Python for Data Science Certification | 4-Day BootCamp in New York, NY

Kick-start your journey into the world of Data Science with our immersive 4-Day Data Science with Python Classroom Bootcamp. This hands-on training program is designed to help you develop practical skills in Python programming, data analysis, visualization, and introductory machine learning using real-world datasets.

Through this instructor-led classroom experience, participants will learn how to collect, process, and analyze data while gaining the confidence to solve real business problems with data-driven insights.

The Data Science with Python training focuses on practical learning by combining coding exercises, interactive sessions, and project-based activities. By the end of the bootcamp, learners will understand how to transform raw data into meaningful insights and build predictive models using Python — one of the most powerful and widely used languages in the analytics ecosystem.

This program blends theory with real industry use cases, helping professionals build strong foundations in modern data science and analytics workflows.

Instead of focusing only on theory, this bootcamp emphasizes hands-on learning and practical implementation across the full data science lifecycle.

• Python Programming for Data Science: Understand Python fundamentals and configure your development environment for working with data.
• Data Preparation & Wrangling: Learn how to clean, transform, and organize datasets using powerful libraries like Pandas and NumPy.
• Exploratory Data Analysis & Visualization: Discover how to uncover insights and trends by visualizing data with tools such as Matplotlib and Seaborn.
• Statistical Techniques for Data Analysis: Apply descriptive and inferential statistics to better interpret datasets and support decision-making.
• Machine Learning Foundations: Build simple predictive models including regression and classification using Scikit-learn.
• Capstone Data Science Project: Work on a practical mini project that demonstrates the complete data science workflow using real-world data.
• Career & Industry Guidance: Receive guidance on data science career paths, resume building, and interview preparation.

• 4 days of instructor-led classroom training
• Practical hands-on labs using real datasets
• Mini capstone project for applied learning
• Course materials and Python notebooks provided
• Career guidance and mentoring support
• Digital resources and reference materials included

• Practical Python programming for analytics
• Data cleaning, transformation, and visualization techniques
• Introduction to machine learning concepts
• Project-based hands-on learning approach
• Expert trainers with industry experience
• Interactive sessions with live Q&A
• Certificate of completion after training

This Data Science bootcamp is ideal for:

• Aspiring Data Scientists and Data Analysts
• IT professionals and software developers
• Business analysts and consultants
• Students and recent graduates interested in analytics
• Professionals planning a transition into data-driven roles
  

• 10% OFF for 3–5 participants
• 15% OFF for 6–10 participants
• 20% OFF for 15+ participants

Day 1: Python Fundamentals & Data Handling
Day 2: Data Cleaning, Wrangling & Visualization
Day 3: Statistics & Machine Learning Basics
Day 4: Predictive Modeling, Projects & Career Guidance

(A detailed agenda will be shared with registered participants.)

Python has become the most widely used programming language for data science, analytics, and machine learning. Organizations across industries rely on Python-based data solutions to drive decision-making, optimize operations, and build intelligent systems.

Learning data science with Python opens doors to high-demand careers in analytics, artificial intelligence, and business intelligence.

iCert Global is a global provider of industry-aligned professional training in data science, analytics, IT, and emerging technologies. Their programs combine practical application with expert instruction, preparing professionals for high-demand roles in today’s data ecosystem.

PMP, Agile & Scrum, ITIL, Lean Six Sigma, CCNA, Cloud Computing, Cybersecurity, AI & Machine Learning and more.

For any queries related to the exam, location, course material or more, please connect on:

Phone: +1 713-287-1187
Email: Website: www.icertglobal.com

Info: Python setup & environment (Anaconda, Jupyter Notebook)

Python basics: variables, data types, control flow, functions

Working with lists, tuples, dictionaries, and sets

Data input/output and file handling

Introduction to NumPy for numerical computing

Hands-on: Data exploration with Python

Info: Data cleaning, filtering, and transformation with Pandas

Handling missing and duplicate data

Merging and concatenating datasets

Data aggregation and group operations

Visualization with Matplotlib and Seaborn

Practical exercises: Visual storytelling with charts and plots

Hands-on: Real dataset analysis

Info: Descriptive statistics & inferential statistics

Probability concepts for analysis

Regression fundamentals (linear & logistic)

Evaluating model performance (accuracy, RMSE, ROC, confusion matrix)

Introduction to classification and clustering

Hands-on: Build & evaluate ML models using Scikit-learn

End-to-end mini ML project

Info: Introduction to advanced concepts (feature engineering, model tuning)

Unsupervised learning fundamentals (K-Means, PCA)

Capstone mini project: from data collection to model building

Interpreting and presenting analytical results

Career roadmap & interview preparation tips

Q&A and revision session

Know what’s Happening Next — before everyone else does.

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Host or Publisher iCertGlobal