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.
Introduction to Data Science 專項課程
Launch your career in Data Science。 Data Science skills to prepare for a career or further advanced learning in Data Science.
本專項課程介紹
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.
製作方：
4 courses
按照建議的順序或選擇您自己的順序。
項目
旨在幫助您實踐和應用所學到的技能。
證書
在您的簡歷和領英中展示您的新技能。
項目概覽
課程
- Beginner Specialization.
- No prior experience required.
第 1 門課程
What is Data Science?
計劃開課班次：Jul 30- 課程學習時間
- 3 weeks of study, 2-3 hours/week
- 字幕
- English
課程概述
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. Since您可以選擇只參加本課程。 了解更多。
第 2 門課程
Open Source tools for Data Science
計劃開課班次：Jul 30- 課程學習時間
- 3 weeks of study, 2-3 hours/week
- 字幕
- English
課程概述
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您可以選擇只參加本課程。 了解更多。
第 3 門課程
Data Science Methodology
計劃開課班次：Jul 30- 課程學習時間
- 3 weeks of study, 2 - 3 hours/week
- 字幕
- English
課程概述
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 understanding o您可以選擇只參加本課程。 了解更多。
第 4 門課程
Databases and SQL for Data Science
計劃開課班次：Jul 30- 課程學習時間
- 3-4 weeks of study, 2-4 hours/week.
- 字幕
- English
課程概述
SQL is a powerful language which is used for communicating with databases. Before you step into the field of data science, it is vitally important that you set yourself apart by mastering the foundations of SQL. The purpose of this course is to intr您可以選擇只參加本課程。 了解更多。
製作方
Polong Lin
Data Scientist
Alex Aklson
Ph.D., Data Scientist
Rav Ahuja
Data Science Program Manager
Hima Vasudevan
Data Scientist
FAQs
More questions? Visit the Learner Help Center.
