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Victoria Clark
Python has built-in capabilities that help you easily clean string data. This course will teach you what those capabilities are and how to use them.
An essential part of creating critical-decision-making applications is the ability to process quality data to analyze expected outcomes in the best possible way. Python comes with great built-in capabilities to clean string data.
In this course, Cleaning String Data in Python, you will learn how to use various built-in Python capabilities to clean string data.
Read more
Python has built-in capabilities that help you easily clean string data. This course will teach you what those capabilities are and how to use them.
An essential part of creating critical-decision-making applications is the ability to process quality data to analyze expected outcomes in the best possible way. Python comes with great built-in capabilities to clean string data.
In this course, Cleaning String Data in Python, you will learn how to use various built-in Python capabilities to clean string data.
Read more
Python has built-in capabilities that help you easily clean string data. This course will teach you what those capabilities are and how to use them.
An essential part of creating critical-decision-making applications is the ability to process quality data to analyze expected outcomes in the best possible way. Python comes with great built-in capabilities to clean string data.
In this course, Cleaning String Data in Python, you will learn how to use various built-in Python capabilities to clean string data.
First, you’ll learn how to clear out unwanted characters from strings by using vectorized string operations in Python.
Next, you’ll learn how to use various Python capabilities to remove line breaks, remove stop words, remove numbers, and remove unwanted characters from a string using regular expressions.
Finally, you’ll learn how to work with unstructured string data to extract relevant information from it and make it useful.
When you are finished with this course, you’ll have the skills and knowledge necessary for cleaning string data using Python’s capabilities and features.
Register for this course and see more details by visiting:
OpenCourser.com/course/0fm86b/cleaning
What's inside
Syllabus
Course Overview
Getting Started with String Cleaning Ops
Advanced String Cleaning Ops
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores built-in Python capabilities for string data cleaning, which is crucial for data processing in applications
Builds a strong foundation for beginners in string data cleaning using Python
Develops core skills essential for critical-decision-making applications
Save this course
Save Cleaning String Data in Python to your list so you can find it easily later:
Save
Save
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 Cleaning String Data in Python with these
activities:
Organize your course materials
Show steps
Organizing your course materials will make it easier to review and reinforce what you learn.
Show steps
-
Create a dedicated folder for your course materials.
-
Save all of your class notes, assignments, and quizzes in the folder.
-
Review your materials regularly to reinforce your learning.
Follow Python string cleaning tutorials
Show steps
There are numerous tutorials available online that can guide you through the process of cleaning strings in Python. Working through a few of these tutorials before the course starts will give you a head start.
Show steps
-
Search for beginner-friendly Python string cleaning tutorials.
-
Choose a tutorial that covers the basics of string cleaning, such as removing whitespace, punctuation, and special characters.
-
Follow the steps in the tutorial to clean a sample string.
Review regular expressions in Python
Show steps
Regular expressions are a powerful tool for string cleaning. Reviewing regular expressions before taking this course will prepare you for working with them in Python.
Browse courses on
Regular Expressions
Show steps
-
Identify the key concepts of regular expressions, such as patterns, matches, and metacharacters.
-
Practice writing simple regular expressions to match specific patterns in strings.
-
Test your understanding by solving regular expression challenges online or in a book.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice using Python string cleaning functions
Show steps
Python provides a number of built-in functions for cleaning strings. Practicing using these functions will help you become more proficient in string cleaning.
Show steps
-
Review the documentation for the Python string cleaning functions.
-
Write a program that uses the string cleaning functions to clean a sample string.
-
Experiment with different combinations of functions to achieve the desired cleaning results.
Complete Python string cleaning exercises
Show steps
Practice is essential for mastering string cleaning in Python. There are many online exercises and coding challenges that can help you improve your skills.
Show steps
-
Find online exercises or coding challenges that focus on string cleaning in Python.
-
Attempt to solve the exercises on your own.
-
Review the solutions to the exercises to identify areas where you can improve.
Help other students with string cleaning in Python
Show steps
Mentoring others can help you reinforce your understanding of string cleaning in Python.
Show steps
-
Join a programming community or forum.
-
Answer questions related to string cleaning in Python.
-
Provide guidance and support to other learners.
Build a Python script to clean a large dataset
Show steps
Working on a project that involves cleaning a large dataset will give you valuable hands-on experience and help you apply the skills you learn in this course.
Show steps
-
Find a large dataset that contains dirty strings.
-
Write a Python script to clean the dataset using the techniques you learn in this course.
-
Test your script on a sample of the dataset.
-
Refine your script until it can effectively clean the entire dataset.
Organize your course materials
Show steps
Organizing your course materials will make it easier to review and reinforce what you learn.
Show steps
Show steps
Show steps
- Create a dedicated folder for your course materials.
- Save all of your class notes, assignments, and quizzes in the folder.
- Review your materials regularly to reinforce your learning.
Follow Python string cleaning tutorials
Show steps
There are numerous tutorials available online that can guide you through the process of cleaning strings in Python. Working through a few of these tutorials before the course starts will give you a head start.
Show steps
Show steps
Show steps
- Search for beginner-friendly Python string cleaning tutorials.
- Choose a tutorial that covers the basics of string cleaning, such as removing whitespace, punctuation, and special characters.
- Follow the steps in the tutorial to clean a sample string.
Review regular expressions in Python
Show steps
Regular expressions are a powerful tool for string cleaning. Reviewing regular expressions before taking this course will prepare you for working with them in Python.
Browse courses on
Regular Expressions
Show steps
Show steps
Show steps
- Identify the key concepts of regular expressions, such as patterns, matches, and metacharacters.
