web analytics

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.

This action-packed Specialization is for data science enthusiasts who want to acquire practical skills for real world data problems. If you’re interested in pursuing a career in data science, and already have foundational skills or have completed the Introduction to Data Science Specialization, this program is for you!

This 4-course Specialization will give you the tools you need to analyze data and make data driven business decisions leveraging computer science and statistical analysis. You will learn Python–no prior programming knowledge necessary–and discover methods of data analysis and data visualization. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making.

Through guided lectures, labs, and projects in the IBM Cloud, you’ll get hands-on experience tackling interesting data problems from start to finish. Take this Specialization to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning.

In addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing you as a specialist in applied data science.

This Specialization can also be applied toward the IBM Data Science Professional Certificate.

Applied Learning Project

Complete hands-on labs and projects in the IBM Cloud by applying your newly acquired skills and knowledge throughout the Specialization. Projects include creating a random album generator, building a machine learning model, and analyzing geospatial data.

Course Information

Estimated Time: Approximately 6 months to complete with the suggested pace of 3 hours/week

Free

Enroll

Course Information

Estimated Time: Approximately 6 months to complete with the suggested pace of 3 hours/week