[Coursera] Google Data Analytics, Advanced Data analytics 인증서 내용 비교

 

Google Advanced Data Analytics 

• Foundations of Data Science
• The Power of Statistics 
• Go Beyond the Numbers : Translate Data into Insights 
• Regression analysis : Simplify complex data relationships 
• Get started with Python
• Google Advanced Data Analytics Capstone
• The Nuts and Bolts of Machine Learning 

 

 

 

 

 

Google Data Analytics 

• Foundations: Data, Data, Everywhere
  • Introducing data analytics 
    • Get started 
    • Transforming data into insights 
    • Understanding the data ecosystem
    • Program expectations and proper use of the discussion forum
  • All about analytical thinking
    • Embrace your data analyst skills 
    • Thinking about analytical thinking
    • Thinking about outcomes 
  • The wonderfule world of data 
    • Follow the data life cycle 
    • Outlining the data analysis process 
    • The data analysis toolbox 
  • Set up your toolbox 
    • Mastering spreadsheet basics 
    • Structured Query Language (SQL) 
    • Data visualization (using datavis) 
  • Endless career possibilities 
    • Data analyst job opportunities 
    • The importance of fair business decisions 
    • Optional : Exploring your next job 
• Ask Questions to Make Data-Driven Decisions
  • Effective questions 
    • Problem solving and effective questioning
    • Take action with data 
    • Solve problems with data 
    • Craft effective questions 
  • Data driven decisions 
    • Understand the power of data 
    • Follow the evidence
    • Connecting the data dots 
  • More spreadsheet basics 
    • Working with spreadsheets 
    • Formulas in spreadsheets
    • Functions in spreadsheets 
    • Save time with structured thinking 
  • Always remember the stakeholder 
    • Balance team and stakeholder needs
    • Communication is key 
    • Amazing teamwork 
• Prepare Data for Exploration
  • Data types and structures 
    • Data exploration
    • Collecting data 
    • Differentiate between data formats and structures 
    • Explore data types, fields, and values 
  • Bias, credibility, privacy, ethics, and access
    • Unbiased and objective data 
    • Explore data credibility 
    • Data ethics and privacy 
    • Understanding open data 
  • Databases: Where data lives
    • Working with databases
    • Managing data with metadata
    • Accessing different data sources 
    • Sorting and filtering 
    • Working with large datasets in SQL
  • Organizing and protecting your data
    • Effectively organize data 
    • Securing data
  • Optional : Engaging in the data community 
    • Create or enhance your online presence 
    • Build a data analytics network 
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• Process Data from Dirty to Clean
• Analyze Data to Answer Questions 
• Share Data Through the Art of Visualization 
• Data Analysis with R Programming
• Google Data Analytics Capstone : Complete a Case Stud