Data Analytics
₹120,000
Total Fee₹10,000/month
EMI Starting
Why Choose This Program?
Industry-Aligned Curriculum: Master data cleaning, analysis, dashboards, and business reporting with real datasets.
Tools That Employers Want: Learn Excel, SQL, Python, and Power BI — the top tools in today’s analytics job market.
Live Business Projects: Analyse sales trends, customer behavior, and operational efficiency with guided mentoring.
Placement Support: Resume building, mock interviews, portfolio assistance, and referrals to hiring partners.
💰 Program Fee: ₹120,000 | EMI starts at ₹10,000/month
How This Program Works
1. Real-World Module Development
Perform business analysis using Excel & Power BI
Build SQL queries for data extraction and reports
Automate tasks and visualise data with Python
Apply statistical concepts and KPIs in analysis
2. Projects to Build Your Portfolio
Sales performance dashboard for a retail chain
Customer churn analysis using SQL and Power BI
HR analytics on attrition and hiring metrics
Financial KPIs and trend forecasting reports
3. Continuous Feedback & Improvement
Weekly assignments and project reviews
1-on-1 mentor sessions and query resolution
Live dashboards evaluated by industry experts
Guidance on improving presentation & reporting
4. Placement Preparation
Resume & LinkedIn profile optimisation
Mock interviews and analytics case studies
GitHub portfolio setup for Python scripts
Job referrals and interview coordination
Who Is This Program For?
✅ Graduates & Freshers – Build analytics skills with real tools and projects.
✅ Working Professionals – Upskill for roles in business or data analysis.
✅ Career Switchers – Transition into data without needing a coding-heavy background.
Tools & Technologies You’ll Master
Data Analysis & Visualisation
- Microsoft Excel
- Power BI
- Tableau
Programming & Scripting
- Python
- Pandas
- NumPy
Database & Querying
- MySQL
- PostgreSQL
- Google BigQuery
Business Intelligence
- KPIs
- Dashboards
- Forecasting
Program Timeline
Months 1–2: Excel & Business Fundamentals
Build foundational skills in Excel, formulas, dashboards, and reports for business analysis.
Months 3–4: SQL for Data Extraction
Learn SQL queries, joins, subqueries, and aggregations to pull insights from databases.
Months 5–6: Python for Data Analytics
Use Python, Pandas, and Matplotlib to clean, analyse, and visualise datasets.
Months 7–8: Power BI & Dashboarding
Create interactive dashboards with DAX, Power Query, and real-time reporting features.
Month 9: Capstone Project & Placement Prep
Work on a business case project, refine your profile, and prepare for analytics interviews.
Career Outcomes
Prepare for these in-demand roles:
Data Analyst
Business Analyst
Reporting Analyst
Power BI Developer
💼 Average Salaries: ₹5–7 LPA (entry-level) | ₹10+ LPA (after 2–3 years)
Why Data Analytics?
High Career Demand: From startups to MNCs, analysts are critical to growth.
Versatile Domain: Applicable across marketing, HR, finance, and operations.
Beginner Friendly: No deep coding or math needed to get started.
Frequently Asked Questions (FAQs)
Apply Now
Launch your data career with real-world skills and a job-ready portfolio.
Let’s build your future in Data Analytics.
👉 [Apply Now]
Contact & Pricing
💰 Total Fee: ₹1,20,000
📆 EMI: ₹10,000/month
📞 Call/WhatsApp: +91-8095858589
📧 Email: info@gullyacademy.com