Boost Your Data Science Expertise – 1 Day Workshop in Denver, CO
Schedule
Mon, 13 Oct, 2025 at 09:00 am to Wed, 10 Dec, 2025 at 05:00 pm
UTC-06:00Location
Regus - Denver - Denver Place | Denver, CO
About this Event
Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Stay nourished with lunch, snacks, and beverages available during the session.
Course Overview:
The Data Science & Analytics – 1 Day Workshop in Denver is specifically designed for professionals aiming to build a strong foundation in data science and analytics. With Denver becoming a hub for tech-driven innovation, this course offers practical insights into data analysis techniques, statistical models, and the essential tools required to thrive in the rapidly evolving data landscape. Whether you're working in finance, healthcare, or technology, this course will empower you to leverage data-driven decision-making to solve real-world business problems.
This course provides the knowledge and skills you need to interpret and analyze data efficiently, use machine learning techniques, and master visualization tools. By the end of the course, you will be equipped to contribute to data-driven strategies that can boost innovation, improve operational efficiency, and drive business growth.
Learning Objectives:
By the end of this course, you will be able to:
Understand the fundamentals of data science and its applications in various industries
Use essential data analysis and visualization tools
Build predictive models using machine learning techniques
Analyze and interpret data to make business decisions
Create compelling data visualizations to communicate insights
Apply data science to real-world business problems in Denver’s growing tech sector
Target Audience:
This course is ideal for:
Business professionals and analysts who want to incorporate data science into their work
Data enthusiasts looking to deepen their understanding of analytics tools and techniques
Entrepreneurs and startups interested in using data-driven decision-making
Individuals looking to switch to data science roles or enhance their career prospects in Denver's tech industry
In the fast-paced, data-driven business landscape of Denver, harnessing the power of data science is key to staying ahead. This course empowers your team with the skills to turn data into strategic insights using tools like Python, R, and Power BI. By mastering data analysis, machine learning, and visualization techniques, your team will be equipped to make informed, data-backed decisions that drive innovation and business growth. Designed for Denver's dynamic tech sector, this course ensures your team can apply these skills immediately to tackle real-world challenges and enhance your organization's competitive edge.
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Enjoy 10% off when 3 or more register together and 15% off for groups of 10 or more.
Want this training tailored to your company?
Our in-house option brings Data Science & Analytics directly to your team in Denver, making it highly relevant to your projects. Delivered on-site, this 1-day workshop equips your staff with practical tools, case studies, and strategies they can apply immediately. It’s a convenient and cost-effective way to strengthen your team's data capabilities and build a proactive data-driven culture—without travel or downtime.
📧 Contact us today to schedule a customized in-house session:
Agenda
Welcome & Introduction
Info: • Course goals and structure
• Participant introductions and expectations
Module 1: Introduction to Data Science
Info:
• What is Data Science? Overview of its importance in today's business landscape
• Key concepts: Data cleaning, exploration, and transformation
• Activity:
Module 2: Analytics Tools and Techniques
Info:
• Introduction to tools: Python, R, Excel, and Power BI
• Data preprocessing and feature selection techniques
• Activity
Module 3: Statistical Analysis & Modeling
Info:
• Basic statistical concepts (mean, median, variance, etc.)
• Building regression models and predictive analytics
• Activity
Module 4: Machine Learning Techniques
Info:
• Introduction to machine learning algorithms: Supervised vs unsupervised learning
• Use cases for machine learning in business applications
• Activity
Module 5: Data Visualization
Info:
• Importance of visualizing data to communicate insights
• Tools for data visualization: Power BI, Tableau, and Matplotlib
• Activity
Module 6: Data Science in Business Decision Making
Info:
• Case studies of data science driving business innovation in Denver’s tech sector
• Building data-driven strategies for business success
• Role Play
Where is it happening?
Regus - Denver - Denver Place, 999 18th Street#UNIT 3000, Denver, United StatesEvent Location & Nearby Stays:
USD 468.44 to USD 572.14
