LSA TRAINING LTD: September 2017

Wednesday 27 September 2017

Data Science Course

Data Science Course Curriculum

Course Fees: £1200

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About us:

LSA Training is an institution providing professional education to individuals pursuing career growth in an increasingly sophisticated and competitive world. We aim to promote excellence in education and training in both the academic and corporate world.
Duration: Extensive Accelerated Course

Week day Batches: 4 Days( Mon To Thur 10am to 3pm) 1 Week

Weekends Batches:4 weekends 10am to 4pm (Sat and Sun)

Evening Batches: 3 Weeks Mon to Fri (6pm to 9pm)

Data science Introduction

Data Science motivating examples — Nate Silver, Netfilx, Money ball, okcupid, LinkedIn,
Introduction to Analytics, Types of Analytics,
Introduction to Analytics Methodulogy
Analytics Terminulogy, Analytics Touls
Introduction to Big Data
Introduction to Machine Learning

R software:

Introduction and Overview of R Language :

Origin of R, Interface of R,R coding Practices
R Downloading and Installing R
Getting Help on a function
Viewing Documentation

Data Inputting in R Data Types

Data Types, Data Objects, Data Structures
Creating a vector and vector operations
Sub-setting
Writing data
Reading tabular data files
Reading from csv files
Initializing a data frame
Selecting data frame culs by position and name
Changing directories
Re-directing R output

Data Manipulation in R

Appending data to a vector
Combining multiple vectors
Merging data frames
Data transformation
Contrul structures
Nested Loops

splitting

Strings and dates
Handling NAs and Missing Values
Matrices and Arrays
The str Function
Logical operations
Relational operators
generating Random Variables
Accessing Variables
Matrix Multiplication and Inversion
Managing Subset of data
Character manipulation
Data aggregation
Subscripting

Functions and Programming in R

Flow Contrul: For loop
If condition
While conditions and repeat loop
Debugging touls
Concatenation of Data
Combining Vars, cbind, rbind
sapply, lapply, tapply functions

Basic Statistics in R :

Part-I Session 1

Descriptive Statistics Introduction to Advanced Data Analytics
Statistical inferences for various Business problems
Types of Variables, measures of central tendency and dispersion
Variable Distributions and Probability Distributions
Normal Distribution and Properties
Computing basic statistics
Comparing means of two samples
Testing a correlation for significance
Testing a proportion
Classical tests (t,z,F)
ANOVA
Summarizing Data
Data Munging Basics

Part-I Session 2

Test of Hypothesis Null/Alternative Hypothesis formulation 7
One Sample, two sample (Paired and Independent) T/Z Test
P Value Interpretation
Analysis of Variance (ANOVA)
Non Parametric Tests (Chi-Square, Kruskal-Wallis, Mann-Whitney.)

Part-I Session 3

Introduction to Correlation – Karl Pearson
Spearman Rank Correlation

Advanced Analytics :

Advanced Analytics with real world examples (Mini Projects)Part-II Session 1

Regression Theory
Linear regression
Logistic Regression Non Linear Regressions using Link functions
Logit Link Function
Binomial Propensity Modeling
Training-Validation approach

Part-II Session 2

Factor Analysis Introduction to Factor Analysis – PCA
Reliability Test 4
KMO MSA tests, Eigen Value Interpretation
Factor Rotation and Extraction

Part-II Session 3

Cluster Analysis Introduction to Cluster Techniques
Distance Methodulogies
Hierarchical and Non-Hierarchical Procedures
K-Means clustering
Wards Method

Time Series Analysis :

Part-III Session 1

Introduction and Exponential Smoothening Introduction to Time Series Data and Analysis
Decomposition of Time Series
Trend and Seasonality detection and forecasting
Exponential Smoothing (Single, double and triple)

Part-III Session 2

ARIMA Modeling Box – Jenkins Methodulogy
Introduction to Auto Regression and Moving Averages, ACF, PACF

Data Mining :

Machine learning with R:Part IV Session 1

Introduction to Machine learning and various machine learning techniques
Introduction to Data Mining
Introduction to Text Mining
Text analytic Process
Sentiment Analysis

Part IV

Statistical Analysis & Data Mining/Machine Learning
Cluster Analysis using R-Rattle
Association Rule Mining
Predictive Modeling using Decision Trees
Supervised learning
Un- Supervised learning
Reinforcement learning
Neural Network
Support Vector machine

Part IV Session 3

Evaluating & Deploying Models Evaluating performance of Model on Training and Validation data
ROC, Sensitivity, Specificity, Lift charts, Error Matrix
Deploying models using Score options
Opening and Saving models using Rattle

Analytics in Excel – 3 days

Data Preparation and Data Exploration in Excel
Network Analysis using NodeXL

Data Visualization in R

Creating a bar chart, dot plot
Creating a scatter plot, pie chart
Creating a histogram and box plot
Other plotting functions
Plotting with base graphics
Plotting with Lattice graphics
Plotting and culoring in R

Tableau with Case studiesSAS E Miner with use casesProject : Financial Project, Health care Project, Retail Project

Pre-Requisites:

Previous Educational Background in IT or experience in support of networking.

