About this Event
Join our 4-Day Data Science with Python Classroom Bootcamp
Become a job-ready data professional by learning Python, data analysis, visualization, and basic machine learning using real datasets and hands-on labs.
Advance your career with our 4-day Data Science with Python Classroom Training, designed to help you become proficient in data handling, analytical techniques, and predictive modeling using Python — one of the most in-demand skills in the analytics industry.
This industry-focused bootcamp blends practical coding, applied analytics, and project work, empowering you to work confidently with real business data and make data-driven decisions.
What You’ll Learn:
Rather than just theory, this bootcamp immerses you in practical Python-driven data science workflows — from data ingestion to interpretation and model building:
- Python Fundamentals for Data – Learn Python programming essentials and setup for data tasks.
- Data Manipulation & Wrangling – Use Pandas & NumPy to clean, transform, and summarize datasets.
- Exploratory Data Analysis & Visualization – Visualize data insights using Matplotlib & Seaborn.
- Statistical Analysis – Apply descriptive & inferential statistics to interpret data.
- Machine Learning Basics – Build and evaluate regression and classification models with Scikit-learn.
- Capstone Project – Apply a complete data science lifecycle project using real data.
- Career Preparation – Guidance on data science roles, interview tips, and resume focus.
Data Science with Python Training Details
- 4 Days of instructor-led classroom training
- Hands-on labs with real datasets
- Mini capstone project
- Study materials and code notebooks
- Career mentoring and interview guidance
- Soft copy resources included
Key Features of Our Data Science Bootcamp
- Practical Python programming for analytics
- Data cleaning, wrangling & visualization
- Machine learning foundations
- Project-centric hands-on labs
- Expert instructors with real industry experience
- Interactive sessions & Q&A
- Certificate of completion
Group Discount Offerings:
- 10% OFF for 3–5 participants
- 15% OFF for 6–10 participants
- 20% OFF for 15+ participants
Who Should Enroll?
Ideal for:
- Aspiring Data Scientists & Analysts
- IT & Software Professionals targeting data roles
- Business Analysts & Consultants
- Students & fresh graduates
- Professionals looking to transition into analytics
4-Day Bootcamp Structure:
Day 1: Python & Data Handling
Day 2: Data Cleaning & Visualization
Day 3: Statistics & Machine Learning Concepts
Day 4: Advanced Modeling, Projects & Career Guidance
(Detailed agenda available on next Page.)
Why Data Science with Python?
Python is the world’s leading language for data analysis and machine learning roles, widely used in analytics, business intelligence, and AI roles. As organizations become data-driven, Python data science skills open doors to high-growth careers.
About iCert Global
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.
Training We Also Offer:
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: [email protected]
Website: www.icertglobal.com
Day 1
🕑: 09:00 AM - 05:00 PM
Python Programming & Data Foundations
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
Day 2
🕑: 09:00 AM - 05:00 PM
Data Wrangling & Visualization
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
Day 3
🕑: 09:00 AM - 05:00 PM
Statistics & Machine Learning Essentials
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
Day 4
🕑: 09:00 AM - 05:00 PM
Advanced Analytics, Projects & Career Support
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
Event Venue & Nearby Stays
30211 Avenida de las Banderas, 30211 Avenida de las Banderas, Rancho Santa Margarita, United States
USD 3999.00
