In Collaboration with
In Collaboration with

Executive Post Graduate Program In Data Science And Machine Learning

Analytics , Machine Learning

Participation-Certificate
Participation-Certificate
Enrolment closes on 29 Sep, 2022

Want to know more? enquire now

or call us on 9315055746

  • Duration: 12 Months

    Format: Online

  • 30 Sep, 2022

    Start Date

    Batch 1

Enrolment closes on 29 Sep, 2022

Want to know more? enquire now

or call us on 9315055746

About this course

This Data Science and Machine Learning course will help you to apply scientific techniques and advance analytics to pull out useful data and extract required business information. The business information extracted with the scientific methods are then used to take relevant decisions and make strategic plans to execute them. The course also covers programming languages such as Python, SQL, Data Visualization, Tableau, etc.

Read Less

This Data Science and Machine Learning course will help you to apply scientific techniques and advance analytics to pull out useful data and extract required business information. The business information extracted with the scientific methods are then used to take relevant decisions and make strategic plans to execute them. The course also covers programming languages such a... Read More

Get a deeper understanding of

  • Predictive Analytics using Python
  • Data Visualization
  • Machine Learning and Artificial Intelligence
  • Business Problem Solving
Not sure if this is the right course for you?

Speak to Our Expert Get a callback

Key skills you’ll learn

  • Statistics
  • Python
  • Machine Learning
  • Predictive Modelling

Program Starts Soon

Benefits for All Students

Python Programming Essentials, SQL

  • One-on-one Career mentorship Sessions
  • AI Powered Profile Builder
  • Career Bootcamp
  • Doubt Resolution Support

Dedicated SRM support for students throughout the course available 24*7

Learn through real-life industry projects sponsored by top companies across industries

  • Engage in collaborative projects with student-mentor interaction
  • Benefit by learning in-person with expert mentors
  • Personalised subjective feedback on your submissions to facilitate improvement

Designed for working professionals and early career aspirants

Python Programming Essentials, SQL

One-on-one Career mentorship Sessions AI Powered Profile Builder Career Bootcamp Doubt Resolution Support

Dedicated SRM support for students throughout the course available 24*7

Learn through real-life industry projects sponsored by top companies across industries Engage in collaborative projects with student-mentor interaction Benefit by learning in-person with expert mentors Personalised subjective feedback on your submissions to facilitate improvement

Designed for working professionals and early career aspirants

Are You Eligible?

Are You Eligible

Education

The program design and curriculum assume an undergraduate education has been earned by the learner. Associate degree holders can pursue this program. Final year students are also eligible to apply.

Syllabus at a Glance

  • Intro to Program
  • Introduction to DS Landscape
  • Python Programming Essentials I - Variables, Expressions, and Control Statements
  • Python Programming Essentials II - Functions and Data Structures
  • Python Libraries for Data Science - NumPy
  • Python Libraries for Data Science - Pandas
  • Python Assignment
  • Data Analysis using SQL
  • Practical Data Considerations: Data Cleaning and Preparation
  • Course Project: Python
  • Exploratory Data Analysis
  • Visualization in Python
  • Visualisation using Tableau
  • Data Storytelling
  • Visualisation and Storytelling Assignment
  • Inferential Statistics
  • Hypothesis Testing
  • Designing Business Experiments
  • Course Project: Statistics
  • Introduction to Linear Regression in Explanatory & Inferencing Setting
  • Linear Regression in a Predictive Setting
  • Introduction to Classification: Logistic Regression
  • Evaluation methods in Classification Models
  • Model Selection & Practical Consideration around Modelling + KNN
  • Decision Tree Models
  • Assignment
  • Unsupervised Learning: Clustering

Capstone Project 1
 

  • Introduction to Ensemble Models: Random Forest & Boosting
  • Unsupervised Learning: Association Rules Mining (Market Basket Analysis)
  • Introduction to Deep Learning
  • Classification & Regression Models using Neural Networks
  • Introduction to Convolutional Neural Networks
  • Introduction to Natural Language Processing
  • Framework to AI & Business Strategy
  • Modelling on Text data
  • Assignment
  • Executing AI Strategy
  • Advanced Python Programming
  • Advanced SQL
  • Introduction to Time Series
  • Recommender Systems
  • DL in Tf & Optimization (Optional)
  • RNN
  • Applications in CV
  • Assignment

