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📊 Master's in Data Science

4.8 ( 500+) reviews

🚀 Program Highlights

  • 500+ Practical Problems: Enhance your expertise with extensive hands-on practice.
  • Flexible Weekday & Weekend Batches: Adapt your learning to your schedule.
  • 24×7 Live Doubt Support: Continuous access to help whenever needed.
  • 100% Live Classes Over 7-9 Months: Engage with instructors in real-time.
  • Ideal for Working Professionals & Students: Designed to fit into a busy lifestyle.
  • 10+ Case Studies and Projects: Gain practical experience with real-world applications
Placement Assistance
Course Syllabus
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💸 Program Fees

NO COST EMI Option Available *Offer valid till 25th October 2024

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Batch Starts from

07th December, Saturday
09th December, Monday

📘 Program Overview

The Master’s in Data Science program provides a comprehensive education in data science, equipping you with both foundational knowledge and advanced skills. You will learn to collect, analyze, and interpret complex data, using these insights to drive strategic decision-making and innovation in any organization.

⏳ Duration: 10-12 months
💻 Format: Online, Self-paced with Live Sessions

✨ Course Features:

🏷️ Data Mining and Warehousing
🔮 Predictive Analytics
📊 Statistical Inference and Modeling
🤖 Machine Learning Algorithms
📈 Data Visualization

🔑 Benefits:

🎓 Earn a globally recognized certification
🌍 Gain skills applicable to multiple industries
🚀 Fast-track your career growth

Expert Instructors

Learn from industry leaders and experienced professionals who bring real-world insights into the virtual classroom. Gain practical knowledge that you can apply immediately in your career.
  • 📹 Engaging Video Lectures
  • 🔄 Full Lifetime Access
  • 📱 Access on Mobile, Tablet, and TV
  • 🎓 Certificate of Completion
  • 📝 Interactive Quizzes
  • 📥 Downloadable Resources
  • 👩‍🏫 Expert-Led Instruction
  • 🌐 Community Support

🏆 Master’s Certification Program Designed in Collaboration with

📚 Students Enrolled
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💼 Job Placement
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📚 Master's in Data Science Courses Curriculum

  • What is Data Science?
  • Roles and Responsibilities of a Data Scientist
  • Data Science Project Lifecycle
  • Overview of Tools and Technologies in Data Science
  • Understanding Data (Structured, Semi-structured, Unstructured)
  • Basics of Data Mining
  • Introduction to Python for Data Science
  • Python Libraries for Data Science: NumPy, Pandas, Matplotlib, Seaborn
  • Data Manipulation with Pandas
  • Data Cleaning and Preparation
  • Data Visualization with Matplotlib and Seaborn
  • Handling Large Datasets with Python
  • Descriptive Statistics
  • Probability Theory and Distributions
  • Inferential Statistics
  • Hypothesis Testing
  • ANOVA (Analysis of Variance)
  • Correlation and Regression Analysis
  • Data Wrangling Techniques
  • Handling Missing Data
  • Data Transformation
  • Feature Engineering
  • Exploratory Data Analysis (EDA)
  • Advanced Data Visualization Techniques
  • Introduction to Machine Learning
  • Supervised Learning vs. Unsupervised Learning
  • Linear Regression
  • Logistic Regression
  • Decision Trees and Random Forests
  • K-Nearest Neighbors (KNN)
  • Support Vector Machines (SVM)
  • Clustering Techniques (K-Means, Hierarchical Clustering)
  • Dimensionality Reduction (PCA, LDA)
  • Introduction to Deep Learning
  • Neural Networks Basics
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Introduction to TensorFlow and Keras
  • Building and Training Deep Learning Models
  • Introduction to NLP
  • Text Processing Techniques
  • Tokenization, Stemming, and Lemmatization
  • Bag of Words, TF-IDF
  • Sentiment Analysis
  • Topic Modeling
  • Working with Text Data using NLTK and spaCy
  • Introduction to Jupyter Notebooks and Google Colab
  • Overview of R Programming for Data Science
  • SQL for Data Science
  • Working with Big Data Tools (Hadoop, Spark)
  • Introduction to Cloud Services for Data Science (AWS, GCP, Azure)
  • Ensemble Learning (Bagging, Boosting)
  • Model Evaluation and Improvement Techniques
  • Hyperparameter Tuning
  • Cross-Validation Techniques
  • Time Series Analysis and Forecasting
  • Recommender Systems
  • Defining a Data Science Problem
  • Data Collection and Preparation
  • Model Building and Evaluation
  • Deploying a Machine Learning Model
  • Project Presentation and Review
  • Best Practices in Data Science
This syllabus covers a comprehensive range of topics, from foundational concepts to advanced techniques in Data Science.

✨ Master's in Data Science Course Features

💻 Programming Languages & Tools Covered

Gain hands-on experience with essential programming languages and tools critical for achieving success and delivering measurable results in real-world applications

🏆 Industry-Recognized Certificates: Best Data Science Certifications

Our comprehensive training program features real-world projects and highly valuable case studies, providing you with practical, hands-on experience. These certifications are globally recognized, opening doors to opportunities worldwide by showcasing your expertise and skills

💼 Career Support

We are committed to helping you achieve your career goals. Our comprehensive career support services include:

Placement Support

Receive job calls through our network of 500+ hiring partners, alumni, and mentors.

Resume Building

Craft a professional resume that effectively highlights your skills, experience, and accomplishments.



