The course builds proficiency through hands-on learning in mathematics, statistics, computer programming, key data science concepts and Python.
A High School Diploma or equivalent such as a General Education Diploma (GED) from an institution of higher education accredited by an accrediting association recognized by the US Department of Education.
Completion of Colaberry Data Analytics program or equivalent.
Duration 8 weeks
Schedule Class meets 2 days/week
Saturdays 2:00 PM CST to 5:00 PM CST
Wednesdays 6:30 PM CST to 9:30 PM CST
Module 1: The Process of Data Science (2 class hours)
What is Data Science?
Thinking Through Data Science Problems
Module 2: Python for Data Scientists (24 class hours; 48 lab hours)
Python and Jupyter Notebooks
Data Structures in Python
Dealing with Strings and Dates
Decision Statements and Loops
Libraries and Functions
Computations with Numpy
Data Analysis with Pandas
Data Visualization with Matplotlib and Plotly
Statsmodels in Python
Module 3: Data Handling for Data Scientists (24 class hours; 48 lab hours)