Become a Data Science Pro: 4-Day Python Weekend Bootcamp in Wheeling, WV
This is a 4-day practical bootcamp focused on data science with Python. Participants will develop skills in data cleaning, analysis, visualization, statistics, and basic machine learning to solve real-world problems. It is suitable for beginners and professionals seeking a certification and hands-on experience in data science.
Details
- Date
- Start time
- 09:00
- Venue
- 300 Wharton Cir
- Address
- 300 Wharton Circle, Triadelphia, WV 26059, Triadelphia, WV, US
- City
- Triadelphia
- Country
- United States
- Format
- In person
- Price
- USD 4499
- Language
- en-US
- Type
- Hackathon
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