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.
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 | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
- 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
- Видео: Getting started with Jupyter
- Видео: Data and Notebooks in Jupyter
- 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
- Видео: Zeppelin for Scala
- Видео: Getting started with Zeppelin
- LTI Item: Lab - Zeppelin Notebooks - The Basics
- LTI Item: Lab - Zeppelin Notebooks - Tutorial
- 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
- Reading: Preface: What is IBM Watson Studio (formerly known as 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
- Reading: IBM Digital Badge
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
| 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 |
Love it! It's such a gentle introduction to the tools of the trade as well as the languages we need to learn in order to use them. The labwork is my favorite part. The only way you can learn anything interactive like this is by diving in and trying things out, and now all I want to do is learn MORE.
Comprehensive but student-friendly introduction to common and popular open source tools for DS. Although tools are the most popular ones, the course relies too much on the IBM platforms, which kind of bind the students to the IBM products. Lectures in the first two weeks are a little bit dry.
Very amazing course, full of knowledge and easy to follow instructions...one of the best
The tools that this course introduces, are helpful and I will use them. But I think some of the explanations are too basic.