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Master Program in Advanced Data Analytics

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Become a job-ready Data Analyst with Excel-to-ETL, SQL, Python (Pandas/NumPy), Statistics, Power BI / Tableau, A/B testing and storytelling dashboards. Ship portfolio projects and earn a QR-verified certificate.

Curriculum includes data modeling, DAX, joins/window functions, EDA, feature prep, automation, and lightweight ML for forecasting & classification.

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80% hands-on labs with mentor feedback
BI dashboards (Power BI / Tableau) & storytelling
SQL mastery: joins, CTEs, window functions
Statistics, experimentation & insights for business

★★★★★#1 Mumbai’s Premium Training Institute

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Want to know exactly how much it costs & when the next batch starts? Tell us where to call you!

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Why Advanced Data Analytics?

Data analytics drives profitability, forecasting, and decisions in 2025. Join our mentor-led Advanced Data Analytics program to build Python, SQL, BI, and ML skills with real projects and placement support.

110 Hours

Comprehensive Training

Python • SQL • BI • ML

80 : 20

Practical : Theory

Projects • Labs • Code Reviews

14+

Years Expertise

Mentor-led • Industry-Aligned

100%

Job Assistance

Resume • Mock Interviews • Referrals

1 : 1

Doubt Solving

Live Support • Code Walkthroughs

AAA

Global Certification

Verifiable • Resume-Ready

Master dashboards & reporting (Power BI/Tableau), SQL for analytics, feature engineering, and ML for business with career support.

*Outcomes vary by prior experience, pace, and project depth.

Advanced Data Analytics - A Complete Overview

Learn to analyze complex datasets, build insightful dashboards, apply statistics and predictive modeling, and turn data into business decisions using Power BI, Tableau, SQL, and Python.

110 Hours

Hands-On Projects

Expert Faculty

Beginner Friendly

100% Job-Ready

BI Dashboards that Drive Action

Design KPI-focused dashboards in Power BI and Tableau using best-practice layouts, DAX/LOD, and drill-through analytics.

SQL & Data Modeling

Write production-grade SQL, build star/snowflake schemas, and optimize queries with indexing, CTEs, and window functions.

Predictive Analytics

Use Python (pandas, scikit-learn) for regression, classification, feature engineering, and model evaluation with real datasets.

Analytics Storytelling

Turn insights into narratives with benchmarks, comparisons, and context that help stakeholders make decisions fast.

ETL & Data Prep

Cleanse, transform, and join data reliably. Automate refreshes and publish governed datasets for teams.

Governance & QA

Validate metrics, manage access, and add documentation so analytics are trusted across the business.

What you’ll learn (and build)

From data cleaning and SQL modeling to visual analytics and machine learning, this program ensures you can ship real analytics. You’ll create KPI suites, cohort/retention views, forecasting models, and stakeholder-ready dashboards with clear documentation and measurable outcomes.

Portfolio-first approach: publish dashboards and notebooks recruiters can review.
End-to-end pipeline: from raw data → modeling → visualization → business impact.
Interview-ready: metrics, case studies, and SQL challenges with solutions.
Tooling: Power BI, Tableau, SQL, Python, and Excel for production reporting.

Keywords: data analytics course, business intelligence training, Power BI dashboards, Tableau visualizations, SQL queries, Python analytics, predictive modeling, KPI reporting, ETL, data storytelling.

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5-Core Curriculum Modules

An industry-aligned data analytics pathway from clean data and statistics to dashboards, predictive modeling, and BI decisioning.

01
Data Preparation & Cleaning
- Master data wrangling, profiling, missing-value strategy, outlier treatment, text/date handling, and reproducible ETL.
Outcomes: hands-on labs, assessment checklists, and take-home exercises for mastery.
02
Statistical Analysis & Modeling
- Apply descriptive & inferential statistics, hypothesis testing, confidence intervals, and regression for trustworthy insights.
Outcomes: hands-on labs, assessment checklists, and take-home exercises for mastery.
03
Data Visualization & Storytelling
- Design compelling dashboards (Power BI / Tableau), choose the right chart, add interaction, and craft business narratives.
Outcomes: hands-on labs, assessment checklists, and take-home exercises for mastery.
04
Predictive Analytics & Forecasting
- Build & validate predictive models (classification, regression, time series), evaluate with the right metrics and guard against leakage.
Outcomes: hands-on labs, assessment checklists, and take-home exercises for mastery.
05
Business Intelligence & Decision Making
- Translate insights into action: KPIs, experiment design, executive-ready decks, and data products that drive decisions.
Outcomes: hands-on labs, assessment checklists, and take-home exercises for mastery.

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Tools & Technologies You’ll Master

Build real, job-ready skills across data wrangling, SQL modeling, dashboard design, and predictive analytics. Curated stack recruiters recognize and teams rely on.

Hands-On Stack

8+ Core Tools

From raw data → insights

Portfolio Output

Dashboards & Notebooks

Power BI • Tableau • Python

Hiring Fit

Analyst • BI • DS

Skills mapped to roles

PythonScripting
Master Python to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
SQLQueries
Master SQL to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
Power BIDashboards
Master Power BI to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
TableauVisual Analytics
Master Tableau to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
Excel (Advanced)Analysis
Master Excel (Advanced) to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
pandasDataFrames
Master pandas to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
NumPyNumerics
Master NumPy to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
RStats
Master R to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.

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Your Analytics Career Roadmap

Follow these 4 proven steps to move from learner to job-ready Analytics professional with a portfolio recruiters trust.

Program Duration

~ 12–14 Weeks

110 hours guided learning

Portfolio Projects

Deployed & documented

Target CTC

₹7–14 LPA

Role & location vary

Job-Ready Foundations

Complete the 110-Hour Analytics Hero Program

Excel-to-ETL, SQL, Python (Pandas/NumPy), Statistics, BI dashboards (Power BI / Tableau), and ML-lite for forecasting & classification.

