Post Graduate Program (PGP) in Data Science

Bsc in FULL STACK DEVELOPMENT by College de Paris

3 years Immersive Online Program

180 ECTS Credits

Industrial Projects

Industry Based Trainers

Multiple Simulation Exams

Extensive Lab and Digital Library

Personalized and Group-support through peer-review

Become-Job Ready with Solid Portfolio

Introduction

Preparatory

Front End Software Developement

FRONT-END DEVELOPMENT – HTML & CSS

HTML & CSS Interaction, CSS: Styling, Selectors, Box Model, Border, Margin, Padding, etc
Bootstrap 3
Advanced CSS and Bootstrap 4
Migrating to Bootstrap 5

FRONT-END DEVELOPMENT – JAVASCRIPT

JavaScript Fundamentals, Hoisting, Callbacks, Promises, Asynchronous JavaScript, DOM Manipulation, JSON, AJAX Calls, Communication with Server, Event Listeners, Local and Session Storage, etc.
Advanced JavaScript –ES6, Let & Const, Arrow Functions, Array Destructuring, Async/Await, Babel, Webpack, etc

JAVASCRIPT FRAMEWORKS – Angular ( OR)

Overview
Angular Services, Routing and Single Page Applications
Angular Forms, Angular and Reactive JavaScript
Client-Server Communication

JAVASCRIPT FRAMEWORKS – REACT (OR)

React Introduction, React Router, Components and Single Page Applications
React Forms, Flow Architecture
Redux & Client-Server Communication, etc

Back-End Software Development

OBJECT-ORIENTED PROGRAMMING

Object-Oriented Paradigms of Java Programming (Classes, Objects, etc.)
Object-Oriented Design - Interfaces| Abstract Classes | polymorphism (Dynamic and Static)
Exception Handling, Collections, Concurrency, etc.

DATA STRUCTURES

Linear Data Structures (Arrays, Strings, Stacks, Queues, Linked Lists, etc.)
Binary Trees and Binary Search Trees, Tree traversals

ALGORITHMS

Basic Algorithms: Recursion, Searching and Sorting Algorithms, Greedy Algorithms
Advanced algorithms – Graphs, Dynamic Programming, Hashing Algorithms
Processing, Storing & Organizing Data: Data Models

DATABASE DESIGN & SYSTEMS

Tables, Views, SQL Queries - Simple & Complex
Database Schemas, Normalization, Keys, Indexes
JDBC
Introduction to NoSQL databases
CGI vs Tomcat (Server)

Backened Prep Servlet

JSP & Servlets
Servlet Lifecycle
Request & Response - Execute Get post put delete on servlets , Servlet API , FORMS
REST APIs

SERVER-SIDE DEVELOPMENT & FRAMEWORKS

Spring MVC Architecture
Backend Development Using Springboot Framework
ORM & Hibernate
REST APIs

Mobile Application Development React Native

INTRODUCTION

Understanding Native Mobile Apps Development
Why to choose Native Mobile Apps Development
Ways to develop Native Mobile Apps
Future of Native Mobile Apps Development
Advantages of Native Mobile Apps

Android fundamentals

Activities
Views
Layouts
Resources
Manifest
Android Activity Life Cycle Events
Running, Deployment, Testing Deploying app to Emulator and Devices

iOS fundamentals

Storyboard
Segues
Views
View Controllers
Layouts
iOS Life Cycle
Running, Deployment, Testing Deploying app to Emulator and Devices

Setting Up Our Development Environment

Installing the React Native CLI Installing IDE: VS Code
Platform Tools Installations
Setting Emulators and Simulator
Adding Mobile Platforms
Previewing on Emulator and Simulator
Previewing on Device
React Native CLI.
React Native Core Concepts View, Text, Text Input, Button, Switch, Image, Status Bar, List Views: Flat List, Section List etc

React Native Elements: React Native UI Toolkit

Conditional Styling
Inline styles
Using a stylesheet
Adding multiple styles
Inheritance
Installing React Native Elements
Using React Native Elements
Navigator and WebView

Native Modules and APIs

Linking Native API
Geolocation
Video Component
Modals
ActivityIndicator
Animations

CLOUD COMPUTING & Devops (6 Weeks)

VIRTUALIZATION

Basics of Virtual Machines - Process Virtual Machines
System Virtual Machines –Emulation – Interpretation
Binary Translation - Taxonomy of Virtual Machines. Virtualization –Management Virtualization
Hardware Maximization – Architectures
Virtualization Management – Storage Virtualization – Network Virtualization.

