Our Raison d'être. Identify major choice decision points. Leverage Analytical Tools and Techniques to solve problems hindering these decision points

Transcription

1 Analytic 360

2 Our Raison d'être Identify major choice decision points Leverage Analytical Tools and Techniques to solve problems hindering these decision points Empowerment through Intelligence

3 Our Suite of Services Education Capability Building Redwood Associates

4 Our Education Credentials ATI is the first and leading Analytics Training Organization in India Industry Stalwarts with a combined experience of over 30 years In house expertise with leading statistical software ATI has empowered over 13,000 individuals and 120 Corporates with better decision making skills. World class trainers who have imparted analytics capability and reporting capability

5 Our Channels Of Empowerment Classroom Training From one of our fully equipped labs at Bangalore, Delhi & Hyderabad Corporate Training Customized courses for your workforce at your premises Online Training From any part of the world in the convenience of your home/ office Analytics Discussion Forum Expert insights in a collegial atmosphere

6 Classroom Training World class fleet of trainers with experience in solving business problems with analytics Three fully equipped Training Labs in Bangalore Comprehensive Training Packages for Beginners and Advanced Practitioners Extensive Case Studies and Practice Sessions Have conducted over 80,000 hours of training to date and counting

7 Corporate Training Training conducted on client s premises Courses can be customized as per the client s requirements Extensive Case Studies and Practice Sessions Expert Trainers who have conducted trainings at over 120 leading organizations Some of our prominent and long serving clients include Infosys, Genpact, Accenture, HP, Capital One, ITC, PWC, UB Group, 24/7, Monnet Group, Citibank, Airtel etc.

8 Our Training Solutions Analytics Techniques Statistical tools Dash boarding and Reporting Sector Independent Techniques

9 Analytics 360 Offers R- Open source Analytical tool Analytics Plus Lifetime Access to our Pre Recorded Video sessions for reference Structured Query Language Microsoft Excel 8 Guest Lectures on Trending Topics

10 R/Rattle Course Duration in hours = 16 hours Course in days = 2 day

11 Program schedule Module 1: Basic R tool programming R environment and Windows system R Objects, Data permanency and removing objects R Help and search with Functions R commands and Case sensitivity Data Import and Export Packages R Studio Installation Simple Manipulations : Numbers and Vectors Writing your own functions

12 Program schedule Module 2: Advanced Applications of R Data Manipulation: merging, sorting, filtering, de-duping User defined functions Visualizations: histogram, bar plot, box plot, mosaic plots, geographic plots, etc TM package Word cloud Package

13 Program schedule Module 3: Hand on In Class Project Students do independent research Build your first sentiment analysis algorithm Combine solutions of students t showcase a final project

14 Excel- Basic and Advanced Course Duration in hours = 32 hours Course in days = 4 days

15 Basic Excel- GUI Module 1: Introduction to Excel Overview Home Tab Conditional Formatting Paste special Go to special Module 2: Data Tab Overview Simple sort and filter Advanced Sort and Filter What if Analysis Data Validation Consolidate

16 Basic Excel- GUI Module 3: Functions Overview Text Functions like CONCATENATE, TRIM, SEARCH, SUBSTITUTE Logical Functions like IF, AND, OR Lookup Functions like VLOOKUP, HLOOKUP, REFERENCE, INDEX,MATCH Advanced Functions like DCOUNT, DSUM Module 4: Dynamic charts & Pivot Tables Overview Create charts Use Dynamic charts Connecting to Form Controls Simple Pivot Tables Functions in Pivot Tables Integrating Charts with Tables

17 Advanced Excel with VBA Module 1: Introduction to VBA Introduction to programming language Introduction to object oriented programming Properties/ methods/ Events involved with an object Hierarchy: Objects/ Functions/ Methods Connections between Objects/ Functions/ Methods Module 2: Introduction to Macros Data sets Overview Writing a simple code Making the code dynamic Standard format of writing a Macro Logical conditions in a Macro Writing a conditional statement

