Data Science with Python Course in New York Overview
iCertGlobal’s 4-Day Data Science with Python bootcamp will teach you how to turn raw data into meaningful insights using Python. Work with real datasets and learn how data is collected, cleaned, explored, visualized, and analyzed. Learn how to apply these insights to real-world business situations. Through practical exercises and real-world case studies covered in the Data Science with Python Certification Training in New York, you’ll learn how to work with NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn. Throughout the Data Science with Python Course in New York, you’ll develop the practical skills necessary to manipulate datasets, uncover patterns, create meaningful visualizations, and build basic machine learning models. Gain expertise in evaluating model performance and understand key concepts such as regression, classification, overfitting, and model selection. By the end of the Data Science online certification training, you’ll be able to use Python to analyze data, communicate insights through visualizations, and apply foundational machine learning techniques to practical problems.
Data Science with Python Certification Training in New York Highlights
4-day Interactive Training
Attend the Data Science online certification training - build practical Data Science and Python skills through live instructor-led sessions with industry experts.
Flexible Learning Schedule
Choose a training schedule that fits your routine: evening, weekday, or weekend classes.
Interactive Jupyter Labs
Practice Python, data analysis, visualization, and machine learning through hands-on Jupyter Notebook exercises.
24×7 Technical Support
Get continuous assistance for your technical questions and learning-related challenges throughout your training journey.
Interactive Learning Experience
Engage in discussions, ask questions, exchange ideas, and learn collaboratively with trainers and fellow participants.
Simplify Complex Python Problems
Develop practical problem-solving skills and learn how to approach complex Python and data-related tasks more effectively.
Career Relevance
In today's data-driven world, the ability to harness the power of machine learning, analytics, and statistical modeling is crucial for professionals in the New York, NY area. As a result, the Data Science with Python course is specifically designed to equip learners with the skills required to drive business growth and improve decision-making processes. By enrolling in this course, learners will gain a comprehensive understanding of the Python programming language and its applications in data science.
They will learn to implement machine learning algorithms, work with data visualization tools, and develop statistical models to analyze and interpret complex data sets. This knowledge will enable learners to make data-driven decisions and drive business success in the competitive New York, NY market. Upon completion of the course, learners will possess the skills required to analyze and interpret large data sets, identify trends and patterns, and develop predictive models to forecast business outcomes.
These skills will be invaluable in a range of industries, from finance to healthcare, and will enable learners to take on leadership roles in data-driven organizations. This course is designed to bridge the gap between theoretical knowledge and practical application, with a focus on real-world scenarios and case studies. Through hands-on exercises and projects, learners will develop a deep understanding of the concepts and techniques taught in the course, and be able to apply them in their own work.
Corporate Training
Ready to transform your team?
Get a custom quote for your organization's training needs.
Skill Development
The Data Science with Python course is specifically designed to address a critical skill gap in the industry, particularly in the New York, NY area. Many professionals are looking to transition into data science roles or upgrade their skills to take on more challenging projects. However, they often lack the knowledge and expertise required to work with complex data sets, implement machine learning algorithms, and develop statistical models.
To address this skill gap, the course provides a comprehensive curriculum that covers the fundamentals of data science, including data preprocessing, feature engineering, and model evaluation. Learners will also gain hands-on experience with popular data science tools and technologies, including Python libraries such as Pandas and NumPy. Upon completion of the course, learners will possess the skills required to take on data science roles and contribute to business success in the New York, NY market.
They will be equipped to work with large data sets, develop predictive models, and drive data-driven decision-making processes.
Upcoming Schedule
Where your classroom training takes place
Note: The training location may be subject to change depending on the number of participants registered for the session and participant convenience. Confirmed venue details will be shared by email after enrollment.
Skills You Will Gain in Our Data Science with Python Certification Training in New York
Python Programming
Build a strong foundation in Python syntax, data structures, functions, and programming logic for data science tasks.
NumPy & Pandas
Work efficiently with datasets using NumPy for numerical computing and Pandas for data manipulation and analysis.
Data Exploration
Learn how to examine datasets, identify patterns, spot inconsistencies, and understand the story behind the data.
Data Wrangling
Clean, transform, and organize raw data into a usable format for analysis and modeling.
Statistical Data Analysis
Use fundamental statistical concepts to understand data, identify relationships, and support data-driven conclusions.
Hypothesis Building
Formulate meaningful questions and test assumptions using data and statistical techniques.
Data Visualization
Turn complex datasets into clear charts and visual insights using Python visualization libraries.
Web Scraping
Learn how to collect useful data from websites using Python-based web scraping techniques.
Machine Learning
Understand core machine learning concepts and learn how to build models that can identify patterns and make predictions.
Mathematical Computing
Apply mathematical and numerical techniques to solve data science problems and support analytical models.
