SQL for Data Science, Data Analytics and Data Visualization with Data Analyst Training
Instructor-Led Online Course | CPD Certified Diploma | Video Training | FREE Exam | 24/7 Tutor Support | Self-Paced
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Summary
- CPD Accredited Certificate - £4.99
- Exam(s) / assessment(s) is included in price
- Tutor is available to students
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Overview
Welcome to SQL for Data Science, Data Analytics and Data Visualization one of our premium, instructor-led courses designed to provide you with a comprehensive learning experience. This course is CPD QS-accredited and is listed on the UK Register of Learning Providers (UKRLP). The SQL for Data Science, Data Analytics and Data Visualization is a perfect choice for both professionals looking to upgrade their skills and individuals keen to delve into a new subject.
This SQL for Data Science, Data Analytics and Data Visualization course focuses on equipping you with knowledge and skills that can be applied in real-world situations. Each module of the SQL for Data Science, Data Analytics and Data Visualization has been carefully curated by industry professionals and trainers, ensuring the content is up-to-date and aligned with the latest trends and best practices.
Topics Covered
- Getting Started
- SQL Server setting up
- SQL Azure Data Studio
- SQL Database basic SSMS
- SQL Statements for DATA
- SQL Data Structure statements
- SQL User Management
- SQL Statement Basic
- Filtering Data rows
- Aggregate functions
- SQL Query statements
- SQL Group by statement
- JOINS for Multiple table Data Analysis
- SQL Constraints
- Views
- Advanced SQL commands
- SQL Stored procedures
- Azure Data Studio Visualization
- Azure Studio SQL for Data Analysis
- Import & Export data
- Backup and Restore Database
Free Course: Introduction to Data Analysis
- Agenda and Principles of Process Management
- The Voice of the Process
- Working as One Team for Improvement
- Exercise: The Voice of the Customer
- Tools for Data Analysis
- The Pareto Chart
- The Histogram
- The Run Chart
- Exercise: Presenting Performance Data
- Understanding Variation
- Interpreting the Control Chart
- Strategies to Deal with Variation
- Using Data to Drive Improvement
- A Structure for Performance Measurement
- Data Analysis Exercise
Our SQL for Data Science, Data Analytics and Data Visualization course also offers dedicated tutor support. As you navigate through the course, you'll have direct access to experienced tutors who are ready to guide you through each step of your learning journey. The SQL for Data Science, Data Analytics and Data Visualization course is delivered in a live online format so that you can participate from anywhere in the world. Get lifetime access to the course after you enrol in the course.
Don't miss out on the opportunity to upskill and expand your professional horizons. Enrol in the SQL for Data Science, Data Analytics and Data Visualization today and start your journey towards achieving your career goals.
Why should you study with studyhub?
- UKRLP-Registered provider
- Instant Results
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- Lifetime Access
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Certificates
CPD Accredited Certificate
Digital certificate - £4.99
Hardcopy Certificate - £8
PDF Transcript - £4.99
Hardcopy Transcript - £9.99
CPD
Course media
Description
The SQL for Data Science, Data Analytics and Data Visualization is a meticulously crafted, comprehensive course that aims to bring out the best in its learners. This instructor-led course focuses on delivering high-quality content, complemented by practical examples and real-world scenarios. SQL for Data Science, Data Analytics and Data Visualization is a comprehensive course that covers all the essential topics. Regardless of your previous experience or knowledge in the field, SQL for Data Science, Data Analytics and Data Visualization is designed to be a stepping stone towards achieving your career goals.
Who is this course for?
This SQL for Data Science, Data Analytics and Data Visualization course is ideal for:
- Professionals looking to enhance their skills in the subject
- Beginners eager to gain foundational knowledge in SQL for Data Science, Data Analytics and Data Visualization
- Individuals keen on shifting their careers and stepping into the field of SQL for Data Science, Data Analytics and Data Visualization
- Students who want to complement their academic knowledge with skills in SQL for Data Science, Data Analytics and Data Visualization
- Anyone who has a passion for learning and wants to explore the concepts of SQL for Data Science, Data Analytics and Data Visualization
- MCSA: SQL 2016 Database Administration
- MCSA: SQL Server 2012/2014
- Microsoft Certified Solutions Associate (MCSA) SQL Server
- BCS Foundation Award Data visualisation
Requirements
No prior knowledge is necessary to enrol in the SQL for Data Science, Data Analytics and Data Visualization course.
Career path
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Database Administrator
- Data Engineer
- Data Architect
- SQL Developer
- Data Visualization Specialist
- Reporting Analyst
- Database Consultant
Questions and answers
Hi Thanks for reply, Is the exam multiple choice question and exam done from home?
Answer:Dear Hamza, Good Afternoon. Yes, the exam can be taken from anywhere as it is automated and fully online.
This was helpful.Hi, Why does say only 7 hour, Is this course lifetime? How this course run by video or PDF? Thanks
Answer:hello Hamza, The course duration is 7 hour and self paced. You will get lifetime access. This course consist of videos.
This was helpful.
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.