The Job Ladder

If I were to start my Data Analyst career from scratch, here’s the 6-step roadmap I’d follow:


𝗦𝘁𝗲𝗽 𝟭 - 𝗘𝘅𝗰𝗲𝗹 & 𝗦𝗽𝗿𝗲𝗮𝗱𝘀𝗵𝗲𝗲𝘁𝘀
• Free: Excel Skills for Business (Coursera) – lnkd.in/e5tCSGyw
• Paid: Data Analysis in Excel – lnkd.in/eRKBUWKA
• Tools: Excel, Google Sheets

𝗦𝘁𝗲𝗽 𝟮 - 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗤𝘂𝗲𝗿𝘆𝗶𝗻𝗴
• Free: Intro to SQL (Khan Academy) – lnkd.in/erHcstcU
• Paid Cert: SQL (Datacamp) – lnkd.in/dMU2SUbm
• Tools: MySQL, PostgreSQL, BigQuery

𝗦𝘁𝗲𝗽 𝟯 - 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻
• Free: Power BI Learn (Microsoft) – lnkd.in/ea_EvTh9
• Paid Cert: Data Visualization in PowerBI - lnkd.in/eKPUw-xW
• Tableau Desktop Specialist – lnkd.in/eJ4FrcpM
• Tools: Power BI, Tableau, Looker

𝗦𝘁𝗲𝗽 𝟰 - 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀
• Free: Python for Everybody (Coursera) – lnkd.in/efB4wiUK
• Paid Cert: EDA in Python: lnkd.in/egR7_Pzc
• IBM Python for Data Science – lnkd.in/ed-JHTbF
• Tools: pandas, NumPy, Jupyter Notebook

𝗦𝘁𝗲𝗽 𝟱 - 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗦𝗲𝗻𝘀𝗲
• Free: Statistics & Probability (Khan Academy) – lnkd.in/ex9wA7TN
• Paid Cert: HarvardX Data Science: Probability – lnkd.in/eWj_tswb
• Tools: A/B Testing, Hypothesis Testing, Business Metrics

𝗦𝘁𝗲𝗽 𝟲 - 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 & 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼
• Data Analyst/Scientist Portfolio Ideas – lnkd.in/eKtaYMjr
• Analysing customer Churn: lnkd.in/eYUth5XB
• Tools: GitHub, Notion, Streamlit

Steps 1–5 give you skills.

But Step 6 builds proof.

Don’t just learn, showcase what you know. That’s how you land your first data job.

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