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Pratheerth Padman
In this course, Data Wrangling with Python 3, you'll learn about various functions and procedures that will help you get your data in order, providing a clean and well-constructed dataset for further data analysis and machine learning.
Read more
In this course, Data Wrangling with Python 3, you'll learn about various functions and procedures that will help you get your data in order, providing a clean and well-constructed dataset for further data analysis and machine learning.
Read more
In this course, Data Wrangling with Python 3, you'll learn about various functions and procedures that will help you get your data in order, providing a clean and well-constructed dataset for further data analysis and machine learning.
Machine Learning and Data analytics in general follows the garbage-in/garbage-out principle. If you want to learn from or predict based on your data, you need to make sure that data is well constructed and cleaned. This course, Data Wrangling with Python 3, is aimed at helping you do exactly that. First, you’ll see how to merge data from different sources using the methods concat, append, and merge. Next, you’ll discover how to combine data into groups. The primary function used here is groupby. In the next two sections, you’ll explore how to transform and normalize data. You’ll learn why these processes are necessary, and then proceed to see how they work in practice. Finally, you’ll examine important processes such as One Hot Encoding, which enables further processing during data analysis. When you’re finished with this course, you’ll have thorough knowledge of data wrangling which will help you immensely during your data analysis and machine learning projects.
Register for this course and see more details by visiting:
OpenCourser.com/course/hyumbf/data
What's inside
Syllabus
Course Overview
Concatenating and Merging Data from Different Sources
Combining Data into Groups
Normalizing Data with Pandas
Read more
Syllabus
Course Overview
Concatenating and Merging Data from Different Sources
Combining Data into Groups
Normalizing Data with Pandas
Read more
Reshaping Data with Python
Data Encoding with Python
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Guides students in cleaning and structuring data for further analysis, a crucial step in machine learning and data analytics
Taught by Pratheerth Padman, an experienced instructor who specializes in data wrangling and related topics
Save this course
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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 Data Wrangling with Python 3 with these
activities:
Review SQL
Show steps
Ensure a renewed familiarity with fundamental SQL syntax and concepts to enhance comprehension of data wrangling techniques and operations.
Show steps
-
Revisit basic SQL commands
-
Practice writing SQL queries
Review Python basics
Show steps
Ensure you have a solid foundation in Python before starting the course.
Browse courses on
Python
Show steps
-
Go over Python syntax and data types
-
Practice writing simple Python programs
Hands-on Data Wrangling Exercises
Show steps
Reinforce data wrangling skills through practical exercises, solidifying techniques covered in the course.
Browse courses on
Data Manipulation
Show steps
-
Load and explore real-world datasets
-
Apply data wrangling techniques to clean and normalize data
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Work through Pandas exercises
Show steps
Sharpen your data wrangling skills by working through these exercises.
Browse courses on
Data Wrangling
Show steps
-
Review the data you'll be working with
-
Perform basic data cleaning and manipulation tasks
Follow tutorials on advanced data manipulation techniques
Show steps
Expand your knowledge of Python libraries and techniques for data wrangling.
Browse courses on
Data Manipulation
Show steps
-
Identify areas where you need to improve your skills
-
Find tutorials that cover these topics
-
Follow the tutorials and practice the techniques
Solve LeetCode problems on data structures
Show steps
Strengthen your data structures and algorithm skills, which are essential for data wrangling.
Browse courses on
Data Structures
Show steps
-
Review common data structures and algorithms
-
Attempt LeetCode problems of varying difficulty
Explore Advanced Data Wrangling Techniques
Show steps
Expand knowledge beyond the course by exploring additional data wrangling techniques and algorithms through guided tutorials.
Browse courses on
Data Profiling
Show steps
-
Identify suitable tutorials
-
Follow tutorials and implement techniques
Connect with experts in the field
Show steps
Gain valuable insights and guidance from professionals with experience in data wrangling and analysis.
Show steps
Write a blog post on data cleaning best practices
Show steps
Share your knowledge and reinforce your understanding by creating a resource that benefits others.
Show steps
-
Research and gather information on data cleaning best practices
-
Organize your thoughts and outline the blog post
-
Write and edit the blog post
Data Cleaning Project
Show steps
Apply data wrangling skills to a real-world dataset, improving its quality and preparing it for analysis or modeling.
Show steps
-
Acquire a suitable dataset
-
Apply data cleaning techniques
-
Evaluate data quality before and after cleaning
Build a data visualization dashboard
Show steps
Showcase your data wrangling skills by creating an interactive dashboard that presents insights from your data.
