SQL for Beginners - Level 1
- Beginner
- 18 and older
- $270
- Earn 2,700 reward points
- 845 3rd Ave, New York, NY
- 3 hours
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Thankfully we have 12 other SQL Classes for you to choose from. Check our top choices below or see all classes for more options.
Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
Master the art of turning raw data into actionable insights with SQL queries. This hands-on course will teach you how to filter, group, and join data, as well as use advanced techniques like subqueries and aggregate functions. Gain the skills to excel in any data-driven industry and make more informed decisions.
Apr 30th
10am–5pm EDT
Meets 3 Times
May 20th
10am–5pm EDT
Meets 3 Times
Jun 10th
10am–5pm EDT
Meets 3 Times
This class has 4 more dates.
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Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
Unlock the power of databases with personalized SQL training. Master the art of querying, filtering, and aggregating data using PostgreSQL, gaining essential skills applicable across various database platforms. Transform
Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
In this course, students will master Excel, SQL, and Tableau, some of the top data analytics tools. Here, students will gain the skills to organize, analyze, summarize, and visualize data, presenting actionable insights for effective decision-making. Comprehensive classroom training in Midtown Manhattan.
May 13th
10am–5pm EDT
Meets 8 Times
May 14th
6–9pm EDT
Meets 16 Times
Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
Unlock the power of SQL and relational databases with this comprehensive course. Learn how to write SQL queries, filter results, and combine data from multiple tables, all while gaining a strong foundation in database architecture. Master the fundamentals of SQL at Noble Desktop.
May 14th
6–9pm EDT
Meets 2 Times
May 28th
10am–5pm EDT
This class has 3 more dates.
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Noble Desktop @ 185 Madison Ave, New York, NY & Virtually Online
Take your SQL skills to the next level with this advanced course at Noble Desktop. Learn how to use subqueries, views, functions, stored procedures, and more to manipulate and analyze data in databases. Gain in-depth techniques that will prepare you for a job in data analysis or data science.
May 28th
6–9pm EDT
Meets 2 Times
May 30th
10am–5pm EDT
This class has 3 more dates.
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Duration: 6 Hours total (3 HOURS ONSITE TRAINING + 3 HOURS OF ONLINE ZOOM TRAINING)
This training program is designed to address all the major topics required to get started with Analytics in SQL with no prior experience necessary.
The program helps in critical thinking and implementation:
OTHER AREAS COVERED
Why will this workshop help you?
The 3-hour on-site workshop will get you started with data analytics using SQL, which is one of the most commonly used tools for data analytics. A wide range of organizations and businesses in all industries use SQL for data analytics. SQL can serve as the solution for Microsoft Excel’s limitations. This training workshop will get you acquainted with how you can use SQL in your everyday work. No prior experience is necessary.
You will be trained on:
What you’ll take away from this course:
What to Bring:
If you enroll for a course that is scheduled to begin in under 7 days, you must request cancellation via email within the first 24 hours after enrollment in order to receive a full refund - less $50 processing fee.
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EBS Corp aims to empower executive-level, business, and working professionals with our technical skills development programs. Our programs focus on Data Science, Machine Learning, Artificial Intelligence, Blockchain, SQL, and Python. We offer tech mentorship, career consultation, web development, bootcamps,...
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Extensive Business Solutions Corp.
Midtown East, Manhattan
845 3rd Ave 6th Fl
Btwn E 51st & 52nd Streets
New York, New York 10022 Midtown East, Manhattan
845 3rd Ave 6th Fl
Btwn E 51st & 52nd Streets
New York, New York 10022
Easy access from E, M, 6 train at Lexington 53rd Street, take 3rd Avenue 53rd Street Exit, then 1 min walk towards downtown.
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