Post on 19-Jul-2018
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
• 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