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, MS, CFA

Jacob Fink, MS, CFA

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.

Date: 3 Tue: Nov 5, 12, & 19 and 3 Th: Nov. 7, 14, & 21, 2024

Delivery Method: Live Online

Time: 6-8:30pm CT

Platform: Zoom

Instructor: Jacob Fink MS, CFA

Fee:

$845 by Oct 22, 2024
$895 after Oct 22, 2024

CEUs: 1.4

Enrollment Limit: 20

Program Number: 5020-16288

Registration Deadline: Nov 4, 2024

Register Now

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

Register Now

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