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Introduction to Python and Programming for Data Science and Machine Learning

Shalev NessAiver

A gentle beginner introduction to the world of programming, using the Python programming language.

No prior experience necessary.
Teaches the Python programming language.
Prepares you for data analysis and machine learning.
Introduces good coding principles and tips.
Where to go next, and how to keep learning.

A gentle beginner introduction to the world of programming, using the Python programming language.

No prior experience necessary.
Teaches the Python programming language.
Prepares you for data analysis and machine learning.
Introduces good coding principles and tips.
Where to go next, and how to keep learning.

What you'll learn

What "programming" actually is.
Programmer mental models.
Core elements of the Python programming language:
- Data Types
- Variables
- Control Flow (Ifs and Loops)
- Functions
- Packages and libraries
Core programmer tools:
- Jupyter notebooks
- Editor Features
- Syntax Highlighting
- Autocomplete
Where to go for help.
How to keep learning beyond this course.

This course is no longer available. Find a similar course by searching these:

introduction to programming learn python gentle intro to programming python programming beginner python basics shai shalev-arad

What's inside

Learning objectives

What "programming" actually is.
Core elements of the python programming language:
Data types
Variables
Control flow (ifs and loops)
Jupyter notebooks
Syntax highlighting
Autocomplete

Where to go for help.
How to keep learning beyond this course.
Programmer mental models.
Core programmer tools:
Editor features
Functions
Packages and libraries

What "programming" actually is.
Core elements of the python programming language:
Data types
Variables
Control flow (ifs and loops)
Jupyter notebooks
Syntax highlighting
Autocomplete
Where to go for help.
How to keep learning beyond this course.
Programmer mental models.
Core programmer tools:
Editor features
Functions
Packages and libraries

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Introduces core principles of programming, preparing learners for further exploration in data analysis and machine learning

Leverages Jupyter notebooks and editor features, providing a hands-on and interactive learning experience

Serves as a strong foundation for beginners in Python programming, covering core elements and concepts

Provides guidance on where to seek assistance and how to continue the learning journey beyond the course

Teaches Python, a widely used and versatile programming language, opening doors to various career paths

Accessible to learners with no prior coding experience, making it ideal for beginners

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Career center

Learners who complete Introduction to Python and Programming for Data Science and Machine Learning will develop knowledge and skills that may be useful to these careers:

Software Engineer

Software Engineers design, develop and maintain software systems. This course may be useful for a software engineer, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. This course may be a good stepping stone for someone looking to enter the field of software engineering, or a good primer for someone looking to advance their career in the field.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts collect and analyze data to help businesses make informed decisions. This course may be useful for a data analyst, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Data Analysts use these concepts to clean, organize, and analyze data.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. This course may be useful for a machine learning engineer, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Machine Learning Engineers use these concepts to build and maintain machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data to solve business problems. This course may be useful for a data scientist, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Data Scientists use these concepts to clean, organize, and analyze data, and use the results to solve business problems.

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Programmer Analyst

Programmer Analysts analyze and design computer systems. This course may be useful for a programmer analyst, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. This course may be a good stepping stone for someone looking to enter the field of computer programming, or a good primer for someone looking to advance their career in the field.

See salaries and explore the career path for Programmer Analyst

Business Analyst

Business Analysts help businesses improve their processes and performance. This course may be useful for a business analyst, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Business Analysts use these concepts to analyze data and identify inefficiencies and opportunities for improvement.

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Statistician

Statisticians collect and analyze data to help businesses and organizations make informed decisions. This course may be useful for a statistician, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Statisticians use these concepts to clean, organize, and analyze data, and use the results to make informed decisions.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to help businesses and organizations make better decisions. This course may be useful for an operations research analyst, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Operations Research Analysts use these concepts to develop and analyze models for decision making.

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Financial Analyst

Financial Analysts help businesses and individuals make informed financial decisions. This course may be useful for a financial analyst, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Financial Analysts use these concepts to analyze financial data and make recommendations.

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Market Research Analyst

Market Research Analysts study market trends and consumer behavior to help businesses make informed decisions. This course may be useful for a market research analyst, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Market Research Analysts use these concepts to collect and analyze data, and use the results to make recommendations.

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Auditor

Auditors examine financial records to ensure that they are accurate and compliant with regulations. This course may be useful for an auditor, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Auditors use these concepts to analyze financial data and identify any discrepancies.

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Actuary

Actuaries use mathematical and statistical techniques to assess risk. This course may be useful for an actuary, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Actuaries use these concepts to develop and analyze models for risk assessment.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze financial data. This course may be useful for a quantitative analyst, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Quantitative Analysts use these concepts to develop and analyze models for financial data analysis.

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Information Security Analyst

Information Security Analysts protect computer systems and networks from security threats. This course may be useful for an information security analyst, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Information Security Analysts use these concepts to develop and analyze models for security threat assessment.

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Computer Systems Analyst

Computer Systems Analysts design and implement computer systems. This course may be useful for a computer systems analyst, as it teaches the core elements of the Python programming language including data types, variables, control flow (ifs and loops), functions, and packages and libraries. Computer Systems Analysts use these concepts to design and implement computer systems.

See salaries and explore the career path for Computer Systems Analyst