Courses We Offer

A1 – Beginners

A2 – Fundamentals

B1 – Intermediate

B2 – Upper-Intermediate

C1 – Advanced

C2 – Proficiency

A1 – Beginners :

1. Oral Communication

2. Written Communication

1. Oral Communication :

UNIT-I :

Communication : Meaning, Nature, Importance and Purpose of Communication, Types of Communication, Process of Communication, Communication Network in an Organisation, Strategy for Effective Communication, Verbal and Non-Verbal Communication, Barriers to Communication, Essentials of Good Communication, Communication Techniques.

 UNIT-II :

The Process of Listening, Barriers to Listening, Types of Listening, Benefits of Effective Listening.

 UNIT-III :

 Spoken English in India, The Organs of Speech, Description and Articulation of English Speech Sounds, Syllables and Stress (Weak Forms, Intonation), Connected Speech, Spelling and Pronunciation, International Phonetic Alphabet Transcription of Received Pronunciation of Words as per the Oxford Advanced Learners Dictionary of H.S. Hornby.

 UNIT-IV:

Presentation Skills, Interviews, Public Speaking, Preparing the Speech, Organising the Speech, Special Occasion Speeches.

2. Written Communication

UNIT-I :

Reading Skills: Purpose, Process, Methodologies, and Strategy.

UNIT-II :

Effective Writing Skills: Elements of Effective Writing, Main Forms of Written Communication: Agenda, Minutes, Notices, Writing of CV, Memo, Drafting an E-mail, Press Release. Correspondence: Personal, Official and Business, Report Writing.

UNIT-III : 

Idioms and Phrases, Words Often Confused, One Word Substitutes, Word Formation: Prefixes, Bases and Suffixes (Derivational & Inflectional). Word Choice: Right Words, Appropriate Words.

UNIT-IV:

Remedial Grammar and Usage, Important Aspects of English Grammar and Usage, Phrases and Clauses.

1.             Communication Skills :

Ø  Basic concepts - process, types, essentials

Ø  Oral Communication - Expressions, tone, situations.

Ø  Written Communication - Language, Grammar, Style, Contents,  Letters, Reports, Memos.

Ø  Non Verbal - Appearance, Posture, Movement, Space

Ø  Public speaking - overcoming stage fright, drafting the talk, delivering the talk

2.             Self Awareness :

Ø  SWOT Analysis

Ø  Johari Window

Ø  Appreciating your self

Ø  Confidence building

3.             Time Management :

Ø  Basics of Time Management

Ø  Handling Paperwork

Ø  Overcoming Procrastination

Ø  Effective Delegation

4.             Managerial Effectiveness :

Ø  Managing Self

Ø  Managing Work

Ø  Managing People

5.             Personality Development :

Ø  Communication skills

Ø  Time Management

Ø  Interview skills

Ø  Self awareness and Confidence Building

Ø  Thinking and creativity

Ø  Leadership and growth

Ø  Motivational talks on –

F   You cannot spell Success without U

F   Responsibility - I take charge !

F   Stop Existing  Start Living !

6.             Selling  Your Way to Success :

Ø  Selling skills

Ø  Buyers  Psychology

Ø  Buying Blocks 

Ø  Objection Handling

Ø  Selling  Success

7.             Team Building :

Ø  Stages in Team development

Ø  Problems faced by teams

Ø  Building blocks for teams

Ø  Ground rules for team development

Ø  Conflict vs collaboration

Ø  Understanding team goals

Ø  Understanding team roles

8.             Creativity :

Ø  What is Creativity

Ø  Nurturing Creativity

Ø  Blocks to Creative thinking

Ø  Attributes of Creative Individuals

Ø  Aids to structured Creativity

Ø  Stimulating Creativity

9.         Social skills :

Ø  Projecting the right image

Ø  Manners & Etiquettes

Ø  Confidence building

Ø  Poise, Charm and Tact

Ø  Technology and social skill up gradation

Ø  Impacting your environment positively

Statistical Analysis

1. Data types and its measures
2. Random Variables, its applications with exercises
3. Probability – Applications with examples
4. Probability distribution with examples
   
5. Sampling Funnel – why and howMeasures of central tendency
6. Mean, Median, Mode Measures of dispersion
7. Variance, Standard Deviation, Range – Its derivation
8. Measures of Skewness & Kurtosis – Graphical representation and application
9. Various graphical representation of data for analysis
10. Bar Chart Histogram Box Plot Scatter Plot Continuous Probability distribution
11. Standard Normal distribution / Z distribution F – distribution
12. Students T distributionChi Square distribution
13. Discrete probability distribution,Binomial distribution
14. Negative Binomial distribution Poisson distribution Computing probability from
15. NormalDistributionBuilding Normal Q-Q plots & its interpretation
16. Central Limit Theorem for sampling variations Confidence interval – Computation and analysis

Hypothesis Testing -What and How

1. Formulating a hypothesis statement
2. Parametric tests1 sample, 2 sample t test1 sample Z test
3. 1 Proportion, 2 Proportion testPaired t test
4. One way ANOVAChi – Square test Nonparametric Tests
5. 1 sample Sign test Mann – Whitney test
6. Kruskal – Wallis Test
7. Mood’s Median test

