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About this Course Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries. This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career. This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs: IBM Applied AI Professional Certificate Applied Data Science Specialization IBM Data Science Professional Certificate Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field.

This is the repository for the Advanced Data Science with IBM Specialization in Coursera

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coursera - Advanced Data Science with IBM Specialization

Coursera Advanced Data Science with IBM Specialization

Repository for the specialization Advanced Data Science with IBM on Coursera

Fundamentals of Scalable Data Science, first module of the Advanced Data Science with IBM Specialization in Coursera.

This repository includes all the files for the Advance Data Science Capstone Project, which is the last course of the Coursera Specialization Program Advanced Data Science with IBM. Link: https://www.coursera.org/specializations/advanced-data-science-ibm#courses

In this repository you can find some of the exercises I developed for the courses of the Profesional Certificate of Advanced Data Science with IBM of Coursera platform, available at https://www.coursera.org/specializations/advanced-data-science-ibm

This project is part of the Coursera Advanced Data Science with IBM Specialization The following project aims to predict the AirBnB property prices in Singapore based on the data on 27 Feb 2020.

Coursera IBM Advanced Data Science Specialization-Capstone Project. In this project, plant power output of a combined cycle power plant was predicted by using linear regression, decision tree and random forest regressors and neural networks. Firstly, the business problem and use case were identified. Then, required data to solve the business problem was specified. The data was extracted from the identified source and prepared for analysis by data wrangling. Exploratory data analysis was performed to have an idea of tackling the business problem. Feature engineering was done based on exploratory data analysis and further correlation recognition. Lastly, Machine learning, hyperparameter tuning and deep learning were used to build and optimize models to solve business problem i.e. coming up with a correlation to estimate plant power output based on ambient conditions data. This report has been generated as the main deliverable for this business problem that also contains the correlation.