13 Things Every Data Scientist Must Know Today

We have spent close to a decade in data science & analytics now. Over this period, We have learnt new ways of working on data sets and creating interesting stories. However, before we could succeed, I failed numerous times. Success doesn’t come easy!

Hence, we decided to share 13 things which experience has taught me in the last 8 years. Hope you find them useful. The idea is to help people, who don’t have a mentor to provide them this advice all the time. So go ahead and read:

1.  Master 6 Algorithms:

• Random Forest

• Logistic

• Regression

• NeuralNetworks

• FTRL

• XGBBoost, SVM

2. Structured Thinking

3. Feature Engineering:

•       ML Algorithms

4. Develop Business Understading.

5. Ensemble Modeling & Boosting.

6. Stakeholder Management.

7. Data Cleaning.

8. Story Telling.

9. Cross Validation.

10. Networking.

11. Time Series Data.

12. Impmentation Matters.

13. Learn Python.