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.
Ce cours fait partie de la Spécialisation IBM Data Science Professional Certificate
Open Source tools for Data Science
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
1Introducing 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 vidéos (Total 14 min), 4 quiz
4 vidéos
Account features4 min
Creating an account1 min
Managing data within My Data3 min
2 exercices pour s'entraîner
Practice Quiz2 min
Quiz 1 - Cognitive Class Labs30 min
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 vidéos (Total 6 min), 4 quiz
1 exercice pour s'entraîner
Quiz 2 - Jupyter Notebooks30 min
Semaine
2Apache Zeppelin Notebooks
This week, you will learn about Apache Zeppelin Notebooks, its feature, and how they are different from Jupyter Notebooks.
3 vidéos (Total 11 min), 3 quiz
1 exercice pour s'entraîner
Quiz 3 - Zeppelin Notebooks30 min
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 vidéos (Total 12 min), 3 quiz
4 vidéos
What is RStudio IDE?1 min
Uploading files, Installing packages and loading libraries in RStudio IDE3 min
Getting started with RStudio IDE4 min
RStudio Environment and History3 min
1 exercice pour s'entraîner
Quiz 4 - RStudio IDE30 min
Semaine
3IBM 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 vidéos (Total 10 min), 2 lectures, 2 quiz
4 vidéos
Creating an account on IBM Watson Studio (Data Science Experience)1 min
Jupyter notebooks on Watson Studio (Data Science Experience) - Part 1/23 min
Jupyter Notebooks on IBM Watson Studio (Data Science Experience) - Part 2/24 min
2 lectures
Preface: What is IBM Watson Studio (formerly Data Science Experience)?5 min
Lab - IBM Watson Studios
1 exercice pour s'entraîner
Quiz 5 - IBM Watson Studio30 min
Project: Create and share a Jupyter Notebook
1 lecture, 1 quiz
1 lecture
IBM Digital Badge2 min
4.6
300 avis30%
a commencé une nouvelle carrière après avoir terminé ces cours
31%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
24%
a obtenu une augmentation de salaire ou une promotion
Meilleurs avis
par TJ•Sep 19th 2018
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.
par HN•Aug 19th 2018
An invaluable hands-on provision. I feel as though I am adequately hatted with the basic skills and equipped with the efficient tools for my next steps in pursuing Data Science.
Enseignant
Polong Lin
Data ScientistIBM Developer Skills Network
À propos de 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.
À propos de la Spécialisation IBM Data Science Professional Certificate
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.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à ce Certificat ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours du Certificat, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
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