SQL For Data Science With Google Big Query
Why take this course?
🌟 Course Title: SQL for Data Science with Google BigQuery 🌟
🚀 Headline: Unlock the Power of Data Analysis and Visualization with SQL & Google BigQuery!
📘 Course Description: Are you ready to embark on a journey into the world of data science, without prior knowledge of SQL? Dive deep into the fundamentals of SQL, the standard language for querying and manipulating databases, all the way up to advanced techniques. This course is your golden ticket to mastering SQL within the context of Google BigQuery – a robust cloud-based platform designed for real-time analysis of massive datasets.
Why You Should Enroll:
- No Prior Knowledge Required: Whether you're a beginner or looking to sharpen your skills, this course starts from the ground up and progresses through all SQL concepts and complexities.
- Google BigQuery Focus: Gain hands-on experience with one of the most popular tools for analyzing large-scale data on the cloud.
- Real-World Data Access: Get access to a treasure trove of real-world datasets as part of the Google Big Query ecosystem to apply your skills.
- Data Visualization and Insight Extraction: Learn how to transform raw data into actionable insights and compelling visualizations that tell powerful stories.
- Ongoing Learning Opportunities: Continue honing your SQL and data analysis skills through various projects on a wide array of data sets included with the course.
What's Included in the Course:
- Comprehensive Lessons: From SQL basics to advanced queries, this course covers it all.
- Hands-On Practice: Engage with real exercises to solidify your understanding and proficiency in SQL.
- Google BigQuery Tutorials: Learn how to leverage the power of Google Cloud Platform for data analysis at scale.
- Access to Data Sets: Utilize hundreds of gigabytes of real-world data to practice your new skills.
- Project Opportunities: After the course, continue to improve by working on a variety of projects using the provided datasets.
Getting Started is Easy and Free!
- Requirements: A Google account (free to sign up) and a free 12-month trial of Google Cloud Platform (GCP).
- Cost-Effective Learning: With $300 USD credit provided during your free trial, you can explore the GCP services without any financial commitment.
- Identity Verification: Sign up with a credit card or bank account details as part of the GCP verification process, but remember, you won't be charged for the free trial.
- Step-by-Step Guide: Detailed instructions on how to sign up for Google Cloud Platform and begin your data science adventure will be provided in the introductory videos of this course.
🛠️ What You Need to Begin:
- A Google account (create one here)
- A credit card or bank account details for GCP trial verification (no charges during the free trial)
- An eagerness to learn and transform data into knowledge!
Join us and become a data science expert with SQL and Google BigQuery! 📈🔍
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Comidoc Review
Our Verdict
This course is an excellent choice for beginners with no or little programming background who want to learn data analysis with SQL and BigQuery. The engaging lessons, real-world examples, and user-friendly approach make it stand out. However, be prepared for minor inconsistencies and lack of some advanced topics. With a few updates addressing these points, this course could reach its full potential for aspiring data scientists.
What We Liked
- Covers the fundamentals of SQL and BigQuery with practical examples.
- Instructor's clear instructions are beginner-friendly and easy to follow.
- Uses real-world scenarios and public datasets for an engaging learning experience.
- Well-structured lessons help build a strong foundation in data analysis using SQL and BigQuery.
Potential Drawbacks
- Some assignments have outdated answers, causing unnecessary confusion.
- Lacks advanced topics such as statistical aggregate functions and window functions.
- Minor discrepancies between quiz solutions and the current public datasets.
- Content updates are required to reflect changes in GCP dashboard and Data Studio (Looker Studio).