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## Google Data Analytics Professional Certificate
The Google Data Analytics Professional Certificate is a beginner-friendly, nine-course programme designed to develop practical skills for an entry-level career in data analytics. It covers collecting, organising, cleaning, analysing and visualising data to identify patterns, solve problems and support informed business decisions.
The programme introduces the everyday responsibilities of a data analyst, including analytical thinking, data ethics, problem-solving and communicating findings to stakeholders.
### Course Content
1\. Foundations: Data, Data, Everywhere
Introduction to data analytics, data ecosystems, analytical thinking and the responsibilities of a data analyst. Explore spreadsheets, query languages and data visualisation tools.
2\. Ask Questions to Make Data-Driven Decisions
Learn structured thinking, problem-solving techniques and how to ask effective questions. Understand how organisations use data to make decisions and how spreadsheets support data organisation.
3\. Prepare Data for Exploration
Explore data collection methods, data bias, database structures, data quality and best practices for organising and managing information.
4\. Process Data from Dirty to Clean
Learn data cleaning, data integrity, SQL queries, data validation and techniques for identifying and correcting errors in datasets.
5\. Analyze Data to Answer Questions
Develop skills in sorting, filtering, formatting and analysing data. Use spreadsheet functions, calculations and SQL queries to combine and interpret information from multiple sources.
6\. Share Data Through the Art of Visualization
Learn to communicate analytical findings through charts, dashboards and presentations. Explore Tableau, data storytelling and effective visual communication.
7\. Introduction to Data Analysis Using Python
Explore Python programming fundamentals, including syntax, variables, loops, control statements, string manipulation and data structures used in data analysis.
8\. Google Data Analytics Capstone: Complete a Case Study
Apply the complete data analysis process to a practical case study, from preparing and cleaning data to analysing results and presenting findings. Explore AI-assisted data preparation, formulas and visualisation.
9\. Accelerate Your Job Search with AI
Explore career opportunities, identify transferable skills, organise job applications and use Google AI tools to improve resumes, prepare for interviews and develop a structured job search strategy.
### Key Skills Covered
Data Analysis, Data Cleaning, SQL, Python, Tableau, Spreadsheet Analysis, Data Visualisation, Dashboard Creation, Data Storytelling, Critical Thinking, Data Ethics, Problem Solving, Data Validation, Database Management and AI-Assisted Analytics.
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