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Data Analysis and Visualization with Python
Adwith Malpe
and
Steven Osburn
Adwith Malpe
and
Steven Osburn
In this course, you will learn how to read and write data from and to a file. You will also examine how to manipulate and analyze the data using lists, tuples, dictionaries, sets, and the pandas and Matplot libraries.
Read more
In this course, you will learn how to read and write data from and to a file. You will also examine how to manipulate and analyze the data using lists, tuples, dictionaries, sets, and the pandas and Matplot libraries.
Read more
In this course, you will learn how to read and write data from and to a file. You will also examine how to manipulate and analyze the data using lists, tuples, dictionaries, sets, and the pandas and Matplot libraries.
As a developer, it's important to understand how to deal with issues that could cause an application to crash. You will learn how to implement exceptions to handle these issues.
You do not need a programming or computer science background to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!
Register for this course and see more details by visiting:
OpenCourser.com/course/nj877o/data
What's inside
Syllabus
Module 1: Sequences
In this module, we will discuss lists, tuples, dictionaries and sets.
Module 2: File Input and Output
In this module, you will explore how to read in data from a file, store information to a file, and modify a file.
Read more
Syllabus
Module 1: Sequences
In this module, we will discuss lists, tuples, dictionaries and sets.
Module 2: File Input and Output
In this module, you will explore how to read in data from a file, store information to a file, and modify a file.
Read more
Module 3: Data Analysis
In this module, you will explore libraries that allow you to manipulate data.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a solid foundation in programming concepts and data manipulation for novice learners
Taught by instructors with expertise in their field, ensuring high-quality content
Students will learn essential data analysis skills using industry-standard libraries and tools
Covers a wide range of data structures, providing a comprehensive understanding of data organization
Introduces exception handling for managing errors and ensuring code robustness
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Activities
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We're preparing activities for
Data Analysis and Visualization with Python.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Data Analysis and Visualization with Python will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst collects, organizes, and interprets data to help businesses make informed decisions. This course provides a solid foundation in data manipulation and analysis techniques, which are essential skills for Data Analysts. The course covers topics such as data cleaning, data transformation, data visualization, and statistical analysis, which are all commonly used by Data Analysts in their daily work.
Data Scientist
Data Scientist
A Data Scientist uses data to build models that can predict future outcomes or identify trends. This course provides a strong foundation in data analysis and visualization techniques, which are essential skills for Data Scientists. The course covers topics such as data mining, machine learning, and deep learning, which are all commonly used by Data Scientists in their daily work.
Business Analyst
Business Analyst
A Business Analyst uses data to help businesses improve their operations. This course provides a solid foundation in data analysis and visualization techniques, which are essential skills for Business Analysts. The course covers topics such as data mining, data modeling, and data presentation, which are all commonly used by Business Analysts in their daily work.
Market Researcher
Market Researcher
A Market Researcher collects and analyzes data to help businesses understand their customers. This course provides a strong foundation in data analysis and visualization techniques, which are essential skills for Market Researchers. The course covers topics such as survey design, data analysis, and data presentation, which are all commonly used by Market Researchers in their daily work.
Financial Analyst
Financial Analyst
A Financial Analyst uses data to make investment decisions. This course provides a strong foundation in data analysis and visualization techniques, which are essential skills for Financial Analysts. The course covers topics such as financial modeling, data analysis, and data presentation, which are all commonly used by Financial Analysts in their daily work.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful for Software Engineers who want to learn more about data analysis and visualization techniques. The course covers topics such as data structures, algorithms, and software design, which are all commonly used by Software Engineers in their daily work.
Data Engineer
Data Engineer
A Data Engineer builds and maintains data pipelines. This course may be useful for Data Engineers who want to learn more about data analysis and visualization techniques. The course covers topics such as data warehousing, data mining, and data visualization, which are all commonly used by Data Engineers in their daily work.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course may be useful for Database Administrators who want to learn more about data analysis and visualization techniques. The course covers topics such as database design, data optimization, and data security, which are all commonly used by Database Administrators in their daily work.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data. This course may be useful for Statisticians who want to learn more about data visualization techniques. The course covers topics such as statistical modeling, data analysis, and data presentation, which are all commonly used by Statisticians in their daily work.
