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Python Data Essentials

Python Introduction

Python is the most widely-used web programming language in the world. This course will teach you the basics of Python concepts that apply to Data Science. This includes concepts like IDE’s, data structures, expressions, operators.

Python is one of the most preferred languages when it comes to Data Science. In this course, Python Data Essentials, you will learn the skills you need to learn data science. First, you will learn about introduction to Python, where you will be introduced to Python programming. Next, you will explore what are expressions, different IDEs, and operators and how to use them. Finally, you will cover the basics of Python data structures. When you’re finished with this course, you will have an understanding of Python concepts that are needed for getting started with Data Science, this will give you the ability to use Python hands-on for learning data science.

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What's inside

Syllabus

Course Overview

Python and Data Science

Basics of Python

Python Packages and Data Structures

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by seasoned professionals who are experts in Data Science

Teaches skills relevant in academia and industry

Covers topics integral to Data Science, such as expressions, operators, and IDEs

Emphasis on hands-on learning through exercises and labs

Provides a comprehensive overview of Python essentials for beginners in Data Science

Includes interactive materials to enhance the learning experience

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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 Python Data Essentials: Python Introduction with these activities:

Read 'Python Data Science Handbook'

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Provides a comprehensive overview of Python's data science capabilities, complementing the course material.

View Python Data Science Handbook: Essential Tools... on Amazon

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Read and study the book, focusing on chapters relevant to the course topics.
Take notes and work through the examples provided in the book.

Python programming basics

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Refreshes knowledge of basic Python programming concepts, setting a solid foundation for learning advanced concepts.

Browse courses on Python Basics

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Review basic data types, variables, and operators.
Practice writing simple Python programs.

Participate in online discussion forums

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Engages with peers to exchange knowledge, gain different perspectives, and improve understanding of course concepts.

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Find online discussion forums related to Python and data science.
Participate in discussions, asking and answering questions.

Three other activities

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Follow tutorials on Python data structures

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Deepens understanding of how to use Python data structures effectively for data manipulation and analysis.

Browse courses on Lists

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Find tutorials on Python data structures from reputable sources.
Follow the tutorials, taking notes and practicing examples.

Build a Python project

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Applies acquired knowledge by building a Python project, fostering practical experience and solidifying understanding.

Browse courses on Data Science Project

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Identify a problem or dataset that you want to address.
Design and implement a Python solution to address the problem.

Mentor junior Python learners

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Strengthens understanding of Python concepts by teaching and supporting others, while fostering a sense of community.

Browse courses on Mentoring

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Identify opportunities to mentor junior Python learners, such as through online forums or local workshops.
Provide guidance, support, and resources to help mentees develop their Python skills.

Career center

Learners who complete Python Data Essentials: Python Introduction will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. They use their knowledge of mathematics, statistics, and computer science to develop models that can learn from data and make predictions. Python is a popular programming language for machine learning, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers design, build, and maintain data pipelines. They use their knowledge of data engineering to create pipelines that can collect, clean, and store data. Python is a popular programming language for data engineering, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Data Engineer.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists use their knowledge of mathematics, statistics, and computer science to extract insights from data. They develop models and algorithms that can be used to predict future trends and to make recommendations for businesses. Python is a popular programming language for data science, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

Quantitative Analysts use their knowledge of mathematics, statistics, and finance to develop financial models. They use these models to make predictions about future financial trends. Python is a popular programming language for quantitative finance, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data. They use their findings to identify trends and patterns, and to make recommendations for businesses. Python is a popular programming language for data analysis, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Statistician

Statisticians use their knowledge of statistics to collect, analyze, and interpret data. They use their findings to make recommendations for businesses and organizations. Python is a popular programming language for statistics, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Statistician.

See salaries and explore the career path for Statistician

Business Analyst

Business Analysts use their knowledge of business and technology to identify and solve business problems. They use their findings to make recommendations for businesses. Python is a popular programming language for business analysis, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Business Analyst.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use their knowledge of finance and economics to analyze financial data and make recommendations for businesses and investors. Python is a popular programming language for financial analysis, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Market Researcher

Market Researchers use their knowledge of marketing and research to collect, analyze, and interpret data. They use their findings to make recommendations for businesses and organizations. Python is a popular programming language for market research, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Market Researcher.

See salaries and explore the career path for Market Researcher

Data Journalist

Data Journalists use their knowledge of journalism and data science to communicate data-driven stories to the public. They use their skills to investigate and report on important issues. Python is a popular programming language for data journalism, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Data Journalist.

See salaries and explore the career path for Data Journalist

Academic Researcher

Academic Researchers use their knowledge of a particular field to conduct research and publish their findings. They use their skills to advance knowledge and understanding in their field. Python is a popular programming language for academic research, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as an Academic Researcher.

See salaries and explore the career path for Academic Researcher

Product Manager

Product Managers use their knowledge of business and technology to develop and launch new products. They use their skills to identify market opportunities and to create products that meet the needs of customers. Python is a popular programming language for product management, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Product Manager.

See salaries and explore the career path for Product Manager

Management Consultant

Management Consultants use their knowledge of business and management to help organizations improve their performance. They use their skills to identify problems and to develop solutions. Python is a popular programming language for management consulting, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Management Consultant.

See salaries and explore the career path for Management Consultant

Software Engineer

Software Engineers design, develop, and maintain software applications. They use their knowledge of computer science to create software that meets the needs of businesses and users. Python is a popular programming language for software development, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Software Engineer.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers design, develop, and maintain websites. They use their knowledge of web technologies to create websites that are both visually appealing and functional. Python is a popular programming language for web development, and this course will teach you the basics of Python concepts that apply to Data Science. This will help you build a foundation for a career as a Web Developer.

See salaries and explore the career path for Web Developer

Reading list

We've selected 15 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 Python Data Essentials: Python Introduction.

Python Crash Course, 2nd Edition

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Provides a comprehensive introduction to Python programming, covering the basics of Python concepts that apply to Data Science, including IDEs, data structures, expressions, and operators. It is written in a clear and concise style, with plenty of examples and exercises to help you learn.

Python Data Essentials

Python Introduction

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What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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