Data Science 101 : Data, Data, Everywhere!

•Memahami pentingnya Data bagi sebuah company
• Mengenal peran-peran yang ada di dunia Data dan tugasnya
• Mengetahui cara memilih peran data mana yang tepat sesuai dengan kemampuan diri
• Mengetahui cara membangun CV dan portofolio yang tepat untuk terjun ke bidang Data

Transcript

1. Berkarya Di Bidang Data Photo by Tomas Sobek on Unsplash.This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
2. Hold On! Please Enter This Survey This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. Use this link: OR Visit menti.com and enter this code: 4410 2556 https://www.menti.com/wmphqaj8xd
3. Iqbal Hanif Institut Pertanian Bogor (2011 - 2015) Telkom Indonesia (2016 – now) Officer 2 / Junior Data Scientist (2020) Officer 3 Data Scientist (2017) Trainee - GPTP IV (2016) S1 Statistika, Minor: Ekonomi & Studi Pembangunan This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
4. Outline This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. Data Professionals How to Start Competitions Growing Up Skills Portfolio Let’s Apply Type of Analytics Role in Data Science/Data Analytics Use Cases/Projects What are Data? Data Big Data Actionable Insight Data Science
5. What are Data? Photo by Stephen Dawson on Unsplash.This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
6. Photo by Bagus Sartono. This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. These are Data
7. This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. And then Big Data
8. Are they useful? Photo by pngkey.This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. The biggest taxi company owns no car The largest accommodation company owns no real estate The largest retailer carries no inventory The biggest media company owns no content
9. Actionable Insight Photo by Brend Dykes on Forbes.This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. Data information Insight Action Source: Forbes Aggreagete, summary, statistics Analyzing information and drawing conclusions Problem solving or make changes Raw and unprocessed facts
10. Data Science Data Science intends to analyze and understand actual phenomena with "data". In other words, the aim of data science is to reveal the features or the hidden structure of complicated natural, human and social phenomena with data with data from a different point of view from the established or traditional theory and method – Chikio Hayashi, The Institute of Statistical Mathematics Japan This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. Data Science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data - Shyue Ping Ong, UC San Diego Source: UC San Diego
11. Data Professionals Photo by Stephen Dawson on Unsplash.This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
12. Type of Analytics This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. Source: Gartner
13. Data Science Roles Icons made by Euclayp, Becris, Mynamepong, and Catkuro from www.flaticon.com. This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. • Knowledge of database • Ability to query data (SQL, NoSQL) • Ability to describe data (Trends, changes, etc) • Ability to use visualisation tools (Tableau, PBI) • Fluent at spreadsheet (Excel, sheet) • Ability to present data (Slides, Dashboards) • Business Acumen • Data Modeling (Statistical/Machine Learning) • Conduct Research (Statistics) • Experiment (A/B testing) • Extract insights, Tell Story • Programming (Python, R, ..) • Knowledge of database architecture • Knowledge of cloud platforms • Data pipeline (ETL) • Programming (Python, Scala, Java..) • State-of-the art machine learning models • Deep Learning • Computer Vision, NLP • Model deployment ++Statistics/Math Data Scientist ++Data Engineering Data Engineer ++Software Engineering Machine Learning Engineer ++Business Business Intelligence ++Product Product Analyst Data Analyst
14. Data Science Products/Services CRM & Marketing Computer Vision Text, Web, and Social Media Operations & Performance Analytic as a Service Customer Relationship Management (CRM) Customer 360 & Segmentation Recommendation System Optical Character Recognition (OCR) Face Recognition Video Analytics Satellite Imagery Analytics Web Analytics Social Media Analytics Natural Language Processing (NLP) / Text Analytics Robotic Automation Process (RPA) Executive/Operational Dashboard Geographic Information System (GIS) Media Rating Risk Scoring Marketing Campaign This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
15. Data Science Tools Databases ETL & Scheduler Visualization Others Programming & Analytics This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
16. Machine Learning Everywhere (?) This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. Source: github.com/trekhleb/homemade-machine-learning
17. Types of Use Cases Regression Clustering Classification Icons made by Flat Icons from www.flaticon.com. This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
18. Types of Use Cases Statistics Visualization Icons made by Flat Icons from www.flaticon.com. This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
