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）

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

Solutions to the Introduction to Data Science Coursera course problems.

Introduction to Data Science IBM specialization

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)

Introduction to Data Science in Python (Coursera)

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

✨✨Introduction to Data Science in Python Course✨✨

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

This is my Real World Assignment for "Introduction to Data Science" course on Coursera.

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Coursera Course: Introduction to Data Science in Python by University of Michigan

Coursera Introduction to Data Science Assignment 1

Introduction to Data Science - Coursera Course

Course materials from the Spring 2013 session of the Coursera course "Introduction to Data Science"

Jupyter notebook for my Hypothesis Testing project and other assignments from Coursera Introduction to Data Science class

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.

more on pandas assignment 3

Assignment 4 Project Hypothesis Testing

Coursera: Introduction to Data Science by Bill Howe. https://class.coursera.org/datasci-002

Assigment of Introduction to Data Science in Python course offered by coursera

Solution to Assignments for Introduction to Data Science by Bill Howe in University of Washington (Coursera)

Sample solution to an assignment for Introduction to Data Science in Python course by Coursera and Michigan State University.

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

Assignments for Coursera Introduction to Data Science in Python by University of Washington

Assignment source code of Coursera course for Introduction to Data Science