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Asked by Atharva Last Modified
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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
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I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for training. Pease lemme know how i can prepare myself.
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