Fast-track your journey into data analytics by gaining proficiency in Excel, SQL, Python, and Power BI with live business datasets and immersive project-based training.
This career-focused program features live projects, capstone deliverables, and a guided internship designed to prepare you for high-demand analyst roles in business and tech.
Who This Program Is Designed For
– Final-year graduates from any discipline exploring data-centric roles
– Aspiring Business and Data Analysts looking to gain technical edge
– Working professionals upgrading their skill sets for data-driven decision-making
– Entry-level learners making a career pivot into analytics and BI
Program Objectives & Measurable Outcomes
– Transform messy data into actionable insights using Excel and Python
– Extract and structure insights through advanced SQL queries and joins
– Create visually engaging dashboards using Power BI and Tableau
– Apply key statistical techniques and data storytelling frameworks
– Conduct thorough Exploratory Data Analysis (EDA) on large datasets
– Build a standout analytics portfolio and sharpen interview readiness
Skillsets You’ll Develop
– Data preprocessing, cleaning, and transformation using Excel and Pandas
– Writing and optimizing SQL queries for real-world database applications
– Python-based analytics using NumPy, Matplotlib, and Pandas libraries
– Dashboard design with Power BI’s DAX and Tableau’s visualization features
– Uncover data-driven narratives by applying EDA strategies that transform raw numbers into compelling visuals using KPIs, interactive charts, and trend analysis
– Business reporting aligned with industry metrics and domain insights
Module Breakdown & Learning Journey
– Foundations of Analytics & BI Ecosystems
– Excel for Data Prep: Pivoting, Filtering & Visualization
– SQL Mastery: Query Design & Relational Data Handling
– Python Fundamentals for Analytical Workflows
– Interactive Dashboards with Power BI (DAX, Drilldowns)
– Tableau for Case-Based Visual Storytelling
– EDA Project with Domain-Specific Datasets (HR, Sales, Finance)
– Final Capstone Project + GitHub Portfolio Curation
Course Duration & Learning Format
– Program Length : 8–10 weeks of structured training
– Delivery Mode : Online via instructor-led sessions and recorded content
– Batch Flexibility : Choose from Weekend or Weekday learning plans
Tools & Platforms You’ll Work With
– Transform raw datasets into actionable insights using Microsoft Excel’s powerful toolkit for data cleaning, visualization, and analytical operations
– SQL Databases: MySQL & PostgreSQL
– Python tools: Jupyter Notebook, VS Code for scripting and data ops
– Visualization: Power BI & Tableau for dynamic dashboards
– Productivity Stack: Google Sheets, GitHub for collaboration & versioning
Internship & Final Project Experience
– 3–4 week internship applying analytics to real business cases across industries
– Build and present capstone projects tailored to HR, sales, or finance use cases
– Receive mentorship, practical feedback, and a polished project portfolio
Certifications You’ll Earn
– Verified Course Completion Certificate recognized by industry experts
– Internship Certificate showcasing your applied analytical experience
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