Advanced Python for Data Analytics by PwC Academy

This course emphasizes using basic Python programming principles to solve practical challenges found in various organizations. Learners will manipulate files, handle and extract information, and connect Python with MySQL.

The application scenarios will focus on practical, real-world uses, such as overseeing data from bank systems and studying data from retail businesses. Learners will acquire important skills in information retrieval, data manipulation, and basic programming with Python.

By the end of the course, you will be able to:

Python is a widely used programming language for small- and large-scale projects. Python allows you to integrate web development with data analysis seamlessly. Python's wide adoption is due in part to its standard library, accessibility, and support for multiple paradigms, such as procedural, functional, and object-oriented programming styles. Python modules can interact with many databases, making it an excellent choice to learn data science and machine learning.

Python is widely used in many different sectors because of its flexibility, simplicity in learning, and robust community backing. It is commonly utilized in areas like data science and analytics. Major industries like banking, aerospace, insurance, health, Finance, and information technology are the most popular uses of Python programming tools.

The demand for Python developers will increase steadily with advancements in AI and machine learning by 2024. Undoubtedly, it offers the most promising career, and this demand for Python developers is growing every year. Being a Python Programmer has become one of the most lucrative career options, with ample opportunities in many high-profile companies such as Google and Facebook.

A Python Developer is responsible for designing, developing, and maintaining applications using Python, ensuring code quality through optimization, debugging, and testing.

A Data Analyst focuses on gathering, cleaning, and analyzing data to extract meaningful insights. They also create reports to communicate findings to stakeholders and provide data-driven recommendations to support business decisions. Both roles are essential for leveraging technology and data to drive efficiency and innovation within organizations.

This Advanced Python for Data Analytics by PwC Academy is specifically designed for:

Basic knowledge of Python programming is recommended but not mandatory.

The following specifications are the recommended system requirements for this Advanced Python for Data Analytics Course by PwC Academy :

These system requirements provide a suitable environment for completing the tasks and exercises outlined in the Advanced Python for Data Analytics Course by PwC Academy. Adjustments may be necessary based on specific preferences, additional software requirements, or constraints.

Detailed step-by-step installation guides are available on the LMS. If you have any doubts, the 24/7 support team will promptly assist you.