Exploring and Preparing your Data with BigQuery Overview
This Exploring and Preparing your Data with BigQuery provides an introduction to data warehousing with a focus on using Google BigQuery. Through a series of guided lessons, you will learn how to explore, manage, and analyse large datasets efficiently. By the end of this course, you will be able to leverage the power of BigQuery to drive decision-making in your organisation.
Learning Outcomes
- Understand the basic concepts and benefits of data warehousing and how it integrates with BigQuery.
- Navigate the BigQuery interface confidently to create and manage datasets.
- Execute simple to complex queries to extract insights from large datasets.
- Apply best practices in data exploration to identify trends and patterns.
- Construct and manage virtual data models using views in BigQuery.
- Visualise data effectively to communicate findings clearly.
- Develop skills to optimise data queries to reduce costs and improve performance.
- Gain practical experience through hands-on labs to build and refine SQL queries.
- Learn to secure datasets and manage data access effectively.
- Prepare for advanced topics in data analysis and warehouse management.
Who Is This Course For
This course is designed for data professionals, including analysts, engineers, and scientists, who wish to enhance their skills in managing and analysing large datasets using Google BigQuery. It is also suitable for IT professionals who are involved in data-driven decision making and are looking to adopt more efficient tools for data management and analysis.
Eligibility Requirements
This course is best suited for individuals with a basic understanding of databases and a keen interest in data analysis. Prior experience with SQL or any programming language will be beneficial but not mandatory. Enthusiasm for digging into data and transforming it into actionable insights is essential.
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
This course will ptovides participants with the skills to advance their careers in data analysis and data engineering. Mastery of BigQuery opens doors to roles focused on big data solutions, business intelligence, and data warehousing projects. This course lays the foundation for further specialisation in machine learning and large-scale data processing roles.