Data Analytics

The Google Data Analytics Certificate prepares learners for roles in data analysis, business intelligence, and operations analysis by teaching essential data collection, processing, analysis, visualization, and storytelling skills. This program provides hands-on training with spreadsheets, SQL, Tableau, and R programming, ensuring graduates are job-ready for entry-level data analytics roles.

πŸ“Œ No prior experience required.

 

Why Take This Course?

πŸ“Š Master Data Analytics Skills – Learn how to analyze and interpret data to inform business decisions.

πŸ›  Hands-On Learning – Work with spreadsheets, SQL, Tableau, and R for real-world data analysis.

πŸ“ˆ Career-Ready Certification – Prepares learners for roles like Data Analyst, Business Systems Analyst, and Operations Analyst.

🌍 Flexible & Self-Paced – Complete the course online at your own speed.

 

What You’ll Learn

βœ” How to clean, organize, and analyze data to uncover insights.

βœ” How to use SQL to query databases and extract relevant data.

βœ” How to create visualizations in Tableau to communicate findings.

βœ” How to write data reports and present insights to stakeholders.

βœ” How to use R programming for statistical analysis and data modeling.

 

Course Modules & Skills Gained

πŸ“Œ Course 1: Foundations – Data, Data, Everywhere

β€’Learn data analytics fundamentals and key concepts.

β€’ Explore data life cycles, job roles, and analytical thinking.

πŸ“Œ Course 2: Ask Questions to Make Data-Driven Decisions

β€’ Develop data-driven decision-making skills.

β€’ Learn effective stakeholder communication & structured thinking.

πŸ“Œ Course 3: Prepare Data for Exploration

β€’ Work with structured and unstructured data.

β€’ Use SQL to extract, clean, and format datasets.

πŸ“Œ Course 4: Process Data from Dirty to Clean

β€’ Apply data cleaning techniques in spreadsheets and SQL.

β€’ Understand data integrity, bias, and ethical considerations.

πŸ“Œ Course 5: Analyze Data to Answer Questions

β€’ Conduct data sorting, filtering, and validation.

β€’ Perform statistical analysis using SQL and spreadsheets.

πŸ“Œ Course 6: Share Data Through the Art of Visualization

β€’ Create interactive dashboards and reports with Tableau.

β€’Develop data storytelling techniques to communicate insights.

πŸ“Œ Course 7: Data Analysis with R Programming

β€’ Learn R programming basics, data manipulation, and visualization.

β€’ Work with RStudio, Tidyverse, and ggplot2 for advanced analytics.

πŸ“Œ Course 8: Capstone – Complete a Case Study

β€’Work on a real-world data analytics project to showcase in a portfolio.

β€’Prepare for data analyst job interviews with hands-on practice.

 

Who Should Enroll?

This course is ideal for:

βœ… Aspiring Data Analysts looking to develop in-demand data skills.

βœ… Students & Career Changers wanting to enter the data analytics field.

βœ… Professionals & Business Leaders seeking to make data-driven decisions.