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Enroll in Python for data science course in New York City for comprehensive training in machine learning, data manipulation, and more. Python for data science is important for analyzing data, building models, and creating insights. Gain certification through hands-on projects and expert guidance, 24/7. Elevate your skills and knowledge in the vibrant learning environment of the city.
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Course PreviewThis Python for data science course in New York City brings MNC career opportunities. It fosters expertise in Naïve Bayes classifier, Pandas data management, Lambda functions, support vector machines (SVM), and advanced concepts.
Register today and become a certified Data Scientist.
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Python
Data Science
Data Analysis
Data Wrangling
Machine Learning
Prediction algorithms
Model
Data visualization
$176
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The basics of the Python programming language, how you can use various IDEs for Python development like Jupyter, Pycharm, etc.
Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.
Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding.
The Data Science capstone project focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals:
Housing – This real estate case study will guide you towards real world problems, where a culmination of multiple features will guide you towards creating a predictive model to predict housing prices.
Data Science with Python Training Projects
Once you complete Intellipaat’s training program, having worked on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some Fortune 500 companies.
Upon completing the Data Science Python course and passing the exam, you’ll be awarded a certificate with lifelong validity, issued through our recognized Learning Management System (LMS), endorsed by leading global organizations.
For Intellipaat certification in Python for Data Science training in New York, you must complete all assignments and projects, guided by Industry experts in live classes. Upon course completion, you’ll be awarded the certification.
Land Your Dream Job Like Our Alumni
Python for data science is the use of Python programming language and its libraries like NumPy, Pandas, and Matplotlib to analyze, visualize, and extract insights from data, making it a powerful tool for data professionals.
Intellipaat offers courses on Big Data Hadoop, Data Science, Machine Learning, Artificial intelligence, Python Course, Data Analysis Course, and Business Analytics Certification
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.