Liverpool John Moores University - Liverpool John Moores University - Master of Science in Data Science
- Offered byTalentedge
- Estd. 2012
Liverpool John Moores University - Master of Science in Data Science at Talentedge Overview
Duration | 18 months |
Total fee | ₹4.99 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | PG Degree |
Liverpool John Moores University - Master of Science in Data Science at Talentedge Highlights
- Earn a master degree and alumni status from Liverpool John Moores University and IIIT Bangalore
- Learn from 60+ case studies and project
- Career Bootcamps to refresh your technical concepts and improve your soft skills
- Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
- Get mentored by an experienced industry expert and receive personalized feedback to achieve your desired outcome
Liverpool John Moores University - Master of Science in Data Science at Talentedge Course details
- For Engineers
- For Marketing & Sales Professionals
- For Freshers
- For Data Professionals
- For Domain Experts
- For Software & IT Professionals
- This program will help learners to develop practical knowledge & skills, establish a professional network, and accelerate their journey in the field of data science
- Campus Immersion: INR 2,00,000 (incl. GST)
Liverpool John Moores University - Master of Science in Data Science at Talentedge Curriculum
Pre-Program Preparatory Content
Data Analysis in Excel
Analytics Problem Solving
Course 1: Data Toolkit
Introduction to Python
Programming in Python
Python for Data Science
Data Visualization in Python
Exploratory Data Analysis
Credit EDA Case Study
Inferential Statistics
Hypothesis Testing
Data Analysis using SQL
Advanced SQL & Best Practices
SQL Assignment: RSVP Movies
Course 2- Machine Learning-1
Linear Regression
Linear Regression Assignment
Logistic Regression
Classification using Decision Trees
Unsupervised learning: Clustering
Basics of NLP and Text Mining
Business Problem Solving
Case Study: Lead Scoring
Specialization-Deep Learning
Bagging & Random Forest
Boosting
Model Selection & General ML Techniques
Principal Component Analysis
Advanced Regression
Advanced ML case Stuy
Time Series Analysis
Introduction to Neural Networks and ANN
Neural Network Assignment
Convolutional Neural Networks
Convolutional Neural Networks -Industry Applications
Object Detection & Image Segmentation (Optional)
Recurrent Neural Networks
Gesture Recognition
Capstone Project
Specialization- Natural Language Processing
Bagging & Random Forest
Boosting
Model Selection & General ML Techniques
Principal Component Analysis
Advanced Regression
Advanced ML Case Study
Time Series Forecasting
Neural Nets for NLP
Syntactic Processing
Syntactic Processing Assignment
Semantic Processing
Applied DL in NLP
Case Study: Automatic Ticket Classification
Capstone Project
Specialization- Business Analytics
Bagging & Random Forest
Model Selection & General ML Techniques
Time Series Forecasting
Model Selection Case Study
Visualisation using Tableau
Advanced Excel
Visualization using PowerBI
Structured Problem Solving using Frameworks
Data Storytelling
AirBnB Case Study
Operations Research in Excel
Data Architecture
Data Strategy
Business Case Study
Capstone Project
Specialization- Business Intelligence/Data Analytics
Data Modelling
Advanced SQL and Best Practices
Introduction to Big Data and Cloud
Analytics using Spark
Big Data Case Study
Visualisation using Tableau
Advanced Excel
Visualization using PowerBI
Structured Problem Solving using Frameworks
Data Storytelling
AirBnB Case Study
Data Structures - Sets, Dictionaries, Stacks, Queues
Searching and Sorting
Algorithm Analysis + Recursion
Advanced Database Programming using Pandas
Python & SQL Lab
Capstone Project
Specialization- Data Engineering
Data Management and Relational Database Modelling
Introduction to Big Data(Optional)
Introduction to Cloud and AWS Setup
Introduction to Hadoop and MapReduce Programming
Assignment (Optional)
NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB(Optional)
Data Warehousing (Optional)
Data Ingestion with Apache Sqoop and Apache Flume
Map reduce Programming Assignment
Hive & Querying
Assignment (Optional)
Amazon Redshift
Introduction to Apache Spark
Project: ETL Data Pipline
AWS Cloud Infrastructure (Optional)
Optimising Spark for Large Scale Data Processing
Apache Flink(Optional)
Real-Time Data Streaming with Apache Kafka
Real-Time Data Processing using Spark Streaming
Assignment (Optional)
Building Automated Data Pipelines with Airflow
Analytics using PySpark
Project: Real Time data processing
Capstone Project
Research Methodologies
Introduction to Research and Research Process
Research Design
Literature Reviewing
Research Project Management
Report Writing and Presentation Skills
Scientific Ethics
Master's Dissertation
Investigate dietary patterns and metabolite fingerprints of takeaway (fast) food consumers using PCA and Clustering methods
Investigate a diagnosis of eye diseases using imaging ophthalmic data
Structure medical images with information geometry
Using Social media feed to place tweets regarding natural disasters on a map
Preventing credit card fraud through pattern recognition
Developing a recommender system for a Media giant
Risk modeling for Financial activities and Investment Banking