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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 third 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/xw4vgd/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 third 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
Builds a strong foundation for beginners in data analysis and manipulation with Pandas and Python
Course is part of a series designed for those who want to master data analysis with Pandas
Limited to North America region currently
Instructor Ryan Ahmed are not recognized for their work in data analysis or manipulation
Save this course
Save Mastering Data Analysis with Pandas: Learning Path Part 3 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 3 with these
activities:
Join a data analysis study group
Show steps
Collaborate with peers to enhance your understanding and gain different perspectives.
Browse courses on
Data Analysis
Show steps
-
Find a study group or create one with classmates
-
Meet regularly to discuss course material
-
Work together on projects
Review basic Python syntax
Show steps
Ensure a solid foundation in Python before starting the course.
Browse courses on
Python
Show steps
-
Go over basic concepts like variables, data types, and control flow
-
Complete some simple coding exercises
Introduction to Pandas Data Analysis
Show steps
Gain a deeper understanding of the concepts and techniques covered in the course.
View
Python for Data Analysis: Data Wrangling with...
on Amazon
Show steps
-
Read at least two chapters
-
Take notes and highlight important concepts
-
Complete any recommended exercises in the book
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete online programming exercises
Show steps
Increase comfort and accuracy when writing Python code.
Browse courses on
Python
Show steps
-
Find programming exercises online
-
Solve each exercise using the Pandas library
-
Review solutions to identify areas for improvement
Follow online tutorials on data manipulation
Show steps
Expand your knowledge and skills by learning from experts in the field.
Browse courses on
Pandas
Show steps
-
Identify relevant tutorials on YouTube or other platforms
-
Watch the tutorials and take notes
-
Apply the techniques you learn in your own projects
Data Visualization Project
Show steps
Apply your skills to a real-world project and demonstrate your ability to communicate data insights effectively.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset
-
Clean and prepare the data using Pandas
-
Create visualizations to present the data
-
Write a report summarizing your findings
Pandas Data Analysis Project
Show steps
Challenge yourself with a project that tests your abilities and expands your knowledge.
Browse courses on
Pandas
Show steps
-
Define a problem statement
-
Gather and prepare data
-
Analyze the data using Pandas
-
Present your findings
Contribute to a Pandas open-source project
Show steps
Gain practical experience and contribute to the community by working on real-life Pandas issues and enhancements.
Browse courses on
Pandas
Show steps
-
Find a suitable project on GitHub
-
Read the project documentation and codebase
-
Identify an area to contribute to
-
Make your changes and submit a pull request
Join a data analysis study group
Show steps
Collaborate with peers to enhance your understanding and gain different perspectives.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a study group or create one with classmates
- Meet regularly to discuss course material
- Work together on projects
Review basic Python syntax
Show steps
Ensure a solid foundation in Python before starting the course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Go over basic concepts like variables, data types, and control flow
- Complete some simple coding exercises
Introduction to Pandas Data Analysis
Show steps
Gain a deeper understanding of the concepts and techniques covered in the course.
View
Python for Data Analysis: Data Wrangling with...
on Amazon
Show steps
Show steps
Show steps
- Read at least two chapters
- Take notes and highlight important concepts
- Complete any recommended exercises in the book
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete online programming exercises
Show steps
Increase comfort and accuracy when writing Python code.
Browse courses on
Python
Show steps
Show steps
Show steps
- Find programming exercises online
- Solve each exercise using the Pandas library
- Review solutions to identify areas for improvement
Follow online tutorials on data manipulation
Show steps
Expand your knowledge and skills by learning from experts in the field.
Browse courses on
Pandas
Show steps
Show steps
Show steps
- Identify relevant tutorials on YouTube or other platforms
- Watch the tutorials and take notes
- Apply the techniques you learn in your own projects
Data Visualization Project
Show steps
Apply your skills to a real-world project and demonstrate your ability to communicate data insights effectively.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset
- Clean and prepare the data using Pandas
- Create visualizations to present the data
- Write a report summarizing your findings
Pandas Data Analysis Project
Show steps
Challenge yourself with a project that tests your abilities and expands your knowledge.
