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Data Presentation with Pandas
Anton Dolganov
Anton Dolganov
The project is intended for students of various fields who are faced with the tasks of data processing and analysis. The project introduces the basic functionality of the Pandas library for loading, analyzing and processing a dataset. The project also...
Read more
The project is intended for students of various fields who are faced with the tasks of data processing and analysis. The project introduces the basic functionality of the Pandas library for loading, analyzing and processing a dataset. The project also...
Read more
The project is intended for students of various fields who are faced with the tasks of data processing and analysis. The project introduces the basic functionality of the Pandas library for loading, analyzing and processing a dataset. The project also introduces the listener to data visualization methods that will help to visualize data and allow formulating basic hypotheses about the data.
Register for this course and see more details by visiting:
OpenCourser.com/course/znz34c/data
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what to watch for , and
possible dealbreakers
Introduces Python library for data processing and analysis
Covers basics of data visualization for effective data representation
Suitable for learners with diverse backgrounds
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Data Presentation with Pandas.
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Career center
Learners who complete Data Presentation with Pandas will develop knowledge and skills
that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to help people understand and communicate data. This course will help build a foundation for your career as a Data Visualization Specialist by introducing you to the Pandas library, a powerful tool for data manipulation and analysis. You will learn how to load, clean, and analyze data, as well as how to visualize data to help you communicate your findings effectively.
Data Analyst
Data Analyst
Data Analysts apply analytical and technical skills to solve business problems. You will help identify data sources, gather and clean data, and identify meaningful patterns and trends to derive insights. This course will help build a foundation for your career as a Data Analyst by introducing you to the Pandas library, a powerful tool for data manipulation and analysis. You will learn how to load, clean, and analyze data, as well as how to visualize data to help you communicate your findings effectively.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course will help build a foundation for your career as a Data Scientist by introducing you to the Pandas library, a powerful tool for data manipulation and analysis. You will learn how to load, clean, and analyze data, as well as how to visualize data to help you communicate your findings effectively.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex problems in a variety of industries. This course may be useful for Operations Research Analysts as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help Operations Research Analysts better understand data and make more informed decisions.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. This course may be useful for Statisticians as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help Statisticians better understand data and make more informed decisions about data analysis and interpretation.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful for Software Engineers as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help Software Engineers better understand data and make more informed decisions about software design and development.
Financial Analyst
Financial Analyst
Financial Analysts provide advice and guidance to individuals and organizations on financial matters. This course may be useful for Financial Analysts as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help Financial Analysts better understand data and make more informed decisions.
Product Manager
Product Manager
Product Managers lead the development and launch of new products and services. This course may be useful for Product Managers as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help Product Managers better understand data and make more informed decisions about product development and launch.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. This course may be useful for Data Engineers as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help Data Engineers better understand data and make more informed decisions about data pipeline design and maintenance.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. This course may be useful for Quantitative Analysts as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help Quantitative Analysts better understand data and make more informed decisions.
Market Researcher
Market Researcher
Market Researchers conduct surveys, collect data, and analyze market trends to help businesses make informed decisions. This course may be useful for Market Researchers as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help Market Researchers better understand data and make more informed decisions.
Information Architect
Information Architect
Information Architects design and organize information systems to make them easy to find and use. This course may be useful for Information Architects as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help Information Architects better understand data and make more informed decisions about information system design and organization.
User Experience Researcher
User Experience Researcher
User Experience Researchers conduct research to understand how users interact with products and services. This course may be useful for User Experience Researchers as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help User Experience Researchers better understand data and make more informed decisions about product and service design.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. This course may be useful for Machine Learning Engineers as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help Machine Learning Engineers better understand data and make more informed decisions about machine learning model design and maintenance.
Business Analyst
Business Analyst
Business Analysts bridge the gap between business and IT by understanding the business needs and translating them into technical requirements. This course may be useful for Business Analysts as it introduces the Pandas library, a tool for data analysis and manipulation. Learning how to use Pandas can help Business Analysts better understand data and make more informed decisions.
For more career information including salaries, visit:
OpenCourser.com/course/znz34c/data
Reading list
We've selected 12 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 Presentation with Pandas.
Provides a comprehensive introduction to using Python for data analysis, from data acquisition and cleaning to data manipulation and visualization. It valuable resource for anyone who wants to learn how to use Python for data analysis.
Hands-on guide to using Pandas for data analysis. It covers a wide range of topics, from data cleaning and transformation to data analysis and visualization. It valuable resource for anyone who wants to learn how to use Pandas for data analysis.
Comprehensive introduction to machine learning using Python. It covers a wide range of topics, from supervised learning to unsupervised learning. It valuable resource for anyone who wants to learn how to use machine learning for data analysis.
Comprehensive introduction to deep learning using Python. It covers a wide range of topics, from convolutional neural networks to recurrent neural networks. It valuable resource for anyone who wants to learn how to use deep learning for data analysis.
Comprehensive introduction to natural language processing using Python. It covers a wide range of topics, from text classification to text generation. It valuable resource for anyone who wants to learn how to use natural language processing for data analysis.
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Comprehensive introduction to probability and statistics using R. It covers a wide range of topics, from probability theory to statistical inference. It valuable resource for anyone who wants to learn how to use probability and statistics for data analysis.
Comprehensive introduction to Bayesian data analysis. It covers a wide range of topics, from Bayesian inference to Bayesian modeling. It valuable resource for anyone who wants to learn how to use Bayesian data analysis for data analysis.
Comprehensive introduction to causal inference in statistics. It covers a wide range of topics, from the foundations of causal inference to the application of causal inference to real-world problems. It valuable resource for anyone who wants to learn how to use causal inference for data analysis.
Save
Classic introduction to data visualization. It covers a wide range of topics, from the principles of data visualization to the application of data visualization to real-world problems. It valuable resource for anyone who wants to learn how to use data visualization to analyze data.
Save
Practical introduction to data visualization. It covers a wide range of topics, from the principles of data visualization to the application of data visualization to real-world problems. It valuable resource for anyone who wants to learn how to use data visualization to analyze data.
Comprehensive introduction to information visualization. It covers a wide range of topics, from the principles of information visualization to the application of information visualization to real-world problems. It valuable resource for anyone who wants to learn how to use information visualization to analyze data.
Save
Practical introduction to data visualization. It covers a wide range of topics, from the principles of data visualization to the application of data visualization to real-world problems. It valuable resource for anyone who wants to learn how to use data visualization to analyze data.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/znz34c/data
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Time
3 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Anton Dolganov
Good to know
Introduces Python library for data processing and analysis
Covers basics of data visualization for effective data representation
Suitable for learners with diverse backgrounds
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