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
860
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
85
Crafting Visual Stories with Data
amitkaps
1
270
Deep Learning in the Browser
amitkaps
0
860
Architectural Design for Interactive Visualization
amitkaps
0
1.1k
Deep Learning for Image
amitkaps
1
490
Building & Scaling Data Science Capabilities
amitkaps
1
150
Interactive Data Visualisation
amitkaps
2
670
Datum Design: Rethinking Data Visualisation for Business
amitkaps
0
380
Think Stories, Not Slides
amitkaps
2
650
Other Decks in Science
See All in Science
オンプレミス環境にKubernetesを構築する
koukimiura
0
350
テンソル分解による糖尿病の組織特異的遺伝子発現の統合解析を用いた関連疾患の予測
tagtag
2
240
Trend Classification of InSAR Displacement Time Series Using SAE–CNN
satai
4
630
AI(人工知能)の過去・現在・未来 —AIは人間を超えるのか—
tagtag
1
120
機械学習 - K近傍法 & 機械学習のお作法
trycycle
PRO
0
1.2k
ttl2html (RDF/Turtle to HTML)
masao
0
110
Transport information Geometry: Current and Future II
lwc2017
0
200
AIによる科学の加速: 各領域での革新と共創の未来
masayamoriofficial
0
120
コンピュータビジョンによるロボットの視覚と判断:宇宙空間での適応と課題
hf149
1
320
Masseyのレーティングを用いたフォーミュラレースドライバーの実績評価手法の開発 / Development of a Performance Evaluation Method for Formula Race Drivers Using Massey Ratings
konakalab
0
190
アナログ計算機『計算尺』を愛でる Midosuji Tech #4/Analog Computing Device Slide Rule now and then
quiver
1
260
システム数理と応用分野の未来を切り拓くロードマップ・エンターテインメント(スポーツ)への応用 / Applied mathematics for sports entertainment
konakalab
1
390
Featured
See All Featured
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.5k
KATA
mclloyd
32
14k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
46
7.6k
A designer walks into a library…
pauljervisheath
207
24k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
248
1.3M
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
113
20k
[RailsConf 2023] Rails as a piece of cake
palkan
57
5.8k
Fantastic passwords and where to find them - at NoRuKo
philnash
52
3.4k
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
PRO
188
55k
The Straight Up "How To Draw Better" Workshop
denniskardys
236
140k
GitHub's CSS Performance
jonrohan
1032
460k
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