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What's the difference between data science and data engineering?
A data scientist work is to extract information from data using various techniques like data mining, stastical modelling, machine learning, AI for business or research impact A data engineer usually works...
Anupam
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What statistics should I know to do data science?
These are some statistical techniques you should know: 1) z-test, t-test, Chi-square 2)ANOVA,Degree of Freedom 3) Tests for assumptions for linear regression(Autocorrelation, heteroskedacity, etc) 4)...
Atharva
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What are the applications of Data Science in Finance?
Data science has the most applications in Finance domain(Lending). Let me provide few examples: 1) Credit Risk Modelling 2) Collctions Analytics 3) Credit Policy Optimization 4) Marketing Analytics(A/B...
Monica
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Trending Lessons in Data Science classes

TOP 10 Tools for Data Science
TOP 10 Tools for Data Science1. Python2. SQL3. R4. Tableau5. PowerBI6. Java7. Julia8. Scala9. SAS10. ExcelTOP 10 Websites for Data Science1. Coursera3. EdX4. Udacity5. Kaggle6. Analytics Vidhya7. KDNuggets8....

4 Key Things to Learn for Data Science
1. Theory:Use Coursera and EdX for theory, concepts, and applications of probability, statistics, linear algebra, calculus, and machine learning.2. Data Visualisation:Tableau and PowerBI are easy-to-use...

What is Time Series?
What is a Time Series? Time Series data is a series of data points indexed or listed or graphed with an equally spaced period. Time series forecasting is the use of the model to predict future values...

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