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.

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4 courses

Follow the suggested order or choose your own.

Projects

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

Certificates

Highlight your new skills on your resume or LinkedIn.

Projects Overview

You will complete hands-on labs and projects to apply and demonstrate your newly acquired skills and knowledge. For example the Python course includes a project to create a random album generator. The specialization Capstone involves a Battle of Neighborhoods using geospatial data and building a machine learning model.

Courses

Advanced Specialization.: Designed for those already in the industry.

COURSE 1
Python for Data Science
Current session: May 21
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 •
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COURSE 2
Data Visualization with Python
Current session: May 21
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
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COURSE 3
Data Analysis with Python
Current session: May 21
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
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COURSE 4
Applied Data Science Capstone
Starts July 2018
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 why data cleaning and munging is an important part of data science and how it occupies more than 80% of a data scientist’s daily work. You will learn about location data and different location data providers, such as Foursquare. You will learn how to make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world. You will also learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code. You will utilize python and pandas to manipulate data, which will help you help you refine your skills for analyzing data and creating interesting visuals. By the end of the first part of the course you would have compared different neighborhoods and shared your results. Data Scientists also need to be able to work with different kinds of machine learning techniques. In the second part of this course, you will build and apply a machine learning model using the geospatial data from the first part of the project as well as additional data sources, to investigate and attempt to predict neighborhood attributes using techniques like regression, decision trees, clustering, classification, etc. Storytelling and presentation is a very important part of a Data Scientist’s job. By the end of course you would have shared Jupyter notebooks of your implementation and written a detailed report describing your findings. You will also perform peer review of other’s projects.
You can choose to take this course only. Learn more.

Creators

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.