International Executive Program in Data Science

4.5 /5

(2 Ratings)

Offered byDigital Vidya

International Executive Program in Data Science
at
Digital Vidya
Overview

University of St. Thomas is the largest private university in Minnesota, with more than 10,000 undergraduate and graduate students and 110,000+ alumni

Duration	10 months
Total fee	₹1.50 Lakh
Mode of learning	Online
Credential	Certificate

International Executive Program in Data Science
at
Digital Vidya
Highlights

Earn a certificate of completion from University of St. Thomas
28% year on year growth for Data Science jobs
Hands on learning and assignment after every module
Capstone projects like Health care analysis, Natural language processing and more for practical exposure

International Executive Program in Data Science
at
Digital Vidya
Course details

Skills you will learn

Data mining R Python Database management Data Science SAS RDBMS Statistics Data visualization Data analysis

Who should do this course?

For Data science professionals
For Managers/ Executives
For Consultants
For Freshers

What are the course deliverables?

Business Understanding
Data Mining
Data Cleaning
Data Exploration
Feature Engineering
Predictive Modelling
Data Visualization

More about this course

This exponential growth in data has created an urgent need for qualified data scientists to process and analyze data effectively and efficiently
Organizations are increasingly using data science to drive innovation and strategy and to improve efficiencies across functions
The data boost also requires executives and managers who can harness the power of data science tools to gain a business advantage and speak the same language as analysts
A variety of terms related to mining, cleaning, analyzing, and interpreting data are often used interchangeably, but they can actually involve different skill sets and complexity of data
They have business acumen and analytical skills as well as the ability to mine, clean, and present data. Businesses use data scientists to source, manage, and analyze large amounts of unstructured data.

International Executive Program in Data Science
at
Digital Vidya
Curriculum

Get Started with the Program

Understand the flow of the program and officially get started with the 10-months journey of Data Science

Introduction to the learning platform, receive an overview of the program calendar and have the opportunity to introduce yourself to your peers via the discussion forums

Introduction to Data Science

Learn the disruptive business applications of data science including foundational analysis methods, Exploratory Data Analysis using R, etc

Learn ways of using statistical software not only for analyzing data but for using rather complex & cutting edge statistical concepts/techniques

Starting with the Journey in Python Programming

Get started with Python programming using Jupyter Notebook. Learn writing code, exploring python programming syntax, basic libraries, common data types & statements, and debugging

Scientific computing with Python -Numerical Python (NumPy) & Introduction to SAS Enterprise Miner

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open-source numerical Python packages NumPy

Demonstrates how to numerically compute solutions and mathematically model applications in Data Science

Introduction to Panda, Time Series, and Mini Project

With the help of Pandas learn to create fast and efficient Data Frame objects with default and customized indexing

Understand analyses of time series data yields insights like trends, seasonal patterns, and forecasts into future events that can help generate profits

Learn the modification and correction of Source Data in SAS EM Predictive Analysis

Learn aspects of Programming & Get into Predictive Analytics II

Gain an understanding of predictive analytics, how profitable it can be, and how it can enable business initiatives

You will get to know the various aspects of Programming along with a hands-on Milestone project 1

Introduction to Data Visualizations & get to know Power BI Trends

Understand the power of advanced visualizations to persuade and influence audiences for effective communication across diverse sets of stakeholders; explore the physical characteristics of effective visualizations. Get access to 2nd milestone project

Introduction to Tableau & Begin with Fundamentals of Machine Learning

Learn the way of exploring & explaining data to the stakeholders using stunning Visualisations

Various types of visualizations starting from simple bar graphs to word cloud can be explored in Tableau, it is a widely used software in the industry to create Dashboards

Relational Database Management System & Classification

Learn what is RDBMS & How it works. It is the building block of anything in computer science as all the data resides here

Whether it is programming or Data science knowledge of RDBMS is a must

Learn SQL Language & Get Started with Hands-On learning via Capstone Project

Understanding of SQL Language. Get emerged into a real-time project under industry experts-guidance. Successful completion of the project will earn an International Executive Program in Data Science certification from the University of St. Thomas

International Executive Program in Data Science
at
Digital Vidya
Faculty details

Manjeet Rege

Manjeet Rege is a Professor of Graduate Programs in Software and Data Science and Director, Center for Applied Artificial Intelligence at the University of St. Thomas. Dr. Rege is an author, mentor, thought leader, and a frequent public speaker on Big Data, Machine Learning, and Artificial Intelligence technologies.

Ali Naqvi

Ali is an Adjunct Instructor at the University of St. Thomas and is a Director of Software Engineering at the United Health Group. Ali has worked in many roles over the past 20 years including Software Department Manager at Starkey Hearing Technologies, Lead Software Engineer.

Dr. Abe Kazemzadeh

Dr. Abe Kazemzadeh is an Assistant Professor at the University of St. Thomas Graduate Programs in the Software department. His undergraduate interest in linguistics led him to graduate studies in computer science that focused on natural language processing and a career that has included research and software engineering in speech recognition.