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100% Placement TrackIntermediate⏱ 3.5 Months • 130 Hours

Data Science

Extract strategic business insights through advanced statistical analysis, predictive modeling, big data queries, and executive dashboards using Python, SQL, Tableau, and Power BI.

★★★★★
4.8(1,640 ratings)
13,600 Students Enrolled
Updated Jan 2026
Enroll Now — ₹15,999Request Program Syllabus 📄
Data Science
LIVE ONLINE PROGRAM

Data Science

Program Duration3.5 Months • 130 Hours
Placement Track100% Assisted Referral
Session Format1-on-1 Interactive

What you'll learn

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Master exploratory data analysis (EDA) with Python Pandas & Seaborn
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Write complex SQL queries, window functions, and database transformations
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Build predictive machine learning models for classification, regression & clustering
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Design interactive executive dashboards with Tableau and Microsoft Power BI
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Apply hypothesis testing, A/B testing methodologies, and probability distributions
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Perform automated web scraping and ETL data pipeline processing
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Process large-scale data with PySpark and BigQuery data warehouses
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Present data-driven insights to executive stakeholders with business acumen
YOUR INSTRUCTOR
DRV

Dr. Rajesh Verma

Data Analytics Director & Healthcare Analytics Expert

Experienced industry practitioner dedicated to mentorship, enterprise architecture, and student placement success.

Have Questions?

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PROGRAM SYLLABUS OVERVIEW

Course Content & Syllabus

Structured step-by-step curriculum & core learning topics taught by industry architects.

1

Module 1: Advanced SQL for Analytics & Data Wrangling

KEY CONCEPTS & SYLLABUS TOPICS COVERED:

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Complex SQL Aggregations, Window Functions & CTEs
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Data Cleaning, Transformation & Quality Checks
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Python Pandas DataFrames & NumPy Array Operations
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ETL Data Pipeline Processing & Automation
2

Module 2: Python Data Science Ecosystem & Statistics

3

Module 3: Applied Predictive ML & Time-Series Forecasting

4

Module 4: Business Intelligence Dashboards (Tableau & Power BI)