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Joseph Santarcangelo
Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.
Read more
Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.
Read more
Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.
This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs.
You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python.
This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.
Register for this course and see more details by visiting:
OpenCourser.com/course/3rncuc/python
What's inside
Syllabus
Python Basics
This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings.
Read more
Syllabus
Python Basics
This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings.
Read more
Python Data Structures
This module begins a journey into Python data structures by explaining the use of lists and tuples and how they are able to store collections of data in a single variable. Next learn about dictionaries and how they function by storing data in pairs of keys and values, and end with Python sets to learn how this type of collection can appear in any order and will only contain unique elements.
Python Programming Fundamentals
This module discusses Python fundamentals and begins with the concepts of conditions and branching. Continue through the module and learn how to implement loops to iterate over sequences, create functions to perform a specific task, perform exception handling to catch errors, and how classes are needed to create objects.
Working with Data in Python
This module explains the basics of working with data in Python and begins the path with learning how to read and write files. Continue the module and uncover the best Python libraries that will aid in data manipulation and mathematical operations.
APIs and Data Collection
This module delves into the unique ways to collect data by the use of APIs and web scraping. It further explores data collection by explaining how to read and collect data when dealing with different file formats.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores Python basics and data types, a standard in programming and data science
Teaches data structures like lists, tuples, dictionaries, and sets, essential for data manipulation
Develops programming fundamentals like conditions, branching, loops, and exception handling, core skills for Python
Covers data manipulation and mathematical operations using Python libraries like Pandas, Numpy, and Beautiful Soup
Demonstrates data collection techniques through APIs and web scraping, relevant in web development and data analysis
Introduces Jupyter Notebooks for hands-on practice, strengthening Python application skills
Save this course
Save Python for Data Science, AI & Development to your list so you can find it easily later:
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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 for Data Science, AI & Development with these
activities:
Review Python syntax and data structures
Show steps
Revisit the basics of Python syntax and data structures to ensure a solid foundation before delving deeper into the course.
Browse courses on
Python Basics
Show steps
-
Review your previous Python notes or online resources.
-
Complete practice exercises or quizzes to test your understanding.
Read 'Automate the Boring Stuff with Python'
Show steps
Gain a comprehensive understanding of Python's capabilities and practical applications by reading this popular book.
View
Automate the Boring Stuff with Python, 3rd...
on Amazon
Show steps
-
Purchase or borrow the book 'Automate the Boring Stuff with Python'.
-
Read the book at a steady pace, completing one chapter per week.
-
Complete the practice exercises provided in each chapter to reinforce your understanding.
-
Apply what you learn by automating tasks in your personal or professional life.
Participate in a Python study group
Show steps
Join a study group to discuss Python concepts, share knowledge, and work through problems collaboratively.
Browse courses on
Python Basics
Show steps
-
Find a study group online or through your university or local community.
-
Attend the study group meetings regularly and actively participate in discussions.
-
Collaborate with other members on practice exercises or projects.
One other activity
Expand to see all activities and additional details
Show all four activities
Practice Python coding exercises
Show steps
Practice Python coding exercises to reinforce your understanding of the language's syntax and concepts.
Browse courses on
Python Basics
Show steps
-
Find online Python exercises or coding challenges.
-
Solve the exercises and check your solutions against the provided answers.
-
Repeat steps 1 and 2 with more challenging exercises.
Review Python syntax and data structures
Show steps
Revisit the basics of Python syntax and data structures to ensure a solid foundation before delving deeper into the course.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Review your previous Python notes or online resources.
- Complete practice exercises or quizzes to test your understanding.
Read 'Automate the Boring Stuff with Python'
Show steps
Gain a comprehensive understanding of Python's capabilities and practical applications by reading this popular book.
View
Automate the Boring Stuff with Python, 3rd...
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book 'Automate the Boring Stuff with Python'.
- Read the book at a steady pace, completing one chapter per week.
- Complete the practice exercises provided in each chapter to reinforce your understanding.
- Apply what you learn by automating tasks in your personal or professional life.
Participate in a Python study group
Show steps
Join a study group to discuss Python concepts, share knowledge, and work through problems collaboratively.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Find a study group online or through your university or local community.
- Attend the study group meetings regularly and actively participate in discussions.
- Collaborate with other members on practice exercises or projects.
One other activity
Expand to see all activities and additional details
Show all four activities
Practice Python coding exercises
Show steps
Practice Python coding exercises to reinforce your understanding of the language's syntax and concepts.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Find online Python exercises or coding challenges.
- Solve the exercises and check your solutions against the provided answers.
- Repeat steps 1 and 2 with more challenging exercises.
Career center
Learners who complete Python for Data Science, AI & Development will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs and develops machine learning models that can be used to solve a variety of problems, such as image recognition, natural language processing, and predictive analytics. This course on Python for Data Science, AI & Development can be a great way to get started in this field. The course covers the basics of Python and will also teach you how to use Python to work with data, build machine learning models and perform data analysis.
Data Analyst
Data Analyst
A Data Analyst uses advanced tools to clean, process and analyze data to extract meaningful insights that can help business leaders make better decisions. The mentioned course helps build a strong foundation when it comes to utilizing Python for Data Science, AI & Development. The course syllabus covers Python basics, Python Data Structures, Python Programming Fundamentals, Working with Data in Python and APIs and Data Collection.
Data Engineer
Data Engineer
A Data Engineer designs, develops, deploys, and maintains the infrastructure that is used to store, process, and analyze large sets of data. The course on Python for Data Science, AI & Development will act as a stepping stone for a Data Engineer as you will be able to learn the basics of Python, the different data types like integers, real numbers and strings and will also go over expressions in mathematical operations and many different ways to manipulate strings.
