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Post Graduate Program in Data Science and Machine Learning
Learn about the concepts and applications of data science and machine learning through the Master's Program in Data Science and Machine Learning Course.
Online
24 Weeks
Quick facts
particular | details | ||
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Learning efforts
40-50 Hours Per Week
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Course overview
The Master's Program in Data Science and Machine Learning Online Course is 24 weeks long course that focuses on the concepts and techniques of data science and machine learning. This Master's programme taught by experts aims to explore the role of data-driven strategies in the modern digital world.
The Master's Program in Data Science and Machine Learning Certification Course is suitable for students interested in the domains of computer science and computer science engineering. The programme constitutes 6 main courses that delve deep into the theoretical and practical applications of machine learning and data science.
After the successful completion of the Master's Program in Data Science and Machine Learning Live Course, learners will receive a course certificate. Candidates have the option to attend demo sessions of the course from technical specialists before deciding to enroll.
The highlights
- Merit certificate
- 24 weeks duration
- Course videos
- Expert instructors
- Project portfolio page
- Flexible course fees
- One-one zoom support sessions
- Group zoom support sessions
- Email and telephone support
- Course-specific forum group
- Industry oriented projects
- Case studies
- 1-on-1 demo session
- Course counselling
- Personalized hands-on support from expert engineers
Program offerings
- Merit certificate
- Individual video support
- Group video support
- Email support
- Forum support
- Telephone support
- Professional portfolio
- Technical projects
- 1-on-1 demo session
- Course counselling
- 24 weeks duration
Course and certificate fees
The Master's Program in Data Science and Machine Learning Course fee comes in three packages wherein all of them will provide learners with a certificate of completion. You can choose the package according to their specifications. The Basic Course will amount to Rs. 17,500 per month for 10 months and the Pro Course fee will be Rs. 22,500 per month for 10 months. The Premium package that offers lifetime access has a fee of Rs. 27,500 per month for 10 months.
Master's Program in Data Science and Machine Learning Course Fee Structure
Description | Amount in INR | Access duration |
Master's Program in Data Science and Machine Learning - Basic | Rs. 17,500 per month for 10 months | 9 months |
Master's Program in Data Science and Machine Learning - Pro | Rs. 22,500 per month for 10 months | 18 months |
Master's Program in Data Science and Machine Learning - Premium | Rs. 27,500 per month for 10 months | Lifetime |
certificate availability
certificate providing authority
What you will learn
After completing the Master's Program in Data Science and Machine Learning Classes, you will gain insights into the following topics:
- Basic concepts of Machine Learning and Artificial Intelligence
- Basics of SQL
- Data analysis on large datasets
- Basics of Python Programming
- Basics of Data Science
- Machine Learning Techniques
- Basics and advanced concepts of Deep Learning
Who it is for
The course can be opted by anyone interested in learning about data science and machine learning.
Admission details
Follow the steps below to enroll in the Master's Program in Data Science and Machine Learning Online Course:
Step 1: Go to the official website by clicking on the URL given below -
https://skill-lync.com/computer-science-engineering-courses/masters-program-data-science-machine-learning
Step 2: Click on the "Enroll Now" option provided on the course page.
Step 3: Select a suitable payment package and unlock access by submitting your name, email id and phone number.
The syllabus
Math behind Machine Learning & Artificial Intelligence using Python
SQL for DataScience
- Introduction
- Database Creation, Manipulation
- Database Selection
- Database Selection
- Database Selection
- Querying Multiple Tables
- Data Exploration
- Index, View, Transaction
- Querying With Conditions
- Stored Procedures
- Integrating Sql With Excel
- Integrating Sql With Python
Core and Advanced Python Programming
- Introduction To Python, Python Basics
- Strings, Decision Control Statements
- Repetition Statements, Console Input-Output
- Lists, Tuples, Sets, Dictionary
- Functions And Recursion, Functional Programming And Lambda Functions
- File Input-Output, Modules
- Classes And Objects
- Exception Handling, Iterators And Generators
- Data Analysis With Pandas
- Numeric And Scientific Computing Using Numpy
- Graphical User Interfaces With Tkinter
- Interacting With Databases
Machine Learning for Electrical Engineers using Python
- Introduction To Data Science And Programming Languages (Tools) For Data Science
- Basics Of Programming
- Essential Python Libraries
- Introduction To Machine Learning Cross- Validation And Bias Variance Tradeoff
- Evaluation Metrics
- Importing Data And Hands On Imported Data
- Univariate And Multivariate Linear Regression
- Principal Component Analysis
- Logistic Regression And K-Nearest Neighbor
- Decision Tree And Random Forest
- K-Mean And Hierarchical Clustering
- Neural Network
Machine Learning & Artificial Intelligence for Mechanical, Civil & EE Engineers using Python
- Basics Of Probability And Statistics
- Basics Of Ml & Ai
- Supervised Learning - Prediction
- Supervised Learning - Classification
- Supervised Learning - Classification
- Random Forest & Model Evaluation
- Supervised Learning - Classification
- Supervised Learning - Classification
- Unsupervised Learning - Kmeans
- Unsupervised Learning - Hierarchical
- Unsupervised Learning - Pca
- Supervised Learning - Classification
Advanced Deep Learning
- Artificial Neural Network (Feed Forward Neural Network)
- Activation Functions In Neural Networks
- Deep Learning
- Valuation Of Models
- Improvise The Model
- Optimizers
- Cnn-1
- Cnn-2
- Rnn-1
- Rnn-2
- Basics Of Nlp
- End-To-End Ml Project Steps
How it helps
The Master's Program in Data Science and Machine Learning Certification Benefits are listed here:
- Through the course, learners will get to learn about the fundamental concepts and techniques of data science and machine learning.
- Learners will be introduced to industry specific applications of data science by experienced tutors.
- After completion of this certification course, learners will be able to build their careers as data analysts or data scientists.
FAQs
The course can be completed within 8 months duration.
No, the Master's Program in Data Science and Machine Learning Training Course does not offer placement assistance to learners.
The Master's Program in Data Science and Machine Learning Online Course can be accessed on the Skill-Lync platform.
No, you need to choose one payment package to attend the course.
Yes, candidates can request for a course demonstration before enrolling.