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Ryan Ahmed
In this structured series of hands-on guided projects, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to use open-source data analysis and manipulation tool. This guided project is the fifth of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/nnaywe/mastering
What's inside
Syllabus
Project Overview
In this structured series of hands-on guided projects, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to use open-source data analysis and manipulation tool. This guided project is the fifth of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops data analysis and manipulation with Pandas, a popular tool in industry
Designed for learners who desire proficiency in data analysis with Pandas
Engages learners in hands-on, guided projects to enhance practical skills
Part of a structured learning path, providing a comprehensive approach
Save this course
Save Mastering Data Analysis with Pandas: Learning Path Part 5 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 Mastering Data Analysis with Pandas: Learning Path Part 5 with these
activities:
Python Refresher
Show steps
Revisit fundamental Python concepts and techniques before starting the Pandas course to ensure a strong foundation.
Browse courses on
Python Basics
Show steps
-
Review online tutorials or documentation on Python basics.
-
Practice writing simple Python scripts and programs.
Pandas Resources Collection
Show steps
Compile a collection of useful Pandas resources, including tutorials, documentation, code snippets, and datasets.
Show steps
-
Search for and gather high-quality Pandas resources.
-
Organize the resources into a structured format.
-
Share the collection with classmates or the online community.
Pandas Study Group
Show steps
Participate in a study group with peers to discuss Pandas concepts, share experiences, and collaborate on projects.
Show steps
-
Join a Pandas study group or organize one with classmates.
-
Review course materials and prepare questions or topics for discussion.
-
Participate actively in group discussions, sharing insights and asking questions.
Two other activities
Expand to see all activities and additional details
Show all five activities
Pandas Data Manipulation Project
Show steps
Develop a Pandas-based project to demonstrate your data manipulation skills and reinforce your understanding of the concepts covered in the course.
Show steps
-
Identify a real-world dataset and define a problem statement.
-
Load and explore the dataset using Pandas.
-
Perform data cleaning, transformation, and analysis using Pandas techniques.
-
Visualize and interpret the results of your analysis.
-
Write a report or create a presentation showcasing your project.
Contribute to a Pandas Open Source Project
Show steps
Make contributions to a Pandas open-source project to gain practical experience, develop your coding skills, and deepen your understanding of Pandas.
Show steps
-
Identify a Pandas open-source project that aligns with your interests.
-
Review the project documentation and issue tracker.
-
Propose and implement a feature or fix a bug.
Python Refresher
Show steps
Revisit fundamental Python concepts and techniques before starting the Pandas course to ensure a strong foundation.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Review online tutorials or documentation on Python basics.
- Practice writing simple Python scripts and programs.
Pandas Resources Collection
Show steps
Compile a collection of useful Pandas resources, including tutorials, documentation, code snippets, and datasets.
Show steps
Show steps
Show steps
- Search for and gather high-quality Pandas resources.
- Organize the resources into a structured format.
- Share the collection with classmates or the online community.
Pandas Study Group
Show steps
Participate in a study group with peers to discuss Pandas concepts, share experiences, and collaborate on projects.
Show steps
Show steps
Show steps
- Join a Pandas study group or organize one with classmates.
- Review course materials and prepare questions or topics for discussion.
- Participate actively in group discussions, sharing insights and asking questions.
Two other activities
Expand to see all activities and additional details
Show all five activities
Pandas Data Manipulation Project
Show steps
Develop a Pandas-based project to demonstrate your data manipulation skills and reinforce your understanding of the concepts covered in the course.
Show steps
Show steps
Show steps
- Identify a real-world dataset and define a problem statement.
- Load and explore the dataset using Pandas.
- Perform data cleaning, transformation, and analysis using Pandas techniques.
- Visualize and interpret the results of your analysis.
- Write a report or create a presentation showcasing your project.
Contribute to a Pandas Open Source Project
Show steps
Make contributions to a Pandas open-source project to gain practical experience, develop your coding skills, and deepen your understanding of Pandas.
Show steps
Show steps
Show steps
- Identify a Pandas open-source project that aligns with your interests.
- Review the project documentation and issue tracker.
- Propose and implement a feature or fix a bug.
Career center
Learners who complete Mastering Data Analysis with Pandas: Learning Path Part 5 will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst is a professional who uses data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. Data Analysts use their findings to make recommendations to businesses on how to improve their operations. The Mastering Data Analysis with Pandas: Learning Path Part 5 course can help you develop the skills you need to become a successful Data Analyst. This course will teach you how to use Pandas, a powerful open-source data analysis library, to clean, analyze, and visualize data. You will also learn how to use Pandas to create dashboards and reports that can be used to communicate your findings to stakeholders.
Data Scientist
Data Scientist
A Data Scientist is a professional who uses data to build machine learning models. These models can be used to predict future events, identify trends, and make recommendations. Data Scientists are in high demand in a variety of industries, including finance, healthcare, and retail. The Mastering Data Analysis with Pandas: Learning Path Part 5 course can help you develop the skills you need to become a successful Data Scientist. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to create machine learning models.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is a professional who builds and deploys machine learning models. Machine Learning Engineers work with Data Scientists to develop machine learning models that can be used to solve business problems. Machine Learning Engineers are also responsible for deploying and maintaining machine learning models in production. The Mastering Data Analysis with Pandas: Learning Path Part 5 course can help you develop the skills you need to become a successful Machine Learning Engineer. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to create and deploy machine learning models.
