Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge. You will utilize tools like Jupyter, Zeppelin, R Studio and Watson Studio. You will also work with real-world data sets and query them using SQL from Jupyter notebooks.
Spécialisation Introduction to Data Science
Launch your career in Data Science. Data Science skills to prepare for a career or further advanced learning in Data Science.
À propos de cette Spécialisation
In this Specialization learners will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists. It will teach you about methodology involved in tackling data science problems. The specialization also provides knowledge of relational database concepts and the use of SQL to query databases. Learners will complete hands-on labs and projects to apply their newly acquired skills and knowledge.
Upon receiving the certificate for completion of the specialization, you will also receive an IBM Badge as a Specialist in Data Science Foundations.
LIMITED TIME OFFER: Subscription is only $39 USD per month and gives you access to graded materials and a certificate.
Créé par :
4 courses
Suivez l'ordre suggéré ou choisissez le vôtre.
Projets
Conçu pour vous aider à vous exercer et à appliquer les compétences que vous avez acquises.
Certificats
Mettez en évidence vos nouvelles compétences sur votre CV ou sur LinkedIn.
Vue d'ensemble des projets
Cours
- Beginner Specialization.
- No prior experience required.
COURS 1
What is Data Science?
- Engagement
- 3 weeks of study, 2-3 hours/week
- Sous-titres
- English
À propos du cours
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. SinVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 2
Open Source tools for Data Science
- Engagement
- 3 weeks of study, 2-3 hours/week
- Sous-titres
- English
À propos du cours
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 toolVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 3
Data Science Methodology
- Engagement
- 3 weeks of study, 2 - 3 hours/week
- Sous-titres
- English
À propos du cours
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understandinVous pouvez choisir de suivre seulement ce cours. En savoir plus.
COURS 4
Databases and SQL for Data Science
- Engagement
- 3-4 weeks of study, 2-4 hours/week.
- Sous-titres
- English
À propos du cours
Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want toVous pouvez choisir de suivre seulement ce cours. En savoir plus.
Créateurs
Polong Lin
Data Scientist
Alex Aklson
Ph.D., Data Scientist
Rav Ahuja
Data Science Program Manager
FAQs
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