𝟭 - 𝗘𝘅𝗰𝗲𝗹:
Start with Excel, Analyzing Data in Excel empowers you to understand data through detailed visual summaries, trends, and patterns.
𝗘𝘅𝗰𝗲𝗹 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: https://lnkd.in/dp4jp-ke
𝟮 - 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: https://lnkd.in/diuCU_4H
- 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: https://lnkd.in/dx6DEk35
𝟯 - 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀:
- Learn both SQL & No SQL databases
- MySQL Resources: https://lnkd.in/dPZuDM57
- Mongo DB: https://lnkd.in/dQ325DHB
𝟰- 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 & 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆:
- Master the concepts of Descriptive Statistics and Inferential Statistics
- 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: https://lnkd.in/dtr7YSzz
𝟱 - 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘀𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀:
- Learn Tableau or Power BI:
- [Power BI] Resource: https://lnkd.in/d2xnsGMr
- [Tableau] Resource: https://lnkd.in/dAds5Jfa
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