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Professional Certificate in Data Analytics and Generative AI
Data Masters
AI & Machine Learning

Professional Certificate in Data Analytics and Generative AI

3.500,00 EUR

  • 300 hours
Blended Learning
Live Virtual Classroom

Advance your career with the Professional Certificate in Data Analytics & Generative AI, offered in collaboration with Purdue University Online and IBM. This program blends theoretical knowledge, real-world case studies, and hands-on practice, providing a comprehensive learning experience.

About the Program

In collaboration with Purdue University and IBM

  • 8 months length program
  • Live classroom (5-8hrs / Week weekend classes)
  • Ask us for the next cohort and schedule details!

Designed for learners from both technical and non-technical backgrounds, the program delivers an in-depth education in data analytics and the growing field of generative AI. Participants gain access to self-paced online videos, live virtual classes, practical projects, labs, and personalized mentorship sessions.

The program’s blended learning approach ensures practical exposure to essential tools and programming languages, including Excel, SQL, Python, Tableau, and Power BI, while integrating the latest generative AI applications and concepts.




Key Features

Course and material are in English

in collaboration with Purdue University Online

Beginner to advanced level

8 months of live classroom by Purdue faculty

(5-8 hours/week weekend classes)

170+ hours of live classes and mentor-led project support

300+ hours of study time and practice recommended

Flexible learning with session recordings and 24/7 access

Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets

Hands-on projects across the data analytics lifecycle, plus generative AI applications

Networking benefits via Purdue’s Alumni Association

Program completion certificate from Purdue University Online.

Industry-recognized IBM certificates for IBM courses

Learning Outcomes

At the end of this Program, you will be able to:

Concepts

Understand fundamental concepts of data analytics and generative AI

Tools

Utilize Excel, SQL, and ETL processes to extract, transform, load, and analyze various data sets

Python

Master Python libraries such as NumPy, Pandas, SciPy, and scikit-learn for statistics, data wrangling, and visualizations

Generative AI

Apply machine learning methods and generative AI algorithms for data-driven insights and AI solutions

Power BI

Create interactive Power BI dashboards and prepare for the PL-300 certification exam

Tableau

Implement advanced data visualization techniques in Tableau, including heat maps, treemaps, and waterfalls

Analytics

Design end-to-end analytics solutions, covering data ingestion, modeling, and forecasting

Ethics

Integrate data ethics principles to ensure privacy, fairness, and security

Solve real-world problems

through a capstone project, demonstrating full proficiency in data analytics and generative AI

11+ Skills Covered

  • Data Analytics
  • Generative AI
  • Data Storytelling
  • Data Ethics
  • SQL
  • Python
  • ETL
  • Statistical Analysis using Excel
  • Data Analytics using Python
  • Data Visualization with Tableau
  • Data Visualization with Power BI

About Purdue University

Purdue University is a leading public research university known for creating practical solutions to some of today’s most pressing problems. Recognized by U.S. News & World Report as one of the top 10 Most Innovative Universities in the U.S. for four consecutive years, Purdue is at the forefront of groundbreaking research and innovation.

An Engaging Learning Journey

Experience a collaborative classroom setting by connecting with peers and engaging with mentors in real time via Slack.

microsoft ai engineer

Learning Path

  1. Program Induction

    Course 1

  2. Business Analytics With Excel

    Course 2

  3. Data Acquisition and Manipulation Using SQL

    Course 3

  4. Extract, Transform, and Load (ETL)

    Course 4

  5. Microsoft Power BI Certification

    Course 5

  6. Fundamentals of Python Programming

    Course 6

  7. Data Analytics with Python

    Course 7

  8. Generative AI Literacy

    Course 8

  9. Applications of Generative AI in Data Analytics

    Course 9

  10. Generative AI for Business and Professionals - IBM

    Course 10

  11. Capstone Project

    Course 11

  12. Academic Masterclass offered by Purdue University Online

    Elective

  13. Industry Masterclass – Data Analytics

    Elective

  14. Data Visualization using Tableau

    Elective

  15. Data Ethics

    Elective

  16. Prompt Engineering Essentials - IBM

    Elective

  17. Responsible and Ethical Generative AI - IBM

    Elective

Professional Certificate in Data Analytics and Generative AI
Professional Certificate in Data Analytics and Generative AI

Who Should Enroll in this Program?

IT professionals upskilling in data analytics and AI

Banking & finance professionals leveraging generative AI

Marketing managers optimizing campaigns with data

Supply chain managers improving logistics through analytics

Undergraduate and postgraduate students

Anyone interested in data analytics and generative AI

Start course now

Prerequisites

  • High School Diploma or Bachelor’s