DexLab Certified

BUSINESS ANALYTICSTraining Module

96 HOURSPractical Learning

SAS (Base & Advanced) Analytics & Predictive Modeling Tableau BIWEEKDAY & WEEKEND BATCHES CLASSROOM & LIVE ONLINE

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Base SAS Introduction to SAS

• An overview of the SAS system

• Types of Libraries

• Creating Variable Attributes

• Create temporary and permanent SAS data sets

• Preparation of new dataset based on existing data set

• New variable Creation

• Dropping existing variable (Drop & Keep keywords)

• First variable, Last variable (Firstobs & obs options)

Data steps, Proc steps and ConditionalStatements

• Proc Means, Proc Freq, Proc Sort, Proc Contents

• Where, If, If then Else Statements

• Wild Cards

Accessing Data using Proc Import & Export• Combine SAS data sets using the DATA step

• Many Ways to create SAS Datasets

• Importing & Exporting SAS data sets (Txt, CSV and other delimited)

Enhancing Output with ODS• Concepts of the Output Delivery System

• Using ODS Statements to generate HTML, PDF & RTF report

SAS Functions and Options• Use SAS functions to manipulate character data, numeric data

• SAS date values Date functions – systdate, week, month, quarter, year

• SAS Time functions – intck, datdif & yrdif, mdy, etc.

• SAS Text functions – upcase, lowcase & propcase

Report Generation, Merging & Appending Datasets• Generate list reports using the PRINT, REPORT, TABULATE and SORT

procedures

• Proc Summary, Proc Univariate, Proc Means, Proc Freq

• Merging Datasets, Subsetting the datasets, Appending the datasets –Union, Intersect, Except

SAS Arrays• INFILE statement – Missover, Truncover, Pad, DSD, DLM

• Dimensions of an Array Use FORMATTED, LIST and COLUMN input to

• read raw data files

• Array elements and Range Do – End Loops

Advanced SAS Proc SQL (Structured Query Language)

• Introduction to SQL

• Select clause

• Data set Manipulations (creating, updating, deleting) using SAS SQL

• Use of conditional statements (Where Statement, Between, And, etc.)

• Group By, Order By, Having expressions in SQL

• Dataset Join -Inner Join, Left Join, Right Join, Full Join

SAS Macros• Introduction to SAS Macro, Macro Variable & Macro Program

• Defining and calling a Macro

Core Analytics

Introduction to Analytics• Evolution of Analytics

• Definition of Analytics

• Scope of analytics in different industries

Types of Analytics• Descriptive Analysis

• Predictive Analysis

• Prescriptive Analysis

Concepts of Analytics• Confirmatory & Exploratory Analysis

• Different Scale of Measurement-Nominal, Ordinal, Interval

• Ratio Attribute and Variable concept

• Graphical Representation of Data

• Measures of Central Tendency-Mean, Median, Mode

• Measures of Dispersion-Range, Variance, Standard Deviation

• Measures Of Location-Quartiles, Interquartile Range

• Outliers & Box Plot Graphs

Probability• Concept of Probability

• Probability mass function

• Random Variables-Discrete and Continuous

• Binomial Distribution

• Poisson Distribution

• Normal Distribution

Sampling Theory• Concept of sampling: Population and Sample

• Types of Sampling

• Probability sampling-Simple, Stratified, Systematic

• Non probability Sampling-Convenience, Judgmental

• Testing Of Hypothesis-Null and Alternative

• Type I error and Type II error

• Significance level

• Confidence Interval

Parametric Test• Concept of Parametric test

• Z test

• T testTwo independent sample T test

• Paired sample T test

Association between Variables• Chi square Test for Independence

• Scatter Plot

• Correlation

• Partial Correlation

Analysis Of Variance (ANOVA)• One-Way & Two-Way ANOVA

Cluster Analysis• Approaches to Cluster Analysis

• Agglomerative & Divisive methods

• Non-hierarchical methods or K Means Clustering

Factor Analysis• Principal Component analysis(PCA)

