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Carmen Rojas

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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What's inside

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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
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
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
Show steps
  • 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
Creating a portfolio will showcase your Python skills and provide tangible evidence of your learning to potential employers or clients.
Show steps
  • 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
Show all two activities

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.
Data Scientist
Data Scientists use data to solve complex problems and develop new products and services.
Data Engineer
Data Engineers use data to build and maintain data pipelines.
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.
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.
Database Administrator
Database Administrators use data to maintain and optimize databases.
IT Analyst
IT Analysts use data to solve problems and improve the efficiency of IT systems.
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.
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.
Compliance Analyst
Compliance Analysts use data to ensure that companies are complying with all applicable laws and regulations.
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.
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.
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.
Software Engineer
Software Engineers use data to build and maintain software.
Web Developer
Web Developers use data to build and maintain websites.

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.
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.
Practical guide to using Python for automating everyday tasks. It covers topics such as web scraping, data analysis, and working with APIs. It great resource for learners who want to use Python for practical applications.
Comprehensive guide to using Python for data analysis. It covers topics such as data cleaning, data manipulation, and data visualization. It valuable resource for learners who want to use Python for data-related tasks.
Gentle introduction to Python programming. It covers the basics of Python syntax and data structures. It good choice for learners who have no prior programming experience.
Provides practical advice on how to write better Python code. It covers topics such as code readability, performance optimization, and error handling. It valuable resource for learners who want to improve their Python programming skills.
Visual and interactive introduction to Python programming. It uses a unique approach to teaching that emphasizes clarity and understanding. It good choice for learners who want to learn Python in a fun and engaging way.
Guide to writing clear, concise, and effective Python code. It covers topics such as code readability, performance optimization, and error handling. It valuable resource for learners who want to improve their Python programming skills.
Collection of recipes for solving common programming problems in Python. It covers a wide range of topics, from basic data manipulation to advanced web development. It valuable resource for learners who want to find quick and easy solutions to their Python programming problems.
Comprehensive reference guide to the Python programming language. It covers a wide range of topics, from basic syntax to advanced features. It valuable resource for learners who want to have a deep understanding of Python.
Comprehensive introduction to Python programming. It covers a wide range of topics, from basic syntax to advanced features. It good choice for learners who want a comprehensive and in-depth introduction to Python.

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