Google Data Analytics

Google Data Analytics Professional Certificate: Course Overview

The Google Data Analytics Professional Certificate is designed to provide learners with the essential skills and knowledge required to pursue a career in data analytics. This course covers the complete data analysis process, from data collection and cleaning to visualization and interpretation. Learners will gain hands-on experience with the tools and techniques used in the industry, including spreadsheets, SQL, and data visualization software.

Key Learning Objectives

• Understand the fundamentals of data analytics and its role in decision-making.
• Learn how to collect, clean, and organize data for analysis.
• Use tools such as spreadsheets and SQL to manipulate and query data.
• Create data visualizations to communicate insights effectively.
• Develop critical thinking and problem-solving skills to analyze real-world data.

Course Outline

1. Introduction to Data Analytics
   • Understanding data analytics and its applications in various industries.
   • Overview of the data analytics career path and skills needed.
   • The importance of data in decision-making and business intelligence.
2. Data Collection and Cleaning
   • Identifying and gathering data from various sources.
   • Techniques for cleaning and preparing data for analysis (handling missing data, removing duplicates, etc.).
   • Introduction to data types and structures.
3. Working with Spreadsheets
   • Using Google Sheets or Excel for data manipulation.
   • Learning basic functions and formulas to analyze data.
   • Sorting, filtering, and organizing data to make it ready for analysis.
4. Introduction to SQL for Data Analytics
   • Introduction to SQL and its role in querying databases.
   • Writing basic SQL queries to retrieve, filter, and aggregate data.
   • Understanding joins, subqueries, and data relationships in databases.
5. Data Visualization and Reporting
   • Using tools like Google Data Studio or Tableau to create visualizations.
   • Understanding the types of visualizations and choosing the right one for your data (e.g., bar charts, line graphs, pie charts).
   • Communicating data insights through effective dashboards and reports.
6. Analyzing Data and Making Recommendations
   • Techniques for performing exploratory data analysis (EDA).
   • Interpreting trends, patterns, and outliers in data.
   • Drawing actionable insights and presenting recommendations to stakeholders.
7. Capstone Project
   • Apply the skills learned in the course to a real-world data analysis project.
   • Collect, clean, and analyze data, then create visualizations and a report to communicate your findings.
   • Present your project to demonstrate your understanding and ability to handle data analytics tasks.

Key Skills Acquired

• Proficiency in data collection, cleaning, and manipulation.
• Strong knowledge of spreadsheets and SQL for querying data.
• Ability to create clear, meaningful data visualizations and dashboards.
• Critical thinking and problem-solving abilities in analyzing data and making business decisions.

Target Audience

This course is ideal for:

• Beginners interested in starting a career in data analytics.
• Professionals looking to switch careers into data-driven roles.
• Business owners or managers who want to improve their data analysis skills for better decision-making.

By the end of this course, participants will be equipped with the technical skills to work as entry-level data analysts, capable of collecting, analyzing, and visualizing data to support business decisions and strategic goals.

https://www.coursera.org/programs/mojatu-foundation-google-learning-program-qqssv/professional-certificates/google-data-analytics?