Intensive Bootcamp
Data Analyst -Microsoft Certified: Power BI Data Analyst Associate
Programme Update
Overview:
The Microsoft Certified: Power BI Data Analyst Associate course at London Vesta College is an intensive, hands-on program designed to prepare you for the PL-300: Analysing Data with Microsoft Power BI certification exam. This certification is one of the most sought-after qualifications in the field of data analytics, and passing the exam will validate your ability to work with Microsoft’s Power BI to analyse, model, and visualize data effectively.
This course is perfect for individuals looking to advance their career in data analytics, business intelligence, and reporting. Whether you are starting from scratch or want to deepen your existing knowledge, this course will equip you with the essential skills to confidently take the DA-100 exam.
Course Details:
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Duration: 10 weeks (3 hours per week)
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Start Date: Available year-round (flexible scheduling)
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Mode of Delivery: Virtual classroom
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Level: Beginner to Intermediate
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Course Fee : Affordable with payment plans available
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Prerequisites: Basic knowledge of data and analytics concepts. Familiarity with Microsoft Excel is helpful but not required.
Key Learning Outcomes:
Upon successful completion of the course, students will be able to:
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Prepare Data
: Clean, transform, and load data from multiple sources into Power BI.
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Model Data
: Design data models, create measures using DAX (Data Analysis Expressions), and optimize data models for performance.
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Analyse Data
: Use various techniques to analyse data and derive actionable insights.
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Visualize Data
: Create interactive visualizations and dashboards in Power BI to communicate insights clearly.
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Deploy and Maintain Assets
: Publish reports, manage datasets, and configure Power BI service for collaboration and sharing.
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Prepare for the PL-300 Exam
: Get ready for the Microsoft Certified: Power BI Data Analyst Associate certification exam with exam-focused training and mock tests.
Curriculum Overview
The Microsoft Certified: Power BI Data Analyst Associate course is divided into the following modules:
Module 1: Introduction to Data Analysis with Power BI- Overview of Power BI tools and components, Introduction to Power BI Desktop and Power BI Service, Data analysis workflow in Power BI, Importing and transforming data
Module 2: Preparing Data in Power BI- Connecting to various data sources (Excel, SQL, Web, etc.), Cleaning and transforming data using Power Query Editor, Creating relationships between tables, Handling missing or inconsistent data
Module 3: Modelling Data and Advanced DAX- Understanding data modelling concepts in Power BI (Star vs. Snowflake schema), Managing relationships and data model optimization, Introduction to advanced DAX functions, Advanced DAX functions (CALCULATE, ALL, RELATEDTABLE, RANKX), Performance optimisation with DAX
Module 4: Analysing Data & Performance Optimisation- Exploring and analysing data using visualisations, Using Quick Measures and aggregation techniques, Implementing time-based analysis with DAX, Creating and applying filters to focus analysis, Performance optimisation -Aggregations, DirectQuery vs. Import Mode, Composite Models
Module 5: Data Visualisation - Creating basic and advanced charts and graphs, Designing interactive reports and dashboards, Using slicers, bookmarks, and tooltips for enhanced interaction, Implementing conditional formatting in visualisations, Designing reports for different devices and audiences
Module 6: Deploying & Managing Power BI Solutions- Publishing reports to Power BI Service, Managing datasets, data refresh, and security settings, Sharing reports with stakeholders and configuring access permissions, Collaborating using Power BI workspace, Setting up Power BI apps and creating dashboards in Power BI Service, Power BI Governance (Dataflows, Sensitivity Labels, Auditing, RLS)
Module 7: Exam Preparation and Practice- Real-world end-to-end project, Review of key topics for the PL-300 exam, Practice exams and mock test, Tips for time management during the exam, Common pitfalls and how to avoid them, Final Q&A and exam preparation strategies
Assessment and Certification
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Throughout the course, students will complete practical assignments to apply their knowledge and skills.
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At the end of the course, students will take a final exam to assess their understanding of the course material.
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Students who complete the course and pass the final assessment will receive a Certificate of Completion from London Vesta College.
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Upon successful completion of this course, students will be well-prepared to sit for the
Microsoft Certified: Power BI Data Analyst Associate certification exam.
Why Choose London Vesta College?
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Expert Instructors
: Learn from experienced instructors who are experts in data analytics and Microsoft Power BI.
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Hands-on Experience
: Gain practical, real-world experience through exercises, assignments, and live projects.
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Flexible Learning Options
: Choose between in-person classes at our London campus or join our online virtual classroom from anywhere.
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Career Support
: Take advantage of career services and job placement assistance to help you advance in your career after completing the course.
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Industry-Relevant Content
: Learn the skills and tools most demanded by employers in the data analytics and business intelligence field.
How to Enrol
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Visit our course page on the London Vesta College website.
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Fill out the online application form with your details.
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Once enrolled, you will receive access to course materials and be invited to join the virtual classroom (if applicable).
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Start your journey toward becoming a Microsoft Certified Data Analyst!
We’re not currently offering Skills Bootcamps. Reach out and we’ll help you choose the best alternative, including our Level 3 Apprenticeships and other pathways that fit your goals.
Want to explore options yourself? Browse our apprenticeships or speak with our team.
Duration
Schedule
Monday-Friday, 9am-5pm
Format
Live Online Classes
Class Size
Max 20 students
Pay Upfront
Save 10%
Monthly Plans
0% APR available
Income Share
Pay after you're hired