Regression Analysis

1. Measure of correlation coefficient and it analysis
2. Regression model using “Ordinary Least Squares”
3. Coefficient of determination as a strength of a model
4. Prediction interval and Confidence intervalPrerequisites to Regression
5. Linearity Independent Normally distribute
6. Equal variance Regression techniques
7. Linear RegressionSimple MultipleLogistic Regression
8. SimpleMultipleModel building using regression
9. Measures of accuracy Model improvement techniques
10. Analysis of regression output with case studies Imputation Techniques
11. Listwise, Pairwise Deletion Mean/Mode Substitution
12. Regression Imputation Hot Deck, KNN Imputation

Data Mining / Machine Learning Supervised vs Unsupervised

1. Basic Matrix Algebra Data Mining Unsupervised
2. Clustering – its applications and limitation
3. Hierarchal
4. Non Hieratical (K-Means)
5. Affinity Analysis / Association Rules
6. Measures of association
7. Support, Confidence, Lift Ratio
8. Sequential pattern mining
9. Recommender Systems
10. Methods and tricks of the trade
11. Dimension Reduction Techniques
12. Principle Component Analysis
13. Singular Value Decomposition

Data Mining – Supervised

1. Supervised vs Unsupervised
2. Black Box demystified
3. Neural Networks
4. Support Vector Machines
5. Classification / Pattern mining
6. K Nearest Neighbor Naive Bayes
7. Decision Tree & Random Forest Decision Tree C 5.0
8. Text Mining & Natural Language ProcessingText extraction from webpage
9. Word clouds – analysis with contextNegative and positive words
10. NLPLatent Dirichlet Allocation (LDA)Structured Extraction
11. Emotion Mining Forecasting Strategy for Forecasting
12. Analysis by Graphical Representation Components in a time series data
13. Plots of Time series dataAutocorrelation function / Correlogram
14. Visualizations – How to perform Methods of ForecastNaïve methods
15. Simple and Moving Average Model driven Regression Model – Linear,
16. Exponential, Quadratic Econometric models Seasonality factored model
17. Autoregressive model Random Walk Data Driven Smoothing
18. Exponential Smoothing Advanced Exponential Smoothing
19. Holt’s Method Winter Method AR, MA, ARIMA models
20. Analysis of errors in forecast Skewness of Error
21. Types of error measure Mean Error (ME) Mean Absolute Deviation (MAD)
22. Mean Squared Error (MSE) Root Mean Squared Error (RMSE)
23. Mean Percentage Error (MPE) Mean Absolute Percentage Error (MAPE)

Data Visualization

1. 3 important principles of Visualization
2. Lie Factor Using consistent scales
3. Presenting data in the context Data-ink ratio
4. Tufte’s Graphical Integrity Rules
5. Tufte’s Principles for Analytical Design
6. Various chart junks & how to avoid chart junks Dashboards –Good, Bad & Ugly Affordance Theory

Tableau

1. Introduction to the various file types
2. How to access help
3. Quick introduction to the user interface in Tableau
4. How to connect to the data sources
5. How to join the various data sources
6. How to create data visualization using Tableau feature “Show Me”
7. Reorder & remove visualization fields
8. How to sort & filter data
9. How to create a calculated field
10. How to perform operations using cross-tab
11. Working with workbook data & worksheets
12. How to create a packaged workbook
13. Creating various charts
14. Creating maps & setting map options
15. Creating dashboards & working with Dashboard
    

R & R Studio

1. Introduction to R
2. Working with Packages
3. Performing various regression and data mining
4. techniques using R Studio
5. NodeXL Introduction to NodeXL and
6. its application in Network Analysis
7. XLMinerUsing XLMiner for performing various
8. forecasting techniques
9. Python Performing various regression and data mining
10. Techniques using Python
11. MinitabPerforming Hypothesis testing using Minitab

Artificial Intelligence

1. Introduction What is Vision Applications of Image & VideAnalytics
2. Challenges in the Space of Image & VideAnalytics Image Filtering Image
3. Representation as a Matrix & a Function Image Transformations & Operations
4. Point Operations Reversing Contrast Point Operations Contrast Stretching
5. Histogram Equalization Average Local Operations Average for Noise Reduction
6. Moving Average – Uniform & Non-Uniform Weights 2D Moving Average Linear
7. Filtering Cross-Correlation Average Filtering Gaussian Filter Convolution Boundary
8. Effects Sharpening Filters Separable Filters Cross-correlation for Template Matching
9. Edge Detection Origin of edges Derivatives & Edges Derivatives with Convolution
10. Partial Derivative of an Image Sobel Edge Detection Filter Finite Difference Filters
11. Image Gradient Effects of Noise Convolution – Differentiation Property Derivative of
12. Gaussian filters 1D & 2D Gaussian Second Derivative Laplacian Filter Smoothening
13. with Gaussian Laplacian of Gaussian ( LoG) LoG filter Reducing noise using
14. Gaussian Filter Non-Linear Filters Bilateral Filters Optimal Edge Detection Canny
15. Edge Detector Non-Maximum Suppression Hysteresis Thresholding Frequency
16. Domain Fourier Transform Magnitude vs Phase Rotation & Edge effects Fourier
17. Filtering High Pass Filtering Low-pass Filtering Band-pass Filtering Filtering in
18. Frequency domain Fourier Amplitude & Phase Spectrum

