Google Cloud Platform Big Data and Machine Learning Fundamentals Overview
This course on Google Cloud Platform Big Data and Machine Learning Fundamentals offers an in-depth exploration of cloud-based big data and machine learning technologies. You’ll start with the basics of data warehousing and quickly progress to more advanced topics like data flow, virtual data management, and data visualisation using Google’s powerful BigQuery tool.
Learning Outcomes
- Understand the fundamentals of data warehouses and their role in big data analytics.
- Gain proficiency in using Google BigQuery for data analysis.
- Perform your first data exploration to uncover patterns and insights.
- Learn the basics of data flow within cloud environments.
- Dive deeper into the functionalities and features of BigQuery.
- Create and manage virtual data views to streamline workflows.
- Apply techniques for effective data visualisation to communicate findings.
- Develop skills to write intermediate-level SQL queries for complex data analysis.
- Appreciate the importance of scalable data architecture in supporting big data initiatives.
- Master the integration of machine learning capabilities with big data tools for predictive analytics.
Who Is This Course For
This course is designed for IT professionals, data analysts, and anyone with a foundational knowledge of database concepts who wishes to expand their skill set in big data and machine learning on the Google Cloud Platform. It is ideal for those looking to leverage cloud technologies for data processing, analysis, and visualization, and it provides valuable skills that are increasingly in demand across various industries.
Eligibility Requirements
Candidates for this course should have a basic understanding of database structures and a genuine interest in data science and machine learning. Prior experience with SQL and a foundational knowledge of programming are recommended to benefit from the course materials fully. This course is particularly suitable for those looking to enhance their technical skills in cloud-based technologies.
Entry Requirements
- Age Requirement: Applicants must be 16 or older, making the course accessible to both young learners and adults.
- Academic Background: No prior qualifications required, open to all backgrounds.
- Language Proficiency: A good understanding of English is essential, as all lessons are in English.
- Numeracy Skills: Basic writing and numeracy skills are needed to follow the course content.
Why Choose Us
- Affordable, engaging & high-quality e-learning study materials;
- Tutorial videos/materials from the industry-leading experts;
- Study in a user-friendly, advanced online learning platform;
- Efficient exam systems for the assessment and instant result;
- The UK & internationally recognised accredited
- Access to course content on mobile, tablet or desktop from anywhere, anytime;
- The benefit of career advancement opportunities;
- 24/7 student support via email.
Career Path
Upon completion of this course, participants will be well-equipped to pursue careers in cloud computing and data science. Opportunities include roles in project management, data analysis, and machine learning engineering where proficiency in big data tools and technologies is crucial. This course also serves as a stepping stone towards more advanced certifications and roles that focus on architecting and managing big data solutions on cloud platforms.