Interview Preparation

Participate in 1:1 mock interviews with industry experts tailored to the roles you're targeting. Get expert tips, personalized feedback, and practice sessions to help you excel.

Personal Branding

Enhance your personal brand with a thorough resume review and optimized LinkedIn and Naukri profiles to attract recruiters and showcase your professional accomplishments.

Networking Opportunities

Gain access to exclusive events, webinars, and industry meetups to expand your professional network and create valuable connections.

Career Counseling

Receive one-on-one guidance from career coaches to help you navigate your career path, make informed decisions, and set achievable goals.


Skill Development Workshops

Participate in workshops that focus on developing in-demand skills, ensuring you remain competitive in the job market.

Industry Insights and Trends

Providing up-to-date information about industry trends and job market changes to keep individuals informed and prepared.

Soft Skills Training

Develop the essential soft skills needed to excel in behavioral and leadership interviews, ensuring you’re well-prepared for any situation.

Exponential Career Growth

It’s time to accelerate your career growth. Limited seats are available—enroll now and take advantage of our early-bird discounts!

Job Placement Assistance

Connect with our network of industry partners to explore job opportunities tailored to your career aspirations.

LinkedIn Profile Optimization

Optimize your LinkedIn profile to attract recruiters and showcase your professional brand effectively.


Placement Support

Receive job calls through our network of 500+ hiring partners, alumni, and mentors.

Resume Building

Craft a professional resume that effectively highlights your skills, experience, and accomplishments.



Interview Preparation

Participate in 1:1 mock interviews with industry experts tailored to the roles you're targeting. Get expert tips, personalized feedback, and practice sessions to help you excel.

Personal Branding

Enhance your personal brand with a thorough resume review and optimized LinkedIn and Naukri profiles to attract recruiters and showcase your professional accomplishments.

Networking Opportunities

Gain access to exclusive events, webinars, and industry meetups to expand your professional network and create valuable connections.

Career Counseling

Receive one-on-one guidance from career coaches to help you navigate your career path, make informed decisions, and set achievable goals.


Skill Development Workshops

Participate in workshops that focus on developing in-demand skills, ensuring you remain competitive in the job market.


Industry Insights and Trends

Providing up-to-date information about industry trends and job market changes to keep individuals informed and prepared.

Soft Skills Training

Develop the essential soft skills needed to excel in behavioral and leadership interviews, ensuring you’re well-prepared for any situation.

Exponential Career Growth

It’s time to accelerate your career growth. Limited seats are available—enroll now and take advantage of our early-bird discounts!

Job Placement Assistance

Connect with our network of industry partners to explore job opportunities tailored to your career aspirations.


LinkedIn Profile Optimization

Optimize your LinkedIn profile to attract recruiters and showcase your professional brand effectively.


🌍 Our alumni excel worldwide, contributing their expertise to 500+ leading companies

🌟 Master's in Data Science Career Success Stories: Inspiring Journeys from the Field

Learnguru360 FAQs for the "Master's in Data Science”

  • No specific prerequisites are required. However, a basic understanding of programming, mathematics, and statistics is beneficial. The course is designed to cater to both beginners and professionals looking to upskill.
  • While a background in statistics or programming is helpful, the course is designed for beginners and provides foundational modules to get you started.
  • The course is divided into multiple modules covering including Python programming, data manipulation with Pandas, machine learning algorithms, deep learning, data visualization, big data tools, and more. The curriculum is designed to equip you with the skills needed for a successful career in data science.
  • Learnguru360 offers 24/7 support through a dedicated mentor team, regular live Q&A sessions, peer-to-peer discussions, and access to a community forum. Personalized feedback on assignments is also provided.
  • Yes, the course includes several industry-relevant projects that help you apply the concepts learned. These projects are designed to give you hands-on experience with real-world data and scenarios, preparing you for a career in data science.
  • You’ll work on real-world projects like predictive modeling, clustering analysis, and data visualization, which will help you build a robust portfolio to showcase to potential employers.
  • Yes, upon successful completion of the course, you will receive an industry-recognized certification from Learnguru360. This certificate is a testament to your expertise and can enhance your job prospects in the data science field.
  • Learnguru360 offers extensive career support, including resume building, interview preparation, and job placement assistance. Our network of industry partners and alumni can also help you connect with potential employers.
  • The course is delivered online through video lectures, live sessions, interactive quizzes, and hands-on projects. You’ll also have access to downloadable resources and mentoring support.
  • Graduates can pursue roles such as Data Scientist, Data Analyst, Business Intelligence Analyst, or Machine Learning Engineer. Learnguru360 provides job placement support to help you transition into these roles.

🚀 Let’s Get Started

Creating an exceptional candidate experience starts with setting clear expectations from the beginning. Our application process is designed to be straightforward, with a detailed, step-by-step guide to support you throughout your journey.

📝 Apply for the Program | ✅ Qualification Check | 🗣️ Session With Mentor | 📑 Enrollment Process

🌟 Start Getting New Knowledge and Experience, Together!

Take the first step towards a successful career in data science. Enroll in the Master’s in Data Science program at Learnguru360 today and start your journey to becoming a data science expert.

🖊️ Enroll Now

Learnguru360 is a popular online learning platform that offers top-tier Master’s Certification programs and live training sessions. We provide self-paced courses complemented by one-on-one live doubt-solving and personal mentorship. Our unique approach includes gamifying the learning experience, motivating students with rewards to encourage course completion and engagement.

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