Deep Learning & Neural Networks
Explore the fundamentals of neural networks and understand how deep learning can be used to solve complex data problems.
Who Should enroll in Data Science with Python Certification Training in New York?
Marketing Professionals
Project Managers
Business Analysts
Healthcare Analysts
Researchers
Data Engineers
Entrepreneurs
Statisticians
IT Professionals
Innovators
If you have a solid analytical mindset, basic programming exposure, and are tired of being overlooked for high-impact Python-based roles, this intensive training in Python and statistical modeling is your required path to a Data Scientist title.Opening doors to entry level data science jobs as well as advanced roles.
Practical Application
The Data Science with Python course is designed to equip learners with the skills required to work as data scientists, with a focus on practical application and real-world scenarios. Learners will develop a comprehensive understanding of data science concepts and techniques, including machine learning, analytics, and statistical modeling.
Through hands-on exercises and projects, learners will gain a deep understanding of the concepts and techniques taught in the course, and be able to apply them in their own work. The course will cover a range of topics, including data preprocessing, feature engineering, and model evaluation, as well as popular data science tools and technologies such as Python libraries.
Upon completion of the course, learners will possess the skills required to take on data science roles and contribute to business success in the New York, NY market. They will be equipped to work with large data sets, develop predictive models, and drive data-driven decision-making processes.
Data Science with Python Course in New York Roadmap
Why Get Data Science Python Certified?
Build Job-Ready Python Skills
Strengthen your Python skills and learn how to use popular libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn for data science tasks.
Turn Data into Insights
Learn how to collect, clean, explore, analyze, and visualize data to uncover meaningful patterns and support better decisions.
Strengthen Statistics & Probability Skills
Develop a practical understanding of statistics and probability and learn how they support data analysis and machine learning.
Build Confidence with Practical Learning
Practice Python, data analysis, visualization, and machine learning through guided exercises and hands-on activities.
Earn a Shareable Career Certificate
Demonstrate your expertise with a globally recognized certificate that you can share with employers, colleagues, and professional networks to showcase your Data Science with Python skills.
Eligibility & Prerequisites for Data Science with Python Certification Training in New York
The Data Science with Python Certification Training in New York doesn’t require learners to meet any strict eligibility criteria. You can consider a few things before enrolling in the Data Science with Python Certification Training in New York program:
A high school diploma or undergraduate degree is sufficient to enroll in the course.
A basic understanding of programming concepts is recommended. Familiarity with Python can help you follow the practical exercises more comfortably, but advanced programming experience is not required.
A foundational understanding of statistics and probability can make it easier to understand data analysis and machine learning concepts. However, it is not a mandatory prerequisite.
You should have an interest in working with data and learning how Python can be used to analyze, visualize, and interpret information.
Skill Gap
The Data Science with Python course is specifically designed to equip learners with the skills required to take on data science roles in a range of industries, including finance, healthcare, and marketing. Learners will gain a comprehensive understanding of data science concepts and techniques, including machine learning, analytics, and statistical modeling.
The course will cover a range of topics, including data preprocessing, feature engineering, and model evaluation, as well as popular data science tools and technologies such as Python libraries. Learners will also gain hands-on experience with real-world data sets and case studies, allowing them to develop a deep understanding of the concepts and techniques taught in the course.
Upon completion of the course, learners will possess the skills required to work as data scientists, with a focus on practical application and real-world scenarios. They will be equipped to work with large data sets, develop predictive models, and drive data-driven decision-making processes in the New York, NY market.
Course Modules & Curriculum
Lesson 1: Introduction to Statistics for Data Science
A brutal, practical overview of descriptive statistics, probability distributions, and inferential concepts (sampling, Central Limit Theorem). Focus on application, not academic proofs.
Lesson 2: Hypothesis Testing I (T-Tests and ANOVA)
Master the core process of hypothesis formulation, test selection, and p-value interpretation. Hands-on implementation of T-tests and ANOVA in Python for comparing means and making valid conclusions.
Lesson 3: Hypothesis Testing II (Chi-Squared and Non-Parametric)
Apply Chi-Squared tests for categorical data analysis. Understand when to use non-parametric tests and implement them using Python's Statsmodels, ensuring you never draw a statistically invalid conclusion from real-world data.
Lesson 1: Regression Analysis
Master the assumptions and interpretation of Simple and Multiple Linear Regression. Learn model diagnostics, variable selection, and how to effectively communicate model coefficients to business leadership using Scikit-learn.
Lesson 2: Classification Models (Logistic Regression)
Dive deep into Logistic Regression for binary classification problems. Understand concepts like log-odds, ROC curves, AUC, and how to set appropriate threshold values for optimal business impact using Scikit-learn.