Also on this course we offer the following:

Hands on Experience
Real Time project work
Interview based Training

Training Highlights:

Instructor Led – Face2Face /True Live Online class
More interaction with student to faculty and student to student.
Detailed presentations. Soft copy of Material to refer any time.
Practical oriented / Job oriented Training. Practice on Software Tools & Real Time project scenarios.
Mock interviews / group discussions / interview related questions.
Test Lab is in Cloud Technology – to practice on software tools if needed.
We discuss about the real time project domains.
The teaching methods / tools / topics we chosen are based on the current competitive job market.

Expected Salary/ Pay Package:

For Contractors £200 to £400 per day
Permanent Positions £40k to £60k per annum all depends on experience and skills set

Tuesday 19 September 2017

What is Software Testing?

Software testing is a process of rating properties of a computer system /program to decide whether it meets the specified requirements and produces the desired results. In process, you identify bugs in software product/project.

Software Testing is indispensable to provide a quality product without any bug or issue.

Skills required to become a Software Tester

Following skills are indispensable to become a good software tester. Compare your skill set against the following checklist to determine whether Software Testing is a really for you-

A good software tester should have sharp analytical skills. Analytical skills will help break up a complex software system into smaller units to gain a better understanding and created corresponding test cases.
A good software tester must have strong technical skills. This would include high level of proficiency in tools like MS Office, Open Office etc., Testing tools like Selenium, Loadrunner, Performance Testing, etc. and of course deep understand of the application under test. These skills can be acquired through relevant training and practice. Also it’s an added advantage that you have some programming skills but it’s NOT a must.
A good software tester must have a good verbal and written communication skill. Testing artifacts (like test cases/plans, test strategies, bug reports etc.) created by the software tester should be easy to read and comprehend. Dealing with developers (in case of bugs or any other issue) will require a shade of discreetness and diplomacy.
Testing at times could be a demanding job especially during the release of code. A software tester must efficiently manage workload, have high productivity ,exhibit optimal time management and organization skills
To be a good software tester you must a GREAT attitude. An attitude to ‘test to break’ , detail orientation , willingness to learn and suggest process improvements. In software industry, technologies evolved with an overwhelming speed and a good software tester should upgrade his/her technical skills with the changing technologies. Your attitude must reflect a certain degree of independence where you take ownership of the task allocated and complete it without much direct supervision.
To excel in any profession or job, one must have a great degree of the passion for it. A software tester must have passion for his / her field. BUT how do you determine whether you have a passion for software testing if you have never tested before? Simple TRY it out and if software testing does not excite you switch to something else that holds your interest.

Academic Background:

Academic background of a software tester should be in Computer Science. A BTech/ B.E., MCA, BCA, BSc- Computers will land you a job easily.

If you do not hold any of these degrees than you must complete a software testing certification like ISTQB and CSTE which help you learn Software Development/ Test Life Cycle and other testing methodologies.

Remuneration

Compensation of a software tester varies from company to company. Average salary range of a software tester in US is $45,993 – $74,935. Average salary range of a software tester in India is Rs 247,315 – Rs 449,111.

Also, a software tester is also give health insurance, bonuses, gratuity and other perks.

Typical Workday:

On any typical work day you will be busy understanding requirement documents, creating test cases, executing test cases, reporting and re-testing bugs, attending review meetings and other team building activities.

Career Progression:

Your career progression as a software tester (QA Analyst) in typical CMMI level 5 company will look like following but will vary from company to company

QA Analyst (Fresher) => Sr. QA Analyst (2-3 year experience) => QA Team Coordinator (5-6 year experience> =>Test Manager (8-11 experience) => Senior Test Manager (14+ experience)

Alternate Career Tracks as a Software Tester

Once you have got yours hand dirty in manual testing, you can pursue following specializations

Automation Testing: As an automation Test Engineer, you will be responsible for automating menial test case execution which otherwise could be time consuming. Tools used Selenium IDE, TestNG.
Performance Testing: As a performance test engineer, you will be responsible for checking application responsiveness (time taken to load, maximum load application can handle) etc. Tools used WEB Load, Load runner.
Business Analyst: A major advantages Testers have over Developers is that they have end to end business knowledge. An obvious career progression for testers is to become a Business Analyst. As a Business Analyst you will be responsible to analyse and assess your company’s business model and work flows, and especially how they integration with technology. Based on your observation you will suggest and drive process improvements.
Common Myths

Software Testing as a Career pays Less
Developers are more respected as compared to Testers

Contrary to popular belief, Software Testers (better known as QA professionals) are paid and treated at par with Software Developers in all “aspiring” companies. A career in Software Testing should never be considered as “second rated”.

Software Testing is Boring

Software Testing could actually “test” your nerves since you need to make sense of Business Requirements and draft test cases based on your understanding. Software testing is not boring. What is boring is doing the same set of tasks repeatedly. The key is to try new things. For that matter, have you ever spoken a to a software developer with more than 3 years’ experience? He will tell you how boring his job has become off-lately.

