Course
Data Analytics & Business Intelligence
Move from “I opened a spreadsheet” to “here is what the data suggests”, with charts, short summaries, and plain language.
- Beginner-friendly
- No prior experience needed
- Practical training
What you will be able to do
- Take a messy sheet and turn it into a clean table you can trust
- Pick the right chart type for a simple business question
- Write a half-page “so what?” summary a manager can use
- Explain limitations and assumptions like a junior analyst would
What you will learn
- Frame a business question and decide what to measure
- Clean and check data before you analyze
- Build summaries, simple charts, and “so what?” takeaways
- Present findings in plain language, not jargon
Tools you will use
- Microsoft Excel or Google Sheets (analysis and pivot-style work)
- Intro to Power BI or Looker Studio-style dashboards (concepts and simple builds)
- Chart and table patterns used in real reports
- Light documentation of sources and assumptions
Learn by doing
Each topic ends in a mini-project: a question, a small dataset, and a deliverable (table + chart + short explanation).
Example tasks
- Clean a sample sales or ops sheet and flag obvious issues
- Build one dashboard-style view and explain one insight
- Record a short written takeaway you could paste into email or Slack
Real-world angle: You practice on scenarios like sales trends, operational metrics, or campaign results, and explain what the numbers suggest for a decision.
Who this course is for
Fits students, job seekers, beginners, and career switchers. We start from where you are.
Course details
- Duration
- 60-90 days
- Mode
- Online live sessions + project practice (pacing designed for working learners where possible)
- Support
- WhatsApp for doubts, structured milestones, and feedback on practice work
Why this course
- Practical learning: projects look like junior analyst work samples
- Beginner-friendly: we introduce analysis in steps, not all at once
- Real tools: spreadsheets plus intro BI-style reporting
- Step-by-step guidance: from question to chart to story
Common questions
Do I need math or statistics first?
Basic arithmetic and logical thinking are enough to start. We introduce concepts as you need them for each task.
Is Power BI mandatory?
We use widely available tools. Exact stack may vary by batch; the focus is on how to think and present data, not one vendor only.
Will I be a data scientist after this?
No. This is oriented toward business analytics and reporting foundations, not advanced modeling.
Can I do this while job searching?
Yes. The timeline is designed for steady weekly practice. Tell us your constraints and we can suggest a sustainable pace.