Analytic 360

Our Raison d'être

Identify major choice decision points Leverage Analytical Tools and Techniques to solve problems hindering these decision points Empowerment through Intelligence

Education Capability Building

Redwood Associates

Our Suite of Services

ATI has empowered over 13,000

individuals and 120 Corporates

with better decision making

skills.

In house expertise with leading statistical software

ATI is the first and leading Analytics Training Organization in India

Industry Stalwarts with a combined experience of over 30 years

World class trainers who have imparted analytics capability and reporting capability

Our Education Credentials

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

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…

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.

Our Training Solutions

Analytics Techniques Statistical tools

Dash boarding and Reporting

Sector Independent Techniques

Analytics 360 Offers

R- Open source

Analytical tool

Analytics

Structured Query

Language

Microsoft Excel

Plus

Lifetime Access to our

Pre – Recorded Video

sessions for reference

8 Guest Lectures on

Trending Topics

R/Rattle

Course Duration in hours = 16 hours Course in days = 2 day

• 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

Module 1:

Basic R tool programming

Program schedule

• 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

Module 2:

Advanced Applications of R

Program schedule

• In Class Project

• Students do independent research

• Build your first sentiment analysis algorithm

• Combine solutions of students t showcase a final project

Module 3:

Hand on

Program schedule

Excel- Basic and Advanced

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

Basic Excel- GUI

• Overview

• Home Tab

• Conditional Formatting

• Paste special

• Go to special

Module 1: Introduction to Excel

• Overview

• Simple sort and filter

• Advanced Sort and Filter

• What if Analysis

• Data Validation

• Consolidate

Module 2: Data Tab

Basic Excel- GUI

• 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 3: Functions

• Overview

• Create charts

• Use Dynamic charts

• Connecting to Form Controls

• Simple Pivot Tables

• Functions in Pivot Tables

• Integrating Charts with Tables

Module 4: Dynamic charts & Pivot Tables

Advanced Excel with 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 1: Introduction to VBA

• 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

Module 2: Introduction to Macros

• Recording a Macro

• Limitation of recording a macro, overcoming this limitation

• Editing recorded codes

• Using short cut keys

Module 3: Recording / Editing Macros

• Introduction to Loops

• Types of Loops : For/While/Do

• Requirement and applicability of loops

• Manipulating loops

Module 4: Loops

• Using predefined functions

• Creating customized functions

• Using the customized functions

Module 5 : Predefined functions

Advanced Excel with VBA

• Predefined events

• Creating Customised Events

• Simple message box

• Customised message box

• Interactive message box

Module 6: Events and Message Boxes

• Write or record a global macro

• Utilizing the customised functions in all the workbooks

Module 8 : Global Macros

Advanced Excel with VBA

Analytics

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

• Overview

• Need for analytics

• Analytics use in different industries

• Challenges in adoption of analytics

Module 1: Introduction to Analytics

• Overview

• Understanding different outputs

• Tabular & Graphical Method

• Summary statistics

Module 2: Descriptive Statistics

• Hypothesis Testing

• Z‐Test, T‐Test, Chi‐Square test, ANOVA

• Parametric & Non‐Parametric test

Module 3: Statistical Testing

Analytics

• Overview

• How to do regression

• Types of regression – logistic and linear

• Case Studies

Module 4: Regression & Correlation

• Overview

• Concepts of Segmentation

• Usage of Segmentation

• Cluster Analysis

• Factor Analysis

Module 5: Modeling Techniques

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 1: Text Analytics

• Time series decomposition

• Common techniques like moving averages, smoothing etc.

• ARIMA

• In class project to automate forecasting

Module 2: Automation in time Series

Advanced Analytics

• What is machine learning?

• Tree based learning

• Common learners: KNN, random forests, GBM etc

• In class project

Module 3:Machine Learning

• Landscape of visualization

• Thinking visually

• How to choose appropriate visuals

• Story boarding

• In class project

Module 4:Data Visualization

Advanced Analytics

SQL

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

• 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 1: introduction to SQL

• 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

Module 2: Basic Relational Database Management Concepts

SQL

• 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 3: Introduction to the concept of Tables

• 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

Module 4: Database Functions

SQL

• 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

Module 5: Introduction to Access Functionalities

SQL

• 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

Module 6: Advanced Access Functionalities

SQL

• 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

Module 6: Advanced Access Functionalities(contd.)

SQL

Guest Lectures

Course Duration in hours = 16 hours Course Duration in days = 8 days

• Web Analytics

• Time Management

• Entrepreneurship

• Automation

• Interpersonal Skills for analysts

• Thinking analytically

• Sales and Market Analysis

• Learn From Failures

Guest Lectures on Trending Topics

Program schedule