Image sub-sampling 

1. Image Aliasing & Wagon Wheel Effect 
2. Shannon’s Sampling Theorem 
3. Downsampling Gaussian Pre-Filtering 
4. Image Pyramid Gaussian Pyramid 
5. Image Upsampling Image Interpolation 
6. Nearest Neighbour Interpolation 
7. Linear & Bilinear Interpolation 
8. Reconstruction Filters
9. Cubic & Cubic Spline Interpolation 
10. Interpolation Filters 
11. Interpolation & Decimation Image Rotation 
12. Multiresolution Representations 
13. Laplacian Pyramid & Image Blending

Window-based Models for Category Recognition

1. Interpolation & Decimation Image Rotation 
   
2. Multiresolution Representations 
3. Laplacian Pyramid & Image Blending
4. General Recognition Framework  Window-based models 
5. Part-based models  Window-based model 
6. Generating & Scoring Candidates  Sliding Windows
7. Methods  Global Representation  Representation Texture – Material, Orientation,
8. Scale  Filter Banks  Gabor Transform, Gabor Basics  Classifier: Nearest Neighbour for
9. Scene Gist Detection  Classifier: SVM for person detection  Classifier: Boosting for
10. Face Detection – Viola-Jones Face Detector – Adaboost  Neural Network  Artificial
11. Neural Networks (ANN)  Artificial Neuron  Integration Function  Activation Function
12. 
    

Convolution Neural Network (CNN) 

1. Convolution Neural Network – CNN  ImageNet Classification Challenge 
2. Hierarchical Approach  Local Connectivity 
3. Parameter Sharing  Normalization Layer 
4. Last Layer Customization  Loss Functions 
5. Transfer Learning  Convolution of an image
6. with a filter  Convolution Layer – Basic ConvNet  ReLU
7. (Rectified Linear Units) Layer 
8. Stride  Pad  Pooling Layer  Fully Connected Layer 
9. Weight Initialization – Xavier’s initialization 
10. Semantic Segmentation 
11. Fully Convolutional Networks  Classification
12. + Localization  Object Detection 
13. CNNs  Regional CNN  Fast RCNN  Siamese Networks

Recurrent Neural Networks (RNN) 

1. Recurrent Neural Networks for NLP  Traditional Language
2. Models  Original Neural Language Model using MLPs  Recurrent Neural Networks  Back propagation through time (BPTT) 
3. Recurrent Neural Networks loss computation 
4. Image Captioning  Bidirectional RNNs 
5. Deep Bidirectional RNNs  Memory based Models   
6. Long Short-Term Memory (LSTM) & Auto-encoders 
7. Long Short-Term Memory (LSTM)  RNN vs LSTM 
8. Deep RNNs vs Deep LSTMs  LSTM detailed description 
9. Auto-encoders  Encoder part of auto-encoder 
10. Decoder part of auto-encoder Denoising Autoencoders
11. (dA)  Stacking auto-encoders  MxNet,
12. TensorFlow, Keras libraries to solve the use cases

Data Vizualization 

1. What is Data Vizualization? 
2. Why Visualization came into Picture? 
3. Importance of Visualizing  Data
4. Poor Visualizations Vs. Perfect Visualizations 
5. Principles of Visualizations 
6. Tufte’s Graphical Integrity Rule 
7. Tufte’s Principles for Analytical Design
8. Visual  Rhetoric  Goal of Data Visualization

Tableau – Data Visualization

1. Tool  Introduction to Tableau  What is Tableau? 
2. Various Products of Tableau 
3. Tableau Architecture 
4. Top Chart types in Tableau Data  Interpretation 
5. Pivot Tables  Split Tables  Responsive
6. Tool Tips  Radial & Lasso Selection  Right Click Filtering

Creating Calculated Fields 

1. Logical Functions 
2. Case-If Function 
3. ZN Function  Else-If Function 
4. Ad-Hoc Calculations  Manipulating
5. Text-Left & Right Functions 
6. Time Series Charts  Time Series Hands-On 
7. Bullet Graphs  What are Bullet Graphs? 
8. Bullet Graphs Hands-On  Scatter Plot  What is Scatter Diagram? 
9. Introduction to Correlation Analysis  Introduction to Regression Analysis  Scatter
10. Diagram Hands-On  Pre-Defined Analytics 

What are Histograms? 

