Google offers 5 free courses with certificates in 2023 » Voice of Nigeria
Learn new skills and boost your resume with Google’s 5 free online courses in 2023. Earn certificates upon completion.
Technology has experienced a notable transformation in recent years. This transformation has given rise to new disciplines like data science.
Data science involves converting raw and quantitative data into meaningful information. The data can be analyzed, visualized, and stored for later use.
Data science requires a combination of hard skills and soft skills. Hard skills include proficiency in programming languages like Python and SQL.
Soft skills include effective communication and business acumen. While there are many data science programs available online, only a few offer comprehensive courses.
This article focuses exclusively on limited courses that provide a brief introduction to data science. Google launched five free courses with certifications to meet the demand for data science education.
The courses are tailored for those pursuing a career in data science. They’re accessible to all, a valuable resource for anyone interested in the field.
List of free data science courses by Google
1. Data Science
- Course covers structured and unstructured data, giving a well-rounded understanding of data extraction.
- Offers an overview of Data Science and Analytics, including technology’s impact and evolution.
- Thoroughly introduces Data Science fundamentals and lifecycle, including preprocessing, analysis, and visualization.
- Includes real-world examples and case studies, allowing learners to apply knowledge practically.
- Covers popular programming languages and tools like Python and SQL for success in the field.
- Designed for learners of all levels, from beginners to experienced professionals.
- Self-paced course allows learners to study at their own convenience and speed.
- Interactive quizzes and assessments help learners check understanding and track progress.
- Course has diverse learning experience with video lectures, interactive exercises, and quizzes.
- Upon completion, learners receive a certificate from Google to showcase skills and knowledge to employers.
2. Python basics for Data Analytics
- Python basics for Data Analytics course covers the fundamentals of the Python programming language.
- The course is specifically designed for data analysis purposes.
- It covers how to structure and group information in a program with data types.
- The course teaches programming logic to ensure programs function correctly.
- It also covers how to write and use functions to save time when writing programs.
- The course is suitable for beginners who want to learn Python for data analysis.
- It includes hands-on exercises to help learners practice and apply their skills.
- The course is self-paced, allowing learners to work at their own speed and convenience.
- It provides a solid foundation for those looking to advance their skills in data analytics.
- Upon completion, learners receive a certificate of completion from Google.
3) Machine Learning Crash Course
- Machine Learning Crash Course offers an introduction to machine learning concepts.
- The course includes video lectures, written materials, visualizations, and case studies.
- Learners gain hands-on experience with coding exercises using TensorFlow.
- The course covers supervised and unsupervised learning algorithms, model selection, overfitting, and regularization.
- Suitable for beginners and experienced learners.
- Self-paced, allowing learners to work through materials at their convenience.
- Course materials designed for accessibility to learners of all levels.
- Develop machine learning models and implement them in TensorFlow.
- Upon completion, learners receive a certificate from Google.
- Gain skills in machine learning development and implementation.
4. Data Science with python
- Comprehensive introduction to data analytics tools and techniques
- Complete understanding of Python’s data analysis and visualization capabilities
- Covers essential libraries such as NumPy, SciPy, web scraping, and natural language processing
- Develops skills and knowledge necessary to become a successful data scientist
- Accessible to learners of all levels, from beginners to experienced professionals
- Self-paced course, allowing learners to work at their own convenience
- Includes practical exercises and projects to apply learned concepts
- Covers data wrangling, cleaning, transformation, and exploration
- Provides insights into statistical modeling and machine learning
- Upon completion, learners receive a certificate of completion from Google.
5. Basics of Machine Learning
- Basics of Machine Learning explores fundamental concepts of machine learning.
- It teaches real-life applications and potential of machine learning technologies.
- The course covers various machine learning algorithms and how businesses can utilize them.
- Insights provided for businesses to grow and succeed using machine learning techniques.
- Industry experts and practitioners provide video lectures for the course.
- Learners will understand supervised and unsupervised learning algorithms.
- Accessible for all learners, from beginners to experienced professionals.
- Self-paced learning allows for convenience and flexibility.
- Topics include data preprocessing, feature engineering, and model evaluation.
- Upon completion, learners will have a strong understanding of the basics of machine learning.
