Master's (MS) in Data Science by College De Paris

Master's (MS) in Data Science by College De Paris

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Expand their proficiency in Data Science | Learn from top-tier curriculum that sets the standard in the field of data science | With special focus on Machine Learning techniques used for regression, classification and clustering.

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27 Apr 2024

Learning Period

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Accreditations & Affiliations

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There's a reason that 95% of our alumni undertake 3+ courses as a minimum with Henry Harvin®

Know the complete offerings of our Master's (MS) in Data Science by College De Paris

Key Highlights

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192 Hours of Instructor-Led Sessions
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64 Hours of Live Interactive Doubt Solving Sessions
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32 Hours of Live Master Sessions by Industry Experts
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288 Hours Self Paced Learning
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288 Hours Hands on with Cloud Labs
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Job-Ready Portfolio of 20 Capstone Projects
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32 Auto-Graded assessments
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40 + Industry Case Studies
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192 Guided Hands-On Exercises
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20 + Assignments and Mini Projects
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3 Mock Interviews 4 Hackathons
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Get 10 Gold Membership of Henry Harvin® Data Science & Analytics Academy
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Get a guaranteed Internship with Henry Harvin® and in top MNC's like J.P. Morgan, Accenture & many more via Forage.
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Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting
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Earn Certification of Course from Henry Harvin®, Govt of India recognized & Award-Winning Institute and NSDC Certification.

Our Placement Stats

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Average salary hike

2100+

Access the best jobs in industry

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Maximum salary hike

Access the best jobs in the industry

You Get 10-In-1 Program

Two-way Live Training Course

Two-way Live Online Interactive Classroom Sessions

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Certification

Distinguish your profile with global credentials and showcase expertise with our Hallmark Completion certificate

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Projects

Facility to undergo various projects along with the course.

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Guaranteed Internship

Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage.

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Placement

Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting

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Student Engagement & Events

Free Access to #AskHenry Hackathons and Competitions & many other facilities from Henry Harvin®

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Masterclass

Access to 52+ Masterclass Sessions for essential soft skill development

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Membership

Get Free Gold Membership of Henry Harvin®

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E-Learning Access

Free access to the E-learning Portal and future updates. Get access to PPTs, Projects, Quizzes, self-paced Video-based learning, a question bank, a library, practice tests, final assessment, a forum, and doubt sessions.

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Entrepreneurship Mentorship

Mentorship from Young Successful Entrepreneurs to set up a sustainable & scalable Business from scratch at both Freelance and entrepreneur levels

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About the Master's (MS) in Data Science by College De Paris

What is Master's (MS) in Data Science by College de Paris?

Data science is an interdisciplinary field that uses methods and theories from mathematics, statistics, computer science, domain knowledge, and information science. The Master's (MS) in Data Science by College de Paris at Henry Harvin® has been designed to build a distinctive career in analytical and leadership roles in various sectors. With a perfect blend of machine learning, big data analytics, and statistics, the program helps to gain experience in solving problems with real-world data.

This course equips learners with all the conceptual and technical skills required for the ultimate position in the analytics industry. It introduces the learner to business analytics using the most in-demand analytics technologies like R and Python and teaches the implementation of various data science concepts such as data exploration, visualization, and hypothesis testing.

10 in 1 Program

  • Classes: 9 months of Two-Way Live Online Interactive Sessions
  • Projects: Facility to undergo projects in artificial intelligence, tableau & more
  • Internship: Get Internship Support to gain experiential learning
  • Certification: Get course completion Certification of Master's (MS) in Data Science by College de Paris, a recognized and award-winning Institute, and showcase expertise
  • Placement: 100% Placement Support for 1 Year post successful completion of the course
  • E-Learning: Free access to E-learning Portal and future updates
  • Masterclass: Access to 52+ Masterclass Sessions for essential soft skill development
  • Hackathons: Free Access to #AskHenry Hackathons and Competitions
  • Membership: 1-Year Gold Membership of Henry Harvin® Data Science & Analytics Academy for the Master's (MS) in Data Science by College de Paris
  • Entrepreneurship Mentorship: Mentorship from Young Successful Entrepreneurs to set up a sustainable & scalable Business from scratch at both the freelance and entrepreneur level.

