Introduction to Applied Data Science 专项课程

开始日期 Apr 23

Introduction to Applied Data Science 专项课程

Launch your career in Data Science。Data Science skills to prepare for a career or further advanced learning in Data Science.

本专项课程介绍

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 them 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.

制作方:

courses
4 courses

按照建议的顺序或选择您自己的顺序。

projects
项目

旨在帮助您实践和应用所学到的技能。

certificates
证书

在您的简历和领英中展示您的新技能。

项目概览

课程
Beginner Specialization.
No prior experience required.
  1. 第 1 门课程

    What is Data Science?

    当前班次:Apr 23
    课程学习时间
    3 weeks of study, 2-3 hours/week
    字幕
    English

    课程概述

    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 门课程

    Open Source tools for Data Science

    当前班次:Apr 23
    课程学习时间
    3 weeks of study, 2-3 hours/week
    字幕
    English

    课程概述

    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 门课程

    Data Science Methodology

    当前班次:Apr 23
    课程学习时间
    3 weeks of study, 2 - 3 hours/week
    字幕
    English

    课程概述

    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 门课程

    Databases and SQL for Data Science

    于 30 April 2018 开始
    课程学习时间
    3 weeks of study, 2-4 hours/week.
    字幕
    English

    课程概述

    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 introduce relational database concepts and help you learn and apply knowledge of the SQL language. Learners will also practice building and running SQL queries hands-on using a cloud-based environment as well as learn how to access databases from Jupyter notebooks using Python.

制作方

  • 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

    Data Scientist
  • Rav Ahuja

    Rav Ahuja

    Data Science Program Manager
  • Hima Vasudevan

    Hima Vasudevan

    Data Scientist

FAQs