VIRTUALIZATION INFRASTRUCTURE

Comprehensive Analysis Resource Pool – Testing Environment
Server Virtualization – Virtual Workloads – Provision Virtual Machines
Desktop Virtualization – Application Virtualization
Implementation levels of virtualization – virtualization structure
virtualization of CPU, Memory and I/O devices
Virtual clusters and Resource Management – Virtualization for data centre automation.

CLOUD PLATFORM ARCHITECTURE

Cloud deployment models: public, private, hybrid, community
Categories of cloud computing: Everything as a service: Infrastructure, platform, software
A Generic Cloud Architecture Design
Layered cloud Architectural Development
Virtualization Support and Disaster Recovery
Architectural Design Challenges - Public Cloud Platforms: GAE, AWS
Inter-cloud Resource Management Tentative

PROGRAMMING MODEL

Introduction to Hadoop Framework - MapReduce, Input splitting, map and reduce functions, specifying input and output parameters, configuring and running a job
Developing Map Reduce Applications –
Design of Hadoop file system –Setting up Hadoop Cluster
Cloud Software Environments -Eucalyptus, Open Nebula, Open Stack, Nimbus

CLOUD SECURITY

Cloud Infrastructure security: network, host, and application-level
aspects of data security, provider data and its security,
Identity and access management architecture,
IAM practices in the cloud, SaaS, PaaS, IaaS availability in the cloud
Key privacy issues in the cloud
Cloud Security and Trust Management

CLOUD AND DEVOPS

DevOps: Motivation-Cloud as a platform-Operations-
Deployment Pipeline: Overall Architecture Building and Testing-Deployment- Case study: Migrating to Microservices
Origin of DevOps - The developers versus operations dilemma
Key characteristics of a DevOps culture – Deploying a Web Application - Creating and configuring an account
Creating a web server - Managing infrastructure with Cloud Formation
Adding a configuration management system

Design Thinking for Innovation

INTRODUCTION

Why Design? - Four Questions, Ten Tools
Principles of Design Thinking
The process of Design Thinking
How to plan a Design Thinking project.

UNDERSTAND, OBSERVE AND DEFINE THE PROBLEM

Search field determination
Problem clarification
Understanding of the problem
Problem analysis
Reformulation of the problem
Observation Phase
Empathetic design
Tips for observing
Methods for Empathetic Design
Point-of-View Phase
Characterization of the target group
Description of customer needs.

IDEATION AND PROTOTYPING

Ideate Phase
The creative process and creative principles
Creativity techniques
Evaluation of ideas
Prototype Phase
Lean Startup Method for Prototype Development
Visualization and presentation techniques.

TESTING AND IMPLEMENTATION

Test Phase
Tips for interviews
Tips for surveys
Kano Model
Desirability Testing - How to conduct workshops
Requirements for the space
Material requirements
Agility for Design Thinking.

FUTURE

Design Thinking meets the corporation
The New Social Contract
Design Activism
Designing Tomorrow.

