HackathonIn person

Data Science Pro: 4-Day Python Weekend Bootcamp in Grand Prairie, TX

09:004112 S Carrier Pkwy, Grand Prairie, United States

This 4-day bootcamp offers practical training in data science using Python. It covers key skills like data cleaning, analysis, visualization, statistics, and basic machine learning, aimed at beginners and professionals looking to build or upgrade data skills. Participants gain hands-on experience and a data science certification to support career development.

Details

Date
Start time
09:00
Venue
4112 S Carrier Pkwy
Address
4112 South Carrier Parkway, Grand Prairie, TX 75052, Grand Prairie, TX, US
City
Grand Prairie
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

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