Data Analysis & Analytics Mastery: SQL, Tableau, Big Data & Data Centre Skills
Course Overview
The Data Analysis & Analytics Mastery course is a comprehensive programme designed to equip learners with essential and advanced skills in data management, analytics, and visualization. Covering SQL, Tableau, Big Data, and data centre management, this course prepares learners to analyse, interpret, and present data effectively for business decision-making, operational efficiency, and strategic planning.
Duration: 1 week, 1 day | Level: Intermediate | Language: English
Please Note: Thames College is a One Education approved resale partner for Quality Licence Scheme Endorsed courses.
What You'll Learn
- Foundations of data analysis and analytics principles
- SQL programming for data extraction, manipulation, and querying
- Data visualization techniques using Tableau
- Working with large datasets and Big Data tools
- Data cleaning, transformation, and preprocessing
- Data interpretation, reporting, and insights generation
- Data centre management, storage, and operational skills
- Database design, architecture, and optimization
- Advanced analytics techniques for business intelligence
- Best practices in data security, governance, and compliance
Exclusive Offer
What You'll Get
- Structured modules, covering SQL, Tableau, Big Data, and data centre skills
- Practical exercises ,real-world case studies, and hands-on projects
- Tools and techniques for data analysis, visualization, and reporting
- Knowledge of database management and data centre operations
- Transferable skills for IT, business analytics, and data-driven roles
- Certificate of completion
Frequently Asked Questions
Q: Who is this course suitable for?
A: Ideal for aspiring data analysts, business intelligence professionals, IT specialists, and anyone interested in data analytics and management.
Q: Do I need prior experience in data analysis or IT?
A: No. The course begins with foundational principles and progresses to advanced techniques.
Q: Will I learn SQL and Tableau?
A: Yes. The course includes practical, hands-on training in SQL and Tableau for data querying and visualization.
Q: Does this course cover Big Data and data centre management?
A: Absolutely. Big Data tools, datasets handling, and data centre operations are fully covered.
Q: Will I receive a certificate?
A: Yes, a certificate is awarded upon successful completion.
Course Curriculum
| Basic Data Analysis | |||
| Module 01: Introduction | 00:02:00 | ||
| Module 02: Agenda and Principles of Process Management | 00:06:00 | ||
| Module 03: The Voice of the Process | 00:05:00 | ||
| Module 04: Working as One Team for Improvement | 00:04:00 | ||
| Module 05: Exercise: The Voice of the Customer | 00:03:00 | ||
| Module 06: Tools for Data Analysis | 00:07:00 | ||
| Module 07: The Pareto Chart | 00:03:00 | ||
| Module 08: The Histogram | 00:03:00 | ||
| Module 09: The Run Chart | 00:04:00 | ||
| Module 10: Exercise: Presenting Performance Data | 00:05:00 | ||
| Module 11: Understanding Variation | 00:06:00 | ||
| Module 12: The Control Chart | 00:06:00 | ||
| Module 13: Control Chart Example | 00:04:00 | ||
| Module 14: Control Chart Special Cases | 00:06:00 | ||
| Module 15: Interpreting the Control Chart | 00:10:00 | ||
| Module 16: Control Chart Exercise | 00:07:00 | ||
| Module 17: Strategies to Deal with Variation | 00:06:00 | ||
| Module 18: Using Data to Drive Improvement | 00:14:00 | ||
| Module 19: A Structure for Performance Measurement | 00:06:00 | ||
| Module 20: Data Analysis Exercise | 00:06:00 | ||
| Module 21: Course Project | 00:03:00 | ||
| Module 22: Test your Understanding | 00:17:00 | ||
| Assignment | |||
| Assignment – Diploma in Data Analysis Fundamentals | 1 week, 1 day | ||
Certificate of Achievement
Upon completion, you will receive a CPD-accredited certificate recognised globally. Choose from:
Pdf Certificate & Transcript £7.99
Hardcopy Certificate & Transcript £17.99
This certification validates your knowledge and skills, boosting your employability in healthcare.
Access
Level
Number of Units
Duration
Course Type