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Data Science Course in New York

96,569 Ratings

Rated #1 Data Science Course by India TV

Our Data Science course in New York helps you master Data Analytics, Git, Machine Learning algorithms, TensorFlow, etc. Learn from industry experts and master data science skills while working on real-time projects. Get the best online Data Science training in New York from top Data Scientists.

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Microsoft
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Data Science Training in New York 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
Mouthshut 24542

Data Science Course Overview

What will you learn in this Data Science training in New York?

Intellipaat is a premier online training institute that helps you master concepts as given below:

  1. Roles and responsibilities of a Data Scientist
  2. Machine Learning algorithms
  3. Integrating R with the Hadoop ecosystem
  4. Installing Impala for parallel processing applications
  5. Clustering, analysis segmentation, and prediction
  6. Data interpretation, plotting techniques, and sampling methods
  7. Linear and logistic regression
  8. Deploying recommender systems

Intellipaat’s Data Science classes in New York, NYC, are exclusively designed by industry experts for:

  • Big Data, BI, and Analyst Professionals
  • Big Data Statisticians
  • Machine Learning Professionals
  • Predictive Analytics and Information Architects
  • Those looking for a Data Science career

Anybody can take up this program regardless of prior skills. Although, some knowledge of statistics and mathematics is beneficial.

It is the undisputed business and financial capital of the world. Due to this, NYC has an enviable list of business enterprises from different sectors such as banking, finance, media, entertainment, manufacturing, hospitality, information technology, and more. All these companies are ready to pay top-dollar salaries to qualified and certified Data Scientists.

The average annual salary of Data Scientists as per Indeed is US$122,801.

  • 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 2.7 million per year as per IBM – Forbes
  • The global Big Data market will achieve US$122 billion in sales in 6 years – Frost & Sullivan

The demand for Data Scientists far exceeds the supply. This is a serious problem in a data-driven world that we are living in today. As a result, most organizations are willing to pay high salaries for professionals with appropriate skills.

Our Data Scientist training online will help you become proficient in Data Science, R programming, data analysis, Big Data, and more. Thus, you can easily accelerate your career in this evolving domain and take it to the next level.

Top companies that hire Data Scientists are:

  • Fidelity Investments
  • Accenture
  • Aon
  • Oath
  • MSD
  • Intel
  • Amazon
  • Google

In this course, we have included real-world industry-based projects, which help you gain hands-on experience in the field and prepare you for challenging roles.

Industry Project Name Objective
BFSI Fraud Detection in Banking System Deploying Data Science to detect fraudulent activities and take remedial actions
Entertainment Movie Recommendation Engine Building a movie recommendation engine, based on user interests
E-commerce Making Sense of Customer Buying Patterns Deploying target selling to customers
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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 New York

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 entire Data Science course in NYC is designed by industry professionals for you to get the best jobs in top MNCs. As part of these Data Science online programs, you will be working on various projects and assignments that have immense implications in real-world scenarios. They will help you fast-track your career effortlessly.

At the end of this Data Science online program, there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams. They will help you score better.

Intellipaat’s course completion certificate will be awarded to you when you complete the project work and score at least 60 percent marks in the quiz. This certification is well recognized by the top 80+ MNCs, such as Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Standard Chartered, TCS, Genpact, etc.

Data Scientist Course in New York Reviews

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Data Science Training in New York FAQs

Why should I learn Data Science from Intellipaat?

Intellipaat offers an exclusive Data Science course in New York, NYC, 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 New York City that will help you to become a Data Science expert. The courses like Data Analytics, R Certification, Artificial Intelligence, Machine Learning, Python for Data Science, Python, Business Analytics online course 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.

This online training is curated by top Data Scientists from India and the United States. These SMEs have designed the course in such a manner that even if you are from a non-technical background and have almost zero knowledge of this domain, you can still learn and adapt all concepts easily. Also, we provide practical experience through real-time projects that allow even freshers to easily grasp the concepts.

Intellipaat’s teaching assistants are SMEs whose main aim is to make you a certified professional in the respective domain. The trainers conduct interactive video lectures to teach the latest technologies and enrich your experience with various industry-based projects. The teaching assistance provided by Intellipaat is only available during regular hours.

Intellipaat does not directly forward resumes to any companies or recruiters. However, we do have a placement team that will conduct a number of mock interviews and will assist you in updating your resume to prepare you for job interviews. The team thus helps you land a lucrative job in the domain.

If you wish to enroll in our Data Scientist training in New York, then you need to first make a choice between online instructor-led training and self-paced training. Once you do that, you can make the payment using any major credit card, debit card, or EMI options.

Intellipaat online course comprises all the topics that are required and significant to learn so that you can master this technology. Intellipaat’s course comprises both basic and advanced-level concepts involved in this technology so that you can learn them and master the skills to pursue a career in this domain. Moreover, the trainers of this course are experts in the domain who spend time and effort to teach you all the concepts in detail.

In the career mentoring session at Intellipaat, our Data Science experts offer solutions to all your queries that are based on career opportunities and the growth available in this domain.

Since it involves various aspects of advanced technologies, such as Machine Learning, Deep Learning, and Artificial Intelligence, among others, it is comparatively difficult to learn. However, Intellipaat’s Data Science training is offered by experts in this domain who have a lot of experience in the field. They make all concepts easier to understand as they explain each concept with the help of several real-life examples.

Intellipaat selects subject matter experts from top MNCs, who have at least 8 to 12 years of experience in the domain, as instructors. They are qualified instructors and are selected after going through our rigorous selection process and proving their capabilities.

The Data Scientist market in NYC is booming at an extremely torrid pace. Due to the sheer size of New York City, there is increased growth in the Data Science market making it worthwhile for certified Data Scientists to get a job of their preference.

Intellipaat is one of the most affordable e-learning providers today. It offers both online training and self-paced training, and you can avail them at their respective costs. Our self-paced training costs about US$264, while our online instructor-led training for the same costs US$399.

Intellipaat provides various group offers and discounts for its online training as per the size and type of the particular group. If you wish to avail the discount, you need to get in touch with our course advisors who will explain to you all the details regarding it.

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