Об этом курсе: 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.
Для кого этот курс: This course is aimed any anyone in Data Science and has little or no knowledge about the tools used by Data Scientists.
Автор: IBM
Преподаватели: Polong Lin, Data Scientist
IBM Developer Skills Network
| Основные сведения | Курс 2 из 9 — IBM Data Science Professional Certificate Specialization |
| Уровень | Начинающий |
| Выполнение | 3 weeks of study, 2-3 hours/week |
| Язык | Английский |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
Introducing Cognitive Class Labs
This week, you will get an overview of the various data science tools available to you, hosted on Cognitive Class Labs. You will create an account and start exploring some of the features.
4 видео, 1 тренировочный тест
- Видео: Account features
- Видео: Creating an account
- Видео: Managing data within My Data
- LTI Item: Lab - Getting Started with Cognitive Class Labs
- LTI Item: Lab - Exploring My Data on Cognitive Class Labs
- Practice Quiz: Practice Quiz
Оцениваемый: Quiz 1 - Cognitive Class Labs
Jupyter Notebooks
This week, you will learn about a popular data science tool, Jupyter Notebooks, its features, and why they are so popular among data scientists today.
2 видео
- Видео: Getting started with Jupyter Notebooks
- LTI Item: Lab - Jupyter Notebooks - The Basics
- LTI Item: Lab - Jupyter Notebooks - More Features
- LTI Item: Lab - Jupyter Notebooks - Advanced Features
- Discussion Prompt: Interesting Jupyter Notebooks on the Internet
Оцениваемый: Quiz 2 - Jupyter Notebooks
НЕДЕЛЯ 2
Apache Zeppelin Notebooks
This week, you will learn about Apache Zeppelin Notebooks, its feature, and how they are different from Jupyter Notebooks.
3 видео
- Видео: Zeppelin for Scala
- Видео: Getting started with Zeppelin
- LTI Item: Lab - Zeppelin Notebooks - The Basics
- LTI Item: Lab - Zeppelin Notebooks - Tutorial
Оцениваемый: Quiz 3 - Zeppelin Notebooks
RStudio IDE
This week, you will learn about a popular data science tool used by R programmers. You'll learn about the user interface and how to use its various features.
4 видео
- Видео: Uploading files, Installing packages and loading libraries in RStudio IDE
- Видео: Getting started with RStudio IDE
- Видео: RStudio Environment and History
- LTI Item: Lab - RStudio - The Basics
- LTI Item: Lab - RStudio - Creating an interactive map in R
Оцениваемый: Quiz 4 - RStudio IDE
НЕДЕЛЯ 3
IBM Watson Studio
This week, you will learn about an enterprise-ready data science platform by IBM, called Watson Studio (formerley known as Data Science Experience). You'll learn about some of the features and capabilities of what data scientists use in the industry.
4 видео, 2 материала для самостоятельного изучения
- Reading: Preface: What is IBM Watson Studio (formerly Data Science Experience)?
- Видео: Creating an account on IBM Watson Studio (Data Science Experience)
- Видео: Jupyter notebooks on Watson Studio (Data Science Experience) - Part 1/2
- Видео: Jupyter Notebooks on IBM Watson Studio (Data Science Experience) - Part 2/2
- Reading: Lab - IBM Watson Studio
- LTI Item: OPTIONAL: IBM Cloud Promo Code
Оцениваемый: Quiz 5 - IBM Watson Studio
Project: Create and share a Jupyter Notebook
1 материал для самостоятельного изучения
- Reading: IBM Digital Badge
Оцениваемый: Create and share your Jupyter Notebook
Часто задаваемые вопросы
Как это работает
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Авторы
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.
Стоимость
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Получите сертификат о прохождении курса, ссылкой на который можно делиться с другими людьми | Доступен |
Рейтинги и отзывы
Course content was good. May want to consider updating some of the videos as some of them do not match with what the IBM UI looks like now.
Nicely explains all the Open Source Tools, but not updated for the new Watson.
great!!!
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HG
Great.