• Exploratory Factor Analysis(EFA)

• Concept of Eigen Value and Eigen Vector

Predictive Modeling Linear Regression

• Assumptions of Simple Linear Regression Model

• Method of Least squares

• Goodness of Fit model (R square and Adjusted Rsquare)

• Multiple Linear Regression Model

• Concept of Multicollinearity, Heteroscedasticity & Autocorrelation

Logistic Regression• Introduction to Logistic Regression

• Concept of Odds and Odds ratio

• The Likelihood Ratio and Wald Test

• Goodness of fit test: Hosmer-Lemeshow test

• Receiver Operating Characteristic ( ROC)

• Concordance

Time series Analysis• Time Series Components: Trend, Cyclical, Seasonal and Random

• Moving Averages Concept

• Exponential Winters Method

• Random Walk Model

• Unit Root problem

• Autocorrelation Function (ACF)

• Autoregressive (AR) and Moving Average (MA) process

• Box-Jenkins Methadology

• ARIMA

8+ industrial projects for implementation of Analytics

Tableau Tableau Introduction

• ableau Introduction.

• Overview of Tableau workbook, worksheets.

• Dimension & Measures

• Discrete And Continuous

Install Tableau Desktop & Download & Connect To Database

• Download Tableau Desktop ( 14 day Trial Licence)

• How to Connect Tableau Desktop to Various Files.

• Create Data Extracts

• Use of Mark/Size/Colour/Transparency/Label

• Tool Tip/ Detail / View Highlight

Different Chart Types• Area Maps

• Scatter Plot

• Heat Maps

• Bar Charts

• Line Charts

• Histograms

• Box And Whisker

• Pie Chart

• Maps

• Dual Axis Charts

Data Organising• Create Sets

• Create Bins

• Create Groups

• Using Sets and Group to Increase the Efficiency of Work.

• Filters & Types of Filter

• Drilling , Alias

• Sorting ,Computed Sort, Axis Sort

Formatting• Format Visualization

• Size, Shapes, Details, Tooltips

• Size, Shapes, Details, Tooltips

• Labels , Annotations

• Titles, Captions

• Legends ,Highlight

• Handle Null Values

Calculated Fields• Calculated Fields

• String / Date / Logical Functions

• Calculated Column using single Formula.

• Aggregation / Dis-Aggregation

Table Calculations• Using Table Calculations

• Difference Between Calculated Field and Table Calculations

• Computation Direction For Table Calculation.

• QA

Level Of Detail Expressions• Table Scoped LOD

• FIXED LOD

• Include/ Exclude LOD.

• LOD and Aggregations

• Filters And LOD

• Data source Constraints Of LOD

Reference Lines, Bands, Distributions And Boxes• Types Of Reference Lines, Bands, Distributions and Boxes

• Adding Of Reference Lines, Bands, Distributions and Boxes

• Editing/ Removing Of Reference Lines, Bands, Distributions and Boxes

Forecasting• Forecasting Constraints

• How Forecasting Works In Tableau

• Create A Forecast.

• Forecast Field Result

• Configure Forecast Result

• Forecast Description

• Null Forecast

• Resolving Forecasting

Parameters• Creating Parameters

• Editing Parameters

• Using Parameters In Filters, Calculations And Reference Lines

• Parameter Controls

Trend Lines• Adding/ Removing Trend Lines

• Trend Line Model Types and Terms

• Assessing Trend Lines Significance

• Answering Questions With Trend Lines

• Assumptions

Sharing Your Visualization• Tableau Public Concepts

• Basic Tableau Server Concepts

• Workbook, Packaged Workbook

• Export

• Print

• Publish as PDF

Interactive Dashboard Concepts and Story Telling• Create Dashboard

• Tiled & Floating Layout

• Filter , Highlight & URL Actions

• Create A Story

• New Features of Tableau 9.2

• Keyboard Shortcuts

• Upgrade Tableau Desktop

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