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Use Python for Non-Data Role
Carmen Rojas
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/m7gmib/use
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
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
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Use Python for Non-Data Role.
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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 Engineer
Machine Learning Engineers use data to build and deploy machine learning models.
Data Scientist
Data Scientist
Data Scientists use data to solve complex problems and develop new products and services.
Data Engineer
Data Engineer
Data Engineers use data to build and maintain data pipelines.
Operations Analyst
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 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 Administrator
Database Administrators use data to maintain and optimize databases.
IT Analyst
IT Analyst
IT Analysts use data to solve problems and improve the efficiency of IT systems.
Human Resources Analyst
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 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 Analyst
Compliance Analysts use data to ensure that companies are complying with all applicable laws and regulations.
Supply Chain Analyst
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 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 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 Engineer
Software Engineers use data to build and maintain software.
Web Developer
Web Developer
Web Developers use data to build and maintain websites.
For more career information including salaries, visit:
OpenCourser.com/course/m7gmib/use
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.
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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.
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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.
Save
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.
Save
Free online textbook that teaches the fundamentals of Python programming. It covers topics such as data types, control flow, and object-oriented programming. It good choice for learners who want a comprehensive and in-depth introduction to Python.
Save
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.
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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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/m7gmib/use
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Effort
1.5 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Carmen Rojas
Language
English
Good to know
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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