PMP 5 yrs Exp

Creating A High Performing Team

Build A Team
Define Team Ground Rules
Negotiate Project Agreements
Empower Team Members And Stakeholders
Train Team Members And Stakeholders
Engage And Support Virtual Teams
Build Shared Understanding About A Project

Starting The Project

Determine Appropriate Project Methodology/Methods And Practices
Plan And Manage Scope
Plan And Manage Budget And Resources
Plan And Manage Schedule
Plan And Manage Quality Of Products And Deliverables
Integrate Project Planning Activities
Plan And Manage Procurement
Establish Project Governance Structure
Plan And Manage Project/Phase Closure

Doing The Work

Assess And Manage Risks
Execute Project To Deliver Business Value
Manage Communications
Engage Stakeholders
Create Project Artifacts
Manage Project Changes
Manage Project Issues

Keeping The Team On Track

Lead A Team
Support Team Performance
Address And Remove Impediments, Obstacles, And Blockers
Manage Conflict
Collaborate With Stakeholders
Mentor Relevant Stakeholders
Apply Emotional Intelligence To Promote Team Performance

Keeping The Business In Mind

Manage Compliance Requirements
Evaluate And Deliver Project Benefits And Value
Evaluate And Address Internal And External
Business Environment Changes
Support Organizational Change
Employ Continuous Process Improvement

Prince 2 Foundation Practitioner Training >5 yrs Exp

Employability Enhancement Program(2 Weeks)

John Smith

For Successful Completion of the Post Graduate Program In
Data Science with all the Mandatory Course Requirements
and Capstone Projects with Distinction.

11/03/2020

Date

Director Training

www.careerera.com

Certificate URL : https://certificate.careerera.com/certificate/jS0HG7gXtIZB09W

Certificate Number : 0000901886

Bhuavana
Hi Careerera Team

I feel this is the right time to convey my comments about this course. When I enrolled into the course I was very much excited to learn about data science and equally had a worry that how is it going to work in a virtual environment.

My Trainer Kumar Saurabh and he totally eradicated my worries. He is the most wonderful trainer I have ever had. He is a very knowledgeable and passionate person on what he is doing.

He answered all my questions(sometimes I ask dump questions :) ) and made sure I was clear with the concepts of Data Science. He provided confidence by teaching the concept right and gave me enough space to learn about it. Never rushed to complete any concepts for namesake. Gave a lot of homeworks and handson to make sure that practical knowledge is gained well. Provided enough gained to face the interview as well, what else is most important that getting into a job we like. But a job is not only the end result of a course also the working knowledge we gained. I sure, I did it and he made it.
Finally I am so happy that I have chosen Careerera for my DataScience learning and I definitely highly recommend this course to my friends as well as the trainer. He is the life savier. Thank you so much for the great opportunity. .

Ramadoss Nambi
Here is my view on the PG Course & tutor till now.
- Knowledge - tutor is having very good knowledge on the data science which he is explaining
- Communication - the way presentation is done in the class is really good . Tutor is able to explain with the proper communication and we are able to grasp the topic what has been planned
- Course agenda - till now the classes are going as per the agenda shared for the course
- Real world examples- there are some test data from real world take but still I feel like some real world use cases be taken to associate with algorithm so that it will be easy to remember as the day is going we see so many algorithm and pattern coming and find it difficult to keep it in memory.

Swathish
A very useful course overall. I really enjoyed the journey from Data Science basics like Multivariable Calculus all the way to advanced concepts of Machine Learning. The instructor was excellent and taught the course in a clear, concise, and thorough manner. He answered all my doubts patiently and helped us in a hands-on way with our end-term projects.

Gaurav Sharma
I am completely new to the field of Data Science but the team at Careerera has put together such a wonderful course on Data Science that even I was able to understand everything clearly. The assignments were very relevant to the course and helped us practice and learn all the concepts practically. The instructors were very helpful too.

vaishali
I enjoyed this course very much. It was structured in a way that made it extremely easy to keep up with the instructors. I specially liked the way Linear regression and Calculus was introduced with visual examples and good concept building. The instructors made the content simple and smooth and I was able to get a good grasp on everything taught.

Pooja kulkarni
This course is one of the best online resources on Data Science. The explanations of all the concepts were well-developed, complete, and logical. The instructors knowledge of the subject matter was comprehensive and it showed in their teaching. The order of the topics was decided very wisely as they all built upon one another progressively and were supplemented by assignments which were put together very well. The difficulty of the assignments and the projects was exactly what I required to practice the subject matter properly.

