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iHUB-IIT-R

Data Science Course

95,666 Ratings

  • Master Python, SQL, Machine Learning, Power BI, Gen AI, and Chat-GPT
  • Live online Interactive sessions from IIT faculty & top industry experts
  • Guaranteed placement support with our career services
  • Earn prestigious data science certification from iHub DivyaSampark IIT Roorkee & Microsoft

Ranked #1 Data Science Course by India TV

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Key Highlights

50+ Live interactive sessions across 7 months
218 Hrs Self-paced Videos
50+ Industry relevant Projects & Quizzes
Certification from iHub IIT Roorkee & Microsoft
Learn from IIT Faculty & Industry Practitioners
24/7 Support
Career Services by Intellipaat
2 Days Campus Immersion at iHub DivyaSampark IIT Roorkee
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Trustpilot 3109
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About Data Science Course Overview

What skills will you master in this data science course?

In this data science course, you will master the key skills to become a successful data scientist, such as:

Linux: Learn basic Linux commands to gain expertise with the Linux command line. Most of the world’s production systems run on Linux.

Python For Data Science: Master practical skills in Python programming & its data science libraries like Pandas, Numpy, Matplotlib, etc. Get hands-on with ETL (Extract, transform, Load) in this data science course.

Statistics: To become a successful data scientist, one must have a decent knowledge of mathematics, such as linear algebra.

Machine Learning: Master supervised and unsupervised algorithms with this program and solve business problems using algorithms.

Artificial Intelligence: Understand how neural networks work and how they are implemented in the business. Work on projects and create your own AI applications.

Power BI: Microsoft’s most widely used visualization tool. Learn how to create complex interactive dashboards and management reports.

MLOps: Once you have mastered the Machine Learning algorithms, it is time to deploy the machine learning model you have created on a cloud platform like AWS or Azure.

MS Excel: Learn Excel analytics from scratch to master data transformation, data manipulation, data modeling, and reporting.

Generative AI: Master prompt engineering and tools like ChatGPT to build data science application at lightning speed.

In this advanced Data Science Certification program, you will take 10+ Data Science Courses, complete multiple case studies, and work on industry-oriented projects.

Online Instructor-led Interactive Sessions:

  • Course 1: Linux and Python Fundamentals
  • Course 2: Data Wrangling with SQL
  • Course 3: Python with Data Science
  • Course 4: Linear Algebra and Advanced Statistics
  • Course 5: Machine Learning and Prediction Algorithms
  • Course 6: Supervised and Unsupervised Learning in ML
  • Course 7: Deep Learning with TensorFlow
  • Course 8: Generative AI & Prompt Engineering
  • Course 9: Deploying Machine Learning Models on Cloud
  • Course 10: Data Visualization Tool Power BI

Data Science Capstone Projects and electives will be provided to enhance your knowledge in the Data Science & AI domain with this data science course.

This online Data Science training will help you master skills like SQL, Python, machine learning, data structures, storytelling, AI, and Power BI. This certification can quickly accelerate your career in this evolving domain and help you position yourself as a senior data scientist.

  • Data Scientist is the best job in the 21st Century — Harvard Business Review.
  • The number of jobs for all data professionals in the United States will increase to 2.7 million — IBM.

Some of the core responsibilities of data scientists are:

  1. Understand the Problem: Data scientists should know the business pain points and ask the right questions.
  2. Collect Data: They collect enough data to understand the problem better.
  3. Process the Raw Data: We rarely use data in its original form, and it must be processed. There are several ways to convert it into a usable format.
  4. Explore the Data: After processing data and converting it to usable form, data scientists must examine it to determine its characteristics and find evident trends, correlations, and more.
  5. Analyze the Data: To understand the data, they use various tool libraries, such as machine learning, statistics and probability, time series analysis, and more.
  6. Communicate Results: Finally, results must be communicated to the right stakeholders, laying the groundwork for all identified issues.

Our certification course will help you master data scientist skills in 7 months.

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With data collection, ‘the sooner, the better’ is the best answer. - Jim Lanzone, CEO Yahoo
Everything is going to be connected with data and mediated by software - Satya Nadella, CEO of Microsoft

Data Science Career Transitions

55% Average Salary Hike

$1,20,000 The Highest Salary

12000+ Career Transitions

500+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet the Data Science Mentors

What role does a Data Scientist play?

Data Scientist

Design and implement scalable codes alongside effectively developing high-quality applications.

Analytics and Insights Analyst

Develop solutions for fixing quality issues in the data upon investigating the reported errors in the data.

AI & ML Engineer

Use Lambda functions and API Gateway to integrate machine learning models into web apps and deploy models in SageMaker.

Data Engineer & Data Analyst

Perform data cleansing, transformation, and analyse the data. The data insights are presented using reports and dashboards.

