The Google Data Analytics Professional Certificate is an online program offered by Google in collaboration with Coursera. It is designed to equip learners with the skills and knowledge needed to start a career in data analytics. The program covers a wide range of topics, including data analysis, visualization, SQL, and data cleaning. Here's an overview of the program:
1. **Foundations of Data, Data Collection, and Analysis**: This course provides an introduction to data analytics, covering topics such as data types, data collection methods, data analysis techniques, and data-driven decision-making.
2. **Ask Questions to Make Data-Driven Decisions**: Learners explore how to ask relevant questions, formulate hypotheses, and use data to answer these questions and make informed decisions. Topics include data visualization, exploratory data analysis (EDA), and hypothesis testing.
3. **Prepare Data for Exploration**: This course focuses on data cleaning and preparation techniques to ensure data quality and reliability for analysis. Learners explore how to identify and handle missing data, outliers, and inconsistencies.
4. **Process Data from Dirty to Clean**: Learners delve deeper into data cleaning and transformation techniques using tools such as spreadsheets and SQL. Topics include data wrangling, manipulation, and transformation to prepare data for analysis.
5. **Analyze and Visualize Data**: This course covers data analysis and visualization techniques using spreadsheets and data visualization tools like Google Sheets and Data Studio. Learners explore how to create charts, graphs, dashboards, and reports to communicate insights effectively.
6. **Model Data**: Learners are introduced to basic statistical concepts and techniques for modeling and predicting trends in data. Topics include linear regression, correlation analysis, and forecasting methods.
7. **Use SQL for Data Analysis**: This course focuses on SQL (Structured Query Language) for querying and analyzing data stored in relational databases. Learners explore SQL syntax, querying databases, filtering, aggregating, and joining data.
8. **Combine and Clean Data with Google Sheets**: Learners explore advanced data cleaning and transformation techniques using Google Sheets. Topics include data merging, splitting, transposing, and advanced functions for data manipulation.
9. **Google Data Analytics Capstone Project**: In the final project-based course, learners apply their skills and knowledge acquired throughout the program to complete a hands-on data analytics project. Projects may involve real-world datasets and address business or research questions using data analysis, visualization, and SQL techniques.
The Google Data Analytics Professional Certificate program is designed for individuals with little to no prior experience in data analytics who are interested in entering the field. It offers a combination of video lectures, interactive exercises, quizzes, and hands-on projects to help learners develop practical skills in data analytics. Upon successful completion of the program, learners receive a professional certificate from Google and Coursera, which can be showcased on their resume and LinkedIn profile to demonstrate their proficiency in data analytics.