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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 second of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas.
Read more
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 second of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas.
Read more
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 second 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/vzrcbk/mastering
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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 second 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 strong foundations in data analysis and manipulation for anyone, including beginners
Uses Python and Pandas, which are widely used tools in the industry for data analysis and manipulation
Involves hands-on, guided projects to enhance practical skills and understanding
Save this course
Save Mastering Data Analysis with Pandas: Learning Path Part 2 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 2 with these
activities:
Read 'Python for Data Analysis'
Show steps
Supplement your learning with a comprehensive guide to data analysis with Pandas. This book provides valuable insights and practical examples.
View
Python for Data Analysis: Data Wrangling with...
on Amazon
Show steps
-
Obtain a copy of 'Python for Data Analysis'.
-
Allocate time for reading and note-taking.
-
Apply the concepts presented in the book to your own practice.
Start a Side Project Using Pandas
Show steps
Build practical experience by starting a side project that utilizes Pandas. This will provide a hands-on approach to reinforce your learning.
Browse courses on
Data Analysis
Show steps
-
Identify a problem or opportunity that can be addressed with data analysis.
-
Research and gather relevant data.
-
Apply Pandas techniques to analyze and manipulate the data.
-
Develop a solution or product based on your analysis.
Follow Advanced Pandas Tutorial
Show steps
Enhance your understanding of Pandas' advanced features by following online tutorials. This will improve your ability to handle complex data efficiently.
Browse courses on
Pandas
Show steps
-
Identify reputable tutorials covering advanced Pandas concepts.
-
Set aside dedicated time to work through the tutorials.
-
Take notes and experiment with the techniques presented.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve Pandas Coding Challenges
Show steps
Reinforce your Pandas skills by solving coding challenges. This will sharpen your problem-solving abilities and solidify your understanding of data manipulation techniques.
Browse courses on
Pandas
Show steps
-
Find online platforms or resources offering Pandas coding challenges.
-
Allocate time for regular practice sessions.
-
Analyze solutions and identify areas for improvement.
Join a Pandas Study Group
Show steps
Collaborate with peers in a study group to enhance your understanding of Pandas. Engage in discussions, share knowledge, and work through challenges together.
Browse courses on
Pandas
Show steps
-
Find or organize a study group with other Pandas learners.
-
Set regular meeting times and create a study plan.
-
Actively participate in discussions and share your insights.
Attend a Pandas Workshop
Show steps
Enhance your understanding by attending a workshop focused on Pandas. Engage with experts and learn advanced techniques.
Browse courses on
Pandas
Show steps
-
Find and register for a relevant Pandas workshop.
-
Actively participate in the workshop and ask questions.
-
Apply the knowledge and skills gained to your own practice.
Build a Real-World Data Analysis Project
Show steps
Consolidate your learning by applying Pandas techniques to a real-world data analysis project. This hands-on experience will enhance your critical thinking and problem-solving skills.
Browse courses on
Data Analysis
Show steps
-
Identify a suitable dataset and problem statement.
-
Plan your analysis approach and data manipulation strategy.
-
Implement your analysis using Pandas and Python.
-
Present your findings and insights.
Read 'Python for Data Analysis'
Show steps
Supplement your learning with a comprehensive guide to data analysis with Pandas. This book provides valuable insights and practical examples.
View
Python for Data Analysis: Data Wrangling with...
on Amazon
Show steps
Show steps
Show steps
- Obtain a copy of 'Python for Data Analysis'.
- Allocate time for reading and note-taking.
- Apply the concepts presented in the book to your own practice.
Start a Side Project Using Pandas
Show steps
Build practical experience by starting a side project that utilizes Pandas. This will provide a hands-on approach to reinforce your learning.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify a problem or opportunity that can be addressed with data analysis.
- Research and gather relevant data.
- Apply Pandas techniques to analyze and manipulate the data.
- Develop a solution or product based on your analysis.
Follow Advanced Pandas Tutorial
Show steps
Enhance your understanding of Pandas' advanced features by following online tutorials. This will improve your ability to handle complex data efficiently.
Browse courses on
Pandas
Show steps
Show steps
Show steps
- Identify reputable tutorials covering advanced Pandas concepts.
- Set aside dedicated time to work through the tutorials.
- Take notes and experiment with the techniques presented.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve Pandas Coding Challenges
Show steps
Reinforce your Pandas skills by solving coding challenges. This will sharpen your problem-solving abilities and solidify your understanding of data manipulation techniques.
Browse courses on
Pandas
Show steps
Show steps
Show steps
- Find online platforms or resources offering Pandas coding challenges.
- Allocate time for regular practice sessions.
- Analyze solutions and identify areas for improvement.
Join a Pandas Study Group
Show steps
Collaborate with peers in a study group to enhance your understanding of Pandas. Engage in discussions, share knowledge, and work through challenges together.
Browse courses on
Pandas
Show steps
Show steps
Show steps
- Find or organize a study group with other Pandas learners.
- Set regular meeting times and create a study plan.
- Actively participate in discussions and share your insights.
Attend a Pandas Workshop
Show steps
Enhance your understanding by attending a workshop focused on Pandas. Engage with experts and learn advanced techniques.