Junior Data Scientist

Analyse the operating behaviour using advanced statistical techniques and tools. Also, create algorithms with prescriptive and descriptive methods.

Applied Scientist

Derive intelligence for business products through designing and developing machine learning models.

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28+ Skills Covered under this Data Scientist Course

Python Programming

SQL

Mathematical Modelling

Story Telling

Descriptive Statistics

Inferential Statistics

Data Analysis

Machine Learning

Generative AI

Prompt Engineering

ChatGPT

Artificial Intelligence

Large Learning Models

Supervised Learning

Unsupervised Learning

MLOps

Data Visualization

Conversational AI

Ensemble Learning

Exploratory Data Analysis

Data Science

Big Data

Data Mining

Statistical Learning

Research Methods

Hypothesis Testing

Statistical Analysis

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12+ Tools Covered

pyspark python jupyter Scipy numpy pandas matplotlib tensorflow SQL Power-BI-1 excel git
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Fees

Online Classroom Preferred

  • Live Classes from IIT Faculty & Industry Experts
  • Certification from iHub DivyaSampark IIT Roorkee
  • Certification from Microsoft for SQL & Power BI
  • Career Support Services
  • Placement Assistance upon clearing PRT
Weekend (Sat - Sun)

05 Oct 2024 08:00 PM - 11:00 PM
Weekend (Sat - Sun)

06 Oct 2024 10:00 AM - 01:00 PM
Weekday (Tue - Fri)

08 Oct 2024 07:00 AM - 09:00 AM
$1,492 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Data Science Course Syllabus

Live Course Self Paced Industry Expert Academic Faculty

Preparatory Session - Linux and Python

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Python 

  • Introduction to Python and IDEs
  • Python Basics
  • Object Oriented Programming
  • Hands-on Exercises, Quizzes and Assessments

Linux

  • Introduction to Linux
  • Linux Fundamentals
  • Linux Basics
  • Hands-on Exercises, Quizzes and Assessments
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  • SQL Basics
  • Joins in SQL
  • SQL Functions
  • Subqueries in SQL
  • SQL Nested Queries
  • Deep Dive into User Defined Functions
  • SQL Optimization and Performance
  • Hands-on Exercises, Quizzes and Assessments
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  • Using Python APIs for ETL
  • Data Handling with NumPy
  • Data Manipulation Using Pandas
  • Data Preprocessing
  • Data Visualization
  • Hands-on Exercises, Quizzes and Assessments
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  • Descriptive Statistics
  • Probability
  • Inferential Statistics
  • Hands-on Exercises, Quizzes and Assessments
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  • Introduction to Machine Learning
  • Regression
  • Classification
  • Clustering
  • Hands-on Exercises, Quizzes and Assessments
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  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Random Forest
  • Support Vector Machine
  • Gradient Descent
  • K-Nearest Neighbors
  • Time Series Forecasting
  • Hands-on Exercises, Quizzes and Assessments
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  • K-means
  • Dimensionality reduction
  • Linear Discriminant Analysis
  • Principal Component Analysis
  • Performance Metrics
  • Classification reports
  • Confusion matrix
  • Hands-on Exercises, Quizzes and Assessments
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  • Artificial Intelligence Basics
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Deep Learning
  • Hands-on Exercises, Quizzes and Assessments
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  • LSTM
  • Transformers
  • BERT
  • GPT
  • LLM
  • Hands-on Exercises, Quizzes and Assessments
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  • Extracting, loading and transforming data into usable format to gather insights.
  • Data manipulation and handling to pre-process the data.
  • Feature engineering and scaling the data for various problem statements.
  • Model selection, Model building. Work on various classification, regression problems using supervised/unsupervised machine learning algorithms.
  • Assessment and monitoring of the model created using the machine learning models.
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  • Build Recommendation Engine
  • Rating Predictions
  • Census
  • House Price Prediction
  • Object Detection
  • Stock Market Analysis
  • Banking Problem
  • AI Chatbot
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  • Job Search Strategy
  • Resume Building
  • LinkedIn Profile Creation
  • Interview Preparation Sessions by Industry Experts
  • Mock Interviews
  • Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.
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Electives

