Data Science Statistics Training

Training in Chennai

Module 1

  • Introduction to Statistics
  • Five Number Summary
  • The Centre of the Data and the Effects of Extreme Values
  • The Spread of the Data
  • The Shape of the Data
  • Categorical Variables
  • Some Features of Data
  • Relationships Between Quantitative and Categorical Variables
  • Examining Relationships Between Two Categorical Variables
  • Relationships Between Two Quantitative Variables
  • Data Collection
  • Sampling-Data Collection
  • Observational Studies-Data Collection
  • Experiments
  • The Need for Probability
  • Some Probability Basics
  • Probability Distributions
  • Long-Run Averages
  • Sampling Distributions
  • Introduction to Confidence Intervals
  • Confidence Intervals for Proportions
  • Sample Size for Estimating a Proportion
  • Confidence Intervals for Means-Robustness of Confidence Intervals
  • Introduction to Statistical Tests
  • The Structure of Statistical Tests
  • Hypothesis Testing for Proportions
  • Hypothesis Testing for Means
  • Power and Type I and Type II Errors
  • Connection Between Confidence Intervals and Hypothesis Testing
  • Matched Pairs
  • Comparing Two Proportions
  • Comparing Two Means
  • The Linear Regression Formula
  • Regression Coefficients Residuals and Variances
  • Regression Inference and Limitations
  • Residual Analysis and Transformations

Module 2

  • Machine Learning in Data Science
  • Hypothesis Space and Inductive Bias
  • Evaluation and cross-validation
  • Linear Regression
  • Decision Trees
  • Bayesian Learning
  • Naive Bayes
  • k-Nearest Neighbour
  • PCA
  • Logistic Regression
  • Support Vector Machine for both linear and rbf kernels
  • Lasso,Ridge,Elastic Net
  • Ensemble Regressor/Ensemble classifier
  • Module 3:Big Data in Data Science
  • Hadoop
  • HDFS
  • Pig
  • Sqoop
  • Hive
  • Flume
  • Spark
  • Nosql Hbase
  • Kafka
  • Cloudera Distribution
  • Hortonworks Distribution
  • MapR Distribution
  • Hue
  • Oozie
  • Talend,ETL Integration
  • Tableau Integration
  • Nifi
  • Introduction to Tableau
  • What is Tableau?
  • Tableau User Interface
  • Basic Tableau Design Flow
  • Basic Visualization Design
  • Show Me! choosing Mark Types color
  • Size, and Shape Options
  • shaped Axis Charts-combination Charts
  • Measure Names
  • Measure Values
  • Data Connection
  • Connecting to Various Data Sources
  • Customizing Your View of the Data
  • Sets
  • Groups
  • Hierarchies
  • Extracting Data
  • Data Blending
  • Top 10 Chart
  • Bar Chart,Line Chart
  • Area Chart
  • Text Table/Cross Tab
  • Scatter Plot/Bubble Chart
  • Bullet Chart,Box Plot
  • Tree Map
  • Pie Chart
  • World Cloud
  • Interacting With the Viewer
  • Quick Filters
  • Parameters
  • Worksheet Actions
  • Tableau maps
  • Geocoded Fields
  • Custom Geocoding
  • Background Map Options
  • Custom Background Images
  • Calculated Fields, Table Calculations, and Statistics
  • Creating Custom Calculations
  • Simple and Advanced Table Calculations
  • Using Table Calculations Functions in Custom Calculations
  • Reference Lines, Bands, and Distribution,Trend Lines
  • Creating Dashboards
  • Organizing Worksheets
  • Containers, Images, Text, and Web Pages
  • Dashboard Actions
  • Distributing and Sharing Your Dashboards
  • Exporting Worksheets and Dashboards
  • Publishing to Tableau Server
  • Creating Tableau Server User Filters
  • Smartphones and Tablets with iOS and Android
  • Calculation Function and Operator Reference
Developed by God Particles
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