Business Analyst
Business Analyst
A Business Analyst is a professional who analyzes business processes and identifies areas for improvement. Business Analysts use data to understand how a business operates and to make recommendations on how to improve efficiency and effectiveness. The Mastering Data Analysis with Pandas: Learning Path Part 5 course can help you develop the skills you need to become a successful Business Analyst. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to identify trends and patterns in data.
Financial Analyst
Financial Analyst
A Financial Analyst is a professional who analyzes financial data to make investment recommendations. Financial Analysts use data to identify undervalued stocks and to make recommendations on how to allocate assets. The Mastering Data Analysis with Pandas: Learning Path Part 5 course can help you develop the skills you need to become a successful Financial Analyst. This course will teach you how to use Pandas to clean, analyze, and visualize financial data. You will also learn how to use Pandas to create financial models.
Market Researcher
Market Researcher
A Market Researcher is a professional who conducts research on consumer behavior and market trends. Market Researchers use data to understand what consumers want and need. The Mastering Data Analysis with Pandas: Learning Path Part 5 course can help you develop the skills you need to become a successful Market Researcher. This course will teach you how to use Pandas to clean, analyze, and visualize market research data. You will also learn how to use Pandas to identify trends and patterns in consumer behavior.
Data Engineer
Data Engineer
A Data Engineer is a professional who builds and maintains data pipelines. Data Engineers work with Data Scientists and Machine Learning Engineers to ensure that data is clean, reliable, and accessible. The Mastering Data Analysis with Pandas: Learning Path Part 5 course may be useful for aspiring Data Engineers. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to create data pipelines.
Software Engineer
Software Engineer
A Software Engineer is a professional who designs, develops, and maintains software applications. Software Engineers use data to understand how software applications work and to make recommendations on how to improve their performance. The Mastering Data Analysis with Pandas: Learning Path Part 5 course may be useful for aspiring Software Engineers. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to identify trends and patterns in data.
Statistician
Statistician
A Statistician is a professional who collects, analyzes, and interprets data. Statisticians use data to make predictions and to draw conclusions about the world around us. The Mastering Data Analysis with Pandas: Learning Path Part 5 course may be useful for aspiring Statisticians. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to perform statistical analysis.
Actuary
Actuary
An Actuary is a professional who uses mathematics and statistics to assess risk. Actuaries use data to calculate the probability of future events and to make recommendations on how to manage risk. The Mastering Data Analysis with Pandas: Learning Path Part 5 course may be useful for aspiring Actuaries. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to perform statistical analysis.
Epidemiologist
Epidemiologist
An Epidemiologist is a professional who studies the distribution and causes of disease. Epidemiologists use data to identify risk factors for disease and to develop strategies to prevent and control disease. The Mastering Data Analysis with Pandas: Learning Path Part 5 course may be useful for aspiring Epidemiologists. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to perform statistical analysis.
Data Journalist
Data Journalist
A Data Journalist is a professional who uses data to tell stories. Data Journalists use data to investigate issues and to explain complex topics to the public. The Mastering Data Analysis with Pandas: Learning Path Part 5 course may be useful for aspiring Data Journalists. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to communicate your findings to a non-technical audience.
UX Researcher
UX Researcher
A UX Researcher is a professional who studies how users interact with products and services. UX Researchers use data to understand user needs and to make recommendations on how to improve the user experience. The Mastering Data Analysis with Pandas: Learning Path Part 5 course may be useful for aspiring UX Researchers. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to identify trends and patterns in user behavior.
Product Manager
Product Manager
A Product Manager is a professional who is responsible for the development and launch of new products. Product Managers use data to understand customer needs and to make decisions about product features and pricing. The Mastering Data Analysis with Pandas: Learning Path Part 5 course may be useful for aspiring Product Managers. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to identify trends and patterns in customer behavior.
Consultant
Consultant
A Consultant is a professional who provides advice to businesses on how to improve their operations. Consultants use data to identify problems and to develop solutions. The Mastering Data Analysis with Pandas: Learning Path Part 5 course may be useful for aspiring Consultants. This course will teach you how to use Pandas to clean, analyze, and visualize data. You will also learn how to use Pandas to identify trends and patterns in data.
For more career information including salaries, visit:
OpenCourser.com/course/nnaywe/mastering
Reading list
We've selected ten 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
Mastering Data Analysis with Pandas: Learning Path Part 5.
Is written by the creator of the Pandas library, and great resource for learning more about the library and its capabilities.
Provides a comprehensive overview of data science with Python, including coverage of Pandas.
Provides a comprehensive overview of statistical learning, which fundamental concept in data analysis.
Save
Provides a comprehensive overview of data mining, which related field to data analysis.
Provides a comprehensive introduction to data science, including coverage of Pandas.
Save
Provides a comprehensive overview of data science with R, which similar language to Python.
Save
Provides a comprehensive overview of deep learning, which related field to data analysis.
Provides a comprehensive overview of natural language processing with Python, which related field to data analysis.
Provides a comprehensive overview of machine learning with Python, including coverage of Pandas.
Provides a gentle introduction to machine learning with Python, including coverage of Pandas.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nnaywe/mastering
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Ryan Ahmed
Language
English
Good to know
Develops data analysis and manipulation with Pandas, a popular tool in industry
Designed for learners who desire proficiency in data analysis with Pandas
Engages learners in hands-on, guided projects to enhance practical skills
Part of a structured learning path, providing a comprehensive approach
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