%20(2).jpg&w=1536&q=75)
AI-Powered Data Science for Professionals - Foundations
This course equips professionals with foundational data science skills in just 4 weeks, focusing on real-world applications.
This course is no longer available.
Explore other coursesCourse overview
Learn foundational data science skills in 4 weeks with real-world applications
This AI-Powered Data Science course provides foundational skills and knowledge in data science, equipping you to clean, analyze, and model data effectively. Over 4 weeks, you’ll learn practical techniques to work with real-world data and gain a step-by-step understanding of essential processes, from exploratory analysis to basic predictive modeling.
By the end of the course, you’ll gain foundational knowledge in data science concepts, practical experience through hands-on exercises, and a portfolio-ready project that showcases your ability to apply these skills to relevant challenges in your field.
Who This Course Is NOT For
- Those Unwilling to Work with Code:
While much of the coding will be done using AI tools, and you won’t need to write code yourself, a basic understanding and willingness to engage with the process is key. Remember, anyone can code with AI. For those new to Python, I’ll provide a Quick Start Guide to help you get comfortable.
- Those Not Ready to Commit to Learning:
This course requires focus and effort over 4 weeks. I want every student to get the most out of the experience, so it’s important to actively participate, practice, and embrace the challenges of learning data science.
Early Bird Discount: Use Code EARLY10 for 10% OFF – Limited Time Only!
Who is this course for
01
For Mid-to-High-Level Professionals: Future-Proof Your Career. Learn the power of data science to enhance your decision-making.
02
For Managers and Leaders: Confidently Leverage Data Insights. Learn to interpret data and extract actionable insights.
03
For IT, Finance, HR, and Other Professionals: Unlock Data-Driven Potential. Transform your ability to work with data by learning foundation.
04
For Data Analysts: Advance to the Next Level. Move beyond basic analysis and reporting to advanced data analysis.
05
For Aspiring Data Scientists: Build Your Foundation with Confidence.
Lay the groundwork for a successful transition into data science.
What you’ll get out of this course
Foundational Data Science Skills
Gain a clear understanding of the data science process, including data cleaning, analysis, and basic predictive modeling, to confidently work with real-world data.
Hands-On Experience
Develop practical skills through guided exercises and live coding sessions, applying what you learn to real-world scenarios.
Portfolio-Ready Project
Create a comprehensive project that showcases your ability to analyze and interpret data, demonstrating your new skills to employers or stakeholders.
Practical Knowledge for Decision-Making
Gain a basic understanding of how to identify trends, patterns, and insights in data, providing a foundation for supporting data-informed decisions in your organization or career.
Confidence with Data Tools and Techniques
Build familiarity with foundational tools and techniques, enabling you to approach data science tasks with clarity and a structured methodology.
What’s included
Live sessions
Learn directly from Emmi Kim in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Week 1
Session 1: Introduction to AI-Powered Data Science
No module content yet
Session 2: Data Cleaning Basics
No module content yet
Week 2
Session 3: Exploratory Data Analysis (EDA)
No module content yet
Session 4: Data Visualization
No module content yet
Week 3
Session 5: Basics of Predictive Modeling
No module content yet
Session 6: Model Evaluation
No module content yet
Week 4
Session 7: Finalizing Your Project
No module content yet
Session 8: Presenting Your Work & Optional Office Hour
No module content yet
Meet your instructor
Emmi Kim
Emmi Kim
As an adjunct faculty member at Columbia University, teaching a master’s program in data analytics, Emmi brings over 15 years of experience in data science, financial engineering, and problem-solving. With advanced degrees in Financial Mathematics from the University of Chicago and Statistics from Columbia University, Emmi excels at breaking down complex concepts into actionable insights.
Through this course, Emmi aims to guide participants in mastering the essentials of data science, providing practical knowledge and hands-on experience to help them upskill, grow their careers, and make meaningful business impacts.
Course schedule
4-6 hours per week
Tuesdays & Thursdays
12:30 pm - 2:30 pm EST
Feb 4, 2025 - Feb 27, 2025
Weekly projects
5 hours per week
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you