Quantum Analytics

• Global EdTech Platform | • 50K+ Alumni | 89% Hired | • 65+ Countries | • Remote Internships | • Instructor-led Classes | • [email protected]

[Quantum Analytics @quantumanalyst]

@quantumanalyst, we pride ourselves on empowering our students with industry-ready skills.

Here's proof that the journey with us opens doors to new career heights.

Congratulations Oladimeji. Cheers to more wins🎉🎉

Ready to start your own success story?

Join Quantum Analytics and let’s make it happen!

Visit ur website at https://t.co/zN8A72pRqK to get started.

#successtory #edtech

[Quantum Analytics @quantumanalyst]

Your data analytics portfolio matters.

Don't just list Excel, SQL, Python, and Power BI on your CV.

Build projects that show how you used them to answer a real question, clean messy data, uncover a pattern, and present a recommendation.

Show employers how you think.

[Quantum Analytics @quantumanalyst]

Want to learn data analytics? Start with Excel.

Learn how to use:
- Pivot tables to summarise data
- XLOOKUP to find matching values
- IF to apply logical conditions
- Charts to communicate patterns

Master the fundamentals before chasing advanced tools.

[Quantum Analytics @quantumanalyst]

A dashboard is not the same as an insight.

A dashboard might show that sales dropped by 20%.

An insight explains why they dropped, which products were affected, and what the business can do next.

Don't just present numbers. Explain what they mean.

[Quantum Analytics @quantumanalyst]

Understand these 4 types of data analytics.

• Descriptive: What happened?
• Diagnostic: Why did it happen?
• Predictive: What might happen next?
• Prescriptive: What should we do about it?

Each answers a different business question.

[Quantum Analytics @quantumanalyst]

Data analytics is more than Excel.

You can use SQL to query databases, Python to automate analysis, Power BI to build dashboards, and statistics to identify patterns.

The goal isn't to use every tool. It's to know which tool solves the problem.

[Quantum Analytics @quantumanalyst]

No job experience as a data analyst yet? Build a portfolio.

Start with three projects:
Sales analysis using Excel.
Customer behaviour analysis using SQL.
An interactive dashboard using Power BI or Tableau.

For every project, explain the problem your findings, & recommendations

[Quantum Analytics @quantumanalyst]

You don't need 20 certificates to start a career in data analytics.

You need to understand the fundamentals, practise with real datasets, solve problems, and build projects that demonstrate your skills.

[Quantum Analytics @quantumanalyst]

5. Excel Shortcut Tip

Save time in Excel with these useful shortcuts:

Ctrl + Shift + L: Toggle filters
Ctrl + T: Create a table
Ctrl + Z: Undo
Ctrl + Arrow Key: Jump to the edge of a data range
Alt + =: Insert AutoSum

Small shortcuts. Less repetitive work. Better productivity.

[Quantum Analytics @quantumanalyst]

Building your first Power BI dashboard?

Don't fill it with every chart you can find.

Start with:
3–5 important KPIs
A clear trend chart
A useful category comparison
Filters that help users explore the data

A good dashboard makes answers easier to find, not harder.

[Quantum Analytics @quantumanalyst]

If you're learning Python for data analytics, start with these libraries:

Pandas: Data manipulation
NumPy: Numerical operations
Matplotlib: Data visualisation
Seaborn: Statistical visualisation

Learn the basics of Python & practise using these libraries to answer real questions

[Quantum Analytics @quantumanalyst]

If you're learning Python for data analytics, start with these libraries:

Pandas: Data manipulation
NumPy: Numerical operations
Matplotlib: Data visualisation
Seaborn: Statistical visualisation

Learn the basics of Python & practise using these libraries to answer real questions

[Quantum Analytics @quantumanalyst]

Building your first Power BI dashboard?

Don't fill it with every chart you can find.

Start with:
3–5 important KPIs
A clear trend chart
A useful category comparison
Filters that help users explore the data

A good dashboard makes answers easier to find, not harder.

[Quantum Analytics @quantumanalyst]

5. Excel Shortcut Tip

Save time in Excel with these useful shortcuts:

Ctrl + Shift + L: Toggle filters
Ctrl + T: Create a table
Ctrl + Z: Undo
Ctrl + Arrow Key: Jump to the edge of a data range
Alt + =: Insert AutoSum

Small shortcuts. Less repetitive work. Better productivity.

[Quantum Analytics @quantumanalyst]

You don't need 20 certificates to start a career in data analytics.

You need to understand the fundamentals, practise with real datasets, solve problems, and build projects that demonstrate your skills.

[Quantum Analytics @quantumanalyst]

No job experience as a data analyst yet? Build a portfolio.

Start with three projects:
Sales analysis using Excel.
Customer behaviour analysis using SQL.
An interactive dashboard using Power BI or Tableau.

For every project, explain the problem your findings, & recommendations

[Quantum Analytics @quantumanalyst]

Here's a data analysis mistake beginners should avoid.

Don't delete missing values immediately.

First, investigate why they're missing

[Quantum Analytics @quantumanalyst]

A simple SQL tip that can save you hours.

Learn how to use GROUP BY with aggregate functions like COUNT(), SUM(), and AVG()

You can use them to:
Count orders by product.
Calculate revenue by month.
Find average sales by region.

SQL is useful when you use it to answer questions

[Quantum Analytics @quantumanalyst]

5 Excel functions every beginner data analyst should know:

SUMIF — adds values that meet a condition.
COUNTIF — counts cells that meet a condition.
XLOOKUP — finds matching information.
IF — applies logical conditions.
IFERROR — handles formula errors.

Practise using them!

[Quantum Analytics @quantumanalyst]

Stop learning Excel without practising this.

Pick a messy dataset and practise cleaning it.
Remove duplicates.
Fix inconsistent formatting.
Handle missing values.
Check for errors.

Learning to clean it is one of the most valuable skills you can develop as a data analyst.

[Quantum Analytics @quantumanalyst]

A new day means another opportunity to learn something new.

Today, try solving one small problem with Excel, practise a SQL query, or explore a dataset you've never worked with.

Small steps count. Keep learning, keep growing