Introduction to Data Science 專項課程

於 Jul 30 開始

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:

courses
4 courses

按照建議的順序或選擇您自己的順序。

projects
項目

旨在幫助您實踐和應用所學到的技能。

certificates
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.
  1. 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
  2. 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
  3. 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
  4. 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

製作方

  • IBM

    Making Smarter Real Industry by Industry

    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.

  • Polong Lin

    Polong Lin

    Data Scientist
  • Alex Aklson

    Alex Aklson

    Ph.D., Data Scientist
  • Rav Ahuja

    Rav Ahuja

    Data Science Program Manager
  • Hima Vasudevan

    Hima Vasudevan

    Data Scientist

FAQs