Mark Stapay
The instructors have done a superb job in crafting the content for the course together. I did not have any prior programming experience but I was able to understand everything taught in the course regarding Python and Machine Learning very quickly. I particularly liked all the extra notes, assignments, and projects assigned to the students as they enabled me to test and polish my learning and skills.

kim
I received a great learning experience from taking Careerera’s PGP in Data Science course. It has made me an intermediate learner of Data Science from a complete beginner. I think it was only possible due to the wonderful tools, notes, and videos provided by the instructors. They made the content very straightforward and transparent. I also thought that the assignments and projects that they set for us were very helpful for making me recall what I had studied.

Darrel Green
At first I was skeptical that I would benefit at all from an online PGP in Data Science course. But when I started studying in the course through Careerera I was pleasantly surprised by their brilliant online setup, facilities, and instructors. The quality of the course material was par excellence and I was able to understand and learn the course material very easily and smoothly. The assignments and projects assigned to the students were set at a very appropriate difficulty too.

safwan
I would highly recommend this PGP in Data Science course from Careerera to anyone seeking to improve their skills and knowledge of Data Science. I enrolled in this course with the aim of learning more about Machine Learning and I was able to learn more about it successfully because of the wonderful instructors and their quality training materials such as notes, videos, assignments, and projects. The best part was that they responded to all my doubts and questions very quickly.

Mike G
Even though there were lots of options for beginners for learning Data Science, I chose Careerera’s PGP in Data Science course because of Careerera’s sterling brand and reputation. I don’t regret that choice in the slightest and am thankful to Careerera for providing such a wonderful course. The course material including the videos, notes, and projects were all perfect for a beginner and the assignments were evaluated which helped me clear all my doubts.

Guillaume K
I would like to express my gratitude to Careerera was delivering such a wonderful presentation on Data Science in the form of their PGP in Data Science course. Initially, I was worried about the quality of the course since it was online but when I actually enrolled in it I found all the components of the course to be first-class. The videos were great, the notes and assignments were very helpful, and the projects really made me think hard about the material that I had studied.

Bsc in FULL STACK DEVELOPMENT by College de Paris

B.Sc in Full-Stack Development Program

Who can Take this Program?

Why B.Sc in Full Stack Development?

13%

853K

35%

Program Outcome

Program Highlights

Collaborations

Dedicated Support Team for your Academic Journey

Become Job-ready

Program Curriculum

Foundations

Introduction

Preparatory

Front End Software Developement

Back-End Software Development

Mobile Application Development React Native

CLOUD COMPUTING & Devops (6 Weeks)

Design Thinking for Innovation

PMP 5 yrs Exp

Prince 2 Foundation Practitioner Training >5 yrs Exp

Employability Enhancement Program(2 Weeks)

Capstone Projects

Retail

E-commerce

Web & Social Media

Banking

Supply Chain

Healthcare

Retail

Insurance

Entrepreneurship /Start Ups

Finance & Accounts

Why Careerera

Users

Top Ranked Programs

Industry Experts

Expert Faculties

Full Stack Development

Career Assistance

Alumni Highlights

Our Users From

Application Process

Fill out the online application form

Admissions committee will review and shortlist.

Appear for an online aptitude test.

Screening call with Alumni/ Faculty

FAQ

Q1. Is Full-Stack Development a good career choice?

Q2. What is the average salary of a Full-stack Developer at the entry level?

Q3. Which are the Highest-Paid Jobs in the Software Application Area?

Q4 :What are the most in-demand Industry kills in Software development?

Q5. What is the unique advantage of being a Full-Stack Developer?

John Smith

11/03/2020

Blogs and Articles

Student's Review & Feedback

4.5 / 5 by 1600 learners

Bhuavana

Ramadoss Nambi

Swathish

Gaurav Sharma

vaishali

Pooja kulkarni

Mark Stapay

kim

Darrel Green

safwan

Mike G

Guillaume K

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