Advanced Certificate Program in Data Science & AI by E&ICT Academy, IIT Guwahati

Advanced Certificate Program in Data Science & AI by E&ICT Academy, IIT Guwahati

Henry Harvin® Henry Harvin® Ranks No.1 amongst All The Data Science & AI Courses in India by India Today

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Gain insights into the domain of Data Science and Artificial Intelligence from India's No. 1 Online Learning Platform | Get hands-on experience developing AI-driven software solutions with our support | Get access to world-class research in AI directly from our classrooms | Meet the industry expectations and capabilities.

Starts In 6 day

09 Dec 2024

Learning Period

9 Months

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Certificate from E&ICT Academy, IIT Guwahati

Alumni Status from E&ICT Academy, IIT Guwahati

2 days Immersive sessions at IIT Guwahati Campus in addition to the course & learn from IIT Guwahati Faculty

Guaranteed Internship at IIT Guwahati Campus

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 Advanced Certificate Program in Data Science & AI by E&ICT Academy, IIT Guwahati

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 of 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 3 Hackathons
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Get 18 Months 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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14 Hours of Mentorship by Industry Experts
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Earn Certificate from E&ICT Academy, IIT Guwahati along with Certification of Course from Henry Harvin®, Govt of India recognized & Award-Winning Institute and NSDC Certification

Curriculum For Advanced Certificate Program in Data Science & AI by E&ICT Academy, IIT Guwahati

  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 Module 7: Statistics

    In this module the candidate will learn about the statistics and its types.
    • Descriptive,Inferential, Hypothesis Testing
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 Module 10: Clustering

    In this module the candidate will learn about the clustering, its types and function.
    • Hierarchical Clustering, K Means Clustering
  • icons-carri22 Module 11: Dimension reduction

    In this module the candidate will learn about the concept of Dimension reduction.
    • PCA,SVD
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 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
  • icons-carri22 Module 28: Complimentary Module 1: Soft Skills Development

    • Business Communication
    • Preparation for the Interview
    • Presentation Skills
  • icons-carri22 Module 29: Complimentary Module 2: Resume Writing

    • Resume Writing

Know the complete offerings of our Advanced Certificate Program in Data Science & AI by E&ICT Academy, IIT Guwahati

Admission Closes On 09 Dec 2024

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Skills Covered

Data Visualization

Big Data Processing Advanced Machine Learning

Advanced Machine Learning

Data Modelling

R/Python Programming

Statistics & Probability

Certifications

Get Ahead with Henry Harvin® Advanced Certificate Program in Data Science & AI by E&ICT Academy, IIT Guwahati Certification

What you'll Learn in this course

Cybersecurity Fundamentals

Advanced Coding

Project Management

Deep Learning & Neural Networks

Legal Aspects of Artificial Intelligence

Data Science Model Building

Our courses and Course Certificates are trusted by these industry leaders

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Know more about the value of this certificate in the industry

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 Analyst

AI Scientist

Business Intelligence Developer

Technical Services Manager

Market Research Analyst

Data Science Manager

Data Engineer

AI Research Scientist

Chief Data Officer

Related Jobs

Data Scientist, Data Architect, Data Science Manager, Machine Learning Engineer, AI Scientist – Deep Learning, Business Analyst – Artificial Intelligence

Frequently Asked Questions

  • What if I have doubts and queries post completion of Data Science Training from Henry Harvin?

    As a student and as an Alumni of the Institute, you will have a network of colleagues and fellow peers with whom you can interact at any time. Our Instructors are also available via refresher sessions which are conducted periodically post-completion to provide Data Science Course clarifications and answer doubts.

  • What is the best mode of study amongst online and offline mode for data science course ??

    Both! Henry Harvin&rsquo's quality of education remains constant in all respects irrespective of the mode of study chosen by the student.For Data Science Course

  • What do I get in the 1-year complimentary Gold Membership that Henry Harvin is offering with this course?

    The 1-Year Gold Membership of Henry Harvin Analytics Academy includes E-Learning Access through recorded Videos, Games, Projects, CDSe Studies as well as free Brush-up Sessions for 1-Year for their students.

  • Which Branch of Data Science is the Most Beneficial?

    Machine learning and cognitive algorithm development are best for data science specializations. It enables aspirants and professionals to develop Artificial Intelligence (AI)-based algorithms and solutions.

  • What are Data Science Training Courses?

    The Data Science course is an excellent blend of mathematics, statistical foundations and tools, and business acumen, all of which aid in extracting hidden patterns or insights from raw data that can significantly contribute to formulating crucial business decisions. Henry Harvin’s Business analytics courses have merged with Data Science due to their ubiquity in academia.

    The course's significant components- are scientific computing, data structures, and algorithms, data analysis, and machine learning techniques for enhancing business performance.

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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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Why Henry Harvin for the best Advanced Certificate Program in Data Science & AI by E&ICT Academy, IIT Guwahati

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