Education is the key to unlocking the golden door of freedom.” – George Washington Carver
๐ญ – ๐๐ ๐ฐ๐ฒ๐น: Start with Excel, Analyzing Data in Excel empowers you to understand data through detailed visual summaries, trends, and patterns.
– ๐๐ ๐ฐ๐ฒ๐น ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ: https://coursera.org/learn/excel-data-visualizationโฆ
๐ฎ – (๐ถ) ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ: Choose ‘Python’ or ‘ R ‘, any one language for your journey, Python may be the ideal choice if you want to transition to machine learning.
– ๐ฃ๐๐๐ต๐ผ๐ป ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ: https://grow.google/intl/en_in/
(๐ถ๐ถ) ๐ฅ ๐ณ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐: If you’re passionate about the statistical computation and data visualization aspects of data analysis, R could be a good fit for you.
– ‘๐ฅ’ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ: https://coursera.org/projects/performing-confirmatory-data-analysis-in-rโฆ
๐ฏ – ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ๐: Learn both SQL & No SQL databases
– MySQL Resources: https://coursera.org/projects/mysql-information-technologyโฆ
– Mongo DB: https://coursera.org/projects/create-csharp-app-process-mongodb-dataโฆ
๐ฐ- ๐ฆ๐๐ฎ๐๐ถ๐๐๐ถ๐ฐ๐ & ๐ฃ๐ฟ๐ผ๐ฏ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐: Master the concepts of Descriptive Statistics and Inferential Statistics
– ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ: https://coursera.org/learn/statistics-for-data-science-pythonโฆ
๐ฑ – ๐๐ป๐๐ฒ๐ฟ๐ฎ๐ฐ๐๐ถ๐๐ฒ ๐๐ฎ๐๐ฎ ๐ฉ๐ถ๐๐๐ฎ๐น๐ถ๐๐ฎ๐๐ถ๐ผ๐ป ๐ง๐ผ๐ผ๐น๐: Learn Tableau or Power BI
– [Power BI] Resource: https://coursya.com/product/power-bi-for-beginners-preparing-data-for-analysis/โฆ
– [Tableau] Resource: https://coursera.org/specializations/tableau-for-data-science-workflowsโฆ