19. How to Start to be Data Professionals Photo by Stephen Dawson on Unsplash.This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
20. Competitions 21% 44% 29% 6% Bachelor's Degree Master's Degree Ph.D. Others Education Level Field of Study Percentage Computer Science 3.053% Business Analytics 0.977% Physics 0.855% Information Technology 0.855% Statistics 0.733% Elctical Engineering 0.733% Applied Mathematics 0.733% Economics 0.611% Actuarial Science 0.611% Field of Study Percentage Business Analytics 4.274% Computer Science 3.175% Knowledge Engineering 2.930% Analytics 2.808% Statistics 2.564% Enterprise Business Analytics 2.564% Economics 0.733% Information Technology 0.611% Computer Engineering 0.611% Bachelor Master https://towardsdatascience.com/i-wasnt-getting-hired-as-a-data-scientist-so-i-sought-data-on-who-is-c59afd7d56f5 1. Try to be more outstanding, or Tips: Source: 2. Find jobs with specific education requirement. This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
21. Competitions This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
22. Growing Up Skills rank 2015 change in rank 2018 1Python [+1]Machine Learning 2Machine Learning [+2]Data Science 3R [ -2]Python 4Data Science [ -1]R 5Apache Spark [+5]SQL 6Data Mining [+3]Statistics 7Hadoop [new]Tableau 8Data Analysis [new]Data Visualization 9Statistics [new]NLP 10SQL [ -5]Apache Spark rank 2015 change in rank 2018 1Machine Learning [new]TensorFlow 2Python [ -1]Machine Learning 3Apache Spark [+1]Deep Learning 4Deep Learning [ new]Keras 5Algorithms [ -2]Apache Spark 6Java [new]NLP 7Big Data [new]Computer Vision 8Hadoop [ -6]Python 9Data Science [ -- ]Data Science 10C++ [ new]AWS Data Science Specialist Machine Learning Engineer http://www3.weforum.org/docs/WEF_Data_Science_In_the_New_Economy.pdf Source: 1. Don’t stop learning, find your own suitable learning platform Tips: 2. Try to implement your new skills in real case problem. This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
23. Growing Up Skills This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
24. Portfolio Level Up with Trainings Join in competitions Publishing your Masterpiece Get an Internship or a Job Engage with Community This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. • Online Training • Bootcamp • Summer Schools • Certification Evidence: Certificates • Kaggle • DS Competition • National Competition • Hackathon Evidence: Awards, Codes • GitHub • Medium • Research Papers Evidence: Codes, Writings, Blogs, etc. • Internship • Project • Contract Based Evidence: Internship/ Employment Letter • Volunteering • Lecturing/Mentoring Evidence: Token of appreciation
25. Portfolio Role Model This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. Source: Data Science Weekend 2021
26. Applying for A Job Administration / Document Selection Computer / Online Test Psychology Assessment Interview Medical Check Up 1. Prepare required documents (CV, TOEFL, Degree Cert., etc.) 2. Contact recruiters / PIC if have some questions about ducuments 3. Don’t Lie! Your document will be verified 1. Check the test schedule 2. Prepare computer and connection for the test 3. Study, but don’t forget to have enough rest 1. Check the assessment schedule and location (if offline) 2. Do benchmarking about psychology assessment 3. Take a good rest, it will be exhausting. 1. Check the interview schedule and location (if offline) 2. Guess the possible questions 3. Prepare the best introduction and closing statement (talk, gesture, etc.) 1. Check the medical check up schedule and location 2. Follow the instruction (e.g: last time to eat 3. Don’t forget to exercise and eat healthy food before the check up Icons made by Smashicons from www.flaticon.com.This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.
27. References This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator. Afendi, F. M. Data Science for Customer Analytics [PDF document]. Retrieved from https://www. stat.ipb.ac.id/main/category/seminar-online/ Dykes, B. Actionable Insights: The Missing Link Between Data And Business Value. Retrieved from https://www.forbes.com/sites/brentdykes/2016/04/26/actionable-insights-the-missing-link-between- data-and-business-value/?sh=7484d4d851e5 Herdiyeni, Y. Tren AI & Data Sains: Peluang dan Tantangan [PDF document] Samad, H. I wasn’t getting hired as a Data Scientist. So I sought data on who is, Retrieved from https:// towardsdatascience.com/i-wasnt-getting-hired-as-a-data-scientist-so-i-sought-data-on-who-is- c59afd7d56f5 Sartono, Bagus. Statistika dan Sains Data untuk Pemanfaatan Data di Era Disrupsi [PDF document], Retrieved from https://www.stat.ipb.ac.id /main/category/seminar-online/ World Economic Forum. Data Science in the New Economy [PDF document], Retrieved from http://www3. weforum.org/docs/WEF_Data_Science_In_the_New_Economy.pdf
28. That’s All My Contacts https://www.linkedin.com/in/iqbal-hanif-a7599662/ iqbal.hanif.ipb@gmail.com My Articles/Writings My Portfolios https://www.researchgate.net/profile/Iqbal_Hanif https://medium.com/@iqbalhannif https://github.com/iqbalhanif https://speakerdeck.com/iqbalhanif This document created by Iqbal Hanif. Not for sale & distribution without permission from its creator.