- Practice writing simple regular expressions to match specific patterns in strings.
- Test your understanding by solving regular expression challenges online or in a book.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice using Python string cleaning functions
Show steps
Python provides a number of built-in functions for cleaning strings. Practicing using these functions will help you become more proficient in string cleaning.
Show steps
Show steps
Show steps
- Review the documentation for the Python string cleaning functions.
- Write a program that uses the string cleaning functions to clean a sample string.
- Experiment with different combinations of functions to achieve the desired cleaning results.
Complete Python string cleaning exercises
Show steps
Practice is essential for mastering string cleaning in Python. There are many online exercises and coding challenges that can help you improve your skills.
Show steps
Show steps
Show steps
- Find online exercises or coding challenges that focus on string cleaning in Python.
- Attempt to solve the exercises on your own.
- Review the solutions to the exercises to identify areas where you can improve.
Help other students with string cleaning in Python
Show steps
Mentoring others can help you reinforce your understanding of string cleaning in Python.
Show steps
Show steps
Show steps
- Join a programming community or forum.
- Answer questions related to string cleaning in Python.
- Provide guidance and support to other learners.
Build a Python script to clean a large dataset
Show steps
Working on a project that involves cleaning a large dataset will give you valuable hands-on experience and help you apply the skills you learn in this course.
Show steps
Show steps
Show steps
- Find a large dataset that contains dirty strings.
- Write a Python script to clean the dataset using the techniques you learn in this course.
- Test your script on a sample of the dataset.
- Refine your script until it can effectively clean the entire dataset.
Career center
Learners who complete Cleaning String Data in Python will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
As a Data Scientist, you will use your knowledge of Python to clean and analyze data to help businesses make informed decisions. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you will use your knowledge of Python to develop machine learning models. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Machine Learning Engineer.
Data Engineer
Data Engineer
As a Data Engineer, you will use your knowledge of Python to build and maintain data pipelines. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Data Engineer.
Software Engineer
Software Engineer
As a Software Engineer, you will use your knowledge of Python to develop software applications. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Software Engineer.
Data Analyst
Data Analyst
As a Data Analyst, you will use your knowledge of Python to analyze data to help businesses make informed decisions. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Data Analyst.
Web Developer
Web Developer
As a Web Developer, you will use your knowledge of Python to develop websites and web applications. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Web Developer.
Database Administrator
Database Administrator
As a Database Administrator, you will use your knowledge of Python to manage and maintain databases. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Database Administrator.
Business Analyst
Business Analyst
As a Business Analyst, you will use your knowledge of Python to analyze data to help businesses make informed decisions. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Business Analyst.
Network Engineer
Network Engineer
As a Network Engineer, you will use your knowledge of Python to design and maintain computer networks. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Network Engineer.
IT Auditor
IT Auditor
As an IT Auditor, you will use your knowledge of Python to audit computer systems for security vulnerabilities. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any IT Auditor.
Information Security Analyst
Information Security Analyst
As an Information Security Analyst, you will use your knowledge of Python to protect computer systems from cyberattacks. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Information Security Analyst.
Technical Writer
Technical Writer
As a Technical Writer, you will use your knowledge of Python to write technical documentation. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Technical Writer.
Project Manager
Project Manager
As a Project Manager, you will use your knowledge of Python to manage and track projects. This course will teach you how to use Python's built-in capabilities to clean string data, which is an essential skill for any Project Manager.
For more career information including salaries, visit:
OpenCourser.com/course/0fm86b/cleaning
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
Cleaning String Data in Python.
Provides a comprehensive overview of natural language processing (NLP) techniques, with a focus on Python implementations. It covers topics such as text preprocessing, feature engineering, and machine learning for NLP tasks, and it includes numerous examples and exercises to help readers learn the material.
Provides a hands-on introduction to data science, using Python as the primary programming language. It covers topics such as data cleaning, data analysis, and machine learning, and it includes numerous examples and exercises to help readers learn the material.
Provides a comprehensive overview of the Python programming language, with a focus on data analysis applications. It covers topics such as data manipulation, data analysis, and data visualization, and it includes numerous examples and exercises to help readers learn the material.
Provides a comprehensive overview of machine learning techniques, with a focus on Python implementations. It covers topics such as supervised learning, unsupervised learning, and deep learning, and it includes numerous examples and exercises to help readers learn the material.
Provides a practical introduction to the use of Python for financial applications. It covers topics such as data analysis, financial modeling, and risk management, and it includes numerous examples and exercises to help readers learn the material.
Provides a comprehensive overview of the Python programming language, with a focus on data science applications. It covers topics such as data manipulation, data analysis, and machine learning, and it includes numerous examples and exercises to help readers learn the material.
Provides a practical introduction to deep learning techniques, with a focus on Python implementations. It covers topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks, and it includes numerous examples and exercises to help readers learn the material.
Provides a comprehensive overview of reinforcement learning techniques, with a focus on Python implementations. It covers topics such as Markov decision processes, value iteration, and policy gradient methods, and it includes numerous examples and exercises to help readers learn the material.
Provides a comprehensive overview of the Natural Language Toolkit (NLTK), a Python library for natural language processing. It covers topics such as text preprocessing, feature engineering, and machine learning for NLP tasks, and it includes numerous examples and exercises to help readers learn the material.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0fm86b/cleaning
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Time
50 hours
Level
Intermediate
Via
Pluralsight
Instructor
Victoria Clark
Language
English
Good to know
Explores built-in Python capabilities for string data cleaning, which is crucial for data processing in applications
Builds a strong foundation for beginners in string data cleaning using Python
Develops core skills essential for critical-decision-making applications
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