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iHUB IIT R

Data Science Course in Mountain View

96,569 Ratings

Rated #1 Data Science Course by India TV

  • Data Science Course with placement assistance in Mountain View
  • Two days of campus immersion at IIT Roorkee
  • Offered by iHUB, IIT Roorkee, an innovation hub of IIT Roorkee
  • Learn tools and techniques to excel in Data Science Training in Mountain View
In Collaboration With
Microsoft
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Data Science Training in Mountain View 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
Live Classes from IIT Faculty & Industry Experts
24/7 Support
Career Services by Intellipaat
2 Days Campus Immersion at iHub IIT Roorkee
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Trustpilot 3109
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Data Science Course Overview

What will you learn from this Data Science training in Mountain View?

  • Data Science with R: Introduction
  • Data exploration and visualization
  • Data manipulation
  • Introduction to statistics
  • Machine Learning techniques
  • Logistic and linear regression
  • Information Architects
  • Big Data Professionals
  • Developers aspiring to master Data Science and Machine Learning
  • Potential job seekers

There are no prerequisites defined to take up this Data Scientist course in Mountain View. A zeal for exploring mathematical concepts is enough to enroll in it.

  • A Data Scientist in Mountain View makes approximately US$186,000/year – Indeed
  • There are 1,000+ Data Scientist job vacancies in Mountain View – LinkedIn
  • The global Data Science market size can grow up to US$107,640 million by 2025 at a CAGR of 19.39% – Valuates Reports
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Career Transition

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 Training Mentors

What role does a Data Scientist play?

Data Scientist

Design and implement scalable applications using AI & ML algorithms.

Data Analyst

Develop application for fixing data quality issues and get data insights.

AI & ML Engineer

Build LLM to build innovative applications for the future.

Data Engineer

Perform design, build and maintain the infrastructure to handle large volume of data and large-scale applications

Junior Data Scientist

Works on Data Analysis, Model building and data cleansing. Uncover data insights & solve business problems

Applied Scientist

Develop and deploy machine learning solutions to solve real world problems.

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28+ Skills Covered under this Data Scientist Course

Python Programming

SQL

Story Telling

Inferential Statistics

Machine Learning

Mathematical Modelling

Descriptive Statistics

Data Analysis

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+ Data Science Tools Covered

pyspark 1 python 2 jupyter 3 Scipy 2 numpy 2 pandas matplotlib tensorflow 1 SQL 1 Power BI excel 1 git
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Data Science Course Fees in Mountain View

Online Classroom Preferred

  • Live Classes from IIT Faculty & Industry Experts
  • Earn data science certification from iHub IIT Roorkee,& Microsoft
  • Work on Industry Oriented Projects
  • Elevate your career with our placement support
Weekend (Sat-Sun)

23 Nov 2024 10:00 AM - 01:00 PM
Weekend (Sat-Sun)

24 Nov 2024 08:00 PM - 11:00 PM
Weekday (Tue-Fri)

26 Nov 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 Curriculum

Live Course Self-Paced Industry Expert Academic Faculty

Preparatory Session - Linux and Python

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Python

  • Learn the basics of Python, along with how to use them in IDEs
  • Deep dive into the fundamentals of OOPS concepts like Classes, Objects, Inheritance, etc.

Linux

  • Get started with the fundamentals of Linux
  • Learn the Linux Architecture, along with commonly used commands in Linux
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  • Understand the basics of SQL, such as creating tables, updating tables, etc.
  • Deep dive into SQL joins and learn about Left join, Right join, etc.
  • Know why SQL functions are needed and how to use them, along with using subqueries in SQL.
  • Learn SQL Nested Queries and understand User Defined Functions in SQL.
  • Learn how to do SQL Optimization and improve the performance of SQL queries.
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  • Understand how to use Python for Data Science and the importance of Python APIs. Learn how to create APIs with Python.
  • Deep-dive into the nitty-gritty of Data Manipulation and Data Handling in Python using NumPy and Pandas.
  • Know the importance of Data Preprocessing and Visualization and their Python implementation.
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  • Re-visit Linear Algebra and Advanced Statistics for machine learning.
  • Deep-dive into Descriptive Statistics, Inferential Statistics, and Probability.
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  • Introduction to machine learning, why it is essential, and how it works.
  • Understand regression, classification, and clustering algorithms. Also, learn when to use which algorithm.
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  • Understand what linear and logistic regression is and the difference between them.
  • Learn and implement Decision Tree and Random Forest algorithms, and understand when to use decision tree vs random forest.
  • Acquire hands-on skills in Support Vector Machine and Gradient Descent.
  • Learn what K-Nearest Neighbors and Time Series Forecasting is.
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  • Master the fundamentals of K-means clustering along with Dimensionality reduction. Learn linear discriminant analysis and principal component analysis.
  • Understand the importance and usage of Performance Metrics and Classification Reports.
  • Learn how to evaluate machine learning models using the Confusion matrix.
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  • Learn the basics of Artificial Intelligence and Deep Learning. Get a deeper understanding of neural networks and their different types.
  • Understand the internal workings of Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), along with various real-time scenarios.
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  • Explore the fundamentals of LSTM and its advantages over RNN. Learn to make them suitable for complex time series data analysis and sequence-based tasks.
  • Deep-dive into the mechanics of Transformer architecture, learn how they have improved traditional NLP techniques, and why they are better at understanding context.
  • Learn what BERT is and how it can understand the deep contextual meaning of sentences. Learn its application in text classification, sentiment analysis, and question answering.
  • Understand GPT models and the importance of autoregressive learning. Learn how GPT models are trained on vast datasets and how to fine-tune them for different creative applications.
  • Learn the evolution of large language models (LLMs) and their architecture, to perform complex language understanding and generation tasks.
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  • Use ETL processes to make data usable, along with data manipulation and visualization techniques to gather insights and pre-process data.
  • Understand how to do Feature Engineering to enhance the performance of machine learning models. Learn to select the right supervised or unsupervised algorithm for varied use cases and problems.
  • Learn how to evaluate and monitor machine learning models.
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  • Recommendation Engine: Learn how to create recommendation engines using collaboration filtering and content-based methods. Then, render personalized recommendations using datasets from E-Commerce platforms and video streaming services.
  • Rating Predictions: Learn how to predict user ratings using machine learning models on various datasets such as movie ratings, product reviews, and customer satisfaction analysis.
  • Census: Analyse and interpret Census data using various machine-learning techniques. Learn to find patterns using multiple criteria, such as demographics, age, etc.
  • House Price Prediction: Learn to build a machine learning model in this certification course that can predict house prices by being trained on historical house prices.
  • Object Detection: Understand the fundamentals of object detection. Learn how to detect objects in images and videos.
  • Stock Market Analysis: Learn to analyze stock market data using time series analysis and learn how to build predictive models for stock prices and market trends.
  • Banking Problem: Learn to solve real-world banking problems using machine learning models. Work on problems such as fraud detection, credit risk assessment, and improved decision-making.
  • AI Chatbot: Work on creating powerful chatbots powered by AI. Learn how to design a conversational AI using Natural Language techniques.
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  • Learn to create compelling resumes and strategies for making your resume ATS compliant.
  • Understand how to create a job search strategy and align your LinkedIn with target job roles.
  • Take Mock Interviews with real-time hiring managers along with actionable feedback on how you can perform better.
  • Get access to our network of 3,100+ hiring partners and early access to applying for open job roles at these companies.
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Electives