1. Bin Sizes inTableau  Histogram
2. Hands-On  What is Box Plot? 
3. Why to use Box Plot?  Box Plot Hands-On 
4. Pareto Charts  What are Pareto Charts? 
5. Pareto Charts Hands-On  Maps in Tableau 
6. Types of Maps in Tableau  Maps Hands-On  Polygon Maps 
7. Actions Between Worksheets 
8. Dashboards Hands-On in Tableau  Bullet Points in
9. Dashboards  Story Hands-On in
10. Tableau  Animated Visualization Hands-On 
11. Connecting with WMS Server 
12. Adding Background Image  Creating Workbook Data Extract 
13. Tools for Sharing Information  Publishing our
14. Workbooks in Tableau Server  Connecting
15. Tableau with Tableau Server  Connecting
16. Tableau with R  What is R?  
17. Tableau integrating with R? 
18. How to integrate Tableau with R? 
19. Connecting with Cloudera Hadoop 
20. Connecting to Web Data Connector 
21. Publishing reports & visualization to tableau online  2 Live Projects

Basics of Qlikview 

1. What is Qlikview? Why Qlikview?
2. Who can use Qlikview?
3. Thinking through a BI solution build  Structured
4. approach for first dashboard build in a Visualisation tool 
5. Understanding Qlikview Desktop,
6. Publisher, Server, QlikSense  Quick Tour of Qlikview tool
7. : Scripting, Front End Canvas,
8. Automation  Basic Elements of the
9. QV User Interface -Tool Bars(Standard, Menu, Design tool bars) 
10. Demo: State of the art BI Dashboard in Qlikview  List Boxes,
11. Pivot Charts, Straight Tables, Table Box,
12. Pie Chart, writing expressions, Associative Search

Qlikview Scripting 

1. Necessity of Scripting 
2. Connecting to Data Source: Select and Load 
3. Connecting to Data Base(thru OLEDB), Excel File,
4. QVDs, Qlikview Application(Binary Load) etc; 
5. Understanding Preceding Load  What if Analysis:
6. Input Filed, Input Sum  Variables declaration
7. with LET, SET  Dollar Sign Expansion (DSE) of Variables

Data Modelling in Qlikview 

1. Loading Multiple files to QV, Table Viewer  Table
2. Joins: Join, Left, Right, Inner Joins  Keep:
3. Left, Right, Inner  Concatenate Tables (Implicit, Explicit Concatenation),
4. Prevent Implicit Concatenation  Start Schema,
5. Snow Flake Schema  Expression Viewer,
6. Variable Editor, Log File Creation  Button Object,
7. Reload Time function 
8. Importance of System Fields

qlikviewData Modelling Optimization 

1. Challenges of Data Modelling: Synthetic Key,
2. Circular References, Loosely Coupled Tables Solution:
3. Rename Fields, Auto number, Qualify (UnQualify),
4. Concatenate, Composite Key  Linked Tables  Dashboard
5. Real Estate space Optimization Techniques 
6. Multi Box  Container: Different Types

Data Load Types 

1. Cross Tables  Mapping Load and Mapping Tables 
2. Reading and Writing QVD files, csv
3. Files in the script  Advantages of QVDs 
4. creation of QVDs from Chart  Buffer Load,
5. Incremental Load, Resident Load  Binary Load in detail  Partial Reload
6. (Add, Replace)  Combo Chart, Trellis

Transformations 

1. Table Transformation 
2. Generic Load 
3. Cross Tables 
4. Hierarchy 
5. Create Theme File 
6. Book Marks 

Advanced Charts 

1. Qlikview Functions 
2. Radar Chart 
3. Scatter Chart Grid Chart 
4. Fast Change of Charts Cyclic Chart 
5. Drill Down Chart 
6. Set Analysis Expressions 

Set Analysis 

1. Set Identifier, Operator, Modifier 
2. Indirect Set Analysis: P(), E() 
3. Mekko Chart Tips and Tricks

How to Write programs

1. Creativity and motivation Computer hardware architecture 
2. Understanding programming  Words and sentences 
3. Conversing with Python  Terminology
4. interpreter and compiler  Writing a program
5. What is a program 2nd level 
6. The building blocks of programs
7. What could possibly go wrong?
8. The learning journey  Exercises

Variables, expressions and statements

1. Values and types  Variables  Variable names and keywords  Statements .
2. Operators and operands  Expressions  Order of operations 
3. Modulus operator  String operations 
4. Asking the user for input  Comments  Choosing
5. mnemonic variable names  Debugging  Exercises
   

Conditional execution: 

1. Boolean expressions 
2. Logical operators 
3. Conditional execution 
4. Alternative execution 
5. Chained conditionals 
6. Nested conditionals 
7. Catching exceptions using try and except 
8. Short circuit evaluation of logical expressions 
9. Debugging  Exercises

Functions: 

1. Function calls  Built-in functions 
2. Type conversion functions  Random numbers 
3. Math functions  Adding new functions 
4. Definitions and uses  Flow of execution 
5. Parameters and arguments  Fruitful functions void functions 
6. Why functions? 
7. Debugging  Exercises 

Iteration: 

1. Updating variables 
2. The while statement Infinite loops  “Infinite loops” and break 
3. Finishing iterations with continue  Definite
4. loops using for  Loop patterns 
5. Debugging  Exercises 

Strings: 

1. A string is a sequence  Getting the length of a string using len 
2. Traversal through a string with a loop 
3. String slices  Looping and counting 
4. The in operator  String comparison  
5. String methods  Parsing strings  Format operator 
6. Debugging  Exercises 

Files: 

1. Persistence  Opening files  Text files and lines 
2. Reading files  Searching through a file 
3. Letting the user choose the file name 
4. Using try  Except and open 
5. Writing files 
6. Debugging  Exercises 

Lists: 

