Google Data Analytics Arabic course Syllabus

Overview: The Google Data Analytics Professional Certificate on Coursera is a beginner-friendly, self-paced program designed to take approximately 6 months with a commitment of about 10 hours per week. This comprehensive 9-course journey equips learners with foundational data analytics skills, progressing from data collection and cleaning to visualization and storytelling. The curriculum culminates in a real-world capstone project, allowing learners to build a portfolio-ready analysis using real datasets. All modules emphasize hands-on practice with industry-standard tools like SQL, R, Tableau, and spreadsheets.

Module 1: Ask Questions to Make Data-Driven Decisions

Estimated time: 20 hours

• Define the data analyst role and core responsibilities
• Understand the data analysis process and key steps
• Learn how to ask effective, actionable questions
• Explore data types and structures used in analytics

Module 2: Prepare Data for Exploration

Estimated time: 25 hours

• Identify data integrity and credibility issues
• Learn data cleaning techniques using spreadsheets
• Transform and organize data for analysis
• Understand data privacy and security best practices

Module 3: Process Data from Dirty to Clean

Estimated time: 30 hours

• Detect and handle missing or duplicate data
• Standardize and validate data formats
• Use SQL to filter and sort data
• Apply data cleaning best practices in real scenarios

Module 4: Analyze Data to Answer Questions

Estimated time: 30 hours

• Write SQL queries to extract and manipulate data
• Perform data aggregation and filtering
• Use spreadsheets for exploratory data analysis
• Apply analytical techniques to solve business problems

Module 5: Share Data Insights

Estimated time: 25 hours

• Design effective data visualizations in Tableau
• Choose appropriate chart types for different data
• Build interactive dashboards for stakeholder reporting
• Communicate insights clearly and persuasively

Module 6: Final Project

Estimated time: 40 hours

• Collect and clean a real-world dataset
• Perform comprehensive data analysis using SQL and R
• Create visualizations and dashboards in Tableau
• Present findings through a professional portfolio-ready report

Prerequisites

• Basic computer literacy
• No prior experience in data analytics required
• Familiarity with navigating online platforms

What You'll Be Able to Do After

• Use SQL to query and analyze large datasets
• Clean and organize raw data using spreadsheets and SQL
• Visualize data effectively with Tableau and R
• Communicate data insights to non-technical stakeholders
• Complete a portfolio project to showcase job-ready skills