Courses

This course prepares students for an entry level Data Analyst position while teaching the essential software and trending programming skills.

Course Structure:

1. Week 1. Intro to Python - first steps. Students will be able to:
   • Use an online compiler to execute simple Python scripts.
   • Evaluate the difference between the sequence, selection, and repetition control structures.
   • Create simple algorithms to control the flow of a computer program.
2. Class 2. Python: Functions, Modules, Data Structures. Students will be able to:
   • Use functions to accomplish repeated tasks in a program.
   • Create modules to organize and execute commonly used programs as needed.
   • Develop data structures to manage information used by a computer program.
3. Class 3. Problem-solving with Python. Students will be able to:
   • Create simple algorithms to solve specific programming problems.
   • Explain the different types of data used as input for a Python program.
   • Evaluate output from a program for correct format based on communication goals.
   • Explain how object-oriented programs work increase programming efficiency.
4. Class 4. Data Analytics in google Collab. Students will be able to:
   • Create simple Python programs using an online compiler and Jupyter notebook.
   • Create different types of cells used in a Jupyter notebook.
   • Develop different types of Jupyter notebooks for data analysis.
5. Class 5.  Exploratory Data Analysis. Students will be able to:
   • Create Jupyter notebooks for exploratory data analysis.
   • Develop programs in Python for descriptive analysis of data.
   • Use Jupyter notebooks to clean and wrangle data.
   • Develop a simple linear data model to explore relationships in data.

Each class is project based - your chance to build your own Digital Profile!

• Introduction or review of prior class topics / homework-related or general questions
• Hands-on lab demonstration
• Homework assignment
• Wrap up and Q & A
• Short breaks will be taken throughout the session as determined by the mentor to allow for healthy stretching, refreshment, or to engage in a simple conversation with classmates.