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Data Science

Course

DATA SCIENCE

Category

Online Certification

Eligibility

All Job Seekers

Mode

Both Classroom and Online Classes

Batches

Week Days and Week Ends

Duration :

45 Days

Amazon AWS Objectives

•Learn how to code in Data science.
•Learn by example, by writing exciting programs
•Learn how to write high-quality code using Data science.
•How to handle Data science script and code in apps.
•Write Compile and Run codes and apps using Data science.
•Discuss all the principles of Data science and demonstrate though Assignment.
•Learn how to test your Go code with real world examples
•you will be confident in your skills as a Developer / designer
•Gain the ability to adapt to any coding language with the concepts of Data science

Data science Course Highlights

•Free Aptitude classes & Mock interviews
•Exercises and handouts after every session
•Learn Core concepts from Leading Instructors
•Personal attention and guidance for every student
•Assignments and test to ensure concept absorption.
•Training by Proficient Trainers with more than a decade of experience
•Every class will be followed by practical assignments which aggregates to minimum 60 hours.
•We help the students in building the resume boost their knowledge by providing useful Interview tips

Who are eligible for Data science

•Automative design eng, Chasis Brakes, UGNX, Electrical, UI, Mobile Testing, .NET Lead, Cognos Developer, Java j2ee, Core Java, Automation Testing
•Java Developer, Mainframes Developer, Sap Consultant, Qa, Network Operations, C++ Developer, Wintel Admin
•Java, .NET, Software Testing, Android Developer, IOS Developer, Engineering, SAP, BI, PHP, UI Designer, Big Data, PHP5, HTML5, Linux
•Php Developer, Web Designing, Telecaller, Web Designer, Css, Javascript, Ajax, Bootstrap, Mysql, Web Technologies, Web Development, Ui Developer
•Sfdc, Software Development, Visualforce, Salesforce, Sale Cloud, Service Cloud, Marketing Cloud, Community Cloud, apex, Salesforce.com, customization, detail

DATA SCIENCE Syllabus

Introduction


&#10004Python Data Science
✔Python Data Science Introduction
✔Python Data Science Environment Setup
✔Python Pandas
✔Python Numpy
✔Python SciPy
✔Python Matplotlib
✔Learning What MarkLogic Is
✔Understanding What MarkLogic is Being Used For
✔Getting Started With How MarkLogic Works
✔System Requirements
✔Download the Virtual Machine
✔Using Virtual Box
✔Getting Set Up
✔MarkLogic System Requirements
✔System Architecture
✔DB Concepts
✔Transact – Structured Query Language (T-SQL)
✔Data Definition Language
✔Data Manipulation Language
✔Data Control Language
✔Identifiers
✔T-SQL Extensions
✔What is IoT?
✔How IoT is applied in different domains?
✔Use cases ranging from Smart Cities to IIoT
✔How large is the IoT Market in different domains?
✔What is Programming
✔Logic behind data storage
✔What is Java
✔Platform Independent
✔JRE, JDK & IDE
✔Details on JVM
✔Variables and Datatype
✔Package
✔Introduction to Linux
✔Linux admin commands
✔Introduction to Cloud
✔Comparison with Amazon AWS and Rackspace cloud
✔Other Cloud frameworks
✔Introduction to OpenStack and its components
✔Virtualization techniques
✔What is Ruby
✔Why ruby
✔General purpose of ruby
✔Brief History of Ruby
✔Where does ruby get its ideas
✔Ruby Installation with RVM
✔Creating a basic script in ruby
✔Sample demo of ruby program
✔SharePoint 2013 Overview
✔SharePoint 2013 Architecture
✔SharePoint On-Premises and Cloud differences
✔Software & Hardware requirements
✔SharePoint 2013 Installation & Configuration of a New Farm
✔Exploring SharePoint 2013 Central Administration
✔Load Runner Installation
✔Load Runner architecture
✔Where to install Load Runner components
✔Identify hardware and software needed for installation
✔Installing Load Runner samples.
✔What is automation testing?
✔What is the use of automation testing?
✔What do we need to Automate?
✔What is Selenium?
✔Advantages of Selenium
✔What is the difference between Selenium and QTP?
✔Selenium with C#
✔Course Introduction
✔Introduction to UNIX/LINUX
✔History of UNIX/LINUX
✔Features and Benefits of UNIX/LINUX
✔Different flavors of UNIX/LINUX
✔Difference between UNIX, DOS, Windows and LINUX
✔Architecture of UNIX
✔What You Should Already Know
✔What is jQuery?
✔Adding the jQuery Library to Your Pages
✔Basic jQuery Example
✔Downloading jQuery
✔Alternatives to Downloading
✔jQuery Syntax
✔The Document Ready Function
✔How to use Custom Scripts?
✔Using Multiple Libraries
✔jQuery – noConflict() Method
✔XML and Ajax
✔XML,DOM and Javascript
✔Dynamic Tables
✔JSON
✔Review of Object Literals
✔Concepts: Model-View-Controller
✔What is Model-View-Controller?
✔How does Backbone.js fit into this model?
✔What about the back-end?
✔What is Bootstrap?
✔Features of Bootstrap
✔History of Bootstrap
✔Bootstrap Overview
✔Bootstrap Installation
✔Tools Used for Web Development
✔Setting Development Environment
✔Bootstrap First Application
✔Bootstrap Components Overview
✔Basic Typography
✔Text Alignment & Display
✔Floats Position in Bootstrap
✔Colors Background
✔Spacing in Bootstrap
✔Sizing in Bootstrap
✔Breakpoints in Bootstrap
✔Buttons in Bootstrap
✔Navbars in Bootstrap
✔List groups and Badges in Bootstrap
✔Forms in Bootstrap
✔Input groups in Bootstrap
✔Alerts & Progress bars in Bootstrap
✔Tables & Pagination in Bootstrap
✔Cards in Bootstrap
✔Media Objects
✔Grid System in Bootstrap
✔Grid Alignments in Bootstrap
✔Flex boxes in Bootstrap
✔Auto margin & wrapping order in
✔Carousels in bootstrap
✔Collapse classes in Bootstrap
✔Tooltips in Bootstrap
✔Popovers in Bootstrap
✔Modals in bootstrap
✔History
&#10004Features
&#10004Setting up path
&#10004Working with Python
&#10004Basic Syntax
&#10004Variable and Data Types
&#10004Operator

Python Data Processing


&#10004Python Data Operations
✔Python Data cleansing
✔Python Processing CSV Data
✔Python Processing JSON Data
✔Python Processing XLS Data
✔Python Relational databases
✔Python NoSQL Databases
✔Python Date and Time
✔Python Data Wrangling
✔Python Data Aggregation
✔Python Reading HTML Pages
✔Python Processing Unstructured Data
✔Python word tokenization
✔Python Stemming and Lemmatization

Python Data Visualization


&#10004Python Chart Properties
✔Python Chart Styling
✔Python Box Plots
✔Python Heat Maps
✔Python Scatter Plots
✔Python Bubble Charts
✔Python 3D Charts
✔Python Time Series
✔Python Geographical Data
✔Python Graph Data

Statistical Data Analysis


&#10004Python Measuring Central Tendency
✔Python Measuring Variance
✔Python Normal Distribution
✔Python Binomial Distribution
✔Python Poisson Distribution
✔Python Bernoulli Distribution
✔Python P-Value
✔Python Correlation
✔Python Chi-square Test
✔Python Linear Regression