Course Overview:

This course provides a hands-on introduction to data analysis using Python, one of the most powerful and accessible programming languages for data science. You’ll learn the essential tools and techniques to analyze, manipulate, and visualize data, gaining practical experience with Python's most popular data analysis libraries like Pandas, NumPy, and Matplotlib.

What You'll Learn:

• Data Exploration and Cleaning: Learn how to import, inspect, and clean real-world datasets to prepare them for analysis.
• Data Manipulation with Pandas: Understand how to work with DataFrames, perform aggregations, filter and sort data, and handle missing values.
• Statistical Analysis: Get introduced to basic statistics, including measures of central tendency, correlation, and distributions.
• Data Visualization: Learn how to create impactful charts and graphs with Matplotlib and Seaborn, and how to interpret visual data.
• Working with Time Series Data: Analyze time-based data, including resampling and trend analysis.
• Introduction to Data Modeling: Explore basic methods for predicting trends and making simple forecasts.

Why Take This Course?

Data analysis skills are in high demand across industries. In this course, you'll gain practical knowledge of how to approach data-driven problems and make informed decisions based on data. By the end, you'll be equipped with the core tools to clean, analyze, and visualize data, making you ready to tackle real-world analytical challenges.

Course Overview:

This beginner-friendly course is designed to introduce students to the fundamental concepts of programming using Python, one of the most versatile and widely-used programming languages today. Whether you're new to coding or looking to expand your skill set, this course will guide you through the basics of Python, helping you develop a strong foundation for further programming studies.

What You'll Learn:

• Basic Syntax and Data Types: Understand variables, data types (strings, integers, floats), and how to write simple programs.
• Control Structures: Learn how to use loops, conditionals, and functions to control program flow.
• Lists, Dictionaries, and Sets: Explore core data structures for storing and manipulating collections of data.
• Error Handling: Introduction to debugging, exceptions, and common error types.
• Working with Files: Read from and write to files to manage data in real-world applications.
• Intro to Libraries: Discover Python’s built-in libraries and how to use them to simplify tasks.

Why Take This Course?

Python is known for its readability and ease of use, making it the perfect language for new programmers. By the end of this course, you’ll have the skills to write basic Python scripts, solve problems with code, and be prepared for more advanced programming topics.

Participant Outcomes: Innovation is the key to organisational sustainability and this program provides Not For Profit staff at all levels with tools and techniques to think more innovatively and become more creative problem solvers. Attending will assist in developing organisation’s that openly welcome, value and reward Innovation. The course will assist people to identify their own individual Social Entrepreneurial and Innovative DNA and how they can apply that more effectively within their own organisation.

Course Outline: Not for Profit organisations and staff who work for them are being increasingly asked to do more with less and become more independent. Additional to this is the request to funded organisations from the funding bodies to become more innovative. Building a work environment which encourages innovation is a necessity in today’s NFP workplace and this half-day workshop encourages staff at all levels to think more innovatively and become more creative problem solvers.

Key subjects covered:

• thinking innovatively
• overcoming barriers to innovation
• wanting to innovate – instilling the desire to assess and take risks

• welcoming diversity and new ideas
• innovative thinking tools and basics – we look at techniques to allow creative thinking and idea expression
• creating an environment where innovation thrives – identify your role in developing an innovative workplace
• embedding innovation in Organisational Culture – how organisations can reward and encourage innovation
• social innovation and social entrepreneurship – Identifying your own Social Innovation and Entrepreneurial DNA

Facilitator: Ivan Brown
Prior to consulting Ivan held Senior Leadership roles with The School for Social Entrepreneurs, Guardian Youth and Hills Community Care.
Ivan, who holds an MBA, has also recently conducted a major business review for TACSI (The Australian Centre for Social Innovation) and delivered key notes at several NFP Leadership Conferences on the need for Not For Profit organisations to innovate.

Cost: CHSP/CCSP Worker $160 / NRSDC Member $160 / All Others $175