  • Learn the basics of PowerBI, Data Modelling, and DAX. Then, implement Time Intelligence Functions and learn the advanced features of DAX.
  • Understand the use of Slicers, filters, and Drill-down Reports. Learn features such as Power BI Query, Q&A, and Data Insights.
  • Deep dive into Power BI Settings, Administration, and Direct Connectivity
  • Learn how to integrate PowerBI features into custom applications using the Embedded Power BI API. Then, explore the features of Power BI Mobile for accessing reports and dashboards.
  • Understand the advanced concepts of Power BI functionalities such as complex data modeling, DAX formulas, and report optimization.
  • Learn Power BI Premium and the extra features it offers.
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  • Learn the fundamentals of MLOps and the lifecycle of developing and deploying Machine Learning Models.
  • Get started with Azure machine learning service. Deploy your first machine learning model on Azure Machine Learning.
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  • Learn the importance of version control and the different types of tools that can help with version control.
  • Get introduced to Git and it’s lifecycle. Learn the standard Git commands.
  • Understand the concept of branching in git, why it is used, and how to create and use branches in git.
  • Connect your local git repository to GitHub, and learn how to authenticate to GitHub using SSH and HTTP.
  • Learn how to merge branches and how to resolve Merge Conflicts.
  • Understand how to work with big development teams and cross-team using Git workflows.
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  • Learn the fundamentals of Excel along with data analytics for Excel.
  • Understand the art of visualization using Excel properties along with Excel Power Tools.
  • Know how to solve classification and regression problems in Excel along with when and why to use them.
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Data Science Course Projects

Career Services

Career Services
guaranteed
Placement Assistance
job portal
Exclusive access to Intellipaat Job portal
Mock Interview Preparation
One-on-One Career Mentoring Sessions
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Career Oriented Sessions
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Resume & LinkedIn Profile Building
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Data Science Certification

Advanced Certification in Data Science and AI Click to Zoom

The Data Science courses offered aim to upskill millions of students and professionals in trending technologies through a blend of theoretical and hands-on knowledge and are taught by leading academicians.

Upon completion of this course, you will:

  • Receive an Advanced Certification in Data Science and AI from iHUB IIT Roorkee ( An Innovation Hub of IIT Roorkee). Receive live lectures from IIT Faculty & Industry Experts

Key achievements of IIT Roorkee:

  • Ranked 7th ‘Overall’ and 6th in ‘Engineering’ in India as declared by NIRF 2022
  • Ranked 175th in the world for ‘Engineering and Technology’ by QS World University Rankings 2023
  • Ranked as the 369th best institute in the world by QS World University Rankings 2023
  • Ranked as the 114th best institute in Asia by QS World University Rankings 2023

Data Science Training Review

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Data Science Training in Mountain View FAQs

Why should I learn Data Science from Intellipaat?

Intellipaat offers exclusive Data Science course in Mountain View for professionals who want to expand their knowledge base and start a career in this field. There are many reasons for choosing Intellipaat:

  • A personal mentor to track your progress
  • Immersive online instructor-led sessions conducted by SMEs
  • Extensive LMS, allowing you to view recorded sessions within 3 hours
  • Real-time exercises, assignments, and projects
  • 24/7 learning support
  • Large community of like-minded learners
  • Industry-recognized Intellipaat badge
  • Personalized job support

Intellipaat offers one of the top Data Scientist courses in Mountain View that will help you to become a Data Science expert. The courses like R Certification, Artificial Intelligence, Data Analytics, Machine Learning, Python for Data Science, Python, Business Analytics and others are hands-on practical-based training program.

To learn Data Science for free, you need to take a look at the blogs and youtube videos published by Intellipaat. Read the top blogs on its Interview Questions, Tutorial and everything about Data Science.

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