Data Analytics

Turn raw data into decisions, in 6 weeks.

A live, mentor-led cohort teaching real-world data analysis with Excel, SQL, Power BI, and Tableau, delivered over Zoom and Google Meet.

Registration closed View curriculum

What you'll learn

Clean, transform, and analyze real datasets using Excel and SQL

Build interactive dashboards and reports with Power BI and Tableau

Write efficient SQL queries to extract insights from relational databases

Apply statistical thinking to spot trends and outliers in business data

Present findings clearly through data storytelling and reporting

Build a portfolio of real analytics projects for job applications

Full curriculum

Four weeks, four modules, one live cohort.

Week 1: Excel Fundamentals & Data Cleaning
1 week u00b7 Live sessions + labs
  • Core Excel functions, pivot tables, and formulas for analysis
  • Cleaning and structuring messy real-world datasets
  • Best practices for reliable, repeatable spreadsheets

Outcome: A cleaned, analysis-ready dataset with summary pivot tables.

Week 2: SQL for Data Analysis
1 week u00b7 Live sessions + labs
  • Writing SELECT, JOIN, and GROUP BY queries
  • Filtering and aggregating relational data
  • Querying real business databases for insights

Outcome: A set of SQL queries answering real business questions.

Week 3: Data Visualization with Power BI
1 week u00b7 Live sessions + labs
  • Connecting and modeling data sources in Power BI
  • Designing interactive dashboards and visuals
  • Sharing and publishing reports

Outcome: An interactive Power BI dashboard.

Week 4: Advanced Dashboards with Tableau
1 week u00b7 Live sessions + labs
  • Building calculated fields and advanced chart types
  • Designing dashboards for non-technical stakeholders
  • Best practices for visual storytelling

Outcome: A polished Tableau dashboard for a business use case.

Week 5: Statistics & Business Metrics
1 week u00b7 Live sessions + labs
  • Descriptive statistics and business KPIs
  • Identifying trends, outliers, and correlations
  • Translating numbers into business recommendations

Outcome: A metrics-driven analysis report.

Week 6: Capstone Analytics Project
1 week u00b7 Live sessions + labs
  • End-to-end analysis of a real dataset
  • Presenting findings to a live panel
  • Portfolio-ready case study writeup

Outcome: A complete analytics case study for your portfolio.

Skills you'll gain

ExcelSQLPower BITableauData CleaningData VisualizationStatistical AnalysisBusiness ReportingDashboard DesignData Storytelling

Who this is for

This course is for you if

  • Beginners with no prior data experience who want a practical, job-ready skillset
  • Career switchers looking to break into data or analytics roles
  • Anyone comfortable with basic computer use and willing to learn analytical tools

Prerequisites

  • No prior coding or analytics experience required
  • Basic familiarity using a computer and the internet
  • A laptop and stable internet for Zoom/Google Meet
  • Willingness to practice with real datasets between sessions
Certificate of Completion

Every graduate who completes the required projects receives a Leverify Quest Data Analytics certificate, shareable directly to LinkedIn.

How this course is delivered

Data Analytics is a live, cohort-based program. All sessions are conducted over Zoom and Google Meet, not pre-recorded video. Enrolling reserves your seat in the next live cohort, and our admissions team follows up directly to confirm your schedule.

Data Analytics, Batch 19

  • 6-week live cohort
  • Delivered via Zoom & Google Meet
  • Hands-on projects & mentor feedback
  • Certificate of completion
  • Lifetime alumni network access
Registration closed

Free for All · live sessions only, no self-paced

Success stories from our alumni

Hear from 2,500+ alumni who transformed their careers with Leverify Quest.

★★★★★
Rizwan Ahmed
Lahore University of Management Sciences (LUMS)

I'd heard about VA work but never knew where to actually start. The training covered everything from client communication to using the right tools, and the instructors were always available to answer questions. I'd recommend this program to anyone serious…

★★★★★
Adeela Qazi
COMSATS University, Islamabad

I'd been trying to break into data analytics for over a year before joining. Working on actual case studies instead of just slides made the biggest difference for me. Couldn't be happier with how far I've come since finishing.

★★★★★
Nomeer Sheikh
Quaid-i-Azam University

I came into this program with almost no analytics background. The curriculum walked us through real tools and real datasets, which made the learning stick. Couldn't be happier with how far I've come since finishing.

★★★★★
Muneeba Shahzadi
Quaid-i-Azam University

As someone switching careers, I needed something practical, not just theory. Working on actual case studies instead of just slides made the biggest difference for me. This program built the foundation my entire career is now standing on.

★★★★★
Hafiz Muhammad Anas Gull
National University of Sciences & Technology (NUST)

Coming from a non-technical background, I wasn't sure this field was for me. What stood out was how practical the sessions were — we worked on real scenarios, not just theory. This is the program that finally got me paying…

★★★★★
Saima Mansha
COMSATS University, Islamabad

I came into this program with almost no analytics background. Instructors broke down complex concepts in a way that was easy to follow, even for beginners. Couldn't be happier with how far I've come since finishing.

Questions

Frequently asked

Is this course self-paced or live?

It's entirely live and cohort-based. All sessions run on Zoom and Google Meet at scheduled times; there's no self-paced video library.

Do I need any prior experience?

No. This course is designed for complete beginners -- no coding or analytics background is required.

How much time should I budget each week?

Plan for 2 live sessions per week plus 3-5 hours of project work between sessions.

What if I can't attend a live session?

Every session is recorded and added to your dashboard within 24 hours, so you can catch up without losing access to mentor office hours that week.

Is the certificate accredited?

The Leverify Quest certificate confirms successful completion of the Data Analytics curriculum and is shareable directly to LinkedIn. It is not a university-accredited degree.

Will this course run again?

Enrollment for this cohort is currently closed. Reach out via our Contact Us page and we'll notify you when the next cohort opens.

Ready to start your Data Analytics career?

Registration closed

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