ColumbiaX - Executive programme in Data Science (EPDS)
- Offered byHughes Global Education
ColumbiaX - Executive programme in Data Science (EPDS) at Hughes Global Education Overview
Duration | 6 months |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
ColumbiaX - Executive programme in Data Science (EPDS) at Hughes Global Education Highlights
- Earn a certificate from ColumbiaX
- Live labs and tutorials assistance by Industry experts powered by Hughes Global Education
- Live Capstone Project
- 201 Hours - 105 Hours of ColumbiaX on edX platform; 96 IOL Hours of Live labs and tutorial assistance
ColumbiaX - Executive programme in Data Science (EPDS) at Hughes Global Education Course details
- The history of data science, tangible illustrations of how data science and analytics are used in decision making across multiple sectors today, and masters opinion on what the future might hold
- A practical understanding of the fundamental methods used by data scientists including; statistical thinking and conditional probability, machine learning and algorithms, and effective approaches for data visualization
- The major components of the Internet of Things (IoT) and the potential of IoT to totally transform the way in which we live and work in the not-to-distant future
- How data scientists are using natural language processing (NLP), audio and video processing to extract useful information from books, scientific articles, twitter feeds, voice recordings, YouTube videos and much more
- Industry Roles in Data Science: Training in data science and analytics creates a pathway to jobs like Software Developer, Systems Engineer, Network Engineer, and Systems Administrator.
- Data is the fuel of the 21st century. Executive Programme in Data Science is a unique program delivered in two parts
- Part A- Data Science for Executives Professional Certificate Program from ColumbiaX on edX.org
- You will gain insight into the latest data science tools and their application in finance, health care, product development, sales and more. With real-world examples, we will demonstrate how data science can improve corporate decision-making and performance, personalize medicine and advance your career goals.
- Comprising of module 1, 2, & 3 will be taught by a distinguished team of professors at Columbia University Data Science Institute, this program is perfect for anyone who wants to understand basic concepts in data science without getting into the weeds of programming.
- Part B- Live labs and tutorials assistance by experts powered by Hughes Global Education
- Additional learner support from Hughes Global Education will enable practical application and understanding on successful completion of the modules by ColumbiaX.
- Aimed at organization leaders, business managers, health care professionals and anyone considering a career in data science, this program will provide learners in the fundamentals of statistics, machine learning, and algorithms. It will also introduce emerging technologies such as the Internet of Things (IoT), or wirelessly connected products, and techniques that allow computers to summarize mountains of text, audio, and video.
ColumbiaX - Executive programme in Data Science (EPDS) at Hughes Global Education Curriculum
Module 1: Statistical Thinking for Data Science and Analytics
Learn how statistics plays a central role in the data science approach.
Introduction to Data Science
Statistical Thinking
Numerical Data, Summary Statistics
Different Types of Biases
Introduction to Probability
Introduction to Statistical Inference
Association and Dependence
Association and Causation
Conditional Probability and Bayes Rule
Simpsons Paradox, Confounding
Introduction to Linear Regression
Special Regression Models
Exploratory Data Analysis and Visualization
Goals of statistical graphics and data visualization
Graphs of Data & Fitted Models
Introduction to Bayesian Modelling
Bayesian inference
Bayesian hierarchical modelling
Bayesian modelling for Big Data
Module 2: Machine Learning for Data Science and Analytics
Learn the principles of machine learning and the importance of algorithms
Learn the principles of machine learning and the importance of algorithms Introduction to Algorithms and Machine Learning
Tools to Analyse Algorithms
Algorithmic Technique: Divide and Conquer
Divide and Conquer Example: Investing
Randomization in Algorithms
Graphs
Some Ideas Behind Map Searches 1
Application of Algorithms: Stable Marriages Example
Dictionaries and Hashing
Search Trees
Dynamic Programming
Application to Personal Genomics
Linear Programming
NP-completeness
Introduction to Personal Genomics
Massive Raw Data in Genomics
Data Science on Personal Genomes
Machine Learning
Algorithms in Machine Learning
Classifiers
Model Selection
Cross Validation
Machine Learning Application: Introduction to Probabilistic Topic Models
Probabilistic Modelling
Topic Modelling
Probabilistic Inference
Prediction of Preterm Birth
Data Description and Preparation
Methods for Prediction of Preterm Birth
Relation Between Machine Learning and Statistics
Module 3: Enabling Technologies for Data Science and Analytics: The Internet of Things
Discover the relationship between Big Data and the Internet of Things (IoT).
Internet of Things
Wireless Communications
Wireless Standard
Networks for IoT
Securing IoT Networks
Networking: IoT
Embedded Systems
Interfacing with the Physical World
Energy Harvesting
Ultra Low Power Computing in VLSI
Hardware for Machine Learning
Application: Cloud Robotics
IoT Economics
Intersection of Language and Data Science
NLP
Tagging Problems, and Long-linear Models
Syntax and Parsing
Machine Translation
Audio, Video and Image Processing
Speech and Data Science
Speech Production and Perception
Recording Speech for Analysis
Exploration of Images, Videos, and Multimedia in Large Data Applications
Review of Large-Scale Visual Search and Recognition Techniques
Module 4:Live labs and tutorials assistance by experts powered by Hughes Global Education
Additional Learner Support by HGEIL through Renowned Industry and Subject Matter Experts
Data Science as a Catalyst between Technology and Business
Career Roadmap : Data Engineer and Data Scientist
Distribution Theory, Supervised & Unsupervised Learning, Data Mining
Data Governance and Security
Fundamentals of R Programming and Tableau
Fundamentals of Python and SPARK
Application of Data Science in Consumer Analytics in various Industry Segments
IT, ITeS and Insurance
Banking and Financial Services
Pharmaceutical and Healthcare
Automobiles
Retail
Manufacturing
Big Data Strategy, policy and proxy data use
Communicating Effectively Through Data : Data Science Through Storytelling
ColumbiaX - Executive programme in Data Science (EPDS) at Hughes Global Education Entry Requirements
- Applicant must have an undergraduate degree (Maths) with 0-2 years of work experience.
- Also applicable to students in the pre-final year of graduation (Maths).
- Qualifying entrance exam on Mathematics, English and Computer Programming (Class XII level)
- Not mentioned
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