Micro Service untuk Data Science dalam TISC

Menurut https://en.wikipedia.org/wiki/Data_science

https://www.edureka.co/blog/what-is-data-science/

Sebelum mempelajari pengembangan Micro Service, perlu dahulu diketahui Data science adalah bidang inter-disiplin yang menggunakan:

https://en.wikipedia.org/wiki/Data_science https://www.edureka.co/blog/what-is-data-science/
metode saintifik machine learning principles
proses-proses various tools
algoritma-algoritma algorithms

untuk mengekstraksi pengetahuan dan pendalaman dari data dalam variasi bentuk, keduanya terstruktur dan tidak terstruktur, sama-sama ke data mining ==>> the goal to discover hidden patterns from the raw data.

Dari https://www.upgrad.com/data-science/ diketahui bahwa untuk menguasai data science ada kursus online dengan milestones sebagai berikut:

  1. Learn from Top Experts & Faculty;
  2. Industry-relevant Curriculum;
  3. Know More! Learn From DataExperts;
  4. Domain Specialization; Data Management;
  5. Big Data Analytics; Capstone Project;

Tools: MySQL, Python, Tableau, Spark, Hadoop, R.

Keuntungan program yang perlu diaransemen:

  1. University Experience => Data scientists are highly educated – 88% have at least a Master’s degree and 46% have PhDs – and while there are notable exceptions, a very strong … (https://www.kdnuggets.com/2018/05/simplilearn-9-must-have-skills-data-scientist.html);
  2. Dedicated Support;
  3. Career Guidance; (Career Impact) => Opportunities for data scientists—one of today’s hottest jobs—are rapidly growing in response to the exponential amounts of data being captured and analyzed (https://academy.microsoft.com/en-us/professional-program/tracks/data-science/);
  4. Industry Projects;

  5. Program Vitals;

  6. Instructors and Mentors;