關於此課程：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.
此課程適用人群：This course is aimed any anyone in Data Science and has little or no knowledge about the tools used by Data Scientists.
製作方： IBM
教學方： Polong Lin, Data Scientist
| 基本信息 | 課程 2（共 4 門，Introduction to Data Science Specialization ） |
| 級別 | 初級 |
| 承諾學習時間 | 3 weeks of study, 2-3 hours/week |
| 語言 | English |
| 如何通過 | 通過所有計分作業以完成課程。 |
| 用戶評分 |
授課大綱
第 1 週
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 個視頻, 1 個練習測驗
- 視頻: Account features
- 視頻: Creating an account
- 視頻: 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
已評分: 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.
4 個視頻
- 視頻: Getting started with Jupyter
- 視頻: Data and Notebooks in Jupyter
- 視頻: Sharing your Notebooks and Data
- 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
已評分: Quiz 2 - Jupyter Notebooks
第 2 週
Apache Zeppelin Notebooks
This week, you will learn about Apache Zeppelin Notebooks, its feature, and how they are different from Jupyter Notebooks.
3 個視頻
- 視頻: Zeppelin for Scala
- 視頻: Getting started with Zeppelin
- LTI Item: Lab - Zeppelin Notebooks - The Basics
- LTI Item: Lab - Zeppelin Notebooks - Tutorial
已評分: 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 個視頻
- 視頻: Uploading files, Installing packages and loading libraries in RStudio IDE
- 視頻: Getting started with RStudio IDE
- 視頻: RStudio Environment and History
- LTI Item: Lab - RStudio - The Basics
- LTI Item: Lab - RStudio - Creating an interactive map in R
已評分: Quiz 4 - RStudio IDE
第 3 週
IBM Data Science Experience
This week, you will learn about an enterprise-ready data science platform by IBM, called Data Science Experience. You'll learn about some of the features and capabilities of what data scientists use in the industry.
4 個視頻, 2 個閱讀材料
- Reading: Preface: What is IBM Data Science Experience?
- 視頻: Creating an account on IBM Data Science Experience
- 視頻: Jupyter notebooks on Data Science Experience - Part 1/2
- 視頻: Jupyter Notebooks on Data Science Experience - Part 2/2
- Reading: Lab - IBM Data Science Experience
已評分: Quiz 5 - IBM Data Science Experience
Project: Create and share a Jupyter Notebook
1 個閱讀材料
- Reading: IBM Digital Badge
已評分: Create and share your Jupyter Notebook
常見問題解答
運作方式
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.
製作方
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.
價格
| 購買課程 | |
|---|---|
| 訪問課程材料 | 可用 |
| 訪問評分的材料 | 可用 |
| 收到最終成績 | 可用 |
| 獲得可共享的課程證書 | 可用 |
評分和審閱
Adequate time and information (particularly step by step with screenshots for setup of notebook etc.) was provided in the video and related printed material. This is unlike other courses that I've take so far. So definitely appreciate the instructors and others who helped in creating the material. Although some of the DSX and Dev Cognitive Lab screenshots and steps were outdated due to the new version available, but the helpdesk of IBM was quick to respond.
Super useful tools and tutorials that answered my questions for a year!