BUSINESS ANALYTICS. 96 HOURS Practical Learning. DexLab Certified. Training Module. Gurgaon (Head Office)

Transcription

1 SAS (Base & Advanced) Analytics & Predictive Modeling Tableau BI 96 HOURS Practical Learning WEEKDAY & WEEKEND BATCHES CLASSROOM & LIVE ONLINE DexLab Certified BUSINESS ANALYTICS Training Module Gurgaon (Head Office) M. G. Road, Gurgaon , Delhi NCR / DexLab Solutions Corporation hello@dexlabanalytics.com

2 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 Conditional Statements 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

3 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

4 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

5 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

6 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

7 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

8 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

9 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

10 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

11 Fees structure* Rs30000 for ontime payment Rs33000 for Installments *plus Service Tax as applicable