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Data Science > What statistics should I know to do data science?
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What statistics should I know to do data science?

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Data Science Professional with more than 8 years of Experience in Finance

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) Time-series - ACF,PACF, Seasonality tests 5) Core-concepts - Covariance,correlation 6) Concepts...
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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) Time-series - ACF,PACF, Seasonality tests 5) Core-concepts - Covariance,correlation 6) Concepts like - KS-stastic, Ginni Index, Lorenz Curve, AUC 7) Confusion Matrix, Precision-Recall, Decile Analysis 8) All statsical modelling - Linear, Logisitic, Decision Trees 9) Theoroms like Bayes, Central Tendency 10) Sampling method -random, stratified random,etc As statistics is a very expanse subject, you should focus on statistics for business if your focus is career develpoment. You can book a demo class for more understanding read less
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My teaching experience 12 years

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) Time-series - ACF,PACF, Seasonality tests 5) Core-concepts - Covariance,correlation 6) Concepts like...
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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) Time-series - ACF,PACF, Seasonality tests 5) Core-concepts - Covariance,correlation 6) Concepts like - KS-stastic, Ginni Index, Lorenz Curve, AUC 7) Confusion Matrix, Precision-Recall, Decile Analysis 8) All statsical modelling - Linear, Logisitic, Decision Trees 9) Theoroms like Bayes, Central Tendency 10) Sampling method -random, stratified random,etc As statistics is a very expanse subject, you should focus on statistics for business if your focus is career develpoment. You can book a demo class for more understanding read less
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Online Mathematics tutor with 6 years experience(Online Classes for 10th to 12th)

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) Time-series - ACF,PACF, Seasonality tests 5) Core-concepts - Covariance,correlation 6) Concepts like...
read more
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) Time-series - ACF,PACF, Seasonality tests 5) Core-concepts - Covariance,correlation 6) Concepts like - KS-stastic, Ginni Index, Lorenz Curve, AUC 7) Confusion Matrix, Precision-Recall, Decile Analysis 8) All statsical modelling - Linear, Logisitic, Decision Trees 9) Theoroms like Bayes, Central Tendency 10) Sampling method -random, stratified random,etc As statistics is a very expanse subject, you should focus on statistics for business if your focus is career develpoment. You can book a demo class for more understanding read less
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