Data Analyst Learning Plan in 2025

|-- Week 1: Introduction to Data Analytics
| |-- What is Data Analytics?
| |-- Roles & Responsibilities of a Data Analyst
| |-- Data Analytics Workflow
| |-- Types of Data (Structured, Unstructured, Semi-structured)
|
|-- Week 2: Excel for Data Analysis
| |-- Excel Basics & Interface
| |-- Data Cleaning & Preparation
| |-- Formulas, Functions, Pivot Tables
| |-- Dashboards & Reporting in Excel
|
|-- Week 3: SQL for Data Analysts
| |-- SQL Basics: SELECT, WHERE, ORDER BY
| |-- Aggregations & GROUP BY
| |-- Joins: INNER, LEFT, RIGHT, FULL
| |-- CTEs, Subqueries & Window Functions
|
|-- Week 4: Python for Data Analysis
| |-- Python Basics (Variables, Data Types, Loops)
| |-- Data Analysis with Pandas
| |-- Data Visualization with Matplotlib & Seaborn
| |-- Exploratory Data Analysis (EDA)
|
|-- Week 5: Statistics & Probability
| |-- Descriptive Statistics
| |-- Probability Theory Basics
| |-- Distributions (Normal, Binomial, Poisson)
| |-- Hypothesis Testing & A/B Testing
|
|-- Week 6: Data Cleaning & Transformation
| |-- Handling Missing Values
| |-- Duplicates, Outliers, and Data Formatting
| |-- Data Parsing & Regex
| |-- Data Normalization
|
|-- Week 7: Data Visualization Tools
| |-- Power BI Basics
| |-- Creating Reports and Dashboards
| |-- Data Modeling in Power BI
| |-- Filters, Slicers, DAX Basics
|
|-- Week 8: Advanced Excel & Power BI
| |-- Advanced Charts & Dashboards
| |-- Time Intelligence in Power BI
| |-- Calculated Columns & Measures (DAX)
| |-- Performance Optimization Tips
|
|-- Week 9: Business Acumen & Domain Knowledge
| |-- KPIs & Business Metrics
| |-- Understanding Financial, Marketing, Sales Data
| |-- Creating Insightful Reports
| |-- Storytelling with Data
|
|-- Week 10: Real-World Projects & Portfolio
| |-- End-to-End Project on E-commerce/Sales
| |-- Collecting & Cleaning Data
| |-- Analyzing Trends & Presenting Insights
| |-- Uploading Projects on GitHub
|
|-- Week 11: Tools for Data Analysts
| |-- Jupyter Notebooks
| |-- Google Sheets & Google Data Studio
| |-- Tableau Overview
| |-- APIs & Web Scraping (Intro only)
|
|-- Week 12: Career Preparation
| |-- Resume & LinkedIn for Data Analysts
| |-- Common Interview Questions (SQL, Python, Case Studies)
| |-- Mock Interviews & Peer Reviews

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