Data Analytics with Power BI
Data Analytics with Power BI
6 Months
Classroom + Online
Turn numbers into narratives. Master the dashboards that run the boardroom.
A comprehensive Business Intelligence and Data Analytics program centred on Microsoft Power BI — the world's #1 BI tool with over 250,000 organisations as users. Learn the complete analytics stack from Advanced Excel to Python to Tableau to cloud BI, and graduate ready for one of the highest-demand, highest-paying non-programming tech roles in the GCC.
Who Should Enrol?
- Commerce, BBA, MBA, and Finance graduates seeking high-growth analytics careers
- Working professionals in accounting, HR, operations, and sales wanting to advance with data skills
- Government and bank employees seeking high-demand digital analytics capabilities
- Anyone who works with Excel and wants to move into professional-grade Business Intelligence
- Professionals seeking GCC roles in finance and operations analytics, where Power BI expertise is essential
What Will You Learn?
- Python for Business Analytics: Add programming power to your analytics toolkit. Learn Python fundamentals, data manipulation with Pandas, and automation scripting — making your analytics workflow 10x faster than manual methods.
- Pandas & NumPy for Data Processing: Handle large datasets professionally. Clean, transform, merge, and aggregate data using Python's most powerful data libraries — skills that turn raw business data into analysis-ready tables.
- SQL & MySQL for Database Querying: Retrieve data from any business database. Write SELECT queries, complex JOINs, stored procedures, aggregate functions, and subqueries — because analytics always starts where data lives.
- Advanced Excel: Pivot Tables, VBA & Power Query: Master Excel beyond VLOOKUP. Pivot Tables, complex formulas, VBA macros for automation, and Power Query for data transformation — the Excel skills that make you genuinely valuable in any business.
- Power BI Core: Data Import & DAX: Build your Power BI foundation. Connect to data sources, define relationships, write DAX measures and calculated columns, and create the data models that drive accurate business reporting.
- Power BI Advanced: KPI Dashboards & Real-Time Reports: Build boardroom-ready dashboards. Design KPI scorecards, drill-through reports, real-time streaming dashboards, and executive summaries — the Power BI output that business leaders actually use to make decisions.
- Data Modelling: Star Schema & DAX Optimisation: Build fast, scalable data models. Understand star schemas, fact and dimension tables, relationship cardinality, and DAX optimisation — the structural knowledge that separates Power BI developers from Power BI users.
- Tableau for Visual Analytics: Add Tableau to your portfolio. Build interactive dashboards, calculated fields, story points, and Tableau Public visualisations — because many companies maintain both Power BI and Tableau environments.
- Google Looker & Cloud BI: Expand into cloud analytics. Use Google Looker Studio and BigQuery to build cloud-native dashboards — the growing cloud BI ecosystem that GCC organisations are rapidly adopting.
- Predictive Analytics with Scikit-Learn: Move beyond descriptive analytics. Build forecasting models, trend analysis, and predictive reports using Scikit-Learn — adding ML capability that most business analysts don't have.
- AI Analytics: ChatGPT & Microsoft Copilot: Work with AI-powered analytics tools. Use Microsoft Copilot in Power BI and ChatGPT for data analysis acceleration, DAX generation, and insight narrative writing — the new analytics workflow.
- Business Case Projects: HR, Sales & Finance Analytics: Apply everything to real business data. Complete three business case projects — HR attrition analysis, sales performance dashboard, and financial reporting system — the portfolio that finance and operations employers immediately recognise.
Course Structure
- Business Context in Every Session: Analytics sessions always begin with the business problem — not the tool. Students learn why organisations need each analysis before how to build it, developing the analytical thinking that earns promotions.
- Live Business Dataset Projects: Work with real datasets from HR, Sales, Supply Chain, and Finance functions — not synthetic practice data. The messy, complex reality of business data is the best teacher.
- Microsoft Power BI Certification Prep: Dedicated preparation for MOS Excel Expert and Microsoft Power BI certifications — practice tests, exam strategy, and focused review of examined topics.
- Industry Visits to Analytics Teams: Structured visits to corporate analytics and finance functions — seeing how Power BI dashboards are used in real business decision-making accelerates learning faster than any lab.
- GCC Finance Analytics Placement Focus: GCC banks, trading companies, and multinationals actively seek Power BI + Finance candidates. Our placement team specifically targets these high-salary opportunities for analytics graduates.
Career Support
ARCITE School of Data Science is dedicated to your success beyond the classroom. Every program includes:
- Resume & LinkedIn Profile Building: Crafted with a specialist to match the expectations of the roles you are targeting.
- Mock Interviews: Conducted by industry professionals — timed, real-format, with specific, actionable feedback.
- Placement Drives: Active placement drives connecting graduates to hiring companies across India and the GCC.
- GCC Placement via STEP Global: Dedicated international placement support for UAE, Qatar, Saudi Arabia, Kuwait, and Bahrain opportunities.
- Coding Challenge Preparation: Weekly HackerRank and LeetCode practice to prepare for technical screening rounds.
By the End of This Program, You Will Be Able To:
- Build professional Power BI dashboards with DAX, real-time data, and KPI reporting
- Write optimised SQL queries to extract and transform business data from any database
- Automate Excel reporting with VBA macros and Power Query transformations
- Build predictive analytics models and integrate them into business reporting workflows
- Create Tableau visualisations and Google Looker dashboards for cloud analytics projects
- Demonstrate business analytics competency through three complete industry case study projects
Career Pathways After This Program
Roles you can target: Power BI Developer · Data Analyst · Business Analyst · BI Analyst · MIS Executive/Manager · Financial Analyst · Operations Analyst
Salary range: Rs. 5–18 LPA in India | AED 8,000–22,000/month in GCC