Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Learning Data Science
Search
Amit Kapoor
February 25, 2017
Science
930
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Learning Data Science
A thoughtful approach for building your Data Science skills and portfolio.
Amit Kapoor
February 25, 2017
More Decks by Amit Kapoor
See All by Amit Kapoor
Democratize Deep Learning Models
amitkaps
0
130
Crafting Visual Stories with Data
amitkaps
1
330
Deep Learning in the Browser
amitkaps
0
940
Architectural Design for Interactive Visualization
amitkaps
0
1.2k
Deep Learning for Image
amitkaps
1
550
Building & Scaling Data Science Capabilities
amitkaps
1
200
Interactive Data Visualisation
amitkaps
2
740
Datum Design: Rethinking Data Visualisation for Business
amitkaps
0
440
Think Stories, Not Slides
amitkaps
2
710
Other Decks in Science
See All in Science
東北地方における過去20年間の降水量の変化
naokimuroki
1
500
データベース14: B+木 & ハッシュ索引
trycycle
PRO
0
920
データベース12: 正規化(2/2) - データ従属性に基づく正規化
trycycle
PRO
0
1.7k
大黒市で発生した大規模インシデント の ポストモーテムから読み解く、 記憶媒体消去の大切さ
shucho0103
0
280
生成AIが科学とRAにもたらしていること:メタサイエンスの視点から
rmaruy
0
140
データベース10: 拡張実体関連モデル
trycycle
PRO
0
1.6k
20260820_アウトカムが二値のデータに対するCausal Impact@LINEヤフー Data Science Share #2 / Causal Impact for Binary Outcomes
brainpadpr
3
1.4k
データベース06: SQL (3/3) 副問い合わせ
trycycle
PRO
1
1.1k
チュートリアル:世界モデル
hf149
0
2.2k
機械学習 - K-means & 階層的クラスタリング
trycycle
PRO
0
2.1k
不動産業界における業界特化のデータ整備とAI活用 ─Vertical DataとVertical AI─
estie
1
970
機械学習 - pandas入門
trycycle
PRO
0
710
Featured
See All Featured
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
990
Ethics towards AI in product and experience design
skipperchong
2
370
The browser strikes back
jonoalderson
0
1.7k
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
11
1k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
35
2.8k
GraphQLとの向き合い方2022年版
quramy
50
15k
Code Reviewing Like a Champion
maltzj
528
40k
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
1.9k
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
2
570
Building AI with AI
inesmontani
PRO
1
1.2k
Practical Orchestrator
shlominoach
192
12k
Facilitating Awesome Meetings
lara
57
7.1k
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