110 Hours
Comprehensive Training
Python • SQL • BI • ML
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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.
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.
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Comprehensive Training
Practical : Theory
Years Expertise
Job Assistance
Doubt Solving
Global Certification
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.
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.
Design KPI-focused dashboards in Power BI and Tableau using best-practice layouts, DAX/LOD, and drill-through analytics.
Write production-grade SQL, build star/snowflake schemas, and optimize queries with indexing, CTEs, and window functions.
Use Python (pandas, scikit-learn) for regression, classification, feature engineering, and model evaluation with real datasets.
Turn insights into narratives with benchmarks, comparisons, and context that help stakeholders make decisions fast.
Cleanse, transform, and join data reliably. Automate refreshes and publish governed datasets for teams.
Validate metrics, manage access, and add documentation so analytics are trusted across the business.
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.
Keywords: data analytics course, business intelligence training, Power BI dashboards, Tableau visualizations, SQL queries, Python analytics, predictive modeling, KPI reporting, ETL, data storytelling.
An industry-aligned data analytics pathway from clean data and statistics to dashboards, predictive modeling, and BI decisioning.
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Master data wrangling, profiling, missing-value strategy, outlier treatment, text/date handling, and reproducible ETL.
Apply descriptive & inferential statistics, hypothesis testing, confidence intervals, and regression for trustworthy insights.
Design compelling dashboards (Power BI / Tableau), choose the right chart, add interaction, and craft business narratives.
Build & validate predictive models (classification, regression, time series), evaluate with the right metrics and guard against leakage.
Translate insights into action: KPIs, experiment design, executive-ready decks, and data products that drive decisions.
*Module order may vary slightly based on cohort needs and instructor discretion.
Apply Advanced Analytics to real business challenges. Build a job-ready portfolio with clean code, clear storytelling, and measurable impact.
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Predict weekly/monthly sales and visualize KPIs for regions, categories, and channels.
Create actionable cohorts to improve targeting, retention, and LTV.
Build an interactive BI layer with drill-downs, filters, and scheduled refresh.
Predict and explain churn risk with interpretable ML and business levers.
Ingest, clean, and model raw data into analytics-ready marts.
Design experiments, estimate uplift, and recommend rollouts.
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.
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.
“Transformed my analytics skills. Built KPI dashboards and cracked a BI interview in two weeks.”
“Real-world projects with SQL, Python, and Power BI. My portfolio became the highlight of every interview.”
“From fresher to analytics professional in 110 hours. Clear rubrics, feedback, and measurable outcomes.”
“Great balance of statistics, data modeling, and dashboard storytelling. Stakeholders loved the clarity.”
“ETL best practices plus governance and QA. I now publish reliable datasets the whole team uses.”
“Interview prep and SQL challenges mirrored real questions. Immediate confidence boost.”
“Transformed my analytics skills. Built KPI dashboards and cracked a BI interview in two weeks.”
“Real-world projects with SQL, Python, and Power BI. My portfolio became the highlight of every interview.”
“From fresher to analytics professional in 110 hours. Clear rubrics, feedback, and measurable outcomes.”
“Great balance of statistics, data modeling, and dashboard storytelling. Stakeholders loved the clarity.”
“ETL best practices plus governance and QA. I now publish reliable datasets the whole team uses.”
“Interview prep and SQL challenges mirrored real questions. Immediate confidence boost.”
Read independent reviews of our Data Analytics course. Alumni highlight BI dashboards, SQL and Python projects, interview preparation, and job placements.
Careers across data analytics, business intelligence, data engineering lite, and strategic decision-making.
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*Logos are for illustration of hiring potential. Openings vary by location, skills, and experience.
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.
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Start your analytics journey from zero—learn Python/SQL, BI dashboards, and decision-making with real datasets.
Upskill to data-driven roles in product, finance, marketing, or operations using BI, analytics, and automation.
Level up from reports to insights—model KPIs, build interactive dashboards, and run experiments that move metrics.
Transition into high-demand analytics roles with a portfolio that proves hands-on skills and business impact.
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.
Build real, job-ready skills across data wrangling, SQL modeling, dashboard design, and predictive analytics. Curated stack recruiters recognize and teams rely on.
Master Python to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
Master SQL to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
Master Power BI to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
Master Tableau to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
Master Excel (Advanced) to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
Master pandas to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
Master NumPy to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
Master R to build production-grade analytics: clean data, model KPIs, visualize trends, and present insights stakeholders can act on.
Learn data analytics with Python, SQL, Power BI, Tableau, Excel, pandas, NumPy, and R to create dashboards, reports, and predictive models for business intelligence.
Follow these 4 proven steps to move from learner to job-ready Analytics professional with a portfolio recruiters trust.
Excel-to-ETL, SQL, Python (Pandas/NumPy), Statistics, BI dashboards (Power BI / Tableau), and ML-lite for forecasting & classification.
Ship a KPI dashboard, an A/B testing analysis, and a predictive model. Host on GitHub & share interactive links.
Resume/LinkedIn revamp, SQL & case-study drills, analytics storytelling, and BI scenario interviews with feedback.
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.
Everything you need to know about our Advanced Data Analytics program—curriculum, tools, projects, and career support.
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Still have questions? Talk to an advisor for a personalized walkthrough of the curriculum and outcomes.
Enroll now for a project-first program with global certification, 110+ guided hours, and 100% job assistance—covering Power BI, Tableau, SQL, and Python.
No prerequisites required. Flexible batches. Seats fill fast—secure yours today.