Faculty at Henry Harvin®

  • Most respected industry experts with 15+ years of working experience and recognized by numerous organizations over the years for their work
  • They have delivered 450+ keynote classes for the Diploma in Data Science by College de Paris
  • Have delivered 500+ lectures and are currently empaneled as domain experts with Henry Harvin® Data Science & Analytics Academy

Recognitions of Henry Harvin® Education

  • Winner of Top Corporate Training Award, Game-Based Learning Company of the under 40 Business World Award
  • Affiliated with American Association of EFL, Ministry of Corporate Affairs, MSME, UKAF, UKCert, Project Management Institute (PMI), and ISO 29990:2010 certified
  • Reviews: 3425+ Google Reviews, 1100+ Youtube Testimonials with 4.5+ Rating Rated on Goabroad, Trustpilot, GoOverseas & more

Alumni Status

Become a part of the Elite Data Science & Analytics Academy of Henry Harvin® and join the 4,60,000+ large Alumni Network Worldwide.

Gold Membership Benefits

  • Avail 1-Year Gold Membership of Henry Harvin® Data Science & Analytics Academy that includes E-Learning Access through recorded Videos, Games, Projects, CPDSPe Studies
  • Access to Masterclass Sessions
  • Earn the Prestigious Henry Harvin®️ Alumni Status and become one of the reputed 3,00,000+ Alumni across the globe.
  • Guaranteed Internship with Henry Harvin®️ or partner firms
  • Weekly 10+ job opportunities offered.
  • Experience Industry Projects during the classes

Learning Benefits

  • Access to E-Learning Portal
  • Learn from the latest Industry trend Curriculum
  • Earn globally recognized Certification
  • Delve into essential Topics like Python, R, ML, Data Visualization, Generative AI, Explainable AI, ChatGPT, etc. 
  • Analyze and interpret data using an ethically responsible approach
  • Use appropriate models of analysis, assess the quality of input, derive insight from results, and Investigate potential issues
  • Apply computing theory, languages, and algorithms, as well as mathematical and statistical models, and the principles of optimization to appropriately formulate and use data analyses
  • Formulate and use appropriate models of Data analysis to solve hidden solutions to business-related challenges
  • Interpret data findings effectively to any audience, orally, visually, and in written formats
  • On completion of the course, become eligible for various Job Roles

Know the complete offerings of our Master's (MS) in Data Science by College De Paris

Master's (MS) in Data Science by College De Paris Curriculum

  • Module 1: SQL

    In this module the candidate will learn about concepts of SQL, which includes understanding JOIN, String functions etc.
    • SQL Overview
    • SQL Manipulation
    • JOIN; Inner, Left, Right, Full Outer, and Cross JOIN
    • String Functions
    • Mathematical Functions
    • Date-Time Functions
    • Hunting Tips
    • Case Study
    • Project

  • Module 2: Power BI

    In this module the candidate will learn about Power BI Concepts such as Power Query, Data Modelling, Reporting etc.
    • Business Intelligence (BI) Concepts
    • Microsoft Power BI (MSPBI) Introduction
    • Connecting Power BI with Different Data Sources
    • Power Query for Data Transformation
    • Data Modelling in Power BI
    • Reports in Power BI
    • Reports & Visualization Types in Power BI
    • Dashboards in Power BI
    • Data Refresh in Power BI
    • End to End Data Modelling & Visualization
    • Case Study
    • Project

  • Module 3: Python Programming

    In this module the candidate will learn about the major concepts of Python Programming
    • Python Basics
    • Python Programming Fundamentals
    • Python Data Structures
    • Working with Data in Python
    • Working with NumPy Arrays
    • Case Study
    • Project
    • Dataset

  • Module 4: R Programming

    In this module the candidate will learn about the major concepts of R programming
    • R Basics
    • R Programming Fundamentals
    • Data Structures in R
    • Working with Data in R
    • Handling Data in R
    • Case Study
    • Project

