Repository for coursera specialization Applied Data Science with Python by University of Michigan

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

Coursera | Introduction to Data Science in Python（University of Michigan）

Repo for the first course of the Applied Data Science with Python Specialization taught by University of Michigan hosted by Coursera

This repository contains the answers for coursera 's "Databases and SQL for Data Science with Python " course by ibm with honors (week 1 - week 6)

Sharing the solved Exercises & Project of Statistics for Data Science using Python course on Coursera by Ankit Gupta

This repository includes course assignments of Introduction to Data Science in Python on coursera by university of michigan

Currently taking a course on Coursera.org called Introduction to Data Science. The very first programming assignment is called Twitter Sentiment Analysis in Python. I would like to keep track of my progress of the source code for this project and if people want to contribute after the class is over that is good. This is also used as a tutorial for people to learn how to use Twitter API in python to do Twitter sentiment analysis

Assignments and Resources for Introduction to Data Science in Python course on Coursera by University of Michigan

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.

Python for Data Science, AI & Development - offered by IBM on Coursera

This project contains all the assignment's solution of university of Michigan.

My solutions to the 'Applied Data Science with Python' specialization held by University of Michigan on Coursera.

Repository for the Applied Data Science with Python Specialization from University of Michigan on Coursera

Coursera course with University of Michigan, 11/2016

Python for Genomic Data Science 2015 Coursera from Johns Hopkins University

This repository contains graded assignments in python-3 language of the course 'Applied text mining in Python', part of the specialisation 'Applied data Science using Python' by University of Michigan offered by Coursera.

Genomic Data Science Specialization helps in learning genomic data science including Python, R, Bioconductor, and Galaxy. This is offered in coursera from John Hopkins University

This repository contains my work while completing the specialization created by University of Michigan on Coursera. The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

Extensive Data Manipulation Exercise using Pandas for Introduction to Data Science in Python by University of Michigan (hosted by Coursera)

Final assignment for the course Data Visualization with Python, part of IBM Data Science Professional Certification on Coursera

Assignments, notes, quizes and course materials. University of MIchigan.

✅This repository contains solutions to the 5 courses under the Specialization - Applied Data Science with Python by University of Michigan on Coursera.

Repo for coursera specialization Big Data by UC San Diego

This repository contains the materials to "Applied Data Science with Python", a specialization provided by University of Michigan through Coursera.

Introduction to Data Science in Python (Coursera)

Repository for Coursera specialization Applied Data Science with Python by University of Michigan

A Haskell port of the exercises in the Applied Data Science With Python Coursera specialisation.

Course materials for the Coursera MOOC: Applied Plotting, Charting & Data Representation in Python from University of Michigan, Course 2 of the Applied Data Science with Python Specialization

University of Michigan_Introduction to Data Science in Python: This repo contains all the necessary quiz and Assignment for Introduction to Data Science in Python Course