Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Learning Data Science
Search
Amit Kapoor
February 25, 2017
Science
0
790
Learning Data Science
A thoughtful approach for building your Data Science skills and portfolio.
Amit Kapoor
February 25, 2017
Tweet
Share
More Decks by Amit Kapoor
See All by Amit Kapoor
Democratize Deep Learning Models
amitkaps
0
56
Crafting Visual Stories with Data
amitkaps
1
230
Deep Learning in the Browser
amitkaps
0
790
Architectural Design for Interactive Visualization
amitkaps
0
960
Deep Learning for Image
amitkaps
1
440
Building & Scaling Data Science Capabilities
amitkaps
1
130
Interactive Data Visualisation
amitkaps
2
600
Datum Design: Rethinking Data Visualisation for Business
amitkaps
0
330
Think Stories, Not Slides
amitkaps
2
580
Other Decks in Science
See All in Science
小杉考司(専修大学)
kosugitti
2
570
Online Feedback Optimization
floriandoerfler
0
530
眼科AIコンテスト2024_特別賞_6位Solution
pon0matsu
0
220
Celebrate UTIG: Staff and Student Awards 2024
utig
0
500
構造設計のための3D生成AI-最新の取り組みと今後の展開-
kojinishiguchi
0
640
事業会社における 機械学習・推薦システム技術の活用事例と必要な能力 / ml-recsys-in-layerx-wantedly-2024
yuya4
3
250
The thin line between reconstruction, classification, and hallucination in brain decoding
ykamit
1
1k
Pericarditis Comic
camkdraws
0
1.5k
科学で迫る勝敗の法則(名城大学公開講座.2024年10月) / The principle of victory discovered by science (Open lecture in Meijo Univ. 2024)
konakalab
0
230
ウェーブレットおきもち講座
aikiriao
1
800
拡散モデルの概要 −§2. スコアベースモデルについて−
nearme_tech
PRO
0
700
深層学習を利用して 大豆の外部欠陥を判別した研究事例の紹介
kentaitakura
0
250
Featured
See All Featured
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
32
2.7k
How to Ace a Technical Interview
jacobian
276
23k
No one is an island. Learnings from fostering a developers community.
thoeni
19
3k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
229
52k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
28
9.1k
Bash Introduction
62gerente
608
210k
Typedesign – Prime Four
hannesfritz
40
2.4k
Thoughts on Productivity
jonyablonski
67
4.4k
Principles of Awesome APIs and How to Build Them.
keavy
126
17k
Building an army of robots
kneath
302
44k
4 Signs Your Business is Dying
shpigford
181
21k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
232
17k
Transcript
Learning Data Science A thoughtful approach for building your Data
Science Skills Amit & Bargava
Data Science as a Craft
Art - Craft - Science
craft | krɑːft noun: An activity involving skill in making
or doing things by hand
How do you learn a craft?
Seek Inspiration
Start with Basics
Do Repetitions
Conduct Deliberate Practice
Focus on Mastery
Learning Data Science Ten guides for skill building
Shailii Understand your learning style. Choose the right approach -
Hacker v/s Structured. Online v/s Classroom. Self-driven v/s Mentor-driven.
Sangha Find your own community. Most of our learning happens
through peers. Find a set of data science peers that you can engage with.
Gunas Understand the basics. Start with learning the math &
statistics needed. Build an intuition on how the algorithms & the libraries work.
Prakerana Learn the data science process Grok the approach to
problem solving with data - Frame, Acquire, Refine, Transform, Explore, Model & Insight.
Abhyaas Practice, Practice, Practice. Repeat the data science process multiple
times on different types of problems.
Ruchi Do projects that interest you. Pick from work domain,
sports, economics, public policy etc. You are more likely to stick through the arduous journey of doing it.
Pradarshan Create a public profile. Share what you do so
people can connect with you. Create a public portfolio on Github or a blog or website.
Pratikriya Get Feedback. Put your work out there. It could
be a small analysis, visualisation, a mini-library. Nothing is too small to share.
Rachit Create a Data Science Portfolio. Work on at least
6 - 8 different projects over the next 1 year to build a portfolio of projects across topics.
Laaya Find your own rhythm. Build and do something every
day, week or month. Find your own cadence and start creating.
Advice for Beginners
None
Amit Kapoor @amitkaps amitkaps.com Bargava Subramanian @bargava