Course

Google Data Analytics (PT)

Google

Google Data Analytics (PT) offers a comprehensive program designed to equip individuals with the skills and knowledge needed to excel in the field of data analysis. Throughout the eight-course curriculum, students will delve into the fundamental concepts and practical applications of data analysis, learning from Google employees who have successfully leveraged data analysis in their careers.

The program covers a wide range of topics, including the analysis of biased and unbiased data, data cleaning, SQL programming, data visualization using tools like Tableau, and the use of programming language R for data analysis. Students will also learn to present their findings effectively through data visualization and storytelling.

Upon completion, students will be prepared for entry-level roles such as junior data analyst, database administrator, and more, with the opportunity to connect with top employers in the field.

  • Duration: Less than six months
  • Effort: Less than 10 hours per week
  • Prerequisites: None
  • Mode: Online

Certificate Available ✔

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Google Data Analytics (PT)
Course Modules

The Google Data Analytics (PT) program comprises eight courses offering a comprehensive exploration of data analysis practices and tools to prepare individuals for entry-level roles in the field.

Fundamentos: dados, dados, em todos os lugares

Module 1: Fundamentals: Data, Data Everywhere

  • Explore the key concepts involved in data analysis
  • Assess analytical thinking and its applications
  • Examine the role of spreadsheets, query languages, and data visualization tools

Fazer perguntas para tomar decisões com base em dados

Module 2: Asking Questions to Make Data-Driven Decisions

  • Understand the contribution of problem-solving frameworks to data analysis scenarios
  • Discuss the use of data in decision-making processes
  • Demonstrate basic data analysis tasks using spreadsheets

Preparar os Dados para Exploração

Module 3: Preparing Data for Exploration

  • Considerations for data collection decisions
  • Differentiate between biased and unbiased data
  • Best practices for data organization

Processar os dados para limpá-los

Module 4: Processing Data to Clean It

  • Define data integrity and associated risks
  • Apply basic SQL functions for data cleaning
  • Verification of data cleaning results

Analisar os dados para responder às perguntas

Module 5: Analyzing Data to Answer Questions

  • Importance of data organization before analysis
  • Data conversion and formatting
  • Using functions and syntax for basic data calculations

Compartilhar os dados com a arte da visualização

Module 6: Sharing Data with the Art of Visualization

  • Utilizing data visualizations to convey insights
  • Introduction to Tableau for data visualization
  • Principles and practices of effective presentations

Análise de dados com programação em R

Module 7: Data Analysis with R Programming

  • Introduction to the R language and programming environment
  • Explanation of fundamental concepts in R programming
  • Options for generating visualizations in R

Projeto final de Data Analytics do Google: conclua um estudo de caso

Module 8: Google Data Analytics Final Project: Complete a Case Study

  • Differentiate between a final project, case study, and portfolio
  • Application of analysis practices to a specific dataset
  • Utilizing case studies and portfolios for communication with potential employers
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