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iHUB-IIT-R

Data Science Course

95,374 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
Mouthshut 24542

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 Linux command line. Most of the production systems in the world runs on Linux.

Python For Data Science: Master practical skills with 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 needs to have decent knowledge of mathematics like linear algebra, & more.

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

Artificial Intelligence: Understand how neural network works, its implementation in the business. Work on projects & create your own AI applications.

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

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

MS Excel: Learn Excel analytics from scratch to master data transformation, data manipulation, data modelling 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 undergo 10+ Data Science Courses along with multiple case studies and industry-oriented project work.

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

Additionally, Data Science Capstone Projects and multiple 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, Power BI, etc. This certification can quickly accelerate your career in this evolving domain and help positioning 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 be aware of the business-pain-points and ask the right questions.
  2. Collect Data: They collect enough data to understand the problem in a better manner.
  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 in a usable form, data scientists must examine it to determine its characteristics and find evident trends, correlations, and more.
  5. Analyse 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: At last, results must be communicated to the right stakeholders, laying the groundwork for all identified issues.

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

Criteria Data Analyst Business Analyst Data Scientist
Skillset Analyzing business needs Analyzing historical data Making data-driven decisions
Who are eligible? Anyone can learn Anyone can learn Anyone can learn
What do they do? Full life cycle analysis, including business needs, activities, and designing Implementing technology solutions and analyzing and reporting business capabilities Statistical analysis and the development of Machine Learning systems

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We are happy to help you 24/7

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 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

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)

28 Sep 2024 08:00 PM - 11:00 PM
Weekend (Sat - Sun)

28 Sep 2024 10:00 AM - 01:00 PM
Weekday (Tue - Fri)

01 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

Preview

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

Preview
  • 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
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Exclusive access to Intellipaat Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
resume
Career Oriented Sessions
linkedin
Resume & LinkedIn Profile Building

Data Science Certification

Advanced-Certification-in-Data-Science-and-AI Click to Zoom

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 plays a pivotal role in technology development, incubation, and startups, particularly in areas like 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.

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Data Science Certification Course Reviews

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Data Science Training FAQs

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

Upon enrolling in the program, you will get below mentioned learning support services.

  • 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. Apart from this, some 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 given timelines.
  3. Clear the Placement Readiness Test (PRT)

Upon clearing the PRT learner will get access to the dedicated jobs as well as the career mentoring sessions.

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

To become a data scientist, you need to have good mathematics & Python knowledge. You should be a good story teller. Tools like Power BI or Tableau is essential to present the data insights in an effective manner. The knowledge of ML and AI algorithms with hands on exposure are 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 to make an informed decision between Data Science and data analytics.

Yes, it serves as the foundation for analysing 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, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.

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