Post Graduate Program in Data Science Course in Nagpur

Post Graduate Program in Data Science Course - Job Guarantee Program in Nagpur

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

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Expedite your Career with Prestigious Post Graduate Program in Data Science | Learn Data Science with India’s #1 course and Get Ahead in Your Career | Learn Extensive use of Tools & Technologies and Analytics Techniques

Starts In 4 day

09 Dec 2024

Learning Period

192 Hours

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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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Emily Miller
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Radhika Gupta
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Charles Garcia Smith
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Shikha Sharma
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Mahesh Jaiswal
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Mur
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Hutton
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Romario
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Subhan
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Akasa
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Janki
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Renuka
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Sadhika
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Ram
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Sajan
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Saddam
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Clarissa
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Gagan
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Seema
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Arijit
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Know the complete offerings of our Post Graduate Program in Data Science Course - Job Guarantee Program in Nagpur

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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126 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 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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12 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

Curriculum For Post Graduate Program in Data Science Course - Job Guarantee Program in Nagpur

  • icons-carri33Module 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
    • Data-Time Functions
    • Hunting Tips
  • icons-carri33Module 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 Modeling 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 Modeling & Visualization
  • icons-carri33Module 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-carri33Module 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-carri33Module 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-carri33Module 6: Data Types and Data Processing

    In this module, the candidate will learn about the Data types and their processing.

    • Nominal, Ordinal, Interval, Ratio, Data Cleaning techniques
  • icons-carri33Module 7: Statistics

    In this module, the candidate will learn about the statistics and its types.

    • Descriptive, Inferential, Hypothesis Testing
  • icons-carri33Module 8: EDA

    In this module, the candidate will learn about the EDA, Business moments, and features of engineering.

    • Business moments
    • Graphical representation
    • Feature Engineering
  • icons-carri33Module 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-carri33Module 10: Clustering

    In this module, the candidate will learn about clustering, its types, and functions.

    • Hierarchical Clustering
    • K Means Clustering
  • icons-carri33Module 11: Dimension reduction

    In this module, the candidate will learn about the concept of Dimension reduction.

    • PCA
    • SVD

     

  • icons-carri33Module 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-carri33Module 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-carri33Module 14: Text Mining and NL

    In this module, the candidate will learn about Text Mining, its 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-carri33Module 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-carri33Module 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-carri33Module 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-carri33Module 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-carri33Module 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-carri33Module 20: Hypothesis Testing

    In this module, the candidate will learn about Hypothesis testing and different types of tests.

    • Hypothesis Testing, Flowchart- Y is continuous
    • 2 sample T-Test
    • One Way ANOVA
    • Flowchart- Y is discrete
    • proportion Test, Chi-Square Test
  • icons-carri33Module 21: Regression Techniques

    In this module, the candidate will learn about Regression, and its types- Simple, multiple, etc.

    • Simple Linear
    • Multiple Linear,
    • Logistic Regression
    • Multinomial Regression
    • Ordinal Regression
    • Advance Regression
  • icons-carri33Module 22: SVM

    In this module, the candidate will learn about SVM, Best fit, kernel tricks, and many more.

    • SVM Hyperplanes
    • Best fit Hyperplane
    • Kernel Tricks
    • Multiclass Classification using SVM
  • icons-carri33Module 23: Survival Analytics

    In this module, the candidate will learn about Survival Analytics, its applications, and its function.

    • Intro to Survival Analytics, Applications
    • Time to event
    • Censoring
    • Kaplan Meier Survival Function
  • icons-carri33Module 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-carri33Module 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-carri33Module 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-carri33Module 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-carri33Complimentary Module 1: Soft Skills Development

    • Business communication
    • Preparation for the Interview 
    • Presentation Skills
  • icons-carri33Complimentary Module 2: Resume Writing

    • Resume Writing

Know the complete offerings of our Post Graduate Program in Data Science Course - Job Guarantee Program

Admission Closes On 09 Dec 2024

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Upcoming Cohorts

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

Tools Covered

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Know more about 50+ tools covered in this Post Graduate Program in Data Science Course - Job Guarantee Program in Nagpur

Our Projects

Projects

Face Recognition

Face recognition comes in the artificial intelligence category, but nowadays, many gadgets come with a face recognition feature. It is mainly useful for security purposes. Data science solves the data collection problem for face recognition.

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Projects

Churn Rate Prediction

The churn rate is the annual total number of customers unsubscribing from a product or a service of a company. With the use of data science technology, a company can develop a system to know about customers' behavior. A company may use this data to make an ad for those leaving customers.

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Projects

Short-Term Memory Forecast

It is an artificial neural network with memory sets at each nodal. It acts as a feedback system to forward feedback received earlier based on regular activities. A professional will have hands-on data science technology to develop short-term memory forecast applications.

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Certifications

Get Ahead with Henry Harvin® Post Graduate Program in Data Science Course - Job Guarantee Program in Nagpur Certification

What you'll Learn in this course

Analytics Tools and Technologies

Power BI Concepts

Machine Learning Techniques

Python Programming

Statistics and Data Modeling

Data Cleaning

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 Scientist

Machine Learning Engineer

Data Analyst

Business Intelligence Analyst

Data Engineer

Big Data Engineer

AI Engineer

Data Science Consultant

Research Scientist

Frequently Asked Questions

  • What is Data Science?

    Ans: Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI) and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning.

  • How useful is it to learn Data Science?

    Ans: Learning Data Science is highly beneficial due to the strong demand and lucrative salaries in diverse industries. It enhances critical thinking, and crucial technical skills in programming, statistical analysis, and machine learning. Additionally, it develops analytical problem solving abilities, enabling data driven decision making. It offers versatile career opportunities and the ability to drive innovation and efficiency across various fields.

  • Who is eligible to learn Data Science Certification Courses in Nagpur?

    Ans: For admission to this Data Science Certification Course in Nagpur, candidates should have:

    • A bachelor’s degree with an average of 50% or higher marks

    • Basic understanding of programming concepts and mathematics

    • Current university students in their final year with an average of 50%

    • or higher marks can also apply

  • How much should I pay for attending a data science course in Nagpur?

    Ans: The data science certification course fee in Nagpur is ₹298000 which includes an 18 Months Gold Membership of Henry Harvin® Data Science & Analytics Academy that includes E-Learning Access through recorded Videos, Games, Projects, CPDSPe Studies, internship, and job support.

  • What are the job opportunities after learning Data Science Training in Nagpur?

    Ans: The following job roles are available for Data Science Certification holders in Nagpur:

    1. Analytics Consultant
    2. Manager Analytics
    3. Data Analyst Data Engineer
    4. Data Scientist Reporting Analyst
    5. AI Engineer Research Executive
    6. Statistician
    7. Research Executive
    8. Reporting Analyst
    9. Data Engineer
    10. ML Engineer

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Who We Are?

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 Post Graduate Program in Data Science Course - Job Guarantee Program

Certified & Experienced Instructors

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Gold Membership & Post Training Followups

Tailor Made Training

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