with your Admissions Advisor so we can set you up with the best course fit.
Step 2
Step 3
Attend a Class Preview
Register and attend a class preview session.
Step 3
Step 4
Finish PreWork
Complete the required pre-work to finalize your admissions process.
Step 4

We endeavor to give back to our communities by increasing tech talent and expanding business opportunities. We designed a comprehensive curriculum that would allow our students to expand their professional horizons in 12-20 weeks.

Questions? Reach out to Justin at 770-301-2937