1. A list is a sequence  List operations  List slices 
2. List methods  Deleting elements 
3. Lists and functions 
4. Lists and strings 
5. List arguments 
6. Debugging  Exercises 

Dictionaries: 

1. Dictionary as a set of counters  Dictionaries and files 
2. Looping and dictionaries 
3. Advanced text parsing 
4. Debugging  Exercises 

Tuples: 

1. Comparing tuples  Tuple assignment 
2. Tuple assignment  Multiple assignment with dictionaries 
3. The most common words  Sequences:
4. strings, lists, and
5. Debugging  Exercises 

Regular Expressions: 

1. Character matching in regular expressions 
2. Extracting data using regular expressions 
3. Combining searching and extracting  Escape character 
4. Bonus section for UNIX users 
5. Debugging  Exercises 

Using databases and Structured Query Language (SQL): 

1. What is a database? 
2. Database concepts  SQLite manager Firefox add-on 
3. Creating a database table  Structured Query Language (SQL)
4. summary  Basic data modelling  Debugging 

Graphical User Interface(GUI) 

1. Graphical user interface with Tkinter library 
2. Adding buttons  Text-boxes  Dropdown-boxes etc. 
3. Populating the data with database items

    Excel-Macros Introduction 

1. Software Development Life Cycle 
2. VB(Visual Basic) v/s VBA(Visual Basic for Application) 
3. Brief Computer Architecture 
4. Computer Program - Compiler, Interpreters 
5. Brief Introduction to MS Office 
6. Brief Introduction to MS Excel 
7. Brief Introduction to Data Base 
8. Writing Flow chart 
9. Computer Programs 
10. Programming Concepts - Logic - Syntax 

VBA 

1. Tour of VBE (Visual Basic Editor) 
2. Code Window, Project Window, Properties Window 
3. Introduction to Module, User forms and Class 
4. Writing First Program 
5. Recording Macro 
6. Absolute Recording; Relative Recording 
7. Constraints in Naming the Macro 
8. What are comment lines? and why is it required? 
9. Short cut keys 
10. Executing Recorded Macro, Editing the Macro,
11. Debugging the macro 
12. Macro Security 
13. Running Macros from Code Window, Excel etc; 
14. If..Else conditional Statement,
15. Nested ifs Select Cases 

Looping 

1. For Loop & For each loop - Do While Loop 
2. Cells, Active Cells, Range, Used Range,
3. Sheet, Worksheet, Workbook, Active Workbook, This Workbook, Applications 
4. Program Structure Input Box Msgbox 
5. File Dialogue Box ,What is Sub? Function? 
6. What is Function Definition? 
7. Difference between Procedure & Function? 
8. Procedure calling procedure, Procedure calling Function,
9. Function calling procedure, Function calling Function 
10. User Defined Excel Function 
11. Built-in VBA function. Ucase, Lcase, 
12. Immediate Window 
13. Variables? Importance of Variable? 
14. Different types of Variables 
15. Option Explicit, Option Base etc 
16. Public Variable, Private Variable, Local Variable, Global Variable 
17. Scope of Variable 
18. Public, Private functions 
19. Writing Programs in multiple Modules 
20. Constants. Arrays (Static, Dynamic, Redim, Preserve 
21. Workbook and Worksheet Events 
22. FileSystemObjects 
23. User Forms 
24. End To End Automation - Hands on Experience

Internet of Things (IoT)

Introduction 

Concepts and Technologies behind Internet of Things (IoT) 

Concepts & Definitions 
Myth with IoT 
Business with IoT 
Carrier in IoT 
IoT Applications 
IoT system overview 
Node, Gateway, Clouds 
Why IoT is essential 
Machine learning 
Artificial Intelligence 

IoT Architecture 

IoT Network Architecture 
IoT Device Architecture 
Client server Architecture 
Publish Subscribe architecture 

IoT Device Design 

Sensors - Classification & selection criteria based on nature, frequency and amplitude of signal 
Embedded Development Boards - Arduino, Raspberry Pi, Intel Galileo, ESP8266 

IoT Communication Protocols 

Wired Communication Protocols 
Wireless Communication Protocols 
Application Protocols - MQTT, CoAP, HTTP, AMQP 
Transport layer protocols - TCP vs UDP 
IP- IPv4 vs IPv6 

Cloud 

Concept & Architecture of Cloud 
Public cloud vs Private cloud 
Different Services in cloud (IAAS / PAAS / SAAS) 
Importance of cloud computing in IOT 
Leveraging different cloud platforms. 

