Online Course in Google Data Analytics – Professional Certificate

What you’ll learn:

• In-depth understanding of methods and processes used by a junior or senior data analyst in everyday life.
• Learning important analytical skills like data cleansing, analytics, and visualization, and tools like spreadsheets, SQL, R, and Tableau.
• How to clean and organize data for analysis, calculations with spreadsheets, SQL, and R.
• How to visualize and present data findings in common dashboards, presentations, and visualization platforms.

Course Instructor:

Beginner-friendly

No prior knowledge required

Official certificate

The certificate is added to LinkedIn

Time to complete the course

1 hour

7-day free trial

No unnecessary risks

The skills you will acquire:

• Data Analytics
• Creating case studies
• Data visualization
• Data Cleanup
• Building a portfolio
• Data Collection
• Spreadsheets
• Metadata
• SQL
• Data Ethics
• Data pooling
• Data Calculations
• R Markdown
• Programming in R
• Rstudio
• Tableau
• Presentation of Findings
• Data integrity
• Determining Sample Size
• Decision Making
• Troubleshooting
• Asking questions

Preparing for a career in data analytics:

• You’ll receive professional-level training from Google.
• Showcase your skills in practical projects tailored to a portfolio.
• This professional certificate will enable you to be suitable for jobs such as: Data Analyst, Junior Data Analyst, and Senior Data Analyst.

Professional Certificate – Series of 8 Courses:

The program is designed to prepare you for an entry-level position in analytics, with no experience or degree required. You’ll learn from Google experts and be eligible to apply for jobs with top employers like Deloitte, Target, Verizon, and Google. The program certificate is also recognized by ACE® and can be used for credit at U.S. educational institutions.

Course List

Course 1: Data Fundamentals: Data Everywhere

• Course duration: 18 hours
• Rating: 4.8 (104,518 ratings)
• What you’ll learn:
  • Define and explain key concepts in data analytics, including data and data systems.
  • Conducting self-assessment for analytical thinking and providing examples for the application of analytical thinking.
  • Discuss the role of spreadsheets, query languages, and data visualization tools.
  • Job description of a data analyst in various jobs.
• Skills:
  • Spreadsheets
  • Data integrity
  • Determining Sample Size
  • SQL
  • Data Cleanup

Course 2: Asking Questions for Data-Driven Decision Making

• Course duration: 21 hours
• Rating: 4.7 (31,858 ratings)
• What you’ll learn:
  • How to use a roadmap to troubleshoot analytical scenarios.
  • Discussing the use of data in the decision-making process.
  • Use spreadsheets to perform basic tasks.
  • A description of key ideas related to structured thinking.
• Skills:
  • Data Analytics
  • Creating case studies
  • Data visualization
  • Data Cleanup
  • Portfolio Development

Course 3: Preparing Data for Investigation

• Course duration: 24 hours
• Rating: 4.8 (20,310 ratings)
• What you’ll learn:
  • What are the factors to consider when collecting data.
  • Difference between biased and unbiased data.
  • A description of databases, their functions, and components.
  • A description of data organization practices.
• Skills:
  • Decision Making
  • Spreadsheets
  • Data Analytics
  • Troubleshooting
  • Asking questions

Course 4: Data Processing: Dirty to Clean

• Course duration: 26 hours
• Rating: 4.8 (16,269 ratings)
• What you’ll learn:
  • Types of data integrity and risk identification.
  • Use SQL functions to clean up variables in databases.
  • Develop basic SQL queries.
  • Describe the process of verifying the results of the data cleanup.
• Skills:
  • Data Analytics
  • R Markdown
  • Data visualization
  • Programming in R
  • Rstudio

Course 5: Data Analysis to Answer Questions

• Course duration: 32 hours
• Rating: 4.6 (10,992 ratings)
• What you’ll learn:
  • The importance of organizing the data before the analysis through sorting and filtering.
  • Data conversion and formatting.
  • You create SQL queries to combine data from multiple database tables.
  • Perform basic calculations on data in spreadsheets.
• Skills:
  • Data pooling
  • Spreadsheets
  • Data Analytics
  • Data Calculations
  • SQL

Course 6: Sharing Data Through the Art of Visualization

• Course duration: 25 hours
• Rating: 4.6 (8,860 ratings)
• What you’ll learn:
  • Use data visualizations to share findings.
  • Identifying Tableau as a data visualization tool and its uses.
  • Explain what a data-driven storytelling is.
  • Principles for Effective Presentations.
• Skills:
  • Data Collection
  • Spreadsheets
  • Metadata
  • SQL
  • Data Ethics

Course 7: Data Analysis Using R Programming

• Course duration: 34 hours
• Rating: 4.8 (10,223 ratings)
• What you’ll learn:
  • A description of the R programming language and its programming environment.
  • Explain basic concepts in R programming.
  • Options for creating visualizations in R.
  • Creating a basic structure with R Markdown.
• Skills:
  • Data Analytics
  • Tableau Software
  • Data visualization
  • Presentation of Findings

Course 8: Final Project in Analytics Data

• Course duration: 14 hours
• Rating: 4.8 (15,149 ratings)
• What you’ll learn:
  • Identify key characteristics of case studies.
  • Applying a data analysis process to a given data set.
  • A discussion on the use of portfolios to communicate with recruiters and employers.
• Skills:
  • Spreadsheets
  • Data Analytics
  • SQL
  • Data visualization
  • Data Cleanup