About this Event
Data Science with Python Weekend Training – 4-Day Practical Bootcamp
Looking to build a career in data science or upgrade your analytics skills? Join our 4-Day Data Science with Python Certification Bootcamp, a hands-on training program designed to help you master the essential tools and techniques used by modern data professionals.
This intensive data science training focuses on practical learning, enabling you to work with real datasets, perform analysis, and build predictive models using Python. From understanding raw data to generating meaningful insights, this program walks you through the complete data science lifecycle.
Whether you are a beginner or a working professional, this data science certification course will help you develop the confidence to solve real-world business problems using data.
What You’ll Gain from This Data Science Certification
This program is designed to give you job-ready skills in data science with Python through real-time learning and applied concepts.
• Strong foundation in Python for data science applications
• Hands-on experience with data cleaning and preprocessing
• Ability to analyze and interpret structured and unstructured data
• Skills to create impactful data visualizations
• Understanding of statistics used in data science
• Exposure to machine learning algorithms and predictive modeling
• Practical project experience to build your portfolio
• Recognition through a data science certification
Key Learning Areas
Python for Data Science: Learn Python basics and how it is applied in analytics and automation.
Data Wrangling & Preparation: Handle missing data, transform datasets, and prepare data for analysis.
Data Analysis & Visualization: Generate insights using visualization tools and storytelling techniques.
Statistics for Data Science: Understand key statistical concepts used in real-world analytics.
Machine Learning Basics: Explore regression and classification models used in data science projects.
Capstone Project: Work on a real-time project to apply your learning across the entire workflow.
Course Highlights
• 4-day instructor-led data science classroom training
• Hands-on labs with real business datasets
• Practical assignments and mini projects
• Interactive sessions with expert trainers
• Study materials and reusable code notebooks
• Career guidance for data science roles
• Certificate of completion for data science certification
Who Should Attend?
This data science with Python training is perfect for:
• Aspiring data science professionals
• IT professionals transitioning into analytics
• Business analysts and consultants
• Students and recent graduates
• Anyone interested in earning a data science certification
Why Choose Data Science with Python?
Python has become the backbone of data science, analytics, and machine learning. Its simplicity, flexibility, and powerful libraries make it the most preferred language for data professionals worldwide.
Completing a data science certification with Python can open doors to roles such as:
• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Business Intelligence Analyst
Group Discount Offerings:
- 10% OFF for 3–5 participants
- 15% OFF for 6–10 participants
- 20% OFF for 15+ participants
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: 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
901 W Civic Center Dr, 901 West Civic Center Drive, Santa Ana, United States
USD 4499.00
