Визуализация данных с помощью Python from Coursera

«Лучше один раз увидеть, чем сто раз услышать». Всем нам знакомо это выражение. Оно справедливо и в случае, когда нужно объяснить выводы, полученные при анализе огромных наборов данных. Визуализация данных играет важную роль в представлении как мелких, так и крупных данных. Один из важнейших навыков аналитика данных — способность убедительно преподносить выводы, визуализируя данные и результаты в доступном и позитивном виде. Научитесь использовать программные инструменты для визуализации данных, и это поможет извлекать информацию, лучше понимать данные и принимать более разумные решения. Основная задача этого курса «Визуализация данных с помощью Python» — научить выбирать данные, которые на первый взгляд кажутся малозначимыми, и представлять их в том виде, в котором они будут иметь смысл. Для презентации данных существует множество методик, но в этом курсе мы будем использовать несколько библиотек визуализации на Python, в частности, Matplotlib, Seaborn и Folium. ОГРАНИЧЕННОЕ ПРЕДЛОЖЕНИЕ: приобретите подписку всего за 39 долл. США в месяц и получите доступ к упорядоченным по уровням материалам и сертификат по окончании курса.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Increases employability in the field of data analysis, in which professionals with data visualization skills are highly sought after

Helps learners create engaging and informative data visualizations that can be easily understood and shared

Builds a solid foundation in Python-based data visualization libraries, including Matplotlib, Seaborn, and Folium

Taught by experienced instructors in the field of data analysis and visualization

May require additional software or tools, which can incur costs for learners

Assumes a basic understanding of data analysis and Python programming

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 Визуализация данных с помощью Python with these activities:

Review Data Science Fundamentals

Show steps

Review essential Python skills that will be used in this course.

Browse courses on Python

Show steps

Revisit basic Python syntax (variables, data types, control flow).
Practice working with lists, tuples, and dictionaries.
Review basic statistical concepts such as mean, median, and standard deviation.

Explore Matplotlib Tutorials

Show steps

Familiarize yourself with the features and capabilities of Matplotlib, a popular Python library for data visualization.

Browse courses on Matplotlib

Show steps

Follow an online tutorial on the basics of Matplotlib.
Create your own simple visualizations using Matplotlib.
Explore the Matplotlib documentation to learn about more advanced features.

Practice Matplotlib exercises

Show steps

Sharpen plotting skills using Matplotlib, reinforcing knowledge of data visualization techniques.

Browse courses on Matplotlib

Show steps

Solve online Matplotlib exercises
Create custom visualizations from scratch

Six other activities

Expand to see all activities and additional details

Show all nine activities

Explore Seaborn tutorials

Show steps

Expand knowledge of data visualization techniques by following guided tutorials focused on the Seaborn library.

Browse courses on Seaborn

Show steps

Find relevant Seaborn tutorials
Follow the tutorials and implement examples

Data Visualization Exercises

Show steps

Reinforce your understanding of data visualization by practicing with real-world datasets.

Browse courses on Data Visualization

Show steps

Find a dataset online or create your own.
Visualize the data using Matplotlib.
Analyze the visualizations to identify trends and patterns.

Develop a Data Visualization Portfolio

Show steps

Create a portfolio to showcase your data visualization skills and enhance your employability.

Browse courses on Data Visualization

Show steps

Gather a collection of your best data visualizations.
Create a website or online portfolio to display your work.
Share your portfolio with potential employers or clients.

Develop a data visualization portfolio

Show steps

Showcase proficiency by compiling a portfolio of data visualizations that demonstrate various techniques learned in the course.

Browse courses on Data Presentation

Show steps

Select diverse datasets
Create visualizations using different Python libraries
Document the rationale and insights

Attend Data Science Meetups

Show steps

Connect with other data science professionals and learn about industry trends and best practices.

Browse courses on Data Science

Show steps

Find local Data Science meetups using Meetup.com or other platforms.
Attend meetups regularly to network with other data scientists.
Participate in discussions and ask questions to learn from others.

Mentor Junior Data Scientists

Show steps

Share your knowledge and expertise by mentoring junior data scientists.

Browse courses on Mentorship

Show steps

Identify a junior data scientist who would benefit from mentorship.
Set regular mentoring sessions to provide guidance and support.
Share your insights and experiences to help the mentee grow their skills and career.

Career center

Learners who complete Визуализация данных с помощью Python will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their knowledge of math, statistics, and computer science to solve complex business problems. The course, _Visualizing Data with Python,_ may be useful in the role of a Data Scientist because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts use data to help businesses make better decisions. The course, _Visualizing Data with Python,_ may be useful in the role of a Business Analyst because it teaches the participant how to communicate data insights to stakeholders.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use data to solve problems in a variety of fields, such as logistics, manufacturing, and healthcare. The course, _Visualizing Data with Python,_ may be useful in the role of an Operations Research Analyst because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians use data to solve problems in a variety of fields, such as medicine, finance, and manufacturing. The course, _Visualizing Data with Python,_ may be useful in the role of a Statistician because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Statistician

Data Analyst

A Data Analyst uses a variety of tools and techniques to clean, explore, and analyze data in order to identify trends, patterns, and insights. The course, _Visualizing Data with Python,_ may be useful in the role of a Data Analyst because it teaches the participant how to visualize data using multiple libraries, including Matplotlib, Seaborn, and Folium. These libraries help translate raw data into graphical representations for further analysis.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts use data to make recommendations about investments and financial planning. The course, _Visualizing Data with Python,_ may be useful in the role of a Financial Analyst because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Financial Analyst

Quantitative Analyst

Quantitative Analysts use data to make investment decisions. The course, _Visualizing Data with Python,_ may be useful in the role of a Quantitative Analyst because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use data to assess risk and make decisions about insurance and other financial products. The course, _Visualizing Data with Python,_ may be useful in the role of an Actuary because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Actuary

Market Researcher

Market Researchers collect and analyze data about consumers and markets. The course, _Visualizing Data with Python,_ may be useful in the role of a Market Researcher because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Market Researcher

Artificial Intelligence Engineer

Artificial Intelligence Engineers design and develop artificial intelligence systems. The course, _Visualizing Data with Python,_ may be useful in the role of an Artificial Intelligence Engineer because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Artificial Intelligence Engineer

Data Engineer

Data Engineers are responsible for designing, building, and maintaining the infrastructure that stores and processes data. The course, _Visualizing Data with Python,_ may be useful in the role of a Data Engineer because it teaches the participant how to build visualizations using Python.

See salaries and explore the career path for Data Engineer

Data Architect

Data Architects design and manage the architecture of data systems. The course, _Visualizing Data with Python,_ may be useful in the role of a Data Architect because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Data Architect

Software Engineer

Software Engineers design, develop, and maintain software applications. The course, _Visualizing Data with Python,_ may be useful in the role of a Software Engineer because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Software Engineer

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. The course, _Visualizing Data with Python,_ may be useful in the role of a Machine Learning Engineer because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Machine Learning Engineer

Database Administrator

Database Administrators design, build, and maintain databases. The course, _Visualizing Data with Python,_ may be useful in the role of a Database Administrator because it teaches the participant how to visualize data and communicate the results.

See salaries and explore the career path for Database Administrator