Python Programming for Business

During this module, you will gain an overview of the power of Python programming. A gentle, hands-on, introductory approach to programming fundamentals will jump-start your problem-solving mindset and ability to communicate with other technical and non-technical professionals.

During this module, you will teach a computer how to make decisions using selection control structures and repeat a set of instructions (or logic) using repetition control structures. With more hands-on programming experience, your problem-solving mindset will continue growing.

During this module, you will build functions to promote code reuse and work with several built-in Python data structures. Good programmers appreciate reusable code. Additionally, programmers rely on data structures, or containers, to store data. You will understand and be able to communicate the similarities and differences between Python’s built-in data structures.

During this module, you will analyze numerical data with NumPy, a popular Python library for numerical analysis. Whether it’s financial data, such as stock quotes, or multi-dimensional data, you will be able to perform basic processing and derive insights on large amounts of numerical data.

During this module, you will add to your analytical toolkit by analyzing mixed data containing numbers and strings with Pandas, another popular Python library. Whether it’s analyzing weekly sales data or gathering insights from product reviews, you will be able to perform basic processing and derive trends using data tables and data collected over time.

During this module, you will be exposed to practical considerations you will face when working with real data sets, enabling you to address inaccurate and missing data. This will facilitate further techniques, such as categorization, for determining business insights.