Python Next Level for Business
Successful businesses and nonprofit organizations require deriving insights from data. How will you make that happen? By using Python for artificial intelligence, machine learning, predictive analytics and more.
Once you have gained the basics in Python for Data Analysis, advance your skills with Python Next Level for Business. Become familiar with Python’s open-source packages that let you create functional applications without having to know advanced programming concepts. Further, by incorporating business logic into your code, you can automate tedious tasks and reduce the risk of manual error.
This course involves lecture, demonstration, hands-on practice and instructor coaching.
This course can be applied to the following certificates:
AI Python Certificate
Data Analysis – Advanced Certificate
Data Analysis Certificate
Instructor
Jacob Fink is a data analyst at Geneva Capital Management. In this role, Jacob creates a variety of financial reports which give insights into the movements of style factors and provide transparency into the risk effects of proposed investment strategy ... read more
Who Should Attend
The target audience is analysts and others who are called upon to solve practical business problems by interpreting data, identifying trends and providing insights. Participants should have a basic understanding of the Python programming language.
Benefits and Learning Outcomes
- Understand the capabilities of Python for data visualization.
- Collect data for business needs or market research.
- Apply Python logic to business problems.
- Automate report creation for business consumers.
- Deepen understanding of the capabilities of the Python ecosystem.
- Extend your portfolio of practical projects which helps you save time and avoid errors in your daily work.
Course Outline/Topics
- Data Wrangling
- Preparing data using the Python Pandas package
- Dataframe structure and management
- Importing CSV, JSON, and Excel files
- Introduction to NumPy for data analysis
- Calculating summary statistics
- Using Requests and BeautifulSoup for web scraping
- Data Visualization
- Using the Seaborn package for data visualization
- Demonstrating different plot types
- Creating compelling custom graphs
- Automatically Creating Business Reports
- Designing a report that answers business questions
- Breaking down business needs into discrete units of work
- Creating executable code to solve and combine answers
- Automatically generating Excel reports using Python
- Advanced Techniques
- Demonstrating how to apply Object Oriented Programming for business needs
- Using built-in functions to navigate the computer’s file system
- Creating simple PDF documents using Python
- Exploring Basic Graphical User Interface (GUI) creation
Prerequisites
Prior completion of Python for Data Analysis or equivalent experience is a prerequisite for this course.
Testimonials
"Jacob is knowledgeable, enthusiastic, and makes an active effort to ensure each student is keeping up." — Participant, Spring 2024
"A great balance of breadth, to know we get at least an intro to all the things, and hands-on depth, to get real understanding. Jacob is great." — Participant, Sprint 2024
"Great class, covers a lot in 2 days. Jacob is a very enthusiastic, good teacher who helps you if you have questions." — Jose George, Stella and Chewy's, Spring 2024
Date: Thu-Fri, May 29-30, 2025
Delivery Method: In-person
Time: 8:30am-4:30pm CT
Location: UWM School of Continuing Education
Instructor: Jacob Fink MS, CFA
Fee:
$845 by May 15, 2025
$895 after May 15, 2025
CEUs: 1.4
Enrollment Limit: 20
Program Number: 5020-16287
Registration Deadline: May 28, 2025