Show steps
-
Gather and clean the data
-
Choose appropriate visualization techniques
-
Build the dashboard using a visualization library
Review SQL
Show steps
Ensure a renewed familiarity with fundamental SQL syntax and concepts to enhance comprehension of data wrangling techniques and operations.
Show steps
Show steps
Show steps
- Revisit basic SQL commands
- Practice writing SQL queries
Review Python basics
Show steps
Ensure you have a solid foundation in Python before starting the course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Go over Python syntax and data types
- Practice writing simple Python programs
Hands-on Data Wrangling Exercises
Show steps
Reinforce data wrangling skills through practical exercises, solidifying techniques covered in the course.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Load and explore real-world datasets
- Apply data wrangling techniques to clean and normalize data
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Work through Pandas exercises
Show steps
Sharpen your data wrangling skills by working through these exercises.
Browse courses on
Data Wrangling
Show steps
Show steps
Show steps
- Review the data you'll be working with
- Perform basic data cleaning and manipulation tasks
Follow tutorials on advanced data manipulation techniques
Show steps
Expand your knowledge of Python libraries and techniques for data wrangling.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Identify areas where you need to improve your skills
- Find tutorials that cover these topics
- Follow the tutorials and practice the techniques
Solve LeetCode problems on data structures
Show steps
Strengthen your data structures and algorithm skills, which are essential for data wrangling.
Browse courses on
Data Structures
Show steps
Show steps
Show steps
- Review common data structures and algorithms
- Attempt LeetCode problems of varying difficulty
Explore Advanced Data Wrangling Techniques
Show steps
Expand knowledge beyond the course by exploring additional data wrangling techniques and algorithms through guided tutorials.
Browse courses on
Data Profiling
Show steps
Show steps
Show steps
- Identify suitable tutorials
- Follow tutorials and implement techniques
Connect with experts in the field
Show steps
Gain valuable insights and guidance from professionals with experience in data wrangling and analysis.
Show steps
Show steps
Show steps
Write a blog post on data cleaning best practices
Show steps
Share your knowledge and reinforce your understanding by creating a resource that benefits others.
Show steps
Show steps
Show steps
- Research and gather information on data cleaning best practices
- Organize your thoughts and outline the blog post
- Write and edit the blog post
Data Cleaning Project
Show steps
Apply data wrangling skills to a real-world dataset, improving its quality and preparing it for analysis or modeling.
Show steps
Show steps
Show steps
- Acquire a suitable dataset
- Apply data cleaning techniques
- Evaluate data quality before and after cleaning
Build a data visualization dashboard
Show steps
Showcase your data wrangling skills by creating an interactive dashboard that presents insights from your data.
Show steps
Show steps
Show steps
- Gather and clean the data
- Choose appropriate visualization techniques
- Build the dashboard using a visualization library
Career center
Learners who complete Data Wrangling with Python 3 will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models to solve real-world problems. The course Data Wrangling with Python 3 can help Machine Learning Engineers develop the skills they need to effectively prepare and clean data for machine learning, ensuring that their models are trained on high-quality data.
Data Engineer
Data Engineer
Data Engineers design, develop, and maintain data pipelines and infrastructure to support data analysis and machine learning. The course Data Wrangling with Python 3 can help Data Engineers develop the skills they need to effectively clean, transform, and normalize data, ensuring that data is ready for analysis and modeling.
Data Analyst
Data Analyst
Data Analysts collect and interpret data to help organizations make informed decisions. They use their skills in data wrangling, analysis, and visualization to identify trends, patterns, and insights in data. The course Data Wrangling with Python 3 can help Data Analysts develop the skills they need to effectively clean, transform, and analyze data, enabling them to make more accurate and reliable conclusions.
Data Scientist
Data Scientist
Data Scientists use their expertise in data wrangling, analysis, and machine learning to solve business problems and gain insights from data. The course Data Wrangling with Python 3 can help Data Scientists build a strong foundation in data wrangling techniques, enabling them to prepare and clean data effectively for further analysis and modeling.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts use their skills in data wrangling, visualization, and communication to create visual representations of data that help stakeholders understand and make decisions. The course Data Wrangling with Python 3 can help Data Visualization Analysts develop the skills they need to effectively clean, transform, and prepare data for visualization, ensuring that their visualizations are accurate and informative.
