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Python Data Essentials

Python Introduction

Faisal Memon

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.

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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
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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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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.
Provides a practical introduction to Python data analysis, with a focus on using Pandas, NumPy, and IPython. It covers the basics of data manipulation, cleaning, and visualization.
Provides a comprehensive introduction to machine learning, with a focus on using Python libraries such as Scikit-Learn, Keras, and TensorFlow. It covers the basics of machine learning algorithms, data preparation, and model evaluation.
Provides a comprehensive introduction to deep learning, with a focus on using the Python library Keras. It covers the basics of deep learning models, training, and evaluation.
Provides a comprehensive introduction to Python programming, covering the basics of Python syntax, data structures, and programming concepts. It good choice for beginners who want to learn Python in a more structured way.
Provides a comprehensive reference for experienced Python programmers, covering the latest features of Python and its standard library. It good choice for programmers who need a quick and easy way to look up Python syntax and semantics.
Provides a collection of best practices for writing Python code, covering topics such as code readability, maintainability, and performance. It good choice for programmers who want to improve their Python coding skills.
Provides a collection of recipes for solving common Python programming problems, covering a wide range of topics such as data manipulation, web development, and scientific computing. It good choice for programmers who need help with specific Python tasks.
Provides a practical introduction to Python programming, with a focus on automating everyday tasks. It good choice for beginners who want to learn Python for practical purposes.
Provides a comprehensive introduction to Python programming, covering the basics of Python syntax and programming concepts. It good choice for beginners who want to learn Python in a more traditional way.
Provides the official documentation for the Python programming language, covering all aspects of Python syntax and semantics. It good choice for programmers who need a definitive reference for Python.
Provides a comprehensive introduction to Python 3, covering all aspects of Python 3 syntax and semantics. It good choice for programmers who need a definitive reference for Python 3.

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