  • Power BI Basics
  • Data Modelling and DAX, Time Intelligence Functions, DAX Advanced Features
  • Slicers, filters, Drill Down Reports
  • Power BI Query, Q & A and Data Insights
  • Power BI Settings, Administration and Direct Connectivity
  • Embedded Power BI API and Power BI Mobile
  • Power BI Advance and Power BI Premium
  • Hands-on Exercises, Quizzes and Assessments
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  • Introduction to MLOps
  • Deploying Machine Learning Models
  • Introduction to Azure Machine Learning
  • Deploying Machine Learning Models using Azure
  • Hands-on Exercises, Quizzes and Assessments
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  • Version Control
  • Introduction to Git
  • Git Lifecycle
  • Common Git commands
  • Working with branches in Git
  • Github Authentication (ssh and Http)
  • Merging branches, Resolving merge conflicts, Git workflow
  • Hands-on Exercises, Quizzes and Assessments
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  • Excel Fundamentals
  • Excel For Data Analytics
  • Data Visualization with Excel
  • Excel Power Tools
  • Classification Problems using Excel
  • Regression Problems Using Excel
  • Hands-on Exercises, Quizzes and Assessments
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Data Science Projects

Career Services

Career Services
guaranteed
Placement Assistance
job_portal
Exclusive access to Intellipaat Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
resume
Career Oriented Sessions
linkedin
Resume & LinkedIn Profile Building
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Data Science Certification

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About iHUB DivyaSampark, IIT Roorkee

iHUB DivyaSampark at IIT Roorkee, established under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) by the Department of Science and Technology (DST), focuses on fostering innovation in advanced technologies such as AI, ML, and more. The hub is pivotal in technology development, incubation, and startups, particularly in Healthcare, Industry 4.0, Smart Cities, and Defence.

By integrating smart devices with next-generation materials, iHUB DivyaSampark aims to drive CPS advancements, collaborating with government and industry to meet market needs and support a self-reliant India.

You can unlock your Data science certification issued by us in two simple steps:

  1. Complete the given assignments and Quizzes
  2. Work on capstone project and submit them

The Data Science Certification is valid for lifetime. Top organizations worldwide recognize it.

Data Science Certification Course Reviews

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Data Science Training FAQs

What learning support is provided with this Data Science Certification course?

You will get the below mentioned learning support services upon enrolling in the program.

  • A personal mentor to track your progress
  • Immersive online instructor-led sessions conducted by Industry Experts
  • Real-time exercises, assignments, and industry-oriented projects
  • 24/7 learning support
  • 1:1 doubt clearance by subject matter experts
  • Forum to interact with likeminded learners
  • Personalized job support & access to the job portal

Data scientists are responsible for collecting, analysing large volume of structured and unstructured data from different data sources. They use their mathematics, statistics, and computer science skills to analyse and interpret the data. They present data insights to business teams to make informed decisions. This Applied Data Science Course will help you horn data science skills.

Python is the most popular and preferred language for building Data Science applications. It is an easy-to-use, easy-to-learn, open-source programming language. Moreover, it is a dynamic language that supports multiple paradigms. Other languages used in Data Science include R and SQL.

Here is the process to get into the placement pool:

  1. Complete the Data Science course in India.
  2. Submit all the mandatory assignments and projects within the given timelines.
  3. Clear the Placement Readiness Test (PRT)

The learner can access dedicated jobs and career mentoring sessions after clearing the PRT.

Yes, indeed this course will help you land data science & AI-related jobs upon course completion.

To become a data scientist, you need to have good mathematics and Python knowledge. You should also be a good storyteller. Tools like Power BI or Tableau are essential to present data insights effectively. Knowledge of ML and AI algorithms with hands-on exposure is vital. Our data science course in India will help you attain the required skills.

The decision between Data Science and data analytics depends on your goals. Data Science is broader and focuses on gaining insights, creating models, and solving complex problems using various techniques. Data Science is best suited for those interested in research and innovation. On the other hand, data analysis is more about interpreting existing data to make data-driven decisions. If you enjoy working with structured data to gain useful insights and contribute to business strategies, data analytics may be a better fit. Consider your preferences and career aspirations when deciding between data science and data analytics.

Criteria Data Scientist Business Analyst
Skillset Making data-driven decisions Analyzing historical data
Who is eligible? Anyone can learn Anyone can learn
What do they do? Statistical analysis and the development of Machine Learning systems Implementing technology solutions and analyzing and reporting business capabilities

Yes, it serves as the foundation for analyzing and interpreting data. Proficiency in languages like Python or R programming allows data scientists to manipulate and process data efficiently, build statistical models, and extract valuable insights. Our data science course teaches Python programming in depth.

Intellipaat offers query resolution services after completion of this Data Science course. You can raise a ticket with our 24/7 support team or even send us an email. If your query is not resolved via email, we can even arrange a 1:1 session with our support team. However, the 1:1 interaction with the instructors is available only up to 6 months from the start date of the course.

Intellipaat offers job assistance to all learners who have successfully competed the Data Science training program. Upon completion of the course and after clearing the PET (Placement Readiness Test), you will be moved to the placement pool. Our 500 top MNCs and startups regularly hire from our qualified pool of Intellipaat certified professionals. Intellipaat alumni are already working in top MNCs like Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

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