18 Advanced Excel with VBA Module 3: Recording / Editing Macros Recording a Macro Limitation of recording a macro, overcoming this limitation Editing recorded codes Using short cut keys Module 4: Loops Introduction to Loops Types of Loops : For/While/Do Requirement and applicability of loops Manipulating loops Module 5 : Predefined functions Using predefined functions Creating customized functions Using the customized functions

19 Advanced Excel with VBA Module 6: Events and Message Boxes Predefined events Creating Customised Events Simple message box Customised message box Interactive message box Module 8 : Global Macros Write or record a global macro Utilizing the customised functions in all the workbooks

20 Analytics Course Duration in hours = 64 hours Course Duration in days = 8 days

21 Analytics Module 1: Introduction to Analytics Overview Need for analytics Analytics use in different industries Challenges in adoption of analytics Module 2: Descriptive Statistics Overview Understanding different outputs Tabular & Graphical Method Summary statistics Module 3: Statistical Testing Hypothesis Testing Z Test, T Test, Chi Square test, ANOVA Parametric & Non Parametric test

22 Analytics Module 4: Regression & Correlation Overview How to do regression Types of regression logistic and linear Case Studies Module 5: Modeling Techniques Overview Concepts of Segmentation Usage of Segmentation Cluster Analysis Factor Analysis

23 Advanced Analytics Module 1: Text Analytics Problems with unstructured data Terminology in text analytics: Corpus, TDM, parsing, stemming, stopwords, chunking, etc. Classification and tagging In class project: document classifier and sentiment analysis Module 2: Automation in time Series Time series decomposition Common techniques like moving averages, smoothing etc. ARIMA In class project to automate forecasting

24 Advanced Analytics Module 3:Machine Learning What is machine learning? Tree based learning Common learners: KNN, random forests, GBM etc In class project Module 4:Data Visualization Landscape of visualization Thinking visually How to choose appropriate visuals Story boarding In class project

25 SQL Course Duration in hours = 32 hours Course Duration in days = 4 days

26 SQL Module 1: introduction to SQL Overview What is SQL Why and where is SQL used Why should one learn SQL Database fundamentals What is a database How to connect two databases What are the different features in a database (for example, primary key, foreign key and candidate key) Module 2: Basic Relational Database Management Concepts How to access one table from the other What are the different relationships possible between two tables How to use SQL commands in Access Normalization 1NF, 2NF..BCN Model a normalized database

27 SQL Module 3: Introduction to the concept of Tables Overview How to create a table How to check the tables for consistency Functions How /Where/Why use the SELECT function How/Where/Why use the INSERT / UPDATE / DELETE function Module 4: Database Functions How/Where/Why use GROUP BY option How/Where/Why use COUNT option How/Where/Why use WHERE option Mathematical Functions: AVG, SUM, MIN, MAX, FIRST, LAST Scalar Functions: UCASE, LCASE, MID, LEN, NOW, ROUND, FORMAT Primary Key Constraint ALTER In Class project using Functions

28 SQL Module 5: Introduction to Access Functionalities Overview Where is Access Used Database How to navigate through database How to design a database How to introduce relationships between tables Possible Errors due to relationship definition Forms Overview How to create a form How to call the form from a database Options available in form How to create split forms How to add multiple items in a form

29 SQL Module 6: Advanced Access Functionalities Variables What are the different variables available in Access How to create reports using different variables Variable error checking options Pivot Charts Import Excel data in Pivot Chart Create Pivot Chart in Access Import Data How to import data from excel Import data from ODBC Reports Overview How to create dynamic report

30 SQL Module 6: Advanced Access Functionalities(contd.) Macros How to run macros in Access Object Dependencies How to link tables using object dependencies Database Documenter How to use database documenter Different errors possible in database documenter Linking with other ODBCs Overview How to link Access with other ODBCs Module Different kinds of modules Error Handling in Access

31 Guest Lectures Course Duration in hours = 16 hours Course Duration in days = 8 days

32 Program schedule Guest Lectures on Trending Topics Web Analytics Time Management Entrepreneurship Automation Interpersonal Skills for analysts Thinking analytically Sales and Market Analysis Learn From Failures