News

## 9019191856

+1 (210) 977-1011 (USA)

0

## Data Science

Training Mode: Class Room / Live Online

##### myTectra the Market Leader in Data Science Training in Bangalore

###### myTectra offers Data Science training in bangalore using Class Room. myTectra offers Live Online Data Science Training Globally.

 Getting Started With Data Science And Recommender Systems Data Science Overview Reasons to use Data Science Project Lifecycle Data Acquirement Evaluation of Input Data Transforming Data Statistical and analytical methods to work with data Machine Learning basics Introduction to Recommender systems Apache Mahout Overview Reasons To Use, Project Lifecycle What is Data Science? What Kind of Problems can you solve? Data Science Project Life Cycle Data Science-Basic Principles Data Acquisition Data Collection Understanding Data- Attributes in a Data, Different types of Variables Build the Variable type Hierarchy Two Dimensional Problem Co-relation b/w the Variables- explain using Paint Tool Outliers, Outlier Treatment Boxplot, How to Draw a Boxplot Acquiring Data Discussion on Boxplot- also Explain Example to understand variable Distributions What is Percentile? – Example using Rstudio tool How do we identify outliers? How do we handle outliers? Outlier Treatment: Using Capping/Flooring General Method Distribution- What is Normal Distribution Why Normal Distribution is so popular Uniform Distribution Skewed Distribution Transformation Machine Learning In Data Science Discussion about Box plot and Outlier Goal: Increase Profits of a Store Areas of increasing the efficiency Data Request Business Problem: To maximize shop Profits What are Interlinked variables What is Strategy Interaction b/w the Variables Univariate analysis Multivariate analysis Bivariate analysis Relation b/w Variables Standardize Variables What is Hypothesis? Interpret the Correlation Negative Correlation Machine Learning Statistical And Analytical Methods Dealing With Data, Implementation Of Recommenders Using Apache Mahout And Transforming Data Correlation b/w Nominal Variables Contingency Table What is Expected Value? What is Mean? How Expected Value is differ from Mean Experiment – Controlled Experiment, Uncontrolled Experiment Degree of Freedom Dependency b/w Nominal Variable & Continuous Variable Linear Regression Extrapolation and Interpolation Univariate Analysis for Linear Regression Building Model for Linear Regression Pattern of Data means? Data Processing Operation What is sampling? Sampling Distribution Stratified Sampling Technique Disproportionate Sampling Technique Balanced Allocation-part of Disproportionate Sampling Systematic Sampling Cluster Sampling 2 angels of Data Science-Statistical Learning, Machine Learning Testing And Assessment, Production Deployment And More Multi variable analysis linear regration Simple linear regration Hypothesis testing Speculation vs. claim(Query) Sample Step to test your hypothesis performance measure Generate null hypothesis alternative hypothesis Testing the hypothesis Threshold value Hypothesis testing explanation by example Null Hypothesis Alternative Hypothesis Probability Histogram of mean value Revisit CHI-SQUARE independence test Correlation between Nominal Variable Business Algorithms, Simple Approaches To Prediction, Building Model, Model Deployment Machine Learning Importance of Algorithms Supervised and Unsupervised Learning Various Algorithms on Business Simple approaches to Prediction Predict Algorithms Population data sampling Disproportionate Sampling Steps in Model Building Sample the data What is K? Training Data Test Data Validation data Model Building Find the accuracy Rules Iteration Deploy the model Linear regression Getting Started With Segmentation Of Prediction And Analysis Clustering Cluster and Clustering with Example Data Points, Grouping Data Points Manual Profiling Horizontal & Vertical Slicing Clustering Algorithm Criteria for take into Consideration before doing Clustering Graphical Example Clustering & Classification: Exclusive Clustering, Overlapping Clustering, Hierarchy Clustering Simple Approaches to Prediction Different types of Distances: 1.Manhattan, 2.Euclidean, 3.Consine Similarity Clustering Algorithm in Mahout Probabilistic Clustering Pattern Learning Nearest Neighbor Prediction Nearest Neighbor Analysis Integration Of R And Hadoop R introduction How R is typically used Features of R Introduction to Big data R+Hadoop Ways to connect with R and Hadoop Products Case Study Architecture Steps for Installing RIMPALA How to create IMPALA packages

To Learn Live Online Data Science Training Globally and Data Science Training in Bangalore using Class Room ENROLL TODAY at myTectra.

## Customer Reviews

1 Item(s)

per page
Job oriented software training provided Review by Nickson
Hi, I thank mytectra team for providing me good faculty and practical sessions . Good placements are also provided by them.

1 Item(s)

per page