Roadmap to becoming a 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 for 𝗙𝗥𝗘𝗘

𝟭 — 𝗘𝘅𝗰𝗲𝗹: Start with Excel, Analyzing Data in Excel empowers you to understand data through detailed visual summaries, trends, and patterns.

- 𝗘𝘅𝗰𝗲𝗹 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: https://bit.ly/3BOIiZ5

𝟮 — (𝗶) 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲: Choose ‘Python’ or ‘ R ‘, any one language for your journey, Python may be the ideal choice if you want to transition to machine learning.

- 𝗣𝘆𝘁𝗵𝗼𝗻 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: Python Full Course — In 3 Hours | Beginner Level | Python for Data Science

(𝗶𝗶) 𝗥 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: If you’re passionate about the statistical computation and data visualization aspects of data analysis, R could be a good fit for you.

- ‘𝗥’ 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: R Programming Fundamentals

𝟯 — 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: Learn both SQL & No SQL databases

- MySQL Resources: MySQL Tutorial for Beginners [Full Course]

- Mongo DB: MongoDB with Python Crash Course — Tutorial for Beginners

𝟰- 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 & 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Master the concepts of Descriptive Statistics and Inferential Statistics

- 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: Statistics and Probability | Khan Academy

𝟱 — 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘀𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀: Learn Tableau or Power BI

- [Power BI] Resource: Power BI Tutorial From Beginner to Pro ⚡ Desktop to Dashboard in 60 Minutes ⏰

- [Tableau] Resource: Tableau Full Course — in 3 Hours | Become a Data Visualization Rockstar | Beginner Level

Moreover, here is the quarter-wise roadmap to becoming a Data Scientist in 2023: Become a Data Scientist in 2023 | Step-by-Step Roadmap to Master Data Science #DataScience

That’s a wrap!