Skip to content. assert is used for testing. This was converted from a jupyter notebook that you can download it as part of the course downloads zip file. Introduction to Data Science in Python Week 2 Assignment 2 - Pandas Introduction All questions are weighted the same in this assignment. His key expertise are in domains of Machine Learning, Data Mining, Python & Data Science. Python is a premier language for modern data science and data analysis. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses. In Week 2 :- View the gh-pages branch to see your compiled submission, as portfolio.pdf or by viewing your website. throws an error). Change ). Computes a grade for CSC/DSP310 from numbers of achievements at each level, letter grade with possible modifier (+/-), Class 8: Visualization and Starting to Clean Data, Class 10: Cleaning review and Ray Summit Keynotes, Class 12: Constructing Datasets from Multiple Sources, Class 13: Data from multiple sources and Databases, Class 17: Evaluating Classification and Midsemester Feedback, Class 18: Mid Semester Checkin, Git, & How GNB makes decisions, Class 20: Decision Trees and Cross Validation, Class 22: More Regression, More Evaluation and LASSO, Class 23: Interpretting Regression Evaluations, Class 30: Learning Curves, Validation Curves, Assignment 1: Portfolio Setup, Data Science, and Python, Assignment 2: Practicing Python and Accessing Data, Assignment 4: Preparing Data for Analysis, Assignment 5: Constructing Datasets and Using Databases. See this document for a description of the variable names. If you have questions, # about the assignment formats, check out the discussion forums for any FAQs, # df['Points'] = ((df['Gold']*3) + (df['Silver']*2) + (df['Bronze.1']) + (df['Gold.1']*3) + (df['Silver.1']*2) + (df['Bronze.1'])), # print("---------------------------------"), # df['max']=np.where((df['POPESTIMATE2014']) > (df['POPESTIMATE2015'])), # conditions = [(df['one'] >= df['two']) & (df['one'] <= df['three']), df['one'] < df['two']], Data Analysis and Interpretation Specialization. You’ll need this for future questions too…). My passion for Python and Data Science almost disappear. On Fri, 22 May 2020, 16:58 Shannon Jeet Singh, ***@***. Module 3 Coding Assignment >> Week 3 >> SQL for Data Science. throws an error). One solution is added to the Detailed Mechanics part of the Grading section of the syllabus. Submitting early gives you a better chance of getting the peer reviews you need in time. e.g. This function should return a list of string values. The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. On Fri, 22 May 2020, 16:58 Shannon Jeet Singh, ***@***. All gists Back to GitHub Sign in Sign up ... "Your solution file either prints output to the console (e.g. This is the notebook for assignment 2 of the Coursera Python Data Analysis course. If you get stuck on any of this after accepting the assignment and creating a repository, you can create an issue on your repository, describing what you’re stuck on and tag us with @rhodyprog4ds/fall20instructors. iloc [0] # You can examine what your function returns by calling it in the cell. Week 1 - Week 1 In this week you'll get an introduction to the field of data science, review common Python functionality and features which data scientists use, and be introduced to the Coursera Jupyter Notebook for the lectures. 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