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.
提供方
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 3 小時
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 （總計 14 分鐘）, 4 個測驗
4 個視頻
Account features4分鐘
Creating an account1分鐘
Managing data within My Data3分鐘
2 個練習
Practice Quiz2分鐘
Quiz 1 - Cognitive Class Labs30分鐘
完成時間為 2 小時
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 個視頻 （總計 6 分鐘）, 4 個測驗
1 個練習
Quiz 2 - Jupyter Notebooks30分鐘
週
2完成時間為 3 小時
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 （總計 11 分鐘）, 3 個測驗
1 個練習
Quiz 3 - Zeppelin Notebooks30分鐘
完成時間為 3 小時
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 （總計 12 分鐘）, 3 個測驗
4 個視頻
Uploading files, Installing packages and loading libraries in RStudio IDE3分鐘
Getting started with RStudio IDE4分鐘
RStudio Environment and History3分鐘
1 個練習
Quiz 4 - RStudio IDE30分鐘
週
3完成時間為 4 小時
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 個視頻 （總計 10 分鐘）, 2 個閱讀材料, 2 個測驗
4 個視頻
Creating an account on IBM Watson Studio (Data Science Experience)1分鐘
Jupyter notebooks on Watson Studio (Data Science Experience) - Part 1/23分鐘
Jupyter Notebooks on IBM Watson Studio (Data Science Experience) - Part 2/24分鐘
2 個閱讀材料
Preface: What is IBM Watson Studio (formerly Data Science Experience)?5分鐘
Lab - IBM Watson Studio
1 個練習
Quiz 5 - IBM Watson Studio30分鐘
完成時間為 3 小時
Project: Create and share a Jupyter Notebook
1 個閱讀材料, 1 個測驗
1 個閱讀材料
IBM Digital Badge2分鐘
4.6
475 個審閱38%
完成這些課程後已開始新的職業生涯
37%
通過此課程獲得實實在在的工作福利
22%
加薪或升職
熱門審閱
All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.
Another Great class. Really introduces you to new tools that out there, not just for Data Scientist to use, but for anyone that has the use for R or Python coding etc. Loved the course.
講師
Polong Lin
Data ScientistIBM Developer Skills Network
關於 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.
關於 IBM 数据科学专业证书 專項課程
Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.
This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.
It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.
Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.
LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.
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