University of Arizona - University of Arizona - Master's of Science in Data Science offered by INSOFE
- Private Institute
- Estd. 2011
University of Arizona - Master's of Science in Data Science at INSOFE Overview
Duration | 24 months |
Total fee | ₹10.00 Lakh |
Mode of learning | Online |
Credential | Certificate |
University of Arizona - Master's of Science in Data Science at INSOFE Highlights
- Earn a master degree and alumni status from University of Arizona
- Get 100% career support by upGrad
- Live sessions by experts on various industry topics
- 30+ Live Learning Sessions & 25+ Industry-Driven Case Studies
- One-on-one discussion and feedback sessions with industry mentors
University of Arizona - Master's of Science in Data Science at INSOFE Course details
- For Managers and Aspiring Managers
- For MBA Graduates
- For Engineers
- For Professionals in various domains
- Python
- BD processing using Spark
- Deploy ML Models
- Supervised & Unsupervised ML Models
- Predictive Analytics & Statistics
- This full-time master’s program is offered in a blended format where students will spend their time learning online over the week and attend in-classroom sessions over the weekend
- We believe the level of applied knowledge is imparted better in a classroom where students get the benefit of interacting with the professors in person and also get a hands-on experience of practical scenarios
University of Arizona - Master's of Science in Data Science at INSOFE Curriculum
Pre Course Requisites
Fundamentals of Calculus and Probability
Basics of R Programming
Basics of Python Programming
Tools Covered: Python and R Programming
Data Analysis and Visualization
Functional Programming in Python
Data Structures and Algorithms
Database Design and Introduction to MySQL
Tableau
Essential Data Science Tools: Github and Jekyll
Tools Covered: Python, MySQL, Tableau, Github and Jekyll
Data Mining and Discovery
Libraries for Data Science: Numpy, Pandas
Advance Visualisation
Exploratory Data Analysis
Inferencing from Data with R
Hypothesis Testing with R
Tools Covered: R programming, Numpy, Pandas, matplotlib, seaborn and ggplot
Introduction to Machine Learning
Building Linear Regression Models from Scratch
Linear Regression practical applications
Logistic Regression
Decision Trees
Random Forest
PCA
Clustering
Bagging, Boosting and Regularization
Model Selection and Feature Engineering
Tools Covered: Python, sklearn and matplotlib
Data Base Development and Management
Advance SQL
Introduction to NoSQL
Tools Covered: MySQL, NoSQL and MongoDB
Data Warehousing and Analytics in the Cloud
Introduction to Cloud
Elastic Provision Services of Cloud and Setting up Cloud
Introduction to HDFS
Hive Querying
Introduction to Spark
Handling Big data with Spark
SparkML
Tools Covered: AWS, Hive, Apache Spark, SparkML, Spark Streaming and Pyspark
Capstone Project -1
Best practices for Effective Communication
Capstone Project
Neural Networks
Introduction to Neural Networks
CNN
RNN
Computer Vision
Tools Covered: Python, OpenCV, TensorFlow, YOLO, SSD and MaskRCNN
Applied Natural Language Processing
Lexical Processing
Syntactic Processing
Semantic Processing
Introduction to Attention Mechanism
Advanced Language Models: BERT, GPT
Tools Covered: Python, NLTK, Spacy, BERT, GPT and TensorFlow
Managing the Digital Information Environment
Structured Problem Solving
Data Storytelling
Framework to DS/ML solution building strategy
Building Data Architecture
Introduction to MLOps
Introduction to Data and Model Lifecycle
Tools Covered: REST API, Python, TensorFlow, Kubeflow, Flask, Kubernetes and Docker
Ethical Issues in Information
Ethical Foundations
Ethics in Data
Ethics in Modelling
Capstone Project - 2
University of Arizona - Master's of Science in Data Science at INSOFE Faculty details
University of Arizona - Master's of Science in Data Science at INSOFE Entry Requirements
- Education: 4 year accredited Bachelor's OR 3 year accredited Bachelor's + Master's OR 3 year accredited Bachelor's + Post Graduate Diploma OR 3 year Bachelor’s by itself provided the degree is at least 120 credits
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