Statistics for Data Scientists Training in Bangalore - ZekeLabs Best Statistics for Data Scientists Training Institute in Bangalore India
Statistics for Data Scientists-training-in-bangalore-by-zekelabs

Statistics for Data Scientists Training

Statistics for Data Scientists Course: -
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Assignments
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Industry Level Projects
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Certification

Statistics for Data Scientists Course Curriculum



Elements of Structured Data
Rectangular Data
Nonrectangular Data Structures
Estimates of Location
Median and Robust Estimates
Further Reading
Standard Deviation and Related Estimates
Example: Variability Estimates of State Population
Exploring the Data Distribution
Frequency Table and Histograms
Further Reading
Mode
Further Reading
Scatterplots
Exploring Two or More Variables
Two Categorical Variables
Visualizing Multiple Variables
Random Sampling and Sample Bias
Random Selection
Sample Mean versus Population Mean
Selection Bias
Further Reading
Central Limit Theorem
Further Reading
Resampling versus Bootstrapping
Confidence Intervals
Normal Distribution
Long-Tailed Distributions
Student’s t-Distribution
Binomial Distribution
Poisson and Related Distributions
Exponential Distribution
Weibull Distribution
Summary
A/B Testing
Why Just A/B? Why Not C, D…?
Hypothesis Tests
Alternative Hypothesis
Further Reading
Permutation Test
Exhaustive and Bootstrap Permutation Test
For Further Reading
P-Value
Type 1 and Type 2 Errors
Further Reading
Further Reading
Further Reading
Further Reading
F-Statistic
Further Reading
Chi-Square Test: A Resampling Approach
Fisher’s Exact Test
Further Reading
Further Reading
Sample Size
Summary
Simple Linear Regression
Fitted Values and Residuals
Prediction versus Explanation (Profiling)
Multiple Linear Regression
Assessing the Model
Model Selection and Stepwise Regression
Prediction Using Regression
Confidence and Prediction Intervals
Dummy Variables Representation
Ordered Factor Variables
Correlated Predictors
Confounding Variables
Testing the Assumptions: Regression Diagnostics
Influential Values
Partial Residual Plots and Nonlinearity
Polynomial
Generalized Additive Models
Naive Bayes
The Naive Solution
Further Reading
Covariance Matrix
A Simple Example
Logistic Regression
Logistic Regression and the GLM
Predicted Values from Logistic Regression
Linear and Logistic Regression: Similarities and Differences
Further Reading
Confusion Matrix
Precision, Recall, and Specificity
AUC
Further Reading
Undersampling
Data Generation
Exploring the Predictions
K-Nearest Neighbors
Distance Metrics
Standardization (Normalization, Z-Scores)
KNN as a Feature Engine
A Simple Example
Measuring Homogeneity or Impurity
Predicting a Continuous Value
Further Reading
Bagging
Variable Importance
Boosting
XGBoost
Hyperparameters and Cross-Validation
Principal Components Analysis
Computing the Principal Components
Further Reading
A Simple Example
Interpreting the Clusters
Hierarchical Clustering
The Dendrogram
Measures of Dissimilarity
Multivariate Normal Distribution
Selecting the Number of Clusters
Scaling and Categorical Variables
Dominant Variables
Problems with Clustering Mixed Dat

Frequently Asked Questions


We provide classroom-based as well as online training. Since this is a hand-on training so batches generally does not contain more than 4 people.

We will provide web services specific study material as the course progresses. You will have lifetime access to all the code and basic settings needed for these Statistics for Data Scientists through our github account and the study material that we share with you. You can use that for quick reference.

Feel free to drop a mail to us at support@zekelabs.com and we will get back to you at the earliest for your queries on Statistics for Data Scientists course

We have tie ups with various companies and placement organizations to whom we connect our learners. Each Statistics for Data Scientists training ends with career consulting

Minimum 2-3 projects of industry standards on Statistics for Data Scientists will be provided

Yes, we provide our own course completion certificate to all students. Each Statistics for Data Scientists training in bangalore ends with training and project completion certificate

You can pay by card (debit/credit), cash, cheque and net-banking. You can pay in two installments

We take immense pride to provide post training career consulting for Statistics for Data Scientists training



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