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Use Python for Non-Data Role

Even if you are not a person with a data specific role, knowing how to work with data is becoming a highly in-demand skill. More and more companies are collecting data, storing data, and making data-based decisions. From marketing to human resources, to finance and operations, knowing the basics of how to use a data language such as Python will make you even more desirable, valuable, and useful to your company. In this project, learners will learn how to get started with Python. They will learn how to upload Excel sets into Python; how to create lists, dictionaries, and tables; and even how to create Gantt charts with Python. This will arm people in all kinds of roles to use Python to perform data tasks.

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Syllabus

Use Python for Non-Data Roles

Even if you are not a person with a data-specific role, knowing how to work with data is becoming a highly in-demand skill. More and more companies are collecting data, storing data, and making data-based decisions. From marketing to human resources, to finance and operations, knowing the basics of how to use a data language such as Python will make you even more desirable, valuable, and useful to your company. In this project, learners will learn how to get started with Python. They will learn how to upload Excel sets into Python; how to create lists, dictionaries, and tables; and even how to send emails from Python. This will arm people in all kinds of roles to use Python to perform data tasks.

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Explores the increasingly high demand for data skills in various non-data roles, enhancing learner employability

Offers a beginner-friendly introduction to Python for non-data experts, empowering them to use data in their respective roles

Provides practical knowledge of Python for data-related tasks, making learners more valuable to their employers

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Use Python for Non-Data Role with these activities:

Write a Python script to automate a task

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Working on a project will allow you to apply your Python skills to solve a real-world problem and deepen your understanding of the language.

Browse courses on Python Scripting

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Identify a task that you can automate using Python
Design and write a Python script to perform the task
Test and debug your script to ensure it works correctly
Share your script with others or use it to improve your own productivity

Build a Python portfolio

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Creating a portfolio will showcase your Python skills and provide tangible evidence of your learning to potential employers or clients.

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Select your best Python projects to include in your portfolio
Create a website or online platform to display your portfolio
Write detailed descriptions of each project, highlighting your skills and accomplishments
Share your portfolio with others and seek feedback to improve it

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Career center

Learners who complete Use Python for Non-Data Role will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers use data to build and deploy machine learning models.

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Data Scientist

Data Scientists use data to solve complex problems and develop new products and services.

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Data Engineer

Data Engineers use data to build and maintain data pipelines.

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Operations Analyst

Operations Analysts use data to improve the efficiency of business processes. They may work in a variety of industries, but they all share a common goal of using data to make businesses run more smoothly. This course can help you develop the skills you need to become an Operations Analyst by teaching you how to work with data, create visualizations, and build models.

See salaries and explore the career path for Operations Analyst

Financial Analyst

Financial Analysts use data to make informed investment decisions. They may work for investment firms, banks, or other financial institutions. This course can help you develop the skills you need to become a Financial Analyst by teaching you how to work with data, create visualizations, and build models.

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Database Administrator

Database Administrators use data to maintain and optimize databases.

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IT Analyst

IT Analysts use data to solve problems and improve the efficiency of IT systems.

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Human Resources Analyst

Human Resources Analysts use data to improve the efficiency of human resources processes. They may work for a variety of companies, but they all share a common goal of using data to make HR processes more efficient.

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Marketing Analyst

Marketing Analysts use data to understand customer behavior and develop marketing campaigns. They may work for a variety of companies, but they all share a common goal of using data to improve marketing outcomes. This course can help you develop the skills you need to become a Marketing Analyst by teaching you how to work with data, create visualizations, and build models.

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Compliance Analyst

Compliance Analysts use data to ensure that companies are complying with all applicable laws and regulations.

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Supply Chain Analyst

Supply Chain Analysts use data to improve the efficiency of supply chains. They may work for a variety of companies, but they all share a common goal of using data to make supply chains more efficient.

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Data Analyst

Data Analysts use data to solve problems and make informed decisions. They may work in a variety of industries, but they all share a common goal of using data to improve outcomes. This course can help you develop the skills you need to become a Data Analyst by teaching you how to work with data, create visualizations, and build models.

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Risk Analyst

Risk Analysts use data to identify and mitigate risks. They may work for a variety of companies, but they all share a common goal of using data to reduce risk.

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Software Engineer

Software Engineers use data to build and maintain software.

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Web Developer

Web Developers use data to build and maintain websites.

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Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Use Python for Non-Data Role.

Python Crash Course, 2nd Edition

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Provides a comprehensive introduction to Python programming, covering the basics of data types, control flow, functions, and object-oriented programming. It valuable resource for beginners who want to get started with Python quickly and effectively.

Use Python for Non-Data Role

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