Data Analyst
Make businesses smarter with data. In this hands-on, project-first course, you'll learn to wrangle messy datasets, build dashboards people actually use, and present insights that drive action. No fluff—just the skills hiring managers ask for.
Overview
Curriculum
Comprehensive learning path designed by industry experts
Career Outcomes
- Data Analyst
- Business Analyst
- Reporting Analyst
- BI Developer
Prerequisites
- Basic mathematics
- Computer literacy
- No prior coding experience required
Real-world capstone projects
Apply your skills to real-world challenges through industry-aligned capstone projects.
RFM Analysis
RFM analysis is a data-driven marketing technique used to quantitatively evaluate and segment a company's customer base based on their purchasing behavior. It leverages three key metrics to identify a business's most valuable customers and tailor marketing strategies accordingly.
Market Basket Analysis
Market Basket Analysis (MBA) is a data mining technique used to discover patterns of items that customers frequently purchase together. It identifies associations, co-occurring items, and hidden relationships within transaction data. MBA is widely used in retail, e-commerce, and marketing to understand customer buying behavior.
Customer Lifetime Value
Develop an AI-driven chatbot to enhance the EdTech learning experience by assisting students and instructors with academic and administrative tasks.
Gender Guesser
Using Simple Naive Bayes Algorithm predict the gender of a person
Titanic Survival Predicitions
Develop a system focusing on predicting the Remaining Useful Life (RUL) of NASA turbofan engines and detecting performance anomalies using machine learning.
Ecommerce Dashboard
Comprehensive ecommerce analytics dashboard built with Power BI to visualize sales performance, customer behavior, product trends, and revenue metrics. This interactive dashboard enables data-driven decision-making by providing real-time insights into key business KPIs including sales by region, top-performing products, customer segmentation, and revenue forecasting.
Whatsapp Chat Analyzer
Advanced WhatsApp chat analysis tool built with Python to extract, process, and visualize messaging patterns from exported chat data. This project demonstrates expertise in data extraction, text processing, and exploratory data analysis by analyzing message frequency, active hours, most active participants, word clouds, emoji usage, and conversation sentiment. The analyzer provides comprehensive insights into communication patterns, helping understand group dynamics and messaging behaviors.
Exploratory Data Analysis
Comprehensive exploratory data analysis project using Python to uncover patterns, relationships, and insights from complex datasets. This project demonstrates proficiency in data cleaning, statistical analysis, and visualization techniques using libraries like Pandas, NumPy, Matplotlib, and Seaborn. The analysis includes handling missing values, detecting outliers, performing univariate and bivariate analysis, correlation analysis, and creating insightful visualizations to understand data distributions, trends, and relationships that drive informed business decisions.
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Frequently Asked Questions
Everything you need to know about the course