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Python Programming for Data Analysis

Instructor

Cheryl Roth

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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

Introduction to Python Programming Fall 2026

Advanced Python Programming Fall 2026

Python Programming for Data Analysis Fall 2026 View
Certificate

Python Programming for Data Analysis

Course Dates

Live Online help Real-time discussions with your instructor and fellow students via technology

$1,295.00

Python Programming for Data Analysis

10/26/2026 - 11/4/2026 M W 5:30PM-9:00PM 20 Seats Open

Selected Course

Dates: 10/26/2026 - 11/4/2026 M W

Course type: Data Management

Times: 5:30PM-9:00PM

Location: Live Online Campus Map

Contact Hours: 14.0

register / login

Course Code: BIGDATA-102-21

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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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
10/26/2026 - 11/4/2026	5:30PM-9:00PM	M W	$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

10/26/2026 - 11/4/2026 M W 5:30PM-9:00PM 20 Seats Open

Selected Course

Dates: 10/26/2026 - 11/4/2026 M W

Course type: Data Management

Times: 5:30PM-9:00PM

Location: Live Online Campus Map

Contact Hours: 14.0

register / login

Course Code: BIGDATA-102-21

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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