Business Analyst
Business Analyst
Business Analysts use data to help organizations make better decisions. They use their skills in data analysis, visualization, and communication to identify opportunities, solve problems, and improve performance. The course Data Wrangling with Python 3 can help Business Analysts develop the skills they need to effectively clean, transform, and analyze data, enabling them to make more informed and data-driven recommendations.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data to help organizations make informed decisions. They use their skills in data wrangling, analysis, and visualization to identify trends, patterns, and insights in data. The course Data Wrangling with Python 3 can help Statisticians develop the skills they need to effectively clean, transform, and analyze data, enabling them to make more accurate and reliable conclusions.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their skills in data analysis, modeling, and optimization to improve the efficiency and effectiveness of business operations. The course Data Wrangling with Python 3 can help Operations Research Analysts develop the skills they need to effectively clean, transform, and analyze data, enabling them to make more informed and data-driven recommendations.
Market Researcher
Market Researcher
Market Researchers use their skills in data collection, analysis, and interpretation to understand consumer behavior and market trends. The course Data Wrangling with Python 3 can help Market Researchers develop the skills they need to effectively clean, transform, and analyze market data, enabling them to make more informed and data-driven decisions.
Financial Analyst
Financial Analyst
Financial Analysts use their skills in data analysis and modeling to evaluate investments, make recommendations, and manage risk. The course Data Wrangling with Python 3 can help Financial Analysts develop the skills they need to effectively clean, transform, and analyze financial data, enabling them to make more informed and data-driven decisions.
Risk Analyst
Risk Analyst
Risk Analysts use their skills in data analysis and modeling to identify, assess, and mitigate risks. The course Data Wrangling with Python 3 can help Risk Analysts develop the skills they need to effectively clean, transform, and analyze risk data, enabling them to make more informed and data-driven decisions.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. While not directly related to data wrangling, the course Data Wrangling with Python 3 may be useful for Software Engineers who work with data-intensive applications or who need to develop data processing pipelines.
Web Developer
Web Developer
Web Developers design, develop, and maintain websites and web applications. While not directly related to data wrangling, the course Data Wrangling with Python 3 may be useful for Web Developers who work with data-driven websites or who need to develop data processing pipelines.
Data Management Consultant
Data Management Consultant
Data Management Consultants help organizations manage and use their data effectively. They use their skills in data wrangling, analysis, and governance to help organizations improve their data quality, data security, and data governance practices. The course Data Wrangling with Python 3 can help Data Management Consultants develop the skills they need to effectively clean, transform, and analyze data, enabling them to make more informed and data-driven recommendations.
Database Administrator
Database Administrator
Database Administrators design, develop, and maintain databases. While not directly related to data wrangling, the course Data Wrangling with Python 3 may be useful for Database Administrators who need to develop data processing pipelines or who work with data-intensive databases.
For more career information including salaries, visit:
OpenCourser.com/course/hyumbf/data
Reading list
We've selected six 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
Data Wrangling with Python 3.
Covers a wide range of topics in data science, including data wrangling, machine learning, and data visualization. It is useful for those who want to learn more about data science in general.
Covers the basics of data manipulation with the Pandas library. It would be helpful for those who want to learn more about Pandas specifically.
Covers the basics of data cleaning in Python. It good resource for those who want to learn more about data cleaning specifically.
Covers the basics of machine learning in Python. It good resource for those who want to learn more about machine learning in general.
Covers the basics of deep learning in Python. It good resource for those who want to learn more about deep learning specifically.
Covers the basics of natural language processing in Python. It good resource for those who want to learn more about natural language processing specifically.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hyumbf/data
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Time
80 hours
Level
Intermediate
Via
Pluralsight
Instructor
Pratheerth Padman
Language
English
This course belongs to a
collection
called
Python for Data Analysts. It's comprised of 11 courses:
- Building Your First Python Analytics Solution
- Create and Share Analytics with Jupyter Notebooks
- Python for Data Analysts
- Programming Python Using an IDE
- Leveraging Online Resources for Python Analytics
- Importing Data: Python Data Playbook
- Cleaning Data: Python Data Playbook
- Pygal 2: Python Data Playbook
- Understanding Databases with SQLAlchemy 1: Python Data Playbook
- Web Scraping: Python Data Playbook
- Data Wrangling with Python 3 (viewing)
Good to know
Guides students in cleaning and structuring data for further analysis, a crucial step in machine learning and data analytics
Taught by Pratheerth Padman, an experienced instructor who specializes in data wrangling and related topics
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