Portfolio & GitHub

Build 3 Portfolio Projects

Ship a KPI dashboard, an A/B testing analysis, and a predictive model. Host on GitHub & share interactive links.

Interview Readiness

Career Prep & Mock Interviews

Resume/LinkedIn revamp, SQL & case-study drills, analytics storytelling, and BI scenario interviews with feedback.

Offer & Onboarding

Apply & Land an Analytics Role

Target roles: Data Analyst, BI Developer, Analytics Engineer, Product Analyst (₹7–14 LPA depending on location & skills).

Learn from anywhere. Your journey to an Analytics career starts here.

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Real-World Projects You’ll Build

Apply Advanced Analytics to real business challenges. Build a job-ready portfolio with clean code, clear storytelling, and measurable impact.

# Sales Forecasting Dashboard

Predict weekly/monthly sales and visualize KPIs for regions, categories, and channels.

ARIMA/Prophet vs. ML regressors
Backtesting & seasonality analysis
Executive-ready KPI views

PythonPandasProphetPlotly

# Customer Segmentation Model

Create actionable cohorts to improve targeting, retention, and LTV.

RFM scoring
K-Means/DBSCAN + validation
Cohort playbooks

scikit-learnNumPySeaborn

# BI Reporting System

Build an interactive BI layer with drill-downs, filters, and scheduled refresh.

Star/Snowflake modeling
Row-level security
Automated refresh jobs

Power BIDAXGatewaySQL

# Churn Prediction Pipeline

Predict and explain churn risk with interpretable ML and business levers.

Imbalance handling (SMOTE/weights)
ROC/PR & calibration
SHAP insights

scikit-learnXGBoostSHAP

# SQL Data Warehouse & ETL

Ingest, clean, and model raw data into analytics-ready marts.

Incremental loads
SCD handling
Quality checks & lineage

SQLdbtAirflowS3/BigQuery

# A/B Testing & Uplift Analysis

Design experiments, estimate uplift, and recommend rollouts.

Power & sample sizing
Bayesian/Classic inference
Uplift modeling

PythonSciPyMatplotlib

These industry-aligned projects showcase real metrics, clean engineering, and clear communication—exactly what hiring managers expect for Data Analyst, Analytics Engineer, and BI Developer roles.

*Scope may vary by dataset, domain, and pace.

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What Our Students Say

Real feedback from graduates of our Advanced Data Analytics program—covering Power BI, Tableau, SQL, Python, and predictive modeling. Built for job-ready outcomes and recruiter-friendly portfolios.

4.9/5 Average RatingVerified AlumniIndustry-Relevant Projects

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Top Companies Hiring Data Analytics Professionals

•101,000+ Job Vacancies in India•Pan-India • Product & Services • Startup & Enterprise

Careers across data analytics, business intelligence, data engineering lite, and strategic decision-making.

Data AnalystBI AnalystAnalytics EngineerProduct AnalystBusiness Analyst

*Logos are for illustration of hiring potential. Openings vary by location, skills, and experience.

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Who Is This Course For

Whether you’re starting out or leveling up, this Advanced Data Analytics program turns Python, SQL, BI, and ML fundamentals into measurable career outcomes-portfolio projects, practical tooling, and interview-ready confidence.

# Students & Fresh Graduates

Start your analytics journey from zero—learn Python/SQL, BI dashboards, and decision-making with real datasets.

No prior experience required
Guided projects + mentor feedback

# Working Professionals

Upskill to data-driven roles in product, finance, marketing, or operations using BI, analytics, and automation.

Industry case studies
Pandas • Power BI • SQL

# Business Analysts

Level up from reports to insights—model KPIs, build interactive dashboards, and run experiments that move metrics.

Storytelling with data
A/B testing & forecasting basics

# Career Switchers

Transition into high-demand analytics roles with a portfolio that proves hands-on skills and business impact.

Interview prep + ATS resume
Placement assistance

Ideal for students, working professionals, business analysts, and career switchers targeting Data Analyst, Analytics Engineer, and BI Developer roles.

*Learning paths adapt by background and pace.

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Frequently Asked Questions

Everything you need to know about our Advanced Data Analytics program—curriculum, tools, projects, and career support.

Q. Is prior data or coding experience required?

No. We start from fundamentals and move to advanced analytics. You’ll learn Python, SQL, BI dashboards, and ML step by step with mentor support.

Q. What is the duration and learning format?

About 110 hours of guided learning over 10–14 weeks. Expect 80% practical labs, code reviews, and portfolio-grade projects.

Q. Do you provide job assistance?

Yes—100% job assistance with resume revamp, ATS keywords, mock interviews, and referrals. We also help you showcase projects on GitHub/LinkedIn.

Q. Which tools and projects are included?

Python, Pandas, SQL, Power BI/Tableau, and ML basics. Projects include forecasting, segmentation, churn prediction, and KPI dashboards.

Q. Is this suitable for career switchers and students?

Absolutely. The curriculum is beginner-friendly but industry-aligned. You’ll build a recruiter-ready portfolio and get interview prep.

Still have questions? for a personalized walkthrough of the curriculum and outcomes.

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Ready to Master Advanced Data Analytics?

Enroll now for a project-first program with global certification, 110+ guided hours, and 100% job assistance-covering Power BI, Tableau, SQL, and Python.

Certification

International

QR-verifiable

Placement Support

End-to-End

Resume • Mock Interviews

Outcome

Job-Ready Portfolio

Dashboards & Notebooks

Call: +91 788-83-83-788 Email Us

No prerequisites required. Flexible batches. Seats fill fast-secure yours today.

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Master Program in Advanced Data Analytics

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