Become aData Analyst
Learn to ask sharper questions, build clearer reporting, and present insight that leaders trust.
6
Months
Part-time
30+
Projects
Portfolio
25+
Tools
Industry-std
1:1
Mentorship
Personal
What is Data Analytics?
Data Analytics is the practice of turning raw business data into clear, actionable answers. Every company from Flipkart to Deloitte needs analysts who can query databases, build dashboards, and tell a story with numbers. In 6 months you will learn SQL, spreadsheets, BI tools like Tableau and Power BI, and the narrative skills that make leaders trust your work.
Where can your Data Analytics Mastery training take you?
Data Analyst
Translate business questions into clean analysis, dashboards, and actionable recommendations across teams.
$65,000
starting pay for
Data Analysts
BI Analyst
Design KPI frameworks, build executive dashboards, and be the bridge between data and decisions.
$75,000
starting pay for
BI Analysts
Product Analyst
Decode user behaviour, run A/B experiments, and deliver insights product teams cannot ship without.
$85,000
starting pay for
Product Analysts
Operations Analyst
Use data to improve workflows, performance, and reporting quality across functions.
$68,000
starting pay for
Operations Analysts
Sources: Glassdoor.in
and LinkedIn Salary Insights
Data Analytics is a high-income career track with strong upward mobility
Source: Glassdoor.com and LinkedIn Salary Insights
You after Wills Education
A clear picture of the professional profile you will build over the program.
Data Analyst
$70,000
Expected salary
Hard Skills
Soft Skills
Education
Projects
E-commerce Analytics Dashboard
Built a revenue, retention, and funnel dashboard using SQL, Python, and Tableau for a D2C business case.
The learning path is paced like a product roadmap, not a random chapter list.
Each phase moves from competence building into portfolio-visible output.
Timeline
Weeks 1-5
Analytics Foundations
Learn data basics, spreadsheet thinking, and business metric framing.
Timeline
Weeks 6-12
SQL and Structured Analysis
Query data confidently and translate raw tables into usable answers.
Timeline
Weeks 13-20
Dashboards and Storytelling
Build dashboards that are readable, useful, and persuasive.
Timeline
Weeks 21-24
Career Packaging
Turn projects into evidence for analyst hiring conversations.
The stack is organized around capability, not feature-name overload.
Grouping tools by what they enable keeps the learning story cleaner and more persuasive.
Core
Dashboards
Workflow
A role-aware structure for learners with different starting points.
A practical analytics track for beginners and early-career professionals who want practical SQL, dashboards, business thinking, and a clean route into analyst roles.
Career switchers
Enter analytics with a practical, employer-readable portfolio rather than a vague certificate.
Ops and business professionals
Upgrade reporting skills into analysis that drives decisions, not just exports.
Fresh graduates
Build a cleaner first role profile with SQL, dashboards, and storytelling.
Career support is presented as a structured process, not a vague promise.
The same trust-first system used on the homepage carries through to each program detail page.
01
Position
Refine the story you tell about your background, projects, and direction.
02
Package
Turn assignments into portfolio assets, case studies, and stronger proof.
03
Pursue
Move into applications and interviews with clearer materials and tighter narratives.
Questions learners ask before choosing Data Analytics.
Apply
Move from interest to admissions with a clearer signal.
Data Analytics is designed to feel deliberate from first impression to final CTA. The application flow keeps that same tone.