Data analyst Notes PDF

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Data Analyst Master Notes – Complete Learning & Career Guide Learn Data Analytics Step by Step with 100 Handwritten-Style Study Notes! Want to learn Data Analytics and prepare for a Data Analyst job? This complete study-notes collection is designed to help students, beginners, and aspiring data analysts understand important concepts in a simple, organized, and visual format. These notes feature clear explanations, colorful headings, formulas, tables, diagrams, charts, practical examples, and project guidance to make learning easier. 📚 What’s Included? Module 1: Data Analytics Fundamentals - Introduction to Data Analytics - Data Analyst Roles and Responsibilities - Data Types, KPIs, Data Sources, and Analytics Lifecycle Module 2: Microsoft Excel for Data Analysis - Essential Excel Functions and Formulas - Lookup Functions, Conditional Formatting, and Data Validation - PivotTables, PivotCharts, and Dashboards Module 3: SQL for Data Analysts - SELECT, WHERE, GROUP BY, HAVING, and JOINs - Subqueries, CTEs, and Window Functions - SQL Query Practice and Interview Preparation Module 4: Data Cleaning & Preparation - Missing Values and Duplicate Records - Data Standardization and Type Conversion - Outlier Detection and Data Validation Module 5: Statistics for Data Analysis - Mean, Median, Mode, Variance, and Standard Deviation - Probability, Distributions, and Hypothesis Testing - Correlation, Confidence Intervals, and A/B Testing Module 6: Python for Data Analysis - Python Fundamentals and Data Structures - NumPy Arrays and Pandas DataFrames - Data Filtering, Cleaning, Grouping, and Merging Module 7: Data Visualization & Power BI - Effective Charts and Data Visualization - Power Query, Data Modeling, and Relationships - DAX Functions and Interactive Dashboards Module 8: Business Intelligence & Reporting - Sales, Revenue, Profitability, and Customer Analysis - Marketing Campaign an