My Review on the Google Data Analytics course

In this article, I'll be introducing one of the most popular courses on Coursera for learning Data Analytics—the Google Data Analytics Professional Certificate.

This course has already attracted over 800,000 enrollments on Coursera, and it's no surprise why. It's developed by Google itself, ensuring that you'll learn all the essential Data Analytics skills from industry experts. Plus, it's well-structured and regularly updated to keep up with the

latest trends.

In today's modern world, the demand for skilled data analysts is skyrocketing. Companies are collecting vast amounts of data on customer behavior, product reviews, and more. They need experts who can extract valuable insights from this data to make informed decisions, improve their offerings, and enhance user experiences.

?According to a report, 75% of Google Career Certificate Graduates in the United States experienced positive career changes, such as finding new jobs, getting promotions, or receiving salary raises, within six months of completing the certificate. This shows the real impact of this program on career growth.

?While many people recognize the importance of acquiring data analysis skills, the challenge lies in choosing the right course among the thousands available online, created by both amateurs and professionals.

?Now, let's dive into a detailed review of this certificate course.

?

The Google Data Analytics Professional Certificate is developed by the Google Career Certificate team, an initiative that aims to provide people with digital skills, including Google ads, data science, and data analytics. The instructors are industry experts who possess the knowledge and experience to help you comfortably learn data analytics from the best in the field.

?This comprehensive certification consists of eight courses, including a capstone project that must be completed to earn the certificate.

?

Here's an overview of the courses and their content:

2.1. Foundations: Data, Data, Everywhere: This introductory course familiarizes you with data analytics and the tools used by data analysts. You'll learn about data analytics thinking, key skills used in analytics, and the applications and tasks involved in the data analysis process.

?

2.2. Ask Questions to Make Data-Driven Decisions: In this course, you'll discover the importance of asking the right questions before diving into data analysis. You'll learn effective questioning techniques and how to use data to empower decision-making. Additionally, you'll explore spreadsheet usage and effective communication with your team.

?

2.3. Prepare Data for Exploration: This course focuses on data generation and collection methods used by companies. You'll gain an understanding of structured and unstructured data, learn how to prepare data for analysis, identify biases in data, and work with databases to extract and filter the necessary data.

?

2.4. Process Data from Dirty to Clean: Data cleaning is a critical step in the analysis process. In this course, you'll learn how to identify and collect relevant data, clean it using the SQL language, and ensure data accuracy through verification and reporting.

?

2.5. Analyze Data to Answer Questions: This course emphasizes organizing and analyzing data through sorting, filtering, and formatting techniques. You'll utilize spreadsheet software and SQL to perform data analysis, combine data from different sources, and perform calculations to derive meaningful insights.

?

2.6. Share Data Through the Art of Visualization: Data visualization is a crucial skill for data analysts. This course teaches you key concepts of data visualization, design thinking principles, and how to use Tableau software to create compelling visualizations and dashboards. You'll also learn how to effectively present your data analysis findings.

?

2.7. Data Analysis with R Programming: Here, you'll explore the R programming language and its application in data analysis. You'll learn about RStudio IDE and its features, work with variables, perform calculations, utilize R packages, and manipulate and visualize data. By the end of the course, you'll be able to create visualizations and import them into your analyses.

?

2.8. Google Data Analytics Capstone: The capstone project serves as a culmination of your learning journey. You'll apply your skills to a given dataset, identify key features and attributes, and complete an optional case study. Successful completion of this project will earn you the

Google Data Analytics Professional Certificate.

?

My opinion

It provided a comprehensive and practical learning experience. The course structure was well-designed, the content was relevant and up-to-date, and the instructors were knowledgeable and engaging. Plus, the opportunity to learn from industry experts at Google was truly invaluable. Highly recommended!

?

If you're ready to embark on this exciting journey, you can join the certification program using the following link: Google Data Analytics Professional Certificate.

Wishing you all the best in your pursuit of becoming a skilled Data Analyst!