Browse courses on
Pandas
Show steps
Show steps
Show steps
- Define a problem statement
- Gather and prepare data
- Analyze the data using Pandas
- Present your findings
Contribute to a Pandas open-source project
Show steps
Gain practical experience and contribute to the community by working on real-life Pandas issues and enhancements.
Browse courses on
Pandas
Show steps
Show steps
Show steps
- Find a suitable project on GitHub
- Read the project documentation and codebase
- Identify an area to contribute to
- Make your changes and submit a pull request
Career center
Learners who complete Mastering Data Analysis with Pandas: Learning Path Part 3 will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to extract meaningful insights and trends. With the skills gained from the Mastering Data Analysis with Pandas: Learning Path Part 3 course, you will be well-equipped to perform these tasks effectively. The course covers essential data manipulation techniques using Pandas, a powerful Python library that is widely used in data analysis. By leveraging these techniques, you can efficiently manage and analyze large datasets, identify patterns, and draw actionable conclusions, making you a valuable asset to any organization seeking to make data-driven decisions.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models to solve complex problems. The Mastering Data Analysis with Pandas: Learning Path Part 3 course provides a solid foundation in data manipulation and analysis, which is crucial for building effective machine learning models. Through hands-on projects, you will learn how to prepare, clean, and explore data using Pandas, enabling you to create robust and accurate machine learning models that can drive business value.
Data Scientist
Data Scientist
Data Scientists use advanced statistical and machine learning techniques to extract insights from data and solve complex business problems. The Mastering Data Analysis with Pandas: Learning Path Part 3 course offers a comprehensive overview of data analysis and manipulation techniques using Pandas. By mastering these techniques, you will gain the ability to analyze large datasets, identify trends and patterns, and develop predictive models, making you a highly sought-after professional in the field of data science.
Business Analyst
Business Analyst
Business Analysts identify and analyze business needs and develop solutions to improve organizational performance. The Mastering Data Analysis with Pandas: Learning Path Part 3 course equips you with the data analysis and manipulation skills essential for this role. You will learn how to gather, clean, and interpret data, enabling you to make data-driven recommendations that drive business growth and efficiency.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to provide insights and make informed decisions. The Mastering Data Analysis with Pandas: Learning Path Part 3 course provides a strong foundation in data analysis and manipulation techniques using Pandas. By mastering these techniques, you will be able to effectively analyze data, draw meaningful conclusions, and communicate your findings clearly, making you a valuable asset to organizations seeking to make evidence-based decisions.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the infrastructure and systems that support data analysis and machine learning. The Mastering Data Analysis with Pandas: Learning Path Part 3 course offers a solid foundation in data manipulation and analysis techniques using Pandas. By mastering these techniques, you will gain the ability to prepare and process large datasets efficiently, ensuring that data analysts and scientists have access to high-quality data for their work.
Financial Analyst
Financial Analyst
Financial Analysts use data analysis and modeling to evaluate financial performance and make investment recommendations. The Mastering Data Analysis with Pandas: Learning Path Part 3 course provides a strong foundation in data manipulation and analysis techniques using Pandas. By mastering these techniques, you will be able to analyze financial data, build financial models, and make informed investment decisions, making you a valuable asset to financial institutions and investment firms.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems and improve operational efficiency. The Mastering Data Analysis with Pandas: Learning Path Part 3 course provides a strong foundation in data manipulation and analysis techniques using Pandas. By mastering these techniques, you will be able to analyze data, develop optimization models, and make data-driven recommendations that drive operational excellence.
Market Research Analyst
Market Research Analyst
Market Research Analysts collect, analyze, and interpret market data to provide insights into consumer behavior and trends. The Mastering Data Analysis with Pandas: Learning Path Part 3 course equips you with the data analysis and manipulation skills essential for this role. You will learn how to gather, clean, and interpret data, enabling you to conduct market research studies and make data-driven recommendations that drive business growth and innovation.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts transform complex data into visual representations to communicate insights and trends. The Mastering Data Analysis with Pandas: Learning Path Part 3 course provides a strong foundation in data manipulation and analysis techniques using Pandas. By mastering these techniques, you will be able to effectively prepare and visualize data, creating compelling and informative dashboards and reports that drive decision-making.
