Data Analytics Bootcamp
Your pathway to becoming a Data Analyst in the UK, US, Canada, Europe, Australia and across the globe
Course Description
Step into the world of Data Analytics — a discipline where numbers tell stories and every dataset hides a secret waiting to be uncovered. This program is crafted with precision for both ambitious beginners and seasoned professionals ready to elevate their craft.
Master Essential Tools
Journey through Excel, Power BI, SQL, Tableau, and Microsoft Fabric — the essential tools that empower you to command data
Real-World Projects
Through immersive projects and case studies, learn to shape, visualize, and transform data into insights that move businesses forward
Become a Data Storyteller
Graduate with a professional portfolio showcasing dashboards that captivate, reports that persuade, and insights that define smart business strategy
With mentorship from industry experts, you'll gain the confidence to turn raw data into powerful stories that inspire decisions and innovation. Every exercise brings you closer to mastering not just analytics — but the art of data storytelling.
Why Data Analytics?
Join one of the fastest-growing fields with unmatched opportunities worldwide
Unprecedented Growth & Opportunity
2.5 quintillion bytes of data are created every day—and that pace is only quickening. That explosion of data is driving the industry that leverages it.
World Economic Forum (WEF) Future of Jobs Outlook 2023 reported that the Data Analyst role is one of the top 6 fastest growing jobs and will keep growing in demand within the next decade.
Competitive Salaries Worldwide
Data Analysts also enjoy the ability to work remotely, travel, and relocate easily, even internationally.
Master These Essential Skills
Excel for Analytics
Power BI for Business Intelligence
SQL for Analytics
Problem Solving
Tableau
Microsoft Fabric
ChatGPT for Analytics
Data Visualization
8 core competencies to launch your data analytics career
Course Modules
A structured learning path designed to take you from beginner to job-ready data analyst
- Tools and software Installation
- Welcome to Data Analytics
- Introduction to Data Analytics
- Problem Solving fundamentals
- Building a Portfolio strategy
- Optimize your LinkedIn Profile
- Introduction to Excel interface
- Excel Operations and best practices
- Understanding cell types and formats
- Formulas vs functions
- Cell referencing: relative, absolute, mixed
- Paste special, freeze panes, data validation
- Basic math functions (SUM, AVERAGE, COUNT, MIN, MAX, ROUND)
- Working with Excel Tables
- Sorting and filtering data
- Data cleaning functions: TRIM, CLEAN, SUBSTITUTE, VALUE
- Advanced data cleaning functions
- Removing duplicates, handling blanks and errors
- Flash Fill, Text-to-Columns
- Prompt engineering basics with ChatGPT in Excel
- IF, AND, OR, IFS, COUNTIF(S), SUMIF(S), AVERAGEIF(S)
- LOOKUP functions: VLOOKUP, XLOOKUP, INDEX MATCH
- Text functions: LEFT, RIGHT, MID, LEN, TEXTBEFORE, TEXTAFTER
- Error handling: IFERROR, IFNA
- Data Analyst Toolkit - Advanced Functions
- Creating and customizing PivotTables
- PivotCharts and slicers
- Dashboards: layout, formatting, interactivity
- Dashboarding Using Microsoft Excel - Advanced
- Storytelling with data in Excel
- Integrating ChatGPT for summaries and insights
- Project: Build a simple KPI dashboard from raw sales data
- Power BI Desktop walkthrough
- Data sources: Excel, CSV, Web, Databases
- Power Query Editor basics
- Changing data types, removing/reordering columns
- Appending and merging queries
- Facts vs Dimensions
- Building star schema models
- Introduction to Data Modelling
- Managing relationships and cardinality
- Creating date tables
- Introduction to DAX formulas and calculated columns
- Common DAX functions: SUM, COUNT, DIVIDE, CALCULATE, FILTER
- Intermediate Power BI (DAX and Dashboarding)
- Time Intelligence in Power BI
- Measures vs calculated columns
- Hierarchies and drill-throughs
- Visuals: Cards, KPIs, Tables, Matrix, Bar/Column, Pie, Maps
- Filters, slicers, bookmarks, tooltips
- Designing effective BI dashboards
- Advanced visualization techniques
- ChatGPT for storytelling & data summaries
- Project: Build a business performance dashboard using Power BI
- Power BI Service: publishing, sharing, workspaces
- Row-level security and data governance
- Power BI Apps and content distribution
- Scheduled refresh and data gateways
- Power BI embedding and integration
- Case study on connecting Multiple Data Sources
- Collaboration and workspace management
- What is a database?
- DBMS vs RDBMS
- Tables, rows, columns, primary keys, foreign keys
- SELECT, FROM, WHERE, ORDER BY, LIMIT
- COUNT, SUM, AVG, MIN, MAX
- GROUP BY, HAVING
- Combining filters (AND, OR, NOT, BETWEEN, IN, LIKE)
- Subqueries and nested selects
- INNER, LEFT, RIGHT, FULL JOINs
- Joining multiple tables
- SQL JOINS - Advanced techniques
- Use cases with Facts & Dimensions
- CASE statements, COALESCE, CAST, CONVERT
- Creating and managing tables
- INSERT, UPDATE, DELETE
- Connecting SQL to Excel and Power BI
- Writing complex queries and optimizing performance
- SQL Functions - Advanced
- Case study connecting Power BI to PostgreSQL
- Project: Build queries to analyze customer orders, then connect to Power BI for visualization
- Interface overview
- Introduction to Tableau
- Connecting to data sources
- Aggregations, granularity, and filters
- Calculated fields and table calculations
- Building first dashboards and stories
- Dual-axis charts, maps, parameters
- Interactive dashboards with filters and highlighters
- Data blending and joins
- Dashboard in Tableau - Advanced
- Exporting dashboards, embedding, and sharing
- Project: Create a performance dashboard with storytelling elements
- What is Microsoft Fabric?
- Overview of services: Data Factory, Data Engineering, Lakehouse, Power BI integration
- Microsoft Fabric for Analytics - Deep Dive
- Hands-on: Create a simple pipeline or lakehouse
- Fabric admin settings and best practices
- Prompt engineering for analytics with ChatGPT
- Using ChatGPT for Data Analytics - Advanced
- Using ChatGPT for SQL explanations, data summaries, dashboard commentary
- Final capstone project: Analyze and present insights for a given business case using Excel, SQL, Power BI/Tableau
- Peer presentations and feedback
- Building a Portfolio - Final Review
- Certification and portfolio guidance
Meet Your Expert Instructors
Sarah Johnson
Lead Data Analytics Instructor
Michael Chen
Senior Analytics Consultant
Dr. Emily Rodriguez
Data Science & AI Instructor
Career Opportunities
With our Data Analytics Certificate, you can work in any of these high-demand roles
Data Analyst
Business Intelligence Analyst
Financial Analyst
Marketing Analyst
Operations Analyst
Data Visualization Specialist
SQL Developer
Power BI Developer
Analytics Consultant
Reporting Analyst
Data Engineer
Business Analyst
Data Analyst
Business Intelligence Analyst
Financial Analyst
Marketing Analyst
Operations Analyst
Data Visualization Specialist
SQL Developer
Power BI Developer
Analytics Consultant
Reporting Analyst
Data Engineer
Business Analyst
Investment in Your Future
What You Get:
- 6 months instructor-led classes
- 2 months internship experience
- All course materials & certifications
- Mentorship & career guidance
- Lifetime access to materials
- Industry certification