Data Science for Beginners freeCodeCamp

Cards (848)

  • Who is the instructor of the Data Science course?
    Barton Poulson
  • What type of overview does the Data Science course provide?
    A brief, accessible, and non-technical overview
  • What do many people mistakenly associate with Data Science?
    Piles of equations and lab work
  • How is Data Science described in terms of its nature?
    It is more creative than technical
  • What is the primary goal of Data Science?
    To gain insight from data
  • What does Data Science aim to include in its analysis?
    All data, even non-standard data
  • Why is it important to listen to all data in Data Science?
    Everything signifies and carries meaning
  • What does the course aim to provide regarding Data Science?
    A map to the field of Data Science
  • What is one definition of Data Science provided in the course?
    Coding, math, and statistics in applied settings
  • How is Data Science defined in terms of data analysis?
    Analysis of diverse data not fitting standard approaches
  • What is meant by inclusive analysis in Data Science?
    Including all data for insightful answers
  • What article describes Data Scientist as the "Sexiest Job of the 21st Century"?
    Harvard Business Review
  • Why is Data Science considered "sexy"?
    It has rare qualities and high demand
  • What are the rare qualities of Data Science?
    Finding order, meaning, and value in unstructured data
  • Why is there high demand for Data Science?
    It provides insight and competitive advantage
  • What does the McKinsey Global Institute project about deep analytical talent positions?
    140 to 190,000 positions needed
  • How many data-savvy managers will be needed in the U.S.?
    1. 5 million managers
  • What is one of the main purposes of the Data Science course?
    To help understand data and its methods
  • What skill was ranked number one in LinkedIn's "25 hottest job skills" in 2014?
    Statistical analysis and data mining
  • What was the median base salary for data scientists according to Glassdoor in 2016?
    Over $116,000
  • What is the average total salary for data scientists according to O'Reilly.com?
    About $144,000 a year
  • What are the three main components of the Data Science Venn Diagram?
    Coding, statistics, and domain expertise
  • Why is coding important in Data Science?
    It helps gather and prepare data
  • What are two major languages used for statistical coding?
    R and Python
  • What does SQL stand for?
    Structured Query Language
  • What is the command line interface commonly called on a Mac?
    The terminal
  • What is regex used for in Data Science?
    Super-powered wildcard searching
  • What types of math are important in Data Science?
    Probability, algebra, and regression
  • Why is domain expertise important in Data Science?
    It helps implement results effectively
  • What does the intersection of coding and statistics without domain expertise represent?
    Machine learning
  • What is traditional research characterized by?
    Math and domain knowledge without coding
  • What is the "danger zone" in the Data Science Venn Diagram?
    Coding and domain knowledge without math
  • What backgrounds can people come from in Data Science?
    Coding, statistics, or domain expertise
  • What are the three takeaways from the Data Science course?
    Diverse skills, several fields, many roles
  • What are the general categories of steps in the Data Science Pathway?
    • Planning
    • Data preparation
    • Modeling of data
    • Follow-up
  • What type of business people are least common in data science?
    Those who can code and do numbers
  • Why are diverse skills and backgrounds important in data science?
    They are needed for various roles and tasks
  • What are the general categories of steps in the data science pathway?
    1. Planning
    2. Data preparation
    3. Modeling
    4. Follow-up
  • What is the first step in the planning phase of a data science project?
    Define the goals of your project
  • Why is it important to organize resources in a data science project?
    To manage data and software from various sources