Free SQL 101 Class Bootcamp Beginners Intro to SQL NYC

🚀 Gentle Introduction to SQL for Analytics: A Bootcamp for Non Programmers 🌆

Welcome to the SQL 101 Bootcamp, tailored for beginners who aspire to master SQL for data analytics without prior programming experience. This one-day hands-on course, led by the experienced Shivgan Joshi, is designed to be a gentle yet comprehensive introduction to SQL, specifically optimized for those based in or interested in NYC's vibrant tech scene.

Why Take This Course? 🤔

• Practical Skills for Real-World Applications: Learn to create a database design for your day-to-day work data that you currently manage in Excel.
• Analytical Insights: Understand the capabilities and limitations of SQL for analytical tasks, making you more efficient in handling data.
• Data Wrangling Mastery: Get hands-on experience with Group By, Joins, UNION, and other wrangling techniques to shape your data exactly as you need it.
• Insights Across Data Types: Learn how new data types and tools can open up new insights in your analytics.
• Excel Equivalents: Translate SQL commands into their Excel equivalents for a seamless transition between tools.
• Common Data Wrangling Terminology: Gain understanding of common terms used across different programming languages, enhancing your data analytics communication skills.

Course Highlights:

• 🗺️ Understanding SQL for Analytics: Discover why SQL is a must-have skill to overcome Excel's limitations.
• 🛠️ SQL Server Database Interaction: Learn how to connect to and execute queries on a SQL Server database.
• 🔍 Conditional Searching: Include search conditions in your queries to refine your data retrieval.
• 📊 Data Calculations & Formatting: Utilize various functions for calculations and organize your results before display.
• 🏙️ NYC Data Application: Apply your new skills using actual New York City datasets, providing real-world context and experience.

What You'll Learn:

1. DB Design Basics: Create a database design tailored to your data needs.
2. Analytical Capabilities: Understand the scope of what SQL can do for your analytical processes.
3. Data Wrangling Techniques: Learn how to wrangle data using GROUP BY, JOINs, and UNION to get your data in the desired format.
4. Insights from New Data: Discover how new data types can provide fresh insights.
5. Excel & SQL Function Equivalents: Find out how SQL functions relate to Excel functions for seamless transitioning.
6. Data Wrangling Terminology: Understand the common terms used in data analytics across various programming languages.
7. Connecting to Databases: Learn how to connect to a SQL Server and execute a simple query.
8. Query Conditions: Include search conditions in your queries to narrow down results.
9. Calculations with SQL: Use SQL functions to perform calculations on your data.
10. Data Organization: Organize the data obtained from a query for better visualization and analysis.
11. Hands-On with NYC Data: Utilize New York City datasets in your hands-on learning experience.

Join Us for an Unforgettable Learning Experience! 📚 This Bootcamp is designed to be an immersive, one-day journey into the world of SQL. By the end of this course, you'll have a solid understanding of SQL and how it can be leveraged for data analytics, with a focus on practical application that will benefit your professional life immediately. Sign up today and transform the way you handle and analyze data! 🌟

🌟 Course Review for Learning SQL 🌟

Overview

This course has garnered a global rating of 4.60 from recent reviews, reflecting the varied experiences and opinions of learners who have engaged with the material. The course serves as an introductory guide to SQL (Structured Query Language) for beginners and professionals looking to expand their skill set. It appears to be well-received for its foundational content and practical examples, although some areas could benefit from clearer explanations and more comprehensive coverage of basic concepts.

Pros

• Foundational Understanding: Many learners appreciated the course for providing a solid overview before diving into practical applications, which is ideal for those who prefer theoretical knowledge first.
• Beginner-Friendly: It was considered very good for starters in SQL and received high praise from beginners who had minimal exposure to SQL previously.
• Clear Explanations: The instructor took his time explaining each section while sharing his screen, which was highlighted as a valuable aspect of the course by some learners.
• Practical Examples: The course was noted for its practical examples and the usefulness of the websites provided for further research.
• Engaging Format: The interview-style questions at the end of the course were deemed helpful, especially for those preparing for job interviews.
• Accessibility: Even learners with minimal English proficiency found the course beneficial and rewarding.
• Flexible Learning: Some learners recommended following along with a second monitor to practice as they learn, which is a testament to its hands-on approach.
• Free Introduction: The free nature of the course was appreciated, allowing learners to establish a foundation of understanding and knowledge of SQL without any financial commitment.

Cons

• Technical Issues: Some tools within the lectures were reportedly not working, which can be distracting and detract from the learning experience.
• Complexity for Beginners: A few learners felt that the course jumped into technicalities before adequately explaining basic commands. This could make it challenging for absolute beginners.
• Incomplete Explanations: Some users pointed out that they were missing background info, indicating that certain concepts or steps were not as thoroughly explained as needed.
• Pacing Issues: A minority of learners found the pace too fast, necessitating them to repeat chapters to fully grasp the content.
• Expectation of More Advanced Content: While beginners found it useful, some who already had a basic understanding of SQL were looking for more advanced topics, such as geological or mining data analysis.

Additional Notes

• Course Structure: The section on the introduction could be much better, according to one reviewer, suggesting there may be room for improvement in how the course starts.
• Feedback for Further Learning: There were calls for more courses on Data Analytics and related topics, indicating a high demand for expanded content.

In summary, this SQL course is highly regarded for its beginner-friendly approach and practical examples but faces some challenges with technical issues, pacing, and the depth of explanation for foundational concepts. It's a valuable resource for those new to SQL or looking for an introductory refresher, particularly when paired with hands-on practice. As noted by several learners, additional resources or a more gradual progression from basic to complex topics could enhance the overall learning experience.