Data analysis foundations
Define business questions, collect reliable data, work ethically, and understand descriptive, diagnostic, predictive, and prescriptive analysis.
Course 01 / Analytics pathway
Data Analytics
Learn the complete analyst workflow: define the question, prepare data, query with SQL, model in Power BI, build dashboards, and communicate useful insights.
Course overview
Build an analyst's toolkit from the ground up.
This program brings together data analysis principles, spreadsheet analysis, database querying, and business intelligence. You will work through the same prepare, model, visualise, analyse, and manage cycle used in professional reporting.
Best forStudents, career changers, and professionals who want a structured entry into analytics
Core toolsExcel, SQL, Power Query, Power BI, and DAX
You will buildA clean data model, interactive dashboard, and insight presentation
ProgressionPower BI analyst work, reporting roles, or Python analytics
Real datasetsCleaning and analysis practice
SQL queriesBasic through advanced analysis
Power BIPL-300-style analyst workflow
CapstonePortfolio-ready business report
Essential curriculum
What you will learn
The detailed handouts have been organised into six practical stages, with less emphasis on theory repetition and more emphasis on decisions and output.
Cleaning, exploration, and Excel analysis
Remove duplicates, handle missing values, standardise fields, use summary statistics, and explore trends, distributions, anomalies, and KPIs.
SQL for structured data
Query tables with SELECT, WHERE, sorting, grouping, aggregate functions, joins, subqueries, views, constraints, and practical database logic.
Power Query and data preparation
Connect to files and databases, correct data types, profile data, replace errors, merge and append queries, and create repeatable transformation steps.
Power BI modelling and DAX
Design a star schema, build relationships, create date tables, write measures, use time intelligence, and improve model performance and security.
Dashboards, analysis, and publishing
Choose appropriate visuals, add filters and drillthrough, explain outliers and trends, publish to the Power BI service, manage refresh, and apply row-level security.
Practical outcomes
Skills you can demonstrate after the course.
Prepare trustworthy dataTurn inconsistent source files into structured, documented analysis tables.
Query business databasesUse SQL to filter, combine, summarise, and validate structured information.
Build semantic modelsConnect fact and dimension tables and create reusable business measures.
Design useful reportsSelect visuals, filters, and navigation that match the audience and task.
Explain findingsTranslate patterns, outliers, and KPIs into concise business recommendations.
Manage Power BI outputPublish, refresh, secure, and distribute reports through a professional workflow.
Portfolio capstone
Take a business dataset from question to dashboard.
Your capstone brings the full workflow together. You will prepare and query source data, build a reusable model, create an interactive report, and present the decisions supported by your findings.
01Cleaned and documented source data
02SQL query set and validation checks
03Power BI model with DAX measures
04Interactive dashboard and insight summary
Admissions
Ready to start your analytics pathway?
Ask about the next batch, course level, fees, and learning format on WhatsApp.