Designing the IoT product 

Interfacing peripherals & Programming GPIOs - Input/output peripherals, Sensor modules 
Design Considerations - Cost, Performance & Power Consumption tradeoffs 

Languages 

Embedded C 
Python 

Hands on using Raspberry Pi board 

Setting up board 
Booting up raspberry pi 
Running python on Raspberry Pi, GPIO programming 
Interfacing sensors and LED (Input and output devices) 
Making few projects 
Sending data to cloud 2 using raspberry pi board 
Sending data to cloud 3 using raspberry pi board 
Making raspberry Pi web server 
Making raspberry PI TCP client and server 
Making raspberry Pi UDP client and server 

Closer 

Existing Product in Market 
Barrier in IoT 

Big Data - Hadoop

Introduction to Hadoop 

What is Big Data 
Need and significance of innovative technologies 
what is Hadoop 
3 Vs (Characteristics) 
History of Hadoop and its Uses 
Different Components of Hadoop 
Various Hadoop Distributions 

HDFS ( Hadoop Distributed File System) 

Significance of HDFS in Hadoop 
HDFS Features 
    a) NameNode 
    b) DataNode 
    c) JobTracker 
    d) TaskTrack 
    e) Secondary NameNode 


HDFS ( Hadoop Distributed File System) 

Data Storage in HDFS 
    a) Blocks 
    b) Heartbeats 
    c) Data Replication 
    d)HDFS Federation 
    e) High Availability 


HDFS ( Hadoop Distributed File System) 

Accessing HDFS 
    a) Blocks CLI (Command Line Interfac e) Unix and Hadoop Commands 
    b) Java Based Approach 
Data Flow 
    a) Anatomy of a File Read 
    b) Anatomy of a File Write 
Hadoop Archives 

MapReduce 

Introduction to MapReduce 
MapReduce Architecture 
MapReduce Programming Model 
MapReduce Algorithm and Phases 
Data Types 
Input Splits and Records 
Blocks Vs Splits 
Basic MapReduce Program 
    a) Blocks 
    b) Driver Code 
    c) Mapper Code 
    d) Reducer Code 
    e) Combiner and Shuffler 
Creating Input and Output formats in MapReduce Jobs 
    a) File Input / Output Format 
    b) Text Input / Output Format 
    c) Sequence File Input / Output Format,etc. 
How to Debug MapReduce Jobs in Local and Pseudo cluster mode 
The MapReduce Web UI 
Data Localization in MapReduce 
Distributed Cache 
Compression Mechanisms 
Joins 
    a) Map-Side Joins 
    b) Compression Mechanisms 

Pig 

Introduction to Apache Pig 
MapReduce Vs. Apache Pig 
SQL Vs. Apache Pig 
Different Data types in Apache Pig 
Modes of Execution in Apache Pig 
    a) Local Mode 
    b) Map Reduce or Distributed Mode 
Execution Mechanism 
    a) Grunt shell 
    b) Scripta 
    c) Embedded 
Data Processing Operators 
    a) Loading and Storing Data 
    b) Filtering Data 
    c) Grouping and Joining Data 
    d) Sorting Data 
    e) Combining and Splitting Data 
How to write a simple PIG Script 
UDFs in PIG 

Sqoop 

Introduction to Sqoop 
Sqoop Architecture and Internals 
MySQL client and server installation 
How to connect relational database using Sqoop 
Sqoop Commands 
    a) Different flavors of imports 
    b) Export 
    c) HIVE imports 

Hive 

The Metastore 
Comparison with Traditional Databases 
    a) Schema on Read Versus Schema on Write 
    b) Updates, Transactions, and Indexes 
HiveQL 
    a) Data Types 
    b) Operators and Functions 
Tables 
    a) Managed Tables and External Tables 
    b) Partitions and Buckets 
    c) Storage Formats 
    d) Importing Data 
    e) Altering Tables 
    f) Dropping Tables 
Querying Data 
    a) Sorting and Aggregating 
    b) MapReduce Scripts 
    c) Joins 
    d) Subqueries 
    e) Views 
User-Defined Functions 
    a) Writing a UDF 
    b) Writing a UDAF 

HBase 

Introduction to Hbase 
HBaseVs HDFS 
Use Cases 
Basics Concepts 
    a) Column families 
    b) Scans 
Hbase Architecture 
Zoo Keeper 
Clients 
    a) REST 
    b) Thrift 
    c) Java Based 
    d) Avro 
MapReduce integration 
MapReduce over Hbase 
Schema definition 
Basic CRUD Operations 

Machine Vision

Introduction to Machine Vision - Fundementals 

Workshop - Parts of a Machine Vision System, Applications 

Introduction Machine Vision - Applications 

Workshop - Application study of a machine vision requirement 

Beginning Optics - Fundementals I 

Lab: Fixed Focal Lens basics 

Beginning Optics - Fundementals II 

Lab: Image capture using fixed focal lengths 

Beginning Lighting for Machine Vision - Fundementals I 

Lab: Machine Vision Lighting I 

Beginning Lighting for Machine Vision - Fundementals I 

Lab: Machine Vision Lighting II 

Lab: Machine Vision Lighting II 

Camera Fundementals - Introduction to Cameras 

Lab: Working with Cameras I 

Image Processing Fundementals 

Lab: Sherlock Machine Vision Basics II 

Lab: Sherlock Machine Vision Basics II 

Lab: Putting it all together (Application Project) 

Lab: Putting it all together (Application Project) 