Lesson 3: Tree-Based Models (Decision Trees & Random Forests)
Implement powerful non-linear classification models. Master Decision Trees and Random Forests in Python, learning hyperparameter tuning and variable importance interpretation for robust, high-accuracy predictions.
Lesson 1: Clustering Techniques
Master K-Means and Hierarchical Clustering for identifying hidden customer segments or data anomalies. Learn to interpret cluster validity and size for actionable business strategy using Scikit-learn.
Lesson 2: Association Rule Mining and Model Persistence
Implement the Apriori algorithm for Market Basket Analysis. Learn best practices for model object saving/loading using joblib or pickle for production deployment.
Lesson 3: Advanced Data Visualization
Master Matplotlib and Seaborn to create complex, informative, and visually compelling plots (scatter plots, box plots, heat maps) to clearly communicate model findings and data insights.
Lesson 1: Model Evaluation and Validation
Master key performance metrics (Accuracy, Precision, Recall, F1-Score) and techniques like cross-validation to ensure your models are robust and perform reliably on unseen data.
Lesson 2: Database Connectivity and Advanced Data Sourcing
A practical overview of connecting Python to relational databases (PostgreSQL/MySQL) using libraries like SQLAlchemy—a mandatory enterprise skill.
Lesson 3: Advanced Reporting and Productionization
Learn to create dynamic, reproducible reports and dashboards using Jupyter Notebooks. Final project consolidation, code optimization, and best practices for creating REST APIs for model serving.
Data Science with Python Certification & Exam FAQ
Work Responsibilities
Data scientists with a focus on machine learning and statistical modeling are in high demand, particularly in the New York, NY area. The Data Science with Python course is specifically designed to equip learners with the skills required to take on data science roles and contribute to business success in a range of industries.
Learners will gain a comprehensive understanding of data science concepts and techniques, including machine learning, analytics, and statistical modeling. The course will cover a range of topics, including data preprocessing, feature engineering, and model evaluation, as well as popular data science tools and technologies such as Python libraries.
Upon completion of the course, learners will possess the skills required to work as data scientists, with a focus on practical application and real-world scenarios. They will be equipped to work with large data sets, develop predictive models, and drive data-driven decision-making processes in the highly competitive New York, NY market.
Customer Testimonials
Great class, very informative.
James Conklin
Great PMP<sup>®</sup> Bootcamp. I had a great time taking this course. I took the course to prepare to sit for the CAPM<sup>®</sup> but may be able to sit for the PMP<sup>®</sup>. I learnt a lot was challenging. Great course. We need one more day. Content was very detailed.
Karle Scroggins
it was a great class. Lots of energy. And I enjoyed.
John Denke
Fantastic course to prepare for PMP<sup>®</sup> exam.
Kevin Hambrice
As a participant it was smooth sailing for me.
Eric S. Tumlinson
Trainer was excellent. Shared good resources and good experiences.
Khemoni Holmes
Good content and training.
Dennis Glover
I wanted to let you know that I took and passed the PMP exam. Thanks to iCertGlobal and especially my Cincinnati course instructor, who was an excellent teacher and helped me immensely.
Steve Ditty
Trainer was good. Trainer was very engaged and interacting. Very much satisfied with the training.
Stefan Long
I was pleasantly surprised at the quality of this training. Yomi was awesome as a trainer and working to make sure that we understood the concepts. Controlling Cost and Controlling Risk are the most complicated, but Yomi spent time after class working through questions to help others understand. This class also helped to change my perception of the PMP being this MONSTER to something that I can I can successfully do.
Nancy Davis
Great class with a lot of information and tips to prepare for the exam
John Eric Nelson
It was a great course, covered all the things that i ended up hitting road bumps on. I was the only one in the class, but the trainer was just as involved as if it had been a full class.
Mark Butler
I was nervous about taking it online versus classroom; but I am actually glad I took it online. Instructor was very great and gave a good learning experience with his relevant project management experience.
Xeng Yang
The training was very intense but covered with course material. It was more than I expected.
Bernadette Gilliam
I thought the class was very informative. The instructor did an excellent job breaking down each chapter to where it was easy to understand. I was also very impressed with his commitment to help us pass ever after the class is over.
Taylor Mitchell
Excellent training. Instructor was very knowledgeable and explained information in an understandable way
Sandra Hamilton Allen
Quality Materials presented, Instructor very knowledgeable. Exceeded my expectations.
Anthony Muldrow
The training is a great introduction into the PMI mindset. Very informative and helpful
Bryan Tamburro
Build In-Demand Skills
Explore our instructor-led Data Science with Python training to learn about the course duration, cost, eligibility, and certification process. You get practical learning, exam-focused preparation, and expert guidance. Ready to get started? Compare Data Science with Python certification training options and choose a classroom or live online format that fits your schedule.
Course & Support
Data Science with Python Training in Other Cities
Explore Our Data Science with Python certification training is available in a city near you
