About this course: 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.
Who is this class for: This course is aimed any anyone in Data Science and has little or no knowledge about the tools used by Data Scientists.
Created by: IBM
Taught by: Polong Lin, Data Scientist
| Basic Info | Course 2 of 4 in the Introduction to Applied Data Science Specialization |
| Level | Beginner |
| Commitment | 3 weeks of study, 2-3 hours/week |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
Syllabus
WEEK 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 videos, 1 practice quiz
- Video: Account features
- Video: Creating an account
- Video: Managing data within My Data
- Elemento LTI: Lab - Getting Started with Cognitive Class Labs
- Elemento LTI: Lab - Exploring My Data on Cognitive Class Labs
- Cuestionario de práctica: Practice Quiz
Graded: 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 videos
- Video: Getting started with Jupyter
- Video: Data and Notebooks in Jupyter
- Video: Sharing your Notebooks and Data
- Elemento LTI: Lab - Jupyter Notebooks - The Basics
- Elemento LTI: Lab - Jupyter Notebooks - More Features
- Elemento LTI: Lab - Jupyter Notebooks - Advanced Features
- Cuadro de aviso de la discusión: Interesting Jupyter Notebooks on the Internet
Graded: Quiz 2 - Jupyter Notebooks
WEEK 2
Apache Zeppelin Notebooks
This week, you will learn about Apache Zeppelin Notebooks, its feature, and how they are different from Jupyter Notebooks.
3 videos
- Video: Zeppelin for Scala
- Video: Getting started with Zeppelin
- Elemento LTI: Lab - Zeppelin Notebooks - The Basics
- Elemento LTI: Lab - Zeppelin Notebooks - Tutorial
Graded: 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 videos
- Video: Uploading files, Installing packages and loading libraries in RStudio IDE
- Video: Getting started with RStudio IDE
- Video: RStudio Environment and History
- Elemento LTI: Lab - RStudio - The Basics
- Elemento LTI: Lab - RStudio - Creating an interactive map in R
Graded: Quiz 4 - RStudio IDE
WEEK 3
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 videos, 2 readings
- Leyendo: Preface: What is IBM Data Science Experience?
- Video: Creating an account on IBM Data Science Experience
- Video: Jupyter notebooks on Data Science Experience - Part 1/2
- Video: Jupyter Notebooks on Data Science Experience - Part 2/2
- Leyendo: Lab - IBM Data Science Experience
Graded: Quiz 5 - IBM Data Science Experience
Project: Create and share a Jupyter Notebook
Graded: Create and share your Jupyter Notebook
FAQs
How It Works
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
Creators
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.
Pricing
| Purchase Course | |
|---|---|
| Access to course materials | Available |
| Access to graded materials | Available |
| Receive a final grade | Available |
| Earn a shareable Course Certificate | Available |
Ratings and Reviews
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