Top 10 Google Free Online Courses 2023 | Free Certification Available

Top 10 Free Google Online Courses in 2023 Opportunities abound in the new year for all prospective candidates who have resolved to advance their skills and knowledge. Google is here to help you improve your skills and expertise for the same reason. Google will offer 10 of the best free online courses in 2023.
In 2023, you will be able to learn Marketing And Technology Techniques that will enhance your resume, and you will benefit from these courses in your future career opportunities. The current industry’s dynamism necessitates numerous skills and techniques to manage the competitive environment.

All of these skills, from digital marketing to data science and machine learning, can be learned through Google programs. Youth Opportunity will therefore provide you with additional information so that you can modify your future skills and knowledge. Please read the entire article to learn more about Google’s online courses.

Top 10 Google Free Online Courses 2023 Details

• Origin: Google
• Type: Free
• Category: Online Courses
• Deadline: Open

Also, Check: British Council Free Courses 2023

Benefits of Online Courses.

• The students can upskill their experience.
• You will get a chance to explore the digital world from the comfort of your home.
• You don’t have to travel anywhere
• There is no restriction on time
• You will get to experience new things

List of Top 10 Free Online Courses by Google.

1. Data Science with Python
2. Basics of Machine learning
3. Machine Learning Crash Course
4. Data Science foundations
5. Learn Python Basics for Data Analysis
6. Google Cloud Computing Foundations
7. Get Started with the Google Maps Platform
8. Google Analytics for Beginners
9. Advanced Google Analytics
10. Fundamentals of Digital Marketing

Let’s briefly discuss all these courses offered by Google.

#1. Data Science with Python.

This course will increase your knowledge about the comprehensive learning of data analysis techniques and tools. This course is 8 hours long and contains quizzes showing your progress. It is the best opportunity for students who want to become data scientists. These courses include the following modules;

• Visualization
• Data Analysis
• SciPy
• Web
• NumPy
• Natural language processing
• Web scraping.

If you want to register yourself, then apply here; Digital Python.

#2. Basics of Machine Learning.

This course is for beginners who want to learn the basics of Machine learning. You will also learn how you can grow your business. The duration of the course is one hour, which contains video lessons with assessments at the end of the lessons and free certification.

If you want to register yourself, then apply here;

To register, apply here; Machine Learning

#3. Machine Learning Crash Course.

This course is for those beginners who know how to how program but have little or no knowledge of Machine Learning. This course will increase your knowledge about the course with the 15-hour long lessons, which contain videos and text lessons. After learning, you can practice coding and know your progress.

If you want to register yourself, then apply here;

To register, apply here; Crash Course

#4. Data Science foundations.

Data Science foundations is also a course for beginners who want to learn an introduction to the data science and analytics landscape. The course duration is 1.5 hours, with six modules and quizzes for you to check your progress side by side.

If you want to register yourself, then apply here;

To register, apply here; Data Science Foundations

#5. Learn Python Basics for Data Analysis.

It is a 12-hour long course with four modules that will allow data enthusiasts to learn about Python Basics for Data Analysis. You will get to know how to learn and write data and also get a chance to work on you first algorithm. This course also consists of quizzes to help your quick learning.

If you want to register yourself, then apply here;

To register, apply here; Python Basics for Data Analysis

#6. Google Cloud Computing Foundations.

Cloud Computing is one of the in-demand courses which Google offers for free. If you have an interest in this field, then you can learn everything about the course, from could Computing Fundamentals, infrastructure, networking, and security to machine learning and AI (Artificial intelligence) in Google Cloud. This course will greatly impact your career, and you will also be provided with a free certificate.

If you want to register yourself, then apply here;

To register, apply here; Google Cloud Computing

#7. Get Started with Google Maps Platform.

It is an interesting course that will enable students to manage projects in the Google Cloud Console. You will learn how to make Web maps, attach a billing account, and add a map to your website in JavaScript. After completion, students will be awarded a free certificate.

If you want to register yourself, then apply here;

To register, apply here; Google Maps Platform

#8. Google Analytics for Beginners.

This is a course for beginners who want to learn about Google Analytics, such as; how to create an account, implement tracking code, and set up data filters. All this is available in the Google Analytics course. This course consists of four units, which will cover the following topics;

• Acquisition reports
• Behavior reports
• Tracking campaigns with URL builders etc.

If you want to register yourself, then apply here;

To register, apply here; Google Analytics

#9. Advanced Google Analytics.

You can jump on this course after getting all the basic information to increase your knowledge. This course has four units that enables the students to learn about the collection and processing of data, advanced Analytical tools, techniques, etc.

If you want to register yourself, then apply here;

To register, apply here; Advanced Google Analytics

#10. Fundamentals of Digital Marketing.

Digital marketing is expanding worldwide, and learning the skills required to do Digital Marketing will benefit students to grow in marketing. It is a 40-hour long course that contains 26 modules. It covers the following topics;