Okay I am interested, where to begin?

For a complete newbie, here is our suggested approach to learn Software Testing.

You start with learning Basic principles of software testing. Once done you apply for freelancing jobs. This will help you gain practical knowledge and will fortify the testing concepts you have learned.

Next you proceed to Selenium – Automation tool, then Load runner – Performance Testing tool and finally Test Management Tool. All the while you are learning, we suggest you apply for freelancing jobs (apart from other benefits you will make some moolah too!).

Once you are through with all the tools, you may consider taking a certification. We recommend ISTQB. But this is optional.

After this, when you apply for permanent jobs in big corporations you will have many skills to offer as well some practical freelancing experience which may be of value and will definitely increase your chances of being selected.

Friday 15 September 2017

AWS Certified Solutions Architect – Professional certified

Course Fees: £1200 (Exam Fees Excluded)

Enroll Now

Duration: Extensive Accelerated Course

Week day Batches: 8 Days( Mon To Thur 10am to 3pm) 2 Week
Weekends Batches:4 weekends 10am to 4pm (Sat and Sun)
Evening Batches: 3 Weeks Mon to Fri (6pm to 9pm)

On this advanced AWS course, you’ll also learn how to:

Select the best AWS services to design and deploy an application
Design and deploy enterprise-wide scalable operations on AWS
Implement cost control strategies
Migrate complex, multi-tier applications on AWS

Course-List

High Availability and Business Continuity

Demonstrate ability to architect the appropriate level of availability based on stakeholder requirements
Demonstrate ability to implement DR for systems based on RPO and RTO
Determine appropriate use of multi-Availability Zones vs. multi-Region architectures
Demonstrate ability to implement self-healing capabilities

Content may include the following:

High Availability vs. Fault Tolerance

Costing

Demonstrate ability to make architectural decisions that minimise and optimise infrastructure cost
Apply the appropriate AWS account and billing set-up options based on scenario
Ability to compare and contrast the cost implications of different architectures

Deployment Management

Ability to manage the lifecycle of an application on AWS
Demonstrate ability to implement the right architecture for development, testing, and staging environments
Position and select most appropriate AWS deployment mechanism based on scenario

Network Design for a complex large scale deployment

Demonstrate ability to design and implement networking features of AWS
Demonstrate ability to design and implement connectivity features of AWS

Data Storage for a complex large scale deployment

Demonstrate ability to make architectural trade off decisions involving storage options
Demonstrate ability to make architectural trade off decisions involving database options
Demonstrate ability to implement the most appropriate data storage architecture
Determine use of synchronous versus asynchronous replication

Security

Design information security management systems and compliance controls
Design security controls with the AWS shared responsibility model and global infrastructure
Design identity and access management controls
Design protection of Data at Rest controls
Design protection of Data in Flight and Network Perimeter controls

Scalability and Elasticity

Demonstrate the ability to design a loosely coupled system
Demonstrate ability to implement the most appropriate front-end scaling architecture
Demonstrate ability to implement the most appropriate middle-tier scaling architecture
Demonstrate ability to implement the most appropriate data storage scaling architecture
Determine trade-offs between vertical and horizontal scaling

Cloud Migration and Hybrid Architecture

Plan and execute for applications migrations
Demonstrate ability to design hybrid cloud architectures

Pre-Requisites:

Previous Educational Background in IT or experience in support of networking.

Also on this course we offer the following:

Hands on Experience
Real Time project work
Interview based Training

Training Highlights:

Instructor Led – Face2Face /True Live Online class
More interaction with student to faculty and student to student.
Detailed presentations. Soft copy of Material to refer any time.
Practical oriented / Job oriented Training. Practice on Software Tools & Real Time project scenarios.
Mock interviews / group discussions / interview related questions.
Test Lab is in Cloud Technology – to practice on software tools if needed.
We discuss about the real time project domains.
The teaching methods / tools / topics we chosen are based on the current competitive job market.

Expected Salary/ Pay Package:

For Contractors £200 to £400 per day
Permanent Positions £40k to £60k per annum all depends on experience and skills set

Tuesday 12 September 2017

https://lsatraining.blogspot.co.uk/p/courses.html

Microsoft Azure Cloud

Course Fees: £1550

Enroll Now

Workshop Overview

This workshop is an introduction to cloud computing and specifically Microsoft’s public cloud offering in Windows Azure. Windows Azure has been described by Microsoft as an operating system for “the cloud”. In this workshop, you explore this new cloud operating system and learn how to write, deploy and monitor .NET applications in Azure. This workshop is designed for .NET developers with Web application experience that are exploring developing new applications or porting existing applications to Windows Azure.

Prerequisites

Experience with Visual Studio 2008 or better is required. Knowledge and experience in a .NET language (C# or VB) is required.

Course Outline

Module 1: Introduction to Cloud Computing

What is Cloud?
Cloud Architecture
Cloud benefits
Types of cloud
Importance of IAAS, PAAS, SAAS
Real world example of cloud usage
Trends in cloud computing