Actuary
Actuary
An Actuary uses data to assess risk and uncertainty. This course may be useful for Actuaries who want to learn more about data analysis and visualization techniques. The course covers topics such as probability, statistics, and financial modeling, which are all commonly used by Actuaries in their daily work.
Epidemiologist
Epidemiologist
An Epidemiologist investigates the causes of disease and other health problems. This course may be useful for Epidemiologists who want to learn more about data analysis and visualization techniques. The course covers topics such as data collection, data analysis, and data presentation, which are all commonly used by Epidemiologists in their daily work.
Biostatistician
Biostatistician
A Biostatistician applies statistical methods to medical research. This course may be useful for Biostatisticians who want to learn more about data analysis and visualization techniques. The course covers topics such as clinical trials, data analysis, and data presentation, which are all commonly used by Biostatisticians in their daily work.
Economist
Economist
An Economist studies the production, distribution, and consumption of goods and services. This course may be useful for Economists who want to learn more about data analysis and visualization techniques. The course covers topics such as econometrics, data analysis, and data presentation, which are all commonly used by Economists in their daily work.
Sociologist
Sociologist
A Sociologist studies human society and social behavior. This course may be useful for Sociologists who want to learn more about data analysis and visualization techniques. The course covers topics such as social research, data analysis, and data presentation, which are all commonly used by Sociologists in their daily work.
Psychologist
Psychologist
A Psychologist studies the mind and behavior. This course may be useful for Psychologists who want to learn more about data analysis and visualization techniques. The course covers topics such as psychological research, data analysis, and data presentation, which are all commonly used by Psychologists in their daily work.
For more career information including salaries, visit:
OpenCourser.com/course/nj877o/data
Reading list
We've selected nine 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 Analysis and Visualization with Python.
Provides a comprehensive guide to data visualization with Python and Matplotlib, a popular Python library for data visualization. It is particularly useful for those who want to learn how to create high-quality data visualizations.
Provides a comprehensive guide to data analysis with Python, including data manipulation, analysis, and visualization. It is particularly useful for those who want to learn the fundamentals of data analysis with Python.
Provides a comprehensive overview of machine learning with Python, including supervised learning, unsupervised learning, and deep learning. It is particularly useful for those who want to learn the fundamentals of machine learning with Python.
Provides a comprehensive overview of natural language processing with Python, including text preprocessing, text classification, and text generation. It is particularly useful for those who want to learn the fundamentals of natural language processing with Python.
Provides a comprehensive overview of deep learning with Python, including convolutional neural networks, recurrent neural networks, and generative adversarial networks. It is particularly useful for those who want to learn the fundamentals of deep learning with Python.
Provides a comprehensive overview of Python for finance, including financial data analysis, financial modeling, and financial risk management. It is particularly useful for those who want to learn the fundamentals of finance with Python.
Provides a comprehensive overview of Python for web development, including web frameworks, web servers, and web security. It is particularly useful for those who want to learn the fundamentals of web development with Python.
Save
Provides a comprehensive overview of Python for software development, including software design, software testing, and software deployment. It is particularly useful for those who want to learn the fundamentals of software development with Python.
Provides a comprehensive overview of Python for big data, including data storage, data processing, and data analysis. It is particularly useful for those who want to learn the fundamentals of big data with Python.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nj877o/data
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Level
Introductory
Via
Coursera
Institution
Arizona State University
Instructors
Adwith Malpe
Steven Osburn
Language
English
This course belongs to a
collection
called
Python: A Guided Journey from Introduction to Application. It's comprised of three courses:
- Data Analysis and Visualization with Python (viewing)
- Introduction to Machine Learning with Python
- Object-Oriented Programming and GUI with Python
Good to know
Provides a solid foundation in programming concepts and data manipulation for novice learners
Taught by instructors with expertise in their field, ensuring high-quality content
Students will learn essential data analysis skills using industry-standard libraries and tools
Covers a wide range of data structures, providing a comprehensive understanding of data organization
Introduces exception handling for managing errors and ensuring code robustness
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