📖 12 Courses from Google you should start in 2023
Do you want to learn something new? Me too. So, I collected a great list of free courses from Google that you can start studying right now. Catch the list and happy studying!
The list contains courses related to Digital Marketing, Google Analytics, Google Maps, Python, Google Cloud, Data Science, and Machine Learning.
1. Google Analytics for Beginners
Google Analytics for Beginners shows new users how to create an account, implement tracking codes, and set up data filters. You’ll learn how to navigate the Google Analytics interface and reports, and set up dashboards and shortcuts.
The course will also demonstrate how to analyze basic Audience, Acquisition, and Behavior reports, and set up goals and campaign tracking.
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2. Advanced Google Analytics
Advanced Google Analytics walks you through how data gets collected and processed into readable reports. You’ll learn how to use configurations like Custom Dimensions, Custom Metrics, and Event Tracking to collect data that are specific to your business.
The course will also demonstrate more advanced analysis techniques using segmentation, channel reports, audience reports, and custom reports, as well as marketing strategies like remarketing and Dynamic Remarketing that show ads to customers who have visited your website.
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3. Google Analytics for Power Users
Google Analytics for Power Users builds on learners’ advanced understanding of Google Analytics. Now that you’re familiar with the range of features Analytics offers, put your knowledge into action. Learn and practice techniques for comparing users who convert with those who don’t, analyzing traffic sources that bring the most value, customizing channels for increased actionability, identifying top-performing content on your site, and improving e-commerce performance.
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4. Fundamentals of digital marketing
Master the basics of digital marketing with a free course accredited by Interactive Advertising Bureau Europe and The Open University. There are 26 modules to explore, all created by Google trainers, and packed full of practical exercises and real-world examples to help you turn knowledge into action.
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5. Get started with the Google Maps Platform
Learn about the Google Maps Platform and how to manage projects in the Google Cloud Console, then build your first interactive web maps.
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6. Google Cloud Computing Foundations: Infrastructure in Google Cloud
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide a detailed overview of concepts covering cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the course, learners will be able to articulate concepts around cloud computing, big data, and machine learning, and demonstrate some hands-on skills.
🔗 Go to the course
7. Google Cloud Computing Foundations: Networking and Security in Google Cloud
The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide a detailed overview of concepts covering cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the course, learners will be able to articulate concepts around cloud computing, big data, and machine learning, and demonstrate some hands-on skills.
🔗 Go to the course
8. Machine Learning Crash Course
This course teaches the basics of machine learning through a series of lessons that include video lectures from researchers at Google, text written specifically for newcomers to ML, interactive visualizations of algorithms in action and real-world case studies. While learning new concepts, you’ll immediately put them into practice with coding exercises that walk you through implementing models in TensorFlow, an open-source machine intelligence library.
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9. Understand the basics of machine learning
Whether it’s recommending movies or helping scientists find breakthrough cures, machine learning is a powerful new tool with untold potential. In the Understanding the basics of machine learning course videos, you’ll explore what these technologies are and how they can be applied in real life to help businesses grow.
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10. Data Science with Python
This Data Science with Python program provides learners with a complete understanding of data analytics tools & techniques. Getting started with Python can help you gain knowledge on data analysis, visualization, NumPy, SciPy, web scraping, and natural language processing. This program is an ideal kickstarter for anyone looking to become a data scientist today.
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11. Learn Python basics for data analysis
This course is designed to teach you the fundamentals of the Python programming language, especially for the purpose of data analysis. You’ll look at how to structure and group information in your program with data types, use programming logic so that your program does what you want it to and how to use and write functions so that you can save time when writing programs.
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12. Data Science Foundations
Data Science is a field which uses methods and algorithms for the extraction of information from data provided whether it is structured data or unstructured data. Due to growth in data and evolution in technology, the domain of Data Science has seen a tremendous rise. This course will give you a comprehensive introduction to Data Science and Analytics Landscape. You will learn all the fundamentals of Data Science and the Data Science Life Cycle.
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