Browse courses on
Pandas
Show steps
Show steps
Show steps
- Find and register for a relevant Pandas workshop.
- Actively participate in the workshop and ask questions.
- Apply the knowledge and skills gained to your own practice.
Build a Real-World Data Analysis Project
Show steps
Consolidate your learning by applying Pandas techniques to a real-world data analysis project. This hands-on experience will enhance your critical thinking and problem-solving skills.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify a suitable dataset and problem statement.
- Plan your analysis approach and data manipulation strategy.
- Implement your analysis using Pandas and Python.
- Present your findings and insights.
Career center
Learners who complete Mastering Data Analysis with Pandas: Learning Path Part 2 will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst uses data to solve business problems and improve decision making with the use of software tools. They often gather data, analyze it, and create reports based on the findings. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather data from multiple sources, clean and prepare it, and perform statistical analysis. This course can help Data Analysts develop the skills needed to succeed in their role.
Data Scientist
Data Scientist
A Data Scientist has skills that combine programming, mathematics, and statistics to extract knowledge and insights from data. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are foundational skills for Data Scientists. This course can help Data Scientists build a strong foundation in data analysis.
Business Analyst
Business Analyst
A Business Analyst helps businesses improve their performance by analyzing data and making recommendations. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Business Analysts. This course can help Business Analysts develop the skills needed to succeed in their role.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze data and make predictions. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Quantitative Analysts. This course can help Quantitative Analysts develop the skills needed to succeed in their role.
Market Researcher
Market Researcher
A Market Researcher gathers and analyzes data to understand consumer behavior and market trends. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Market Researchers. This course can help Market Researchers develop the skills needed to succeed in their role.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Financial Analysts. This course can help Financial Analysts develop the skills needed to succeed in their role.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical methods to improve the efficiency of business operations. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Operations Research Analysts. This course can help Operations Research Analysts develop the skills needed to succeed in their role.
Data Engineer
Data Engineer
A Data Engineer designs and builds systems to store, manage, and process data. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Data Engineers. This course can help Data Engineers develop the skills needed to succeed in their role.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Software Engineers. This course can help Software Engineers develop the skills needed to succeed in their role.
Statistician
Statistician
A Statistician gathers, analyzes, interprets, and presents data to help solve problems. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Statisticians. This course can help Statisticians develop the skills needed to succeed in their role.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, builds, and maintains machine learning models. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Machine Learning Engineers. This course can help Machine Learning Engineers develop the skills needed to succeed in their role.
Data Architect
Data Architect
A Data Architect designs and manages the architecture of data systems. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Data Architects. This course can help Data Architects develop the skills needed to succeed in their role.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Database Administrators. This course can help Database Administrators develop the skills needed to succeed in their role.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects an organization's data from unauthorized access. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Information Security Analysts. This course can help Information Security Analysts develop the skills needed to succeed in their role.
Computer Network Architect
Computer Network Architect
A Computer Network Architect designs and manages the architecture of computer networks. The course, Mastering Data Analysis with Pandas: Learning Path Part 2, teaches the fundamentals of data analysis, including how to gather, clean, and analyze data, which are essential skills for Computer Network Architects. This course can help Computer Network Architects develop the skills needed to succeed in their role.
For more career information including salaries, visit:
OpenCourser.com/course/vzrcbk/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 2.
Comprehensive guide to using Python for data analysis. It covers a wide range of topics, including data cleaning, data manipulation, and data visualization. It good choice if you want to learn more about Python or if you are new to data analysis.
Gentle introduction to data science. It covers a wide range of topics, including data cleaning, data analysis, and machine learning. It is suitable for a range of readers, from beginners to experienced data scientists.
Save
Comprehensive guide to deep learning. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It is suitable for a range of readers, from beginners to experienced deep learning practitioners.
Comprehensive guide to natural language processing. It covers a wide range of topics, including text classification, text clustering, and machine translation. It is suitable for a range of readers, from beginners to experienced natural language processing practitioners.
Save
Comprehensive guide to computer vision. It covers a wide range of topics, including image processing, feature detection, and object recognition. It is suitable for a range of readers, from beginners to experienced computer vision practitioners.
Save
Comprehensive guide to machine learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It is suitable for a range of readers, from beginners to experienced machine learners.
Comprehensive guide to deep learning for natural language processing. It covers a wide range of topics, including word embeddings, neural machine translation, and question answering. It is suitable for a range of readers, from beginners to experienced deep learning practitioners.
Comprehensive guide to pattern recognition and machine learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning. It is suitable for a range of readers, from beginners to experienced machine learners.
Comprehensive guide to reinforcement learning. It covers a wide range of topics, including Markov decision processes, value functions, and policy optimization. It is suitable for a range of readers, from beginners to experienced reinforcement learning practitioners.
Comprehensive guide to deep learning with Python. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks. It is suitable for a range of readers, from beginners to experienced deep learning practitioners.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/vzrcbk/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 strong foundations in data analysis and manipulation for anyone, including beginners
Uses Python and Pandas, which are widely used tools in the industry for data analysis and manipulation
Involves hands-on, guided projects to enhance practical skills and understanding
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