MBA in Data Science by College De Paris

MBA in Data Science by College De Paris

Henry Harvin® Ranks #1 for Data Science Courses by India Today

  • ★ ★ ★ ★ ★ 4.9/5 Ratings
  • 1.1 Million Learners
  • 2168 Learner’s Rating
  • 81% Report Career Benefits

The MBA in Data Science will equip you with the skills needed to become an expert in this rapidly growing domain | Gain an in-depth working knowledge of Data Science | Learn to use data visualization tools to effectively communicate insights | Hone your existing skills by working on assignments and projects related to Data Science | Learn Extensive use of Tools & Technologies and Analytics Techniques

Starts In 1 day

24 Jun 2024

Learning Period

192 Hours

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Placed Learners

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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®

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Marcos
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Know the complete offerings of our MBA 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 19 Capstone Projects
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53 Auto-Graded Assessments
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38+ Industry Case Studies
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288 Guided Hands-On Exercises
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19+ Assignments and Mini Projects
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2 Mock Interviews and 2 Hackathons
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Get 1-Year Gold Membership of Henry Harvin® Data Science & Analytics Academy
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Get a guaranteed Internship with Henry Harvin® and in top MNCs 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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13 Hours of Mentorship by Industry Experts
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Earn Certification of Course from Henry Harvin®, Govt of India recognized & Award-Winning Institute and NSDC Certification

Upcoming Cohorts

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 MBA in Data Science by College De Paris

MBA in Data Science by College de Paris

MBA in Data Science College de Paris is designed to equip students with the skills and knowledge required to analyze and manage large sets of complex data. This Data Science Master's Program provides hands-on experience in data visualisation, machine learning, and statistical modelling. Learn Real-world case studies to build practical skills. Experience Hands-on exposure to analytics tools & techniques such as Python, Tableau, SQL . The Data Science Master's Program focuses on topics such as reproducible data analysis, collaborative problem solving, visualization and communication, and security and ethical issues that arise in data science.

Who can Join the course?

  • Individuals with a background in mathematics, statistics, computer science or related fields are eligible to join this course. 
  • Applicants must demonstrate proficiency in programming languages such as Python and R.

AGOTA™ Framework

It is a versatile 10-in-1 program that includes various aspects of competency development and career development.

  • Training: 192 Hours of live Two-way interactive online sessions
  • Projects: Facility to undergo projects related to Data Science
  • Masterclass: Access to 52+ Masterclass Sessions for essential soft skill development
  • Student Engagement & Events: Free Access to #AskHenry Hackathons and Competitions & many other facilities from Henry Harvin®
  • Membership: Get 18 Months of Gold Membership of Henry Harvin® Data Science & Analytics Academy for the MBA in Data Science by College de Paris
  • E-Learning: E-Learning: 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.
  • Certification: Get Course Completion Certification of MBA in Data Science by College de Paris in association with Henry Harvin® Govt of India recognized & Award-Winning Institute, and showcase expertise
  • Internship Support: Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage.
  • Entrepreneurship Mentorship: Mentorship from Young Successful Entrepreneurs to set up a sustainable & scalable Business from scratch at both Freelance & Entrepreneur level
  • Placement Support: Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting

Trainers at Henry Harvin® 

  • Most renowned industry experts with 14+ years of work experience and recognized by various organizations over the years for their work.
  • Have been invited to 350+ keynote classes for MBA in Data Science by College De Paris
  • Have delivered 510+ lectures and are currently enlisted as domain experts with Henry Harvin® Data Science & Analytics Academy

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 18 Months Gold Membership of Henry Harvin® Data Science & Analytics Academy that includes E-Learning Access through recorded Videos
  • Free Masterclass Sessions access.
  • Earn the Prestigious Henry Harvin®️ Alumni Status and become one of the reputed 4,60,000+ alumni globally.
  • Guaranteed Internship with Henry Harvin®️ or partner firms
  • Weekly 10+ job opportunities offered.
  • Experience Industry Projects during the training

Learning benefits

  • Earn globally recognized Certification 
  • Be well accomplished  in analytics tools and technologies such as Python, Tableau, SQL
  • Develop advanced skills in data analysis and management.
  • Gain expertise in machine learning algorithms and statistical modeling techniques.
  • Acquire practical experience through project-based learning.
  • Know about the Machine learning techniques such as Regression, Predictive Clustering, Time Series Forecasting, Classification.
  • Create an analytics framework using statistics and data modeling to structure any Business problem 
  • Learn to use data cleaning and data transformation operations using tools and Techniques
  • Learn Comprehensively about  Deep Learning, Natural Language Processing (NLP)
  • Be Job-ready for the post of Data Scientist, Data Engineer, or Analyst for top Analytics companies 

Career Benefits

  • Exposure to 4+ Millions of Jobs in the Arena of Data Science
  • Be Part of expanding Data Science and Big Data Market
  • Get Hired by International Brands like Google, Amazon and other top brands in the industry, as a Data Scientist
  • Add the Certification to your CV & LinkedIn Profile with professional & Technical development
  • Be Highly Paid as a Freelancer or as a full-time Professional after the Successful completion of MBA in Data Science 

Know the complete offerings of our MBA in Data Science by College De Paris

Curriculum For MBA in Data Science by College De Paris

  • 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
    • Working with Data in R
    • R Programming Fundamentals
    • Data Structures 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.
    • Project
    • Ensemble Primer, Voting, Stacking, Bagging, and Random Forest, Boosting Models
    • Case Study
    • Dataset
  • Module 19: Confidence Interval

    In this module the candidate will learn about the Confidence Interval. Normal Distribution, Central Limit Theorem etc.
    • Project
    • Intro to Normal Distribution, Probability Calculation for normally distributed data, Normal QQ plot, Central Limit Theorem, Confidence Interval
    • Case Study
    • 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.
    • Case Study
    • Project
    • Simple Linear, Multiple Linear, Logistic Regression, Multinomial Regression, Ordinal Regression, Advance Regression
    • 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.
    • Case Study
    • Project
    • Dataset
    • Neural Network Primer, Perceptron and Multi-Layered Perceptron Algorithm, Activation Function, Error Surface, Gradient Descent Algorithm
  • 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
    • Project
    • Case Study
  • 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 in MBA in Data Science by College De Paris

Book a Live Class, For Free!

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Skills Covered

Descriptive Statistics

Model building and Fine Tuning

Hypothesis Testing

Exploratory Data Analysis

Supervised and Unsupervised Learning

Inferential Statistics

Deep Learning

Machine Learning

Neural Networking

Certifications

Get Ahead with Henry Harvin® MBA in Data Science by College De Paris Certification

What you'll Learn in this course

Normal Distribution

Calculation for normally distributed data

Ensemble Primer, Voting & Stacking

Decision Tree

Regression Techniques

Text Minning and NL

User-based collaborative Filtering

Hierarchical Clustering & K Means Clustering

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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Placement Drives

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

Share what kind of job you are looking for and we will provide you with verified job openings that match your requirement.

Job Profiles

Data Scientist

Data Analyst

Machine Learning Engineer

Business Intelligence Analyst

Data Engineer

Quantitative Analyst

Data Architect

Data Mining Engineer

AI Research Scientist

Related Jobs

Data Analyst, Data science Manager, Product Manager, Data Architecture, business operations Manager., Analytics Manager. Data Scientist

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Henry Harvin®️ ranks amongst the Top 500 Global Edtech Companies with 4,60,000+ Alumni, 900+ B2B Clients, 500+ Award Winning Trainers, and 1200+ Courses.

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