Introduction to Data Science Specialization

Starts Aug 27

Introduction to Data Science Specialization

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

About This Specialization

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.

Created by:

courses
4 courses

Follow the suggested order or choose your own.

projects
Projects

Designed to help you practice and apply the skills you learn.

certificates
Certificates

Highlight your new skills on your resume or LinkedIn.

Projects Overview

Courses
Beginner Specialization.
No prior experience required.
  1. COURSE 1

    What is Data Science?

    Upcoming session: Aug 27
    Commitment
    3 weeks of study, 2-3 hours/week
    Subtitles
    English

    About the Course

    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. Sin
  2. COURSE 2

    Open Source tools for Data Science

    Upcoming session: Aug 27
    Commitment
    3 weeks of study, 2-3 hours/week
    Subtitles
    English

    About the Course

    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
  3. COURSE 3

    Data Science Methodology

    Upcoming session: Aug 27
    Commitment
    3 weeks of study, 2 - 3 hours/week
    Subtitles
    English

    About the Course

    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 understandin
  4. COURSE 4

    Databases and SQL for Data Science

    Current session: Aug 13
    Commitment
    3-4 weeks of study, 2-4 hours/week.
    Subtitles
    English

    About the Course

    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 to

Creators

  • 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

FAQs