Data Analyst

Master analytics fundamentals, leverage AI tools to accelerate your transition

01Prerequisites

Advanced Excel

Pivot tables, formulas, data validation techniques.

SQL Basics

SELECT, WHERE, JOIN, aggregation queries.

Statistics Fundamentals

Descriptive stats, distributions, hypothesis testing.

02Core Concepts

Data Cleaning

Handle missing values, duplicates, standardization.

Exploratory Data Analysis

Summarize patterns, distributions, relationships.

Data Visualization

Charts, dashboards, storytelling with data.

Business Metrics

KPIs, conversion funnels, retention analysis.

$5one-time

No subscription. No account required. Instant access.

locked

across 4 sections

02 Core Concepts03 Tools and Frameworks04 Specialization05 AI Integration

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