  • Module 5: CRISP ML(Q)

    In this module the candidate will learn about the concept of Project Management using CRISP ML(Q)
    • Project Management Methodology
    • Case Study

  • Module 6: Data Types and Data Processing

    In this module the candidate will learn about the Data types and its processing.
    • Nominal, Ordinal,Interval, Ratio, Data Cleaning techniques
    • Case Study
    • Project
    • Dataset

  • Module 7: Statistics

    In this module the candidate will learn about the statistics and its types.
    • Descriptive,Inferential, Hypothesis Testing
    • Case Study
    • Project

  • Module 8: EDA

    In this module the candidate will learn about the EDA, Business moments and features about engineering.
    • Business moments, Graphical representation, Feature Engineering
    • Case Study
    • Project
    • Dataset

  • Module 9: Mathematical Foundation

    In this module the candidate will learn about the Mathematical foundation which includes understanding optimization, linear algebra etc.
    • Optimization, Derivatives, Linear Algebra, Matrix Operations
    • Case Study
    • Project

  • Module 10: Clustering

    In this module the candidate will learn about the clustering, its types and function.
    • Hierarchical Clustering, K Means Clustering
    • Case Study
    • Project
    • Dataset

  • Module 11: Dimension reduction

    In this module the candidate will learn about the concept of Dimension reduction.
    • PCA,SVD
    • Case Study
    • Project
    • Dataset

  • Module 12: Association Rules

    In this module the candidate will learn about the Association rules, terminologies used, performance measures and many more.
    • Market Basket Analysis, Association Rules Intuition, Association Rules Applications, Association Rules Terminology Association Rules Performance Measures
    • Case Study
    • Project

  • Module 13: Recommendation Engine

    In this module the candidate will learn about the Recommendation engine and its functions.
    • Intro to personalized strategy, similarity measures, user-based collaborative filtering, item-to-item collaborative filtering, recommendation engine vulnerabilities
    • Case Study
    • Project
    • Dataset

  • Module 14: Text Mining and NL

    In this module the candidate will learn about the Text Mining, importance, terminology, BOW, DTM, TDM Etc.
    • Text Mining Importance, BOW, Terminology and Preprocessing, Textual Data cleaning, DTM and TDM, Corpus level, positive and negative word clouds, social media web scraping
    • Case Study
    • Project
    • Dataset

  • Module 15: Naive Bayes

    In this module the candidate will learn about the Probability concepts, Naive Bayes etc.
    • Probability, Joint probability, conditional probability, Naive Bayes formula, Use case
    • Case Study
    • Project
    • Dataset

  • Module 16: KNN

    In this module the candidate will learn about the KNN.
    • Nearest Neighbour Classifier, 1- Nearest Neighbour classifier, K- Nearest Neighbour Classifier, Controlling complexity in KNN, Euclidean Distance
    • Case Study
    • Project
    • Dataset

  • Module 17: Decision Tree

    In this module the candidate will learn about the Decision tree, how to build it, Attribute selection, etc.
    • What is a Decision Tree, Building a Decision Tree, Greedy Algorithm, Building the best Decision Tree, Attribute selection- Information gain
    • Case Study
    • Project
    • Dataset

  • Module 18: Ensemble Techniques

    In this module the candidate will learn about the Ensemble Techniques, Ensemble Primer, voting, stacking, bagging etc.
    • Ensemble Primer, Voting, Stacking, Bagging, and Random Forest, Boosting Models
    • Case Study
    • Project
    • Dataset

  • Module 19: Confidence Interval

    In this module the candidate will learn about the Confidence Interval. Normal Distribution, Central Limit Theorem etc.
    • Intro to Normal Distribution, Probability Calculation for normally distributed data, Normal QQ plot, Central Limit Theorem, Confidence Interval
    • Case Study
    • Project
    • Dataset

