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CERTIFICATIONS

Google Data Analytics Professional Certificate 

Foundations: Data, Data, Everywhere 

  • Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.

  • Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics.

Image by Scott Graham

Ask Questions to Make Data-Driven Decisions 

  • Explain how the problem-solving road map applies to typical analysis scenarios.

  • Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data.

Data on a Touch Pad

Prepare Data for Exploration 

  • Explain what factors to consider when making decisions about data collection.

  • Discuss the difference between biased and unbiased data.

Data Cloud

Process Data from Dirty to Clean

  • Define different types of data integrity and identify risks to data integrity.

  • Apply basic SQL functions to clean string variables in a database.

Data Processing

Analyze Data to Answer Questions 

  • Discuss the importance of organizing your data before analysis by using sorts and filters.

  • Apply the use of functions and syntax to create SQL queries to combine data from multiple database tables.

Analyzing the data

Share Data Through the Art of Visualization  

  • Describe the use of data visualizations to talk about data and the results of data analysis.

  • Explain what data driven stories are including reference to their importance and their attributes.

Analytics

Data Analysis with R Programming 

  • Describe the R programming language and its programming environment.

  • Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors.

Analysing data
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