If I were to start Data Science in 2023,
- Harvard
- Stanford
- MIT
- Microsoft
- Google
- IBM
❯ Python
https://t.co/k736uzifHP
❯ SQL
https://t.co/0McNhq41HU
❯ Excel, PowerBI
https://t.co/x685i8d8pa
❯ R
https://t.co/w1KvTXZfYy
❯ Tableau
https://t.co/edNxTVBG48
❯ PowerBI (Data Analytics)
https://t.co/Msr9CUtclT
❯ Mathematics
https://t.co/WanP7fdDB0
❯ Statistics
https://t.co/Z328Xdjs2O
❯ Linear Algebra
https://t.co/WSeySjWv7D
❯ Probability
https://t.co/jmoONuWKVO
❯ Data Analysis
https://t.co/m0PqmBc838
❯ Data Visualization
https://t.co/DkknCBQUMv
❯ Machine Learning
https://t.co/5Qa2PdX674
❯ Deep Learning
https://t.co/uexo9Vhvi0
𝗗𝗲𝘃𝗢𝗽𝘀 𝗮𝘀 𝗮 𝗕𝘂𝗿𝗴𝗲𝗿 (𝗗𝗮𝗮𝗕)
What should the DevOps engineer roadmap look like:
𝟭. 𝗟𝗲𝗮𝗿𝗻 𝗮 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 (Python, Go, ...) to write automation scripts
𝟮. 𝗠𝗮𝘀𝘁𝗲𝗿 𝗼𝗻𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺 (Linux) and its command-line interface (CLI)
𝟯. 𝗠𝗮𝘀𝘁𝗲𝗿 𝘀𝗲𝗿𝘃𝗲𝗿 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, web servers, including proxies such as Nginx or IIS
𝟰. 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻�� 𝗗𝗼𝗰𝗸𝗲𝗿
𝟱. 𝗖𝗵𝗲𝗰𝗸 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀
𝟲. 𝗨𝗻𝗹𝗼𝗰𝗸 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘀 𝗖𝗼𝗱𝗲 (IaC) using tools like Terraform, Ansible, Chef, or Puppet for provisioning and configuration management
𝟳. 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗽𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀: DNS, IP addresses, ports, and the OSI model
𝟴. 𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻/𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 (𝗖𝗜/𝗖𝗗) 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 for automating app delivery and deployment stages
𝟵. 𝗠𝗮𝘀𝘁𝗲𝗿 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 for real-time oversight of applications, services, and infrastructure
𝟭𝟬. 𝗚𝗮𝗶𝗻 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗖𝗹𝗼𝘂𝗱 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 like AWS and Azure.
To learn more about it, check out my complete DevOps roadmap for 2023 in the comments.
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