Data Science Cours

Data Science Course Curriculum

Course Fees: £1200   

Enroll Now

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)
• Course Info

  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

MICROSOFT DYNAMICS 365

Microsoft Dynamics 365

Course Fees: £1200   (Exam Fees excluded)

Enroll Now

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)

Course Aims:

This course is designed to give all new users practical experience in using Microsoft Dynamics 365. The course concentrates on the core functionally typically required by end users; they will see the scope of data that can be held in the database and start to use many of the features. It is also a prerequisite of most other courses.

Pre-Requisites:

All delegates should be familiar with using a PC and Windows applications, but no prior knowledge of Microsoft Dynamics 365 is assumed.

Course Outline

Course Content:

These courses are open to anyone. You may be a customer of CRM Dynamics, a company who has Dynamics CRM installed but require some training, or an individual looking to build your skills in this area.
All courses run on our standard training database. All delegates are provided with a computer to use for the training and a course manual to take away.

Software Version:

These courses are designed for users of Microsoft Dynamics 365 and differences may be found with earlier or later versions

Foundation with Sales:

This is the ideal starter course and assumes no prior knowledge of Microsoft Dynamics 365.

• Getting Started with Dynamics 365
• Searching
• Creating and updating records
• Views and Charts
• Activity Management
• Office Integration
• Working with Leads
• Opportunity Management
• Quotes
• Charts, Goals & Metrics

Case Management:

This course is designed to give new users practical experience setting up and using the Case Management module Dynamics 365.

Although some prior experience would be an advantage it is not essential.

• Overview of Dynamics 365
• Service Management Settings
• Holiday & Customer Service Schedules
• Entitlements, SLAs
• Creating Cases
• Managing Cases
• Parent & Child Cases
• Goals, Dashboards & Metrics

Database Management:

This course is designed to give “key” or “super” users practical experience in managing their Microsoft Dynamics 365 system. The course concentrates on the functionally which aids data management and is often only available to users with higher security permissions.

• Advanced Views, Charts & Dashboards
• Excel Templates
• Forms & Fields Introduction
• Duplicates • Importing and Exporting
• Merge records
• Setting up Goals & Metrics

Auditing Customisation:

This course is designed to give database administrators practical experience in customising their Microsoft Dynamics 365 system. The course concentrates on the key functionally for customising the database and is typically only available to those with system administrator rights.

• User Management
• Forms, fields and option sets
• Business Process Rules
• Email Templates
• Business Process Flow
• Workflow

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:

• Expected Salaries are as follows:
• For Contractors £300 to £400 per day
• Permanent Positions £40 to £60k per annum all depends on experience and skills set

Related Links

• Microsoft Office 365 Administration
• Microsoft Lync Server 2013
• Microsoft Exchange Server 2013 Training
• Microsoft Exchange Server 2010, Configuring
• Microsoft Dynamics CRM 2011 Installation and Deployment
• Microsoft Dynamics 365
• Microsoft Dynamics CRM 2011 Customization & Configuration

Call us for more details on: +44 – 203 371 0546, or contact us at: training@lsatraining.co.uk