AI-Powered Data Science for Professionals - Foundations

New
·

4 Weeks

·

Cohort-based Course

This course equips professionals with foundational data science skills in just 4 weeks, focusing on real-world applications.

Course 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.

This course includes

8 interactive live sessions

Lifetime access to course materials

1 in-depth lesson

Direct access to instructor

Projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Week 1

Feb 4—Feb 9

    Session 1: Introduction to AI-Powered Data Science

    1 item

    Session 2: Data Cleaning Basics

    0 items

Week 2

Feb 10—Feb 16

    Session 3: Exploratory Data Analysis (EDA)

    0 items

    Session 4: Data Visualization

    0 items

Week 3

Feb 17—Feb 23

    Session 5: Basics of Predictive Modeling

    0 items

    Session 6: Model Evaluation

    • Feb

      17

      Model Evaluation

      Mon 2/175:30 PM—7:30 PM (UTC)

Week 4

Feb 24—Feb 27

    Session 7: Finalizing Your Project

    • Feb

      24

      Finalizing Your Project

      Mon 2/245:30 PM—7:30 PM (UTC)

    Session 8: Presenting Your Work & Optional Office Hour

    • Feb

      27

      Presenting Your Work & Optional Office Hour

      Thu 2/275:30 PM—7:30 PM (UTC)

Post-course

    Feb

    18

    Basics of Predictive Modeling

    Tue 2/185:30 PM—7:30 PM (UTC)

    Feb

    13

    Data Visualization

    Thu 2/135:30 PM—7:30 PM (UTC)

    Feb

    11

    Exploratory Data Analysis (EDA)

    Tue 2/115:30 PM—7:30 PM (UTC)

    Feb

    6

    Data Cleaning Basics

    Thu 2/65:30 PM—7:30 PM (UTC)

    Feb

    4

    Introduction to AI-Powered Data Science

    Tue 2/45:30 PM—7:30 PM (UTC)

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.

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Join an upcoming cohort

AI-Powered Data Science for Professionals - Foundations

Cohort 1

$745

Dates

Feb 4—27, 2025

Payment Deadline

Feb 3, 2025
Get reimbursed

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

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

Frequently Asked Questions

Stay in the loop

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A pattern of wavy dots

Join an upcoming cohort

AI-Powered Data Science for Professionals - Foundations

Cohort 1

$745

Dates

Feb 4—27, 2025

Payment Deadline

Feb 3, 2025
Get reimbursed

$745

4 Weeks