  • Module 20: Hypothesis Testing

    In this module the candidate will learn about the Hypothesis testing and different types of tests.
    • Hypothesis Testing, Flowchart- Y is continuous, 2 sample T-Test, One Way ANOVA, Flowchart- Y is discrete, 2 proportion Test, Chi-Square Test
    • Case Study
    • Project
    • Dataset

  • Module 21: Regression Techniques

    In this module the candidate will learn about the Regression, its types- Simple, multiple etc.
    • Simple Linear, Multiple Linear, Logistic Regression, Multinomial Regression, Ordinal Regression, Advance Regression
    • Case Study
    • Project
    • Dataset

  • Module 22: SVM

    In this module the candidate will learn about the SVM, Best fit, kernel tricks and many more.
    • SVM Hyperplanes, Best fit Hyperplane, Kernel Tricks, Multiclass Classification using SVM
    • Case Study
    • Project
    • Dataset

  • Module 23: Survival Analytics

    In this module the candidate will learn about Survival Analytics, its applications and function.
    • Intro to Survival Analytics, Applications, Time to event, Censoring, Kaplan Meier Survival Function
    • Case Study
    • Project

  • Module 24: Forecasting

    In this module the candidate will learn about Forecasting, times series, errors in forecasting, methods of forecasting etc.
    • TimeSeries vs Cross-Sectional Data, Time Series Dataset, Forecasting Strategy, Time Series Components, Time Series Visualizations, Time Series Partition, Forecasting Methods, Forecasting Errors, Seasonal Index
    • Case Study
    • Project

  • Module 25: ANN

    In this module the candidate will learn about ANN, Perceptron functions, Error surface, Activation function etc.
    • Neural Network Primer, Perceptron and Multi-Layered Perceptron Algorithm, Activation Function, Error Surface, Gradient Descent Algorithm
    • Case Study
    • Project
    • Dataset

  • Module 26: CNN

    In this module the candidate will learn about CNN, Net challenges, MLP Filters and more.
    • Image Net Challenge, Parameters Explosion and MLP, Convolutional Networks, Convolutional Layers and Filters, Pooling Layer, Practical Issues, Adversaries
    • Case Study
    • Project

  • Module 27: RNN

    In this module the candidate will learn more about RNN, RNN Vs. Deep LSTM Etc.
    • Traditional Language Models, Wny not MLP, Recurrent Neural Networks,RNN types, CNN+RNN, Bidirectional RNN, Deep Bidirectional RNN, RNN vs LSTM, Deep RNN vs Deep LSTM's
    • Case Study
    • Project

  • Module 28: Complimentary Module 1: Soft Skills Development

    • Business communication
    • Preparation for the Interview
    • Presentation Skills

  • Module 29: Complimentary Module 2: Resume Writing

    • Resume Writing

Know the complete offerings of our Post Graduate Program in Master's (MS) in Data Science by College De Paris

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Starts in 1 day. 27 Apr 2024

Skills Covered

Programming

Statistics

Natural Language Processing

Python

Data Visualization

Tableau

Power BI

Artificial Intelligence

Marketing

Certifications

Get Ahead with Henry Harvin® Master's (MS) in Data Science by College De Paris Certification

What you'll Learn in this course

Python Programming Fundamentals

SQL Manipulation

Working with NumPy Arrays

Optimization, Derivatives, Matrix Operations

Project Management Methodology

Data Modelling in Power BI

Data Cleaning techniques

Hypothesis Testing

Our courses and Course Certificates are trusted by these industry leaders

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Career Services By Henry Harvin®

Career Services
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We are dedicated to supporting our students throughout their career journey. Join us, and let's embark on a journey towards a successful and fulfilling career together.

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Premium access to Henry Harvin® Job portal

Exclusive access to our dedicated job portal and apply for jobs. More than 2100+ hiring partners’ including top start–ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

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Personalized Job Consulting

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Job Profiles

Data Analyst

Big Data Engineer

Quantitative Analyst

Data Architect

Data Mining Engineer

AI Research Scientist

Data Science Consultant

Data Visualization Specialist

Data Product Manager

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