Search Engine Optimization

Introduction to SEO 
Introduction 
Understanding the website 
Business Analysis 
What is Search Engine Optimization? 
History of Search Engines 
mportance of SEO in Digital Marketing 
How SEO can help in In leveraging Business 
SERP Layout 
Different Types of Search Engines 
How Search Engines Work? 
Operators Used in SEO Algorithms and updates of Google 
Research and Analysis of Keywords 
What is a keyword? 
Types of keywords? 
Keyword Research Techniques 
Fitting keywords to the Project 
Keyword Research tools 
On Page Optimization 
What is on Page Optimization 
Types of websites 
Web layout Structure 
File Name Optimization 
Title Optimization 
Meta Description, Meta Robots 
Canonical URL 
Heading Optimization 
Bread Crumbs 
Content Optimization 
Anchor linking 
mage optimization 
Embedding video 
Footer Optimization 
Dynamic Site Optimization 
WordpressSEO 
Non WWW to www 
UrlRedirections 
Robots.tx 
Sitemap Submission 
Google Webmasters Tools 
How to submit a website to GWT 
Settings 
Geographic setting 
Sitelinks 
Content Keywords 
Sitemaps 
Google fetch 
Search Analytics 
Links to the sit 
Off page Optimization 
What is Off Page Optimization 
Difference between On page and Off Page 
Optimization 
mportance of Back links and Citations in SEO 
Link Building Techniques 
Directory Submission 
Classified posting 
Social Bookmarking 
Social media Optimization 
Social Media Marketing 
E-Mail Marketing 
Search Engine Marketing 
Image Submission 
Video Submission 
Document submission 
Press Release 
Setting Up blog 
SEO Reporting 
Diagnosis of SEO 
SEO Report Card creation 
Recovery of website in Search Engine 
Search Engine Marketing 
Creating Campaign 
Understanding purpose of Campaign 
Account Limits in Ad words 
Location and Language Settings 
Networks and Devices 
Bidding and Budget 
Schedule: Start date, end date, ad scheduling 
Ad delivery: Ad rotation, frequency capping 
Demographic bidding (Display Only) 
Social settings (Display Only) 
Automatic campaign optimization (Display Only) 
Purpose of Ad Groups 
Keyword Types (Broad, Phrase, Exact and Negative) 
Ad words Keyword Tool 
Text Ad Format 
Quality Score and Its Importance 
Understanding the Ad Group and Keywords Dash Board 
Automate Tool 
Search Terms + Single Keyword Auction 
Columns Customization 
Alerts Setting Filters 
AdwordsAccount Setup 
Adwords Account Setup 
Creating Adwords Account 
Adwords Interface Tour 
Adwords Dash Board 
Billing in Adwords 
Website Optimizer 
Conversion Tracking 
Dimensions Reports 
Google Analytics Tools 
Multi User Access 
User Access Levels 
My Client Centre (MCC) 
Change History Tool 
Adgroups and keywords 
Purpose of Ad Groups 
Keyword Types (Broad, Phrase, Exact and Negative) 
Ad words Keyword Tool Text Ad Format 
Quality Score and Its Importance 
Understanding the Ad Group & Keywords Dash Board 
Automate Tool 
Search Terms + Single Keyword Auction 
Columns Customization 
Alerts Setting Filters 
Ad formats And Ad guidelines 
Ad Types in Adwords 
Text Ads and Guidelines 
mage Ad Formats and Guidelines 
Display Ad Builder Ads and Guidelines 
Video Ads Format 
Ads Preview and Diagnosis 
Conversion Tracking 
Purpose of Conversions 
Create your Conversion Tracking Code 
Tracking the Conversions for Multiple Product 
Display Network Targeting 
Setting a Display Network Campaign 
Concept of CPM and Branding 
Automatic Placements 
Manual Placements 
Placement Tool 
Contextual Targeting Tool 
CPC Bidding and CPM Bidding 
Setting a Video Campaign 
Audience Tab 
Topics Tab 
Purpose of Conversions 
Create your Conversion Tracking Code 
Tracking the Conversions for Multiple Product 
Reports 
Conversion Tracking 
Dimensions Reports 
Google Analytics Tools 
Social Media Optimization and Marketing 
Social Media Optimization Introduction 
What is social media marketing? 
How is it important in business? 
How can social media be integrated with the website?' 
Case studies on various social media platforms 
Decoding brands 
Setting up a vision, mission & goals for social media optimization 
Facebook Marketing 
Importance of facebookin branding a product or service 
How can facebookleverage the business 
Facebook user profile creation 
Page creation 
Edge Rank Algorithm 
Group creation 
Advtcreation 
Event creation 
Facebook updates 
Facebook resources 
Facebook Like Box 
Facebook top brands case study 
Facebook API integration 
Facebook layout 
Facebook hidden buttons. 
Facebook tricks 
Facebook content creation strategy 
How to improve likes ,share and comments 
How to build brand on Facebook 
Facebook budget management 
Hash tags 
Facebook advertising 
Sponsored posts 
Sponsored stories 
Sponsored events 
Sponsored likes 
Custom Tabs Facebook Tools 
Social Media Tools 
Hootsuite 
Buffer App 
Twitter Marketing 
Importance of twitter in building brand & business 
Fan Engagement in twitter 
Creation of twitter profile 
Writing search engine content as bio for twitter 
Hash tags 
How to engage with users on twitter 
Case studies on twitter 
LinkedIn Marketing 
What is LinkedIn? 
How is LinkedIn important for business? 
Role of LinkedIn in getting brand promotion 
Role of LinkedIn human resource department 
Profile creation 
Company page creation 
Group creation 
User engagement 
YouTube Marketing 
Creation of user profile 
Creation of company profile 
ntegration of social buttons 
How to post videos 
How to give keywords for video to appear top in search results 
Video advertising 
Socialbook Marking 
What is socialbook marking? 
Role in search engine optimization? 
Others 
Slide share 
ScribdStumble upon 
Digg 
Delicious 
Pininterest 
nstagram 
E-Mail Marketing 
What is E Mail Marketing? 
How is E-Mail Marketing Important in Digital Marketing? 
Why E-Mail Marketing? 
Types of News Letters 
What to write? 
How to write ? 
E-Mail Scheduling? 
List Creation 
OPT in List 
Double Opt in List 
E-Mail Template Design Parameters 
Types of Campaigns 
How to ensure that email is delivered to inbox 
Spam Words not to be used in Mail template 
E-Mail Reporting Metrics 
Open rate Calculation 
Click Rate 
Unique opens 
Unique Click 
Hard bounce 
Soft Bounce 
A/B Testing 
Affiliate Marketing 
What is Affiliate Marketing 
How is it important In digital Marketing? 
How to increase ROI Of business Using Affiliate Marketing 
How Affiliate Marketing Works 
Components Present in Affiliate Network 
Costing Techniques 
Attribution Models 
How to identify Publishers 
How to recruit Publishers 
How to retain Publishers 
What type of products are to be assigned to Publishers 
How to identify merchants 
Affiliate Marketing tools 
How Affiliate Marketing Websites 
Online Reputation Management 
What is Online Reputation Management? 
Understanding the Customer sentiments 
How to deal with negative Reviews 
How to Engage With Customers 
Tools Used in ORM 
ORM Case Studies 
Web Analytics 
Introduction to Web Analytics 
How to Link Website to Google Analytics Account 
Understanding Metrics 
User 
Session 
Visit 
Page views 
Unique Page views 
Goals 
Unique Sessions 
Audience 
Active users 
Cohort Analysis 
Demographics 
GEO 
nterests 
Behaviour 
Technology 
Mobile 
Benchmark 
Users Flow 
Acquisition 
Tree maps 
Channels 
SEO 
Adwords 
Social Media 
Campaigns 
Behaviour 
Behaviourflow 
Sitespeed 
Site search 
Site Content 
User Management 
Adding users to the account 
Goal Tracking 
Goal Tracking Setup 
Online Money Making Practices 
Blogging Practices 
Domain Purchase 
Hosting Purchase 
Setting up Blog 
WordpressBlog set up 
Affiliate Marketing Practices 
Setting up AdsenseAccount 
How to get AdsenseApproval 
How to start Video Channel in youtube 
How to earn through Youtube 
How to partner with Merchant 
Blogging Tricks 
Idea Generations 
Digital Marketing Setup Strategy 
Project Report 
Setting up strategy for a project 
Swotanalysis 
Analysis of KPI’s