Capstone Project 2

  • Intro to Program
  • Introduction to DS Landscape
  • Python Programming Essentials I - Variables, Expressions, and Control Statements
  • Python Programming Essentials II - Functions and Data Structures
  • Python Libraries for Data Science - NumPy
  • Python Libraries for Data Science - Pandas
  • Python Assignment
  • Data Analysis using SQL
  • Practical Data Considerations: Data Cleaning and Preparation
  • Course Project: Python

  • Exploratory Data Analysis
  • Visualization in Python
  • Visualisation using Tableau
  • Data Storytelling
  • Visualisation and Storytelling Assignment
  • Inferential Statistics
  • Hypothesis Testing
  • Designing Business Experiments
  • Course Project: Statistics

  • Introduction to Linear Regression in Explanatory & Inferencing Setting
  • Linear Regression in a Predictive Setting
  • Introduction to Classification: Logistic Regression
  • Evaluation methods in Classification Models
  • Model Selection & Practical Consideration around Modelling + KNN
  • Decision Tree Models
  • Assignment
  • Unsupervised Learning: Clustering

Capstone Project 1
 

  • Introduction to Ensemble Models: Random Forest & Boosting
  • Unsupervised Learning: Association Rules Mining (Market Basket Analysis)
  • Introduction to Deep Learning
  • Classification & Regression Models using Neural Networks
  • Introduction to Convolutional Neural Networks
  • Introduction to Natural Language Processing
  • Framework to AI & Business Strategy
  • Modelling on Text data
  • Assignment
  • Executing AI Strategy

  • Advanced Python Programming
  • Advanced SQL
  • Introduction to Time Series
  • Recommender Systems
  • DL in Tf & Optimization (Optional)
  • RNN
  • Applications in CV
  • Assignment

Capstone Project 2

Learn from the Best Faculty

About The Institute

University of MaryLand

The University of Maryland, College Park is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 40,700 students, 14,000 faculty and staff, and nearly 400,000 alumni all dedicated to the pursuit of Fearless Ideas. Located just outside Washington, D.C., we discover and share new knowledge every day through our renowned research enterprise and programs in academics, the arts and athletics. And we are committed to social entrepreneurship as the nation’s first “Do Good” campus.The University of Maryland traces its history to 1856, when the General Assembly chartered a state agricultural school. It eventually grew to encompass new disciplines in engineering, science and the liberal arts.Today, the university is a national powerhouse in research, academics, the arts and athletics, committed to embracing diversity in its campus community of 50,000. UMD strives to empower students, faculty and staff to take sustainable steps by bringing local and global systems into balance, redesigning processes to conserve resources, and experimenting with novel sustainable practices.

Fee Structure for

Instalment Schedule

Instalment 1
INR 21187 + GST Due by: 29 Sep, 2022
Instalment 1
USD 0 Due by: 29, Sep, 2022
Instalment 2
INR 190678 + GST Due by: 06 Oct, 2022
Instalment 2
USD 0 Due by: 06, Oct, 2022
OR
Pay for Total Amount
INR 211865 + GST Due by: 29, Sep, 2022
Pay for Total Amount
USD 0 Due by: 29, Sep, 2022

Financial Aid

To learn more about financing your course, visit the course Financial Resources Hub

Why Should You Join a Program Offered Through Talentedge?

  • 95% Completion Rate
  • 92% Satisfaction Score
  • 78% Referablity
  • Online Learning Format
  • For Working Professionals
  • One on one interactions
  • Loan Assistance with no cost EMI

Program Starts Soon

This Data Science and Machine Learning course will help you to apply scientific techniques and advance analytics to pull out useful data and extract required business information. The business information extracted with the scientific methods are then used to take relevant decisions and make strategic plans to execute them. The course also covers programming languages such as Python, SQL, Data Visualization, Tableau, etc.

close

Ask a Question

The answer to your question will be mailed to this email id.

Trending Questions

Thank You.

We will write back to you on you email id in less than 24 hrs