About this Event
Data Science with Python Programming – 4-Day Instructor-Led Bootcamp
Advance your career in the rapidly growing analytics industry with our Data Science with Python Programming Training. This hands-on data science course is designed for beginners and professionals who want to build strong skills in Python for data science, data analysis, visualization, and machine learning.
This intensive 4-day data science training program focuses on real-world datasets, interactive labs, and practical business scenarios. Participants will learn how to apply data science techniques using Python to extract insights, build predictive models, and support data-driven decision making.
Whether you are starting your journey in analytics or expanding your technical skillset, this data science with Python certification training prepares you for high-demand roles in data science and machine learning.
Why Join This Data Science with Python Training?
Our data science training program provides a structured learning experience combining theory, practice, and real industry applications.
Key Benefits of This Data Science Course:
• Comprehensive data science training using Python programming
• Hands-on exercises with real-world datasets and analytics tools
• Learn essential Python libraries for data science such as Pandas, NumPy, and Matplotlib
• Instructor-led data science bootcamp with practical examples
• Project-based learning aligned with real business use cases
• Develop job-ready data science and machine learning skills
• Career guidance to support your transition into data science roles
This program is ideal for learners searching for a practical data science course with Python that focuses on real implementation rather than theory alone.
Core Skills You Will Learn in Data Science with Python
This data science certification training equips you with essential analytical and technical skills used by professional data scientists.
During this data science training with Python, you will learn to:
• Understand the complete data science lifecycle and workflow
• Perform data cleaning, transformation, and exploratory data analysis
• Use Python for data analysis and statistical computations
• Create impactful data visualizations for business insights
• Apply statistical techniques in data science projects
• Build and evaluate machine learning models using Python
• Work with real datasets using Python libraries such as Pandas and NumPy
By the end of the program, you will gain the confidence and practical experience needed to apply data science techniques in real-world scenarios.
Who Should Attend This Data Science Course?
This Data Science with Python training program is suitable for professionals from various technical and business backgrounds.
Recommended for:
• Aspiring Data Scientists and analytics professionals
• Data Analysts and Business Analysts looking to upgrade skills
• IT professionals transitioning into data science careers
• Python developers interested in data analytics and machine learning
• Students and graduates planning to enter the data science field
• Professionals seeking practical data science and machine learning skills
Career Opportunities After Data Science with Python Training
Completing this data science certification course can help you pursue multiple high-demand roles in analytics and artificial intelligence, including:
• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Business Intelligence Analyst
• Analytics Consultant
• Python Developer (Data & AI Focus)
With the increasing demand for skilled analytics professionals, this data science training with Python helps you build the expertise needed to succeed in modern data-driven organizations.
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
2600 South Shore Blvd, 2600 South Shore Boulevard, League City, United States
USD 3999.00








