DTBS 0010 - Python Next Level for Business
Course Description
Successful businesses and nonprofits need to draw insights from data to thrive. 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. 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.
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
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.
Prerequisites
Prior completion of Python for Data Analysis or equivalent experience is a prerequisite for this course.
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.
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, Spring 2024
"Great class, covers a lot in two days. Jacob is a very enthusiastic, good teacher who helps you if you have questions."
-Participant, Spring 2024
Instructors
Applies Towards the Following Credentials
- AI Python Certificate : Required
- Data Analysis Certificate : Elective
- Data Analysis – Advanced Certificate : Required
- Python Microcredential : Core