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Python Programming for Data Analysis
What You Will Learn
This is a rapid introduction to NumPy, pandas and matplotlib for experienced Python programmers who are new to those libraries. Learn to use NumPy to work with arrays and matrices of numbers; work with pandas to analyze data; and learn to work with matplotlib from within pandas. Basic Python programming experience is needed. In particular, work with strings, lists, tuples and dictionaries, loops and conditionals, and writing your own functions is helpful.
This is a component of the Python Programming Certificate.
This section is facilitated by an instructor online. Within 2 business days of the class start date, you will receive instructions about how to access the class online.
Certification
Python Programming Certificate
Python is a popular introductory programming language. Learn how to use code in an efficient, flexible and effective way.
Courses will cover topics such as code readability, syntax, expressions, GUIs, CGI programming and more. Complete all courses within one year and receive the Python Programming Certificate.
Prerequisites: Some programming experience suggested.
See individual courses for prerequisites, detailed descriptions, outlines and online registration.
Required Courses
We suggest attending these courses in this order:
- Introduction to Python Programming
- Advanced Python Programming
- Python Programming for Data Analysis
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$1,295.00
Python Programming for Data Analysis
Selected Course
Dates: 3/10/2026 - 3/19/2026 Tu Th
Course type: Data Management
Times: 5:30PM-9:00PM
Location: Live Online Campus Map 
Contact Hours:
Course Code: BIGDATA-102-19
Category: Data Management
Contact Hours: 14.0
Format: Classroom
Schedule Details:
After registering for this course, you can come back to the catalog to register for more courses.
Issues with registering? Please contact us at CERegistration@jccc.edu or call 913-469-2323.
Similar Courses
- NumPy
a. One-dimensional Arrays
b. Multi-dimensional Arrays
c. Getting Basic Information about an Array
d. NumPy Arrays Compared to Python Lists
e. Universal Functions
f. Modifying Parts of an Array
g. Adding a Row Vector to All Rows
h. Random Sampling - pandas
a. Series and DataFrames
b. Accessing Elements from a Series
c. Series Alignment
d. Comparing One Series with Another
e. Element-wise Operations
f. Creating a DataFrame from a NumPy Array
g. Creating a DataFrame from Series
h. Creating a DataFrame from a CSV
i. Getting Columns and Rows
j. Cleaning Data
k Combining Row and Column Selection
l. Scalar Data: at[] and iat[]
m. Boolean Selection
n. Plotting with matplotlib
Live Online
help
Real-time discussions with your instructor and fellow students via technology
Python Programming for Data Analysis
| DATE | TIME | DAY | PRICE | AVAILABILITY | LOCATION | |
| 3/10/2026 - 3/19/2026 | 5:30PM-9:00PM | Tu Th | $1,295.00 | 20 Seats Open | Live Online Campus Map |
Register |
Live Online
help
Real-time discussions with your instructor and fellow students via technology
$1,295.00
Python Programming for Data Analysis
Selected Course
Dates: 3/10/2026 - 3/19/2026 Tu Th
Course type: Data Management
Times: 5:30PM-9:00PM
Location: Live Online Campus Map
Contact Hours:
Course Code: BIGDATA-102-19
Category: Data Management
Contact Hours: 14.0
Format: Classroom
Schedule Details:
After registering for this course, you can come back to the catalog to register for more courses.
Issues with registering? Please contact us at CERegistration@jccc.edu or call 913-469-2323.
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