Data Analyst Road Map

Let’s delve deeper into each Python topic with explanations and examples: Python Topics: An In-Depth Explanation with Examples Variables and Data Types Variables are containers for storing data values. Python supports several data types: Lists Lists are ordered and mutable collections of items: Tuples Tuples are ordered and immutable collections: Dictionaries Dictionaries store key-value pairs:

SQL Elaboration on the mentioned SQL concepts with examples and emojis to make them more engaging: Basic Queries SELECT The SELECT statement is used to fetch data from a database. 🗂️ Fetches the name and age of all users. WHERE The WHERE clause is used to filter records that meet certain criteria. 🔍 Selects all users older than 25. DISTINCT The DISTINCT keyword

Statistics Elaboration on each of the mentioned statistical topics with examples: Basic Math Arithmetic Arithmetic involves basic mathematical operations such as addition, subtraction, multiplication, and division. Example: Calculate the total sales for the week. If Sales_Monday = 100, Sales_Tuesday = 200, Sales_Wednesday = 150, Sales_Thursday = 250, Sales_Friday = 300: Weighted Average Weighted average takes into

Excel Sure! Here’s a more detailed elaboration of each Excel function and feature with examples: Formulas and Functions IFNA is used to catch #N/A errors in a formula and return a specified value instead. This is particularly useful when using functions like VLOOKUP or MATCH, which might return #N/A if they can’t find the value you’re looking for. Example: Scenario: You have a list

Road Map to Data Analyst 🚀 This roadmap is crafted to guide someone with 3 months to becoming a proficient data analyst 📊✨ 💹 Excel (1 & 2 Week) Excel is fundamental to begin with, requiring at least a week to become familiar with its interface and shortcuts. Additionally, I’m attaching a useful project that covers