1.        Interviewing to Elicit Core Competencies : 

[ How you should prepare for a job interview, find out about companies, overcome nerves, decide which clothes to wear, vocabulary about your hard and soft skills. ]

F  Progressive Stages of an Interview Preparing for an interview

F  Building rapport

F  Gathering information

F  Giving information

F  Pre-interview work

2.        Probing Skills :

[ Avoiding mistakes during the interview, tips to help you answer questions effectively and confidently, understanding the importance of non-verbal communication during interview, and the importance of intonation. ]

F Effective use of questions

F Types of Questioning

F Open-ended questions

F Close-ended questions

F Factual Questions

F Questions about Opinions and Feelings

F Imaginative Questions

F Exploratory Questions

F Acceptable and Unacceptable Questions 

3.        Questioning Technique : 

[ Considering the questions that you, the interviewee should ask, or not ask, deciding what you should do, or not to do at the end of the interview, and after the interview, and discovering how online interviews are similar and different. ]

F  S – Situation

F  P – Perception

F  I – Intervention

F  L – Learning 

4.        Key Areas of Interviewing :

[ Answering those challenging interview questions, being able to stand out during interviews, providing diplomatic answers to questions you would prefer had not been asked and giving yourself time to come up with an answer, and stressing key words in your replies. ]

F  Having the right body language while interviewing

F  Reading the body language of the interviewee

F  Having the appropriate tone while interviewing

F  Importance of listening skills while interviewing

F  Managing bias in handling interviews Interview Simulations with Feedback

1. OOPS Concept.(2hrs).
2. Class and Objects.(5hrs).
3. Java Functions.(2hrs).
4. JAVA Exception Handling(2hrs).
5. JAVA Threads(4hrs).
6. JAVA Generics(4hrs).
7. JAVA Collection(4hrs).
8. JAVA Lambda(2hrs).
9. JAVA Web Services(5hrs)
   

OOPS Concept.(2hrs).
JAVA JDBC(2hrs).
Spring Basic(4hrs).
Spring AOP(3hrs).
Spring REST(5hrs).
SPRING JPA(6hrs).
Spring TEST(4hrs).
SPRING BOOT(8hrs).
SPRING Hand's ON project.(6hrs).