Data Visualization Specialist
Data Visualization Specialist
A Data Visualization Specialist is responsible for creating visual representations of data that can be used to communicate insights to stakeholders. This course can help Data Visualization Specialists to learn how to use Python to create charts, graphs, and other visual representations of data.
Statistician
Statistician
A Statistician is responsible for collecting, analyzing, and interpreting data. This course can help Statisticians to learn how to use Python to perform statistical analysis, create statistical models, and interpret results.
Software Engineer
Software Engineer
A Software Engineer mainly focuses on developing, installing and maintaining software systems. As this course also focuses on programming fundamentals, Python fundamentals, and Python programming fundamentals, this course can help lead to success in this career.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst is responsible for using mathematical and analytical techniques to solve problems in a variety of industries. This course can help Operations Research Analysts to learn how to use Python to build models, analyze data, and develop solutions.
Business Analyst
Business Analyst
A Business Analyst helps organizations to improve their performance by analyzing data and identifying opportunities for improvement. This course can help Business Analysts to build a strong foundation in Python, which can be used to automate tasks, analyze data, and develop data-driven solutions.
Risk Analyst
Risk Analyst
A Risk Analyst is responsible for identifying, assessing, and mitigating risks. This course can help Risk Analysts to learn how to use Python to analyze data, build models, and develop risk management strategies.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making recommendations to investors. This course can help Financial Analysts to learn how to use Python to analyze financial data, build models, and make investment recommendations.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. This course can help Product Managers to learn how to use Python to analyze data, build prototypes, and manage projects.
Consultant
Consultant
A Consultant provides advice and guidance to organizations on a variety of topics. This course can help Consultants to learn how to use Python to analyze data, solve problems, and develop solutions.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. This course can help Project Managers to learn how to use Python to manage projects, track progress, and communicate with stakeholders.
Web Developer
Web Developer
A Web Developer is responsible for designing, developing, and maintaining websites. This course can help Web Developers to learn how to use Python to build websites, create dynamic content, and interact with databases.
Data Scientist
Data Scientist
A Data Scientist mainly uses their knowledge of programming, statistics and data analysis to extract important insights from any unstructured data that a business may have. This course can help build a solid foundation of programming and data manipulation using Python. Python libraries like Pandas, Numpy & Beautiful Soup are also used for this course which is also used by Data Scientists.
For more career information including salaries, visit:
OpenCourser.com/course/3rncuc/python
Featured in The Course Notes
This course is mentioned in our blog,
The Course Notes. Read
one article that features
Python for Data Science, AI & Development:
To read more articles from OpenCourser, visit:
OpenCourser.com/notes
Reading list
We've selected 24 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 for Data Science, AI & Development.
Dives into machine learning algorithms and techniques, implemented in Python, which is essential for data science and AI.
Covers the fundamentals of data science, including data cleaning, feature engineering, and modeling, using Python.
Must-have for anyone who wants to delve deeper into the world of Python programming.
Delves into the fundamentals of machine learning and its practical applications using Python.
Serves as a comprehensive reference for data science techniques and tools using Python.
Delves deeper into Python's data analysis capabilities, covering topics like data cleaning, wrangling, and visualization.
Provides a hands-on approach to machine learning with Python, covering various algorithms and techniques.
Provides a hands-on approach to deep learning using the popular Keras library in Python.
Save
Provides a deep dive into Python's advanced features and best practices.
Save
Provides a comprehensive exploration of Python's standard library, highlighting its various modules and their applications.
Provides a comprehensive overview of natural language processing techniques using Python.
Save
Provides a solid foundation in software design principles using Python, which is applicable to data science and AI projects.
Serves as a comprehensive guide to utilizing Python for data analysis, focusing on the popular Pandas library.
Save
Offers practical advice and best practices for writing efficient and idiomatic Python code.
Explores the principles and techniques of interpretable machine learning, which is becoming increasingly important in the field.
Offers a comprehensive overview of Python's object-oriented programming capabilities.
Save
Provides an engaging and in-depth look at Python's core concepts.
Provides a comprehensive overview of natural language processing using Python's Natural Language Toolkit.
Offers a gentle introduction to machine learning concepts and their implementation using Python.
Save
Covers techniques for web scraping and data extraction using the Beautiful Soup library in Python.
Teaches you how to automate tasks using Python, which is valuable knowledge for data science and development.
Offers a practical approach to learning Python by automating everyday tasks.
Save
Serves as a concise and handy reference for Python's syntax, functions, and modules.
Save
Offers a beginner-friendly introduction to Python's core concepts and syntax.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3rncuc/python
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Effort
5 weeks of study, 3-6 hours per week
Level
Introductory
Via
Coursera
Institution
IBM
Instructor
Joseph Santarcangelo
Language
English
Transcripts
Español
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Good to know
Explores Python basics and data types, a standard in programming and data science
Teaches data structures like lists, tuples, dictionaries, and sets, essential for data manipulation
Develops programming fundamentals like conditions, branching, loops, and exception handling, core skills for Python
Covers data manipulation and mathematical operations using Python libraries like Pandas, Numpy, and Beautiful Soup
Demonstrates data collection techniques through APIs and web scraping, relevant in web development and data analysis
Introduces Jupyter Notebooks for hands-on practice, strengthening Python application skills
Featured in The Course Notes
Read
one article that features
this course,
Python for Data Science, AI & Development
from our blog, The Course Notes:
To read more articles from OpenCourser, visit:
OpenCourser.com/notes
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