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!
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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 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. This Specialization can also be applied toward the IBM Data Science Professional Certificate.
This program is ACE® recommended—when you complete, you can earn up to 12 college credits.
What's inside
Five courses
Python for Data Science, AI & Development
(0 hours)
Python for Data Science, AI & Development
(0 hours)
Python Project for Data Science
Python Project for Data Science
Data Analysis with Python
Data Analysis with Python
Data Visualization with Python
(0 hours)
Data Visualization with Python
(0 hours)
Applied Data Science Capstone
(3 hours)
Applied Data Science Capstone
(3 hours)Learning objectives
- Develop an understanding of python fundamentals
- Gain practical python skills and apply them to data analysis
- Communicate data insights effectively through data visualizations
- Create a project demonstrating your understanding of applied data science techniques and tools
- Develop an understanding of python fundamentals
- Gain practical python skills and apply them to data analysis
- Communicate data insights effectively through data visualizations
- Create a project demonstrating your understanding of applied data science techniques and tools
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