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Data Science and Machine Learning: Making Data-Driven Decisions 

  • Offered byGreat Learning
  • Private Institute

Data Science and Machine Learning: Making Data-Driven Decisions
 at 
Great Learning 
Overview

Gain foundational concepts for data science that form the building blocks of the course and will help you sail through the rest of the journey with ease

Duration

12 weeks

Total fee

1.60 Lakh

Mode of learning

Online

Official Website

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Credential

Certificate

Future job roles

Data Analyst, Data Scientist
Data Science and Machine Learning: Making Data-Driven Decisions
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum
  • Faculty
  • + 1 more item

Data Science and Machine Learning: Making Data-Driven Decisions
 at 
Great Learning 
Highlights

  • Earn a certificate from the MIT schwarzman college of computing and IDSS
  • Exclusive discounts on current and future IDSS online course offerings
  • Personalized mentorship and support
  • Work on 3 industry-relevant hands-on projects and 50+ case studies.
  • Fee can be paid in instalments
Read more
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Data Science and Machine Learning: Making Data-Driven Decisions
 at 
Great Learning 
Course details

Skills you will learn
Who should do this course?

Data scientists

Data analysts, and professionals who wish to turn large volumes of data into actionable insights

Early career professionals and senior managers, including Technical managers, Business intelligence analysts, IT practitioners, Management consultants, and Business managers

Those with some academic/ professional training in applied mathematics/ statistics. Participants without this experience will have to put in extra work and will be provided support by Great Learning

More about this course

The Data Science and Machine Learning Program has been carefully crafted by MIT faculty to provide you with the skills & knowledge to apply data science techniques to help you make data-driven decisions

Encompass the most business-relevant technologies, such as Machine Learning, Deep Learning, NLP, Recommendation Systems, ChatGPT, Generative AI and more

Data Science and Machine Learning: Making Data-Driven Decisions
 at 
Great Learning 
Curriculum

Foundations - Python and Statistics

Python for Data Science
Statistics for Data Science
 
Making Sense of Unstructured Data
Introduction
Clustering
Spectral Clustering, Components, and Embeddings
 
Regression and Prediction
Classical Linear and Nonlinear Regression and Extensions
Modern Regression with High-Dimensional Data
The Use of Modern Regression for Causal Inference
 
Classification and Hypothesis Testing
Hypothesis Testing and Classification
Project 2
 
Deep Learning
Deep Learning
 
Recommendation Systems
Recommendations and Ranking
Collaborative Filtering
Personalized Recommendations
Project 3
 
Networking and Graphical Models
Introduction
Networks
Graphical Models
 
Faculty Icon

Data Science and Machine Learning: Making Data-Driven Decisions
 at 
Great Learning 
Faculty details

Munther Dahleh
Program Faculty Director, MIT Institute for Data, Systems, and Society (IDSS)
John N. Tsitsiklis
Clarence J. Lebel Professor, Dept. of Electrical Engineering & Computer Science (EECS) at MIT

Data Science and Machine Learning: Making Data-Driven Decisions
 at 
Great Learning 
Admission Process

    Important Dates

    Apr 24, 2025
    Application Submit Date

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    Data Science and Machine Learning: Making Data-Driven Decisions
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    Great Learning 

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