Заключительный курс по теме «Прикладная наука о данных» from Coursera

Этот заключительный курс позволит получить представление о том, как аналитики данных работают с данными в реальных условиях. Вы узнаете о данных о местоположении и различных поставщиках данных о местоположении, таких как Foursquare. Изучите принцип обращения REST API к Foursquare API для получения данных о местах проведения мероприятий в различных районах в любой стране мира. Также вы узнаете о творческом подходе, применяемом в случае недоступности данных и позволяющем выполнить извлечение данных из Интернета и посредством анализа HTML-кода. Вы будете применять Python и библиотеку Pandas для работы с данными, что поможет вам усовершенствовать навыки изучения и анализа данных. В конце вы сможете пользоваться библиотекой Folium для улучшения карт геопространственных данных и для предоставления своих результатов и выводов. Если вы пройдете этот курс и получите сертификат Coursera, вы также можете получить цифровой значок IBM. ОГРАНИЧЕННОЕ ПРЕДЛОЖЕНИЕ: приобретите подписку всего за 39 долл. США в месяц и получите доступ к упорядоченным по уровням материалам и сертификат по окончании курса.

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Know what's good

, what to watch for

, and possible dealbreakers

Explores hands-on labs and interactive experiences for a more dynamic learning environment

Examines tools and programming languages that are highly relevant to the data analysis industry, such as Python and Pandas

Provides a comprehensive look at data extraction techniques from various data sources, including Foursquare and HTML code

Develops skills in data cleaning, analysis, and visualization using industry-standard tools and libraries

Offers a unique opportunity to obtain an IBM digital badge upon successful completion of the course

Requires a paid subscription for full access to materials and certification

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 Заключительный курс по теме «Прикладная наука о данных» with these activities:

Complete Readiness Assessment

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Evaluates your existing knowledge about Python and Pandas, prepping you for success in this course.

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Organize Course Resources

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Ensures you have easy access to all relevant course materials, enhancing your learning experience.

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Create a dedicated folder or digital workspace for the course.
Organize and store lecture notes, assignments, and any additional resources in the designated space.

Read 'Data Science for Business'

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Provides a comprehensive foundation for Data Science concepts and their practical applications in a business context.

View Data Science for Business: What You Need to... on Amazon

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Obtain the book 'Data Science for Business' by Foster Provost and Tom Fawcett.
Read and study the book thoroughly.

Four other activities

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Explore Foursquare API Documentation

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Provides a deeper understanding of the Foursquare API, enabling you to effectively retrieve location data.

Browse courses on Foursquare API

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Review the Foursquare API documentation.
Follow tutorials on using the Foursquare API with Python.

Practice Coding in Python and Pandas

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Reinforces your understanding of Python and Pandas concepts through hands-on exercises.

Browse courses on Python

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Solve coding challenges on platforms like HackerRank or LeetCode.
Create your own Python and Pandas scripts to analyze data.

Attend Data Science Meetups

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Connects you with professionals in the Data Science field, fostering knowledge sharing and networking opportunities.

Browse courses on Data Science

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Identify local Data Science meetups through platforms like Meetup.com.
Attend meetups to network with other Data Scientists and industry experts.

Build a Geospatial Data Visualization

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Demonstrates your ability to present geospatial data effectively, enhancing your visual analysis skills.

Browse courses on Geospatial Data

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Gather geospatial data using the Foursquare API or other sources.
Use Folium or other libraries to visualize the data on a map.
Create an interactive dashboard or presentation to showcase your findings.

Career center

Learners who complete Заключительный курс по теме «Прикладная наука о данных» will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make better decisions. They use their knowledge of statistics, programming, and data visualization to identify trends, patterns, and insights in data. This course can help you become a Data Analyst by providing you with the skills you need to collect, clean, and analyze data, as well as develop and deploy data visualization dashboards.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their knowledge of data analysis, machine learning, and statistics to solve business problems. The insights they provide can help companies optimize operations, improve marketing campaigns, and develop new products. This course can help you become a Data Scientist by providing you with the skills you need to collect, clean, and analyze data, as well as develop and deploy machine learning models.

See salaries and explore the career path for Data Scientist

Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make better decisions. They use their knowledge of data analysis, business intelligence tools, and data visualization to identify trends, patterns, and insights in data. This course can help you become a Business Intelligence Analyst by providing you with the skills you need to collect, clean, and analyze data, as well as develop and deploy data visualization dashboards.

See salaries and explore the career path for Business Intelligence Analyst

Machine Learning Engineer

Machine Learning Engineers design, build, and deploy machine learning models. They use their knowledge of machine learning algorithms, programming, and cloud computing to develop models that can predict outcomes, classify data, and make recommendations. This course can help you become a Machine Learning Engineer by providing you with the skills you need to develop and deploy machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers design, build, and maintain data pipelines. They use their knowledge of data engineering tools and technologies to move data from various sources into a central repository where it can be used for analysis. This course can help you become a Data Engineer by providing you with the skills you need to design and build data pipelines.

See salaries and explore the career path for Data Engineer

Web Developer

Web Developers design, develop, and maintain websites. They use their knowledge of HTML, CSS, JavaScript, and web development frameworks to build websites that are both functional and visually appealing. This course may be useful if you are interested in a career as a Web Developer by providing you with the skills you need to develop websites.

See salaries and explore the career path for Web Developer

Financial Analyst

Financial Analysts use data to make investment decisions. They use their knowledge of financial modeling, valuation, and risk management to analyze companies and make recommendations on whether to buy, sell, or hold stocks. This course may be useful if you are interested in a career as a Financial Analyst by providing you with the skills you need to analyze companies and make investment decisions.

See salaries and explore the career path for Financial Analyst

Product Manager

Product Managers lead the development and launch of new products. They use their knowledge of product development, marketing, and sales to ensure that products meet the needs of the market and are successful. This course may be useful if you are interested in a career as a Product Manager by providing you with the skills you need to develop and launch new products.

See salaries and explore the career path for Product Manager

Operations Manager

Operations Managers plan and execute operations. They use their knowledge of operations management, process improvement, and quality control to ensure that operations are efficient and effective. This course may be useful if you are interested in a career as an Operations Manager by providing you with the skills you need to plan and execute operations.

See salaries and explore the career path for Operations Manager

Marketing Manager

Marketing Managers plan and execute marketing campaigns. They use their knowledge of marketing principles, market research, and advertising to develop campaigns that reach the target audience and achieve the desired results. This course may be useful if you are interested in a career as a Marketing Manager by providing you with the skills you need to develop and execute marketing campaigns.

See salaries and explore the career path for Marketing Manager

Data Science Manager

Data Science Managers lead teams of data scientists and data engineers. They use their knowledge of data science, project management, and business to ensure that data science projects are successful. This course may be useful if you are interested in a career as a Data Science Manager by providing you with the skills you need to lead data science teams.

See salaries and explore the career path for Data Science Manager

Project Manager

Project Managers plan, execute, and close projects. They use their knowledge of project management methodologies, risk management, and stakeholder management to ensure that projects are successful. This course may be useful if you are interested in a career as a Project Manager by providing you with the skills you need to plan and execute projects.

See salaries and explore the career path for Project Manager

Sales Manager

Sales Managers lead teams of salespeople. They use their knowledge of sales techniques, customer relationship management, and market research to develop sales strategies that achieve the desired results. This course may be useful if you are interested in a career as a Sales Manager by providing you with the skills you need to lead sales teams.

See salaries and explore the career path for Sales Manager

Business Analyst

Business Analysts use data to help businesses make better decisions. They use their knowledge of data analysis, business processes, and technology to identify opportunities for improvement and develop solutions that meet the needs of the business. This course may be useful if you are interested in a career as a Business Analyst by providing you with the skills you need to analyze data and develop solutions for business problems.

See salaries and explore the career path for Business Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages, software engineering principles, and cloud computing to build applications that meet the needs of users. This course may be useful if you are interested in a career as a Software Engineer by providing you with the skills you need to develop software applications.

See salaries and explore the career path for Software Engineer

Заключительный курс по теме «Прикладная наука о данных»

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