Профессиональная сертификация: общие сведения

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.

Гибкий график

Установите гибкие сроки сдачи заданий.

Начальный уровень

Прибл. 2 месяца на выполнение

Около 12 ч/неделю

Английский

Субтитры: Английский, Арабский, Немецкий...

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.

Гибкий график

Установите гибкие сроки сдачи заданий.

Начальный уровень

Прибл. 2 месяца на выполнение

Около 12 ч/неделю

Английский

Субтитры: Английский, Арабский, Немецкий...

Профессиональная сертификация: принцип работы

Пройти курсы

Программа профессиональной сертификации — это серия онлайн-курсов, помогающих овладеть определенной профессией. Некоторые программы профессиональной сертификации дают возможность начать карьеру в конкретной сфере, например в ИТ-поддержке, а другие — сдать отраслевой экзамен. Чтобы приступить к обучению, зарегистрируйтесь в программе или выберите курс, с которого хотите начать. Подписываясь на курс, который входит в программу профессиональной сертификации, вы автоматически подписываетесь на всю программу. Можно завершить всего один курс, а потом сделать паузу в обучении или в любой момент отменить подписку. Отслеживайте свои курсы и прогресс на панели управления учащегося.

Получите сертификат

Пройдя все курсы, вы получите электронный сертификат, который можно сразу добавить в резюме или профиль LinkedIn.

how it works

Профессиональная сертификация включает несколько курсов: 9

Курс1

What is Data Science?

4.6
Оценки: 6,463
Рецензии: 1,032
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....
Курс2

Open Source tools for Data Science

4.6
Оценки: 3,608
Рецензии: 470
What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....
Курс3

Data Science Methodology

4.6
Оценки: 2,680
Рецензии: 268
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand. This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. Accordingly, in this course, you will learn: - The major steps involved in tackling a data science problem. - The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. - How data scientists think! LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....
Курс4

Python for Data Science

4.6
Оценки: 2,852
Рецензии: 383
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. Module 1 - Python Basics o Your first program o Types o Expressions and Variables o String Operations Module 2 - Python Data Structures o Lists and Tuples o Sets o Dictionaries Module 3 - Python Programming Fundamentals o Conditions and Branching o Loops o Functions o Objects and Classes Module 4 - Working with Data in Python o Reading files with open o Writing files with open o Loading data with Pandas o Numpy Finally, you will create a project to test your skills. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Преподаватели

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Joseph Santarcangelo

Ph.D., Data Scientist at IBM
IBM Developer Skills Network
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Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network
Avatar

Rav Ahuja

Data Science Program Manager
IBM
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SAEED AGHABOZORGI

Ph.D., Sr. Data Scientist
IBM Developer Skills Network
Avatar

Polong Lin

Data Scientist
IBM Developer Skills Network

О IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

Часто задаваемые вопросы

  • Да! Чтобы начать, нажмите карточку интересующего вас курса и зарегистрируйтесь. Зарегистрировавшись, вы можете пройти курс, чтобы получить сертификат, ссылкой на который можно делиться с другими людьми. Просто ознакомиться с содержанием курса можно бесплатно. При подписке на курс, входящий в сертификацию, вы автоматически подписываетесь на всю сертификацию. Ход учебы можно отслеживать в панели управления учащегося.

  • Это полностью дистанционный курс, потому вам не нужно ничего посещать. Все лекции, материалы для самостоятельного изучения и задания доступны всегда и везде по Интернету и с мобильных устройств.

  • The certificate requires completion of 9 courses. Each course typically contains 3-6 modules with an average effort of 2 to 4 hours per module. If learning part-time (e.g. 1 module per week), it would take 6 to 12 months to complete the entire certificate. If learning full-time (e.g. 1 module per day) the certificate can be completed in 2 to 3 months.

  • This certificate is open for anyone with any job and academic background. No prior computer programming experience is necessary, but is an asset. Familiarity working with computers, high school math, communication and presentation skills. For the last few courses knowledge of Calculus and Linear Algebra is an asset but not an absolute requirement.

  • Yes, it is highly recommended to take the courses in the order they are listed, as they progressively build on concepts taught in previous courses. For example the Data Visualization, Python and Machine Learning courses require knowledge of Python.

  • No, there is no University credits involved with taking these courses.

  • Become job ready for a career in Data Science. Develop practical skills using hands-on labs in Cloud environments, projects and captsones.

  • If you have already completed some of the courses in this Professional Certificate, either individually or as part of another specialization, they will be marked as "Complete". So you do not have to take those courses again and will be able to finish the Professional Certificate faster. You will only need to complete the courses that you have not yet completed.

  • Yes, absolutely. Any courses that you have already completed as part of that Specialization will be marked as "Complete". So you do not have to take those courses again and will be able to finish the Professional Certificate faster.

  • This Professional Certificate consists of 9 courses. The "Introduction to Data Science" Specialization has 4 courses, all of which are also included in this Professional Certificate.

    If you are unsure about your ability to commit to the level of effort and time required to complete this Professional Certificate, we recommend starting with the Introduction to Data Science Specialization, which has fewer courses. And if after earning the specialization certificate you are still determined to continue building your Data Science skills, you can then enroll for this Professional Certificate and then just complete the courses that are not in the specialization.

  • Yes, absolutely. Any courses that you have already completed as part of that Specialization will be marked as "Complete". So you do not have to take those courses again and will be able to finish this Professional Certificate faster.

  • As a Coursera learner who completes the Data Science Professional certificate, you will have special access to join IBM’s Talent Network. Our Talent Network members receive all of the tools you need to land a dream job with IBM - sent directly to your inbox! You will get job opportunities as soon as they are posted, recommendations to apply matched directly to your skills and interests, and tips and tricks to help you stand apart from the crowd.

  • As a Coursera learner who completes this Professional Certificate, you will have special access to join IBM’s Talent Network. Our Talent Network members receive all of the tools you need to land a dream job with IBM - sent directly to your inbox! You will get job opportunities as soon as they are posted, recommendations to apply matched directly to your skills and interests, and tips and tricks to help you stand apart from the crowd.

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