Applied Data Science Specialization

Starts Jul 30

Applied Data Science Specialization

Get hands-on skills for a Career in Data Science. Learn Python, analyze and visualize data. Apply your skills to data science and machine learning.

About This Specialization

This is an action-packed specialization is for data science enthusiasts who want to acquire practical skills for real world data problems. It appeals to anyone interested in pursuing a career in Data Science, and already has foundational skills (or has completed the Introduction to Applied Data Science specialization). You will learn Python - no prior programming knowledge necessary. You will then learn data visualization and data analysis. Through our guided lectures, labs, and projects you’ll get hands-on experience tackling interesting data problems. Make sure to take this specialization to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning. Upon completing all courses in the specialization and receiving the Specialization certificate, you will also receive an IBM Badge recognizing you as a Specialist in Applied Data Science.

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

    Python for Data Science

    Upcoming session: Jul 30
    Subtitles
    English

    About the Course

    This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. Module 1 - Python Basics •
  2. COURSE 2

    Data Visualization with Python

    Upcoming session: Jul 30
    Commitment
    3 weeks of study, 4-5 hours/week
    Subtitles
    English

    About the Course

    "A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential rol
  3. COURSE 3

    Data Analysis with Python

    Upcoming session: Jul 30
    Commitment
    This course requires approximately two hours a week for six weeks
    Subtitles
    English

    About the Course

    Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaning
  4. COURSE 4

    Applied Data Science Capstone

    Current session: Jul 16
    Commitment
    5 weeks of study, 6-7 hours/week
    Subtitles
    English

    About the Course

    This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will learn about location data and different location data providers, such as Foursquare. You will learn how to make RES

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.

  • Joseph Santarcangelo

    Joseph Santarcangelo

    Ph.D., Data Scientist at IBM
  • Alex Aklson

    Alex Aklson

    Ph.D., Data Scientist
  • Rav Ahuja

    Rav Ahuja

    Data Science Program Manager

FAQs