Epidemiologist
Epidemiologist
Epidemiologists investigate the distribution and determinants of health-related states or events in defined populations. The Mastering Data Analysis with Pandas: Learning Path Part 3 course provides a strong foundation in data manipulation and analysis techniques using Pandas. By mastering these techniques, you will be able to analyze epidemiological data, identify risk factors, and develop prevention and intervention strategies, making you a valuable asset to public health organizations and research institutions.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty in the insurance and finance industries. The Mastering Data Analysis with Pandas: Learning Path Part 3 course provides a strong foundation in data manipulation and analysis techniques using Pandas. By mastering these techniques, you will be able to analyze actuarial data, develop models to assess risk, and make informed decisions that protect individuals and organizations from financial uncertainty.
Biostatistician
Biostatistician
Biostatisticians apply statistical methods to solve problems in the life sciences and healthcare. The Mastering Data Analysis with Pandas: Learning Path Part 3 course provides a strong foundation in data manipulation and analysis techniques using Pandas. By mastering these techniques, you will be able to analyze biological and health-related data, develop statistical models, and make evidence-based conclusions that advance scientific research and improve patient outcomes.
Economist
Economist
Economists study the production, distribution, and consumption of goods and services. The Mastering Data Analysis with Pandas: Learning Path Part 3 course provides a strong foundation in data manipulation and analysis techniques using Pandas. By mastering these techniques, you will be able to analyze economic data, develop models to explain economic phenomena, and make informed policy recommendations that drive economic growth and prosperity.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts develop and implement mathematical and statistical models to analyze financial data and make investment decisions. The Mastering Data Analysis with Pandas: Learning Path Part 3 course provides a strong foundation in data manipulation and analysis techniques using Pandas. By mastering these techniques, you will be able to analyze financial data, build quantitative models, and make informed investment decisions, making you a valuable asset to investment banks and hedge funds.
For more career information including salaries, visit:
OpenCourser.com/course/xw4vgd/mastering
Reading list
We've selected 13 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 3.
Provides a comprehensive overview of data science using Python, including data manipulation, analysis, and visualization. It valuable resource for both beginners and experienced data scientists.
Provides a practical introduction to machine learning using Python, covering a wide range of topics from data preprocessing to model evaluation. It great resource for those interested in learning more about machine learning.
Save
Provides a comprehensive overview of data analysis using Python and Pandas, including data manipulation, cleaning, and visualization. It valuable resource for both beginners and experienced data analysts.
Provides a comprehensive overview of Python for data analysis, including data manipulation, cleaning, and visualization. It valuable resource for both beginners and experienced data analysts.
Provides a comprehensive overview of machine learning using Python, including data preprocessing, model evaluation, and deployment. It valuable resource for both beginners and experienced machine learning practitioners.
Provides a hands-on introduction to data science using Python, covering a wide range of topics from data preprocessing to model evaluation. It great resource for those interested in learning more about data science.
Provides a gentle introduction to machine learning using Python, covering a wide range of topics from data preprocessing to model evaluation. It great resource for those interested in learning more about machine learning.
Provides a comprehensive overview of deep learning using Python, including a wide range of topics from model architecture to training and evaluation. It valuable resource for both beginners and experienced deep learning practitioners.
Provides a comprehensive overview of natural language processing using Python, including a wide range of topics from text preprocessing to model evaluation. It valuable resource for both beginners and experienced natural language processing practitioners.
Provides a comprehensive overview of computer vision using Python, including a wide range of topics from image processing to object detection and recognition. It valuable resource for both beginners and experienced computer vision practitioners.
Provides a comprehensive overview of statistical learning using Python, including a wide range of topics from data preprocessing to model evaluation. It valuable resource for both beginners and experienced statistical learning practitioners.
Provides a comprehensive overview of the mathematics behind machine learning, including a wide range of topics from linear algebra to calculus. It valuable resource for those interested in understanding the theoretical foundations of machine learning.
Provides a comprehensive overview of reinforcement learning using Python, including a wide range of topics from basic concepts to advanced algorithms. It valuable resource for those interested in learning more about reinforcement learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/xw4vgd/mastering
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Ryan Ahmed
Language
English
Good to know
Builds a strong foundation for beginners in data analysis and manipulation with Pandas and Python
Course is part of a series designed for those who want to master data analysis with Pandas
Limited to North America region currently
Instructor Ryan Ahmed are not recognized for their work in data analysis or manipulation
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