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Intro to Python

Python is one of the most popular and in-demand programming languages in the world — largely because of how readable and versatile it is. If you’re interested in learning Python, this free, introductory course will demonstrate how learning to code in Python could benefit your career. No previous programming experience is required.

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Python is one of the most popular and in-demand programming languages in the world — largely because of how readable and versatile it is. If you’re interested in learning Python, this free, introductory course will demonstrate how learning to code in Python could benefit your career. No previous programming experience is required.

From analyzing large datasets to building web applications, Python can be used for a variety of projects including:

- Writing scripts for automating tasks

-Web development

-Collecting data from websites (also known as “web scraping”)

-Scientific and numeric computing

-Data analysis

-Data visualization

-Machine learning

Python is also a useful skill applicable to roles across a wide range of industries, including:

-Energy

-Finance

-Healthcare

-Marketing

-IT

-Retail

This course is an introduction to our Boot Camps, which combine data analysis and machine learning to prepare learners for careers such as data analysts, financial analysts, data scientists, and more.

This Try It is offered in support of the Data Analytics Accelerated Training Program with the Tulsa Community College. If you enroll in this Try It, your learner data will not be shared with the Tulsa Community College unless you enroll in the Data Analytics Accelerated Training Program.

What's inside

Learning objectives

  • -what python is and where it’s used.
  • -functions, the bits of code that tell python what to do.
  • -how to create and name variables.
  • -how to build conditional logic to automate dual-alternative decision-making.
  • -how to use python for advanced decision making with nested if/else statements.
  • -how python interacts with a console.
  • -how to code simple programs and use conditional statements to automate decision-making.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
A natural fit for learners in roles ranging from energy to finance, retail, and marketing
Ideal for individuals looking to leverage Python for tasks such as data visualization, scientific computing, and web development
A stepping stone into boot camps for careers such as data analysts, financial analysts, and data scientists
Provides a hands-on introduction to writing Python scripts for automating tasks, analyzing data, and building web applications
Covers core skills in data analysis, machine learning, and data science, preparing learners for careers in these fields
Open to individuals of all programming experience levels, providing a well-rounded foundation for both beginners and experienced learners

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Activities

Coming soon We're preparing activities for Try It: Intro to Python. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Try It: Intro to Python will develop knowledge and skills that may be useful to these careers:
Web Developer
Web Developers use Python for server-side scripting and creating dynamic web pages. This course will provide you with the foundation you need to become a successful Web Developer, with a focus on the core concepts of Python and how they can be applied to web development. You will learn how to use Python to build web applications, automate tasks, and collect data from websites. This course will also introduce you to the basics of data analysis and machine learning, which are essential skills for a Web Developer in today's market.
Data Analyst
Data Analysts use Python for data cleaning, analysis, and visualization. This course will help you build a strong foundation in Python and introduce you to the core concepts of data analysis. You will learn how to use Python to collect data from a variety of sources, clean and prepare data for analysis, and visualize data to identify trends and patterns. This course will also introduce you to the basics of machine learning, which is an essential skill for a Data Analyst in today's market.
Data Scientist
Data Scientists use Python for machine learning, data mining, and predictive analytics. This course will help you build a strong foundation in Python and introduce you to the core concepts of machine learning. You will learn how to use Python to build machine learning models, evaluate model performance, and make predictions. This course will also introduce you to the basics of data analysis, which is an essential skill for a Data Scientist in today's market.
Machine Learning Engineer
Machine Learning Engineers use Python for building, deploying, and maintaining machine learning models. This course will help you build a strong foundation in Python and introduce you to the core concepts of machine learning. You will learn how to use Python to build machine learning models, evaluate model performance, and deploy models to production. This course will also introduce you to the basics of data analysis, which is an essential skill for a Machine Learning Engineer in today's market.
Software Engineer
Software Engineers use Python for a variety of tasks, including web development, data analysis, and machine learning. This course will help you build a strong foundation in Python and introduce you to the core concepts of software engineering. You will learn how to use Python to design, develop, and test software applications. This course will also introduce you to the basics of data analysis and machine learning, which are essential skills for a Software Engineer in today's market.
Business Analyst
Business Analysts use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of business analysis. You will learn how to use Python to analyze data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Business Analyst in today's market.
Financial Analyst
Financial Analysts use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of financial analysis. You will learn how to use Python to analyze financial data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Financial Analyst in today's market.
Data Engineer
Data Engineers use Python for data integration, transformation, and storage. This course will help you build a strong foundation in Python and introduce you to the core concepts of data engineering. You will learn how to use Python to extract data from a variety of sources, transform data into a usable format, and store data in a database. This course will also introduce you to the basics of data analysis, which is an essential skill for a Data Engineer in today's market.
Marketing Analyst
Marketing Analysts use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of marketing analysis. You will learn how to use Python to analyze marketing data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Marketing Analyst in today's market.
Operations Analyst
Operations Analysts use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of operations analysis. You will learn how to use Python to analyze operations data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for an Operations Analyst in today's market.
Risk Analyst
Risk Analysts use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of risk analysis. You will learn how to use Python to analyze risk data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Risk Analyst in today's market.
Consultant
Consultants use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of consulting. You will learn how to use Python to analyze data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Consultant in today's market.
Project Manager
Project Managers use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of project management. You will learn how to use Python to analyze project data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Project Manager in today's market.
Product Manager
Product Managers use Python for data analysis, modeling, and forecasting. This course will help you build a strong foundation in Python and introduce you to the core concepts of product management. You will learn how to use Python to analyze product data, build models, and make predictions. This course will also introduce you to the basics of data visualization, which is an essential skill for a Product Manager in today's market.
Technical Writer
Technical Writers use Python for writing documentation and tutorials. This course may be useful for those who want to become a Technical Writer, as it provides a foundation in Python and introduces the core concepts of technical writing. You will learn how to use Python to write clear and concise documentation, and how to use data visualization to illustrate technical concepts.

Reading list

We've selected nine 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 Try It: Intro to Python.
Popular introductory book for learning Python, and it great resource for beginners. It covers the basics of Python, including data types, variables, operators, and control flow. It also includes several projects that allow you to practice your skills.
Great resource for learning how to use Python to automate tasks. It covers a variety of topics, including web scraping, data analysis, and working with APIs. It great book for beginners who want to learn how to use Python for practical purposes.
Comprehensive guide to using Python for data analysis. It covers a variety of topics, including data cleaning, data manipulation, and data visualization. It great resource for anyone who wants to learn how to use Python for data analysis.
Comprehensive guide to using Python for deep learning. It covers a variety of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It great resource for anyone who wants to learn how to use Python for deep learning.
Comprehensive guide to using Python for finance. It covers a variety of topics, including data analysis, financial modeling, and risk management. It great resource for anyone who wants to learn how to use Python for finance.
Comprehensive introduction to computer science using Python. It covers a variety of topics, including data structures, algorithms, and object-oriented programming. It great resource for anyone who wants to learn the basics of computer science.
Comprehensive guide to algorithms using Python. It covers a variety of topics, including sorting algorithms, searching algorithms, and graph algorithms. It great resource for anyone who wants to learn how to use Python to solve problems.
Comprehensive guide to using Python for finance. It covers a variety of topics, including data analysis, financial modeling, and risk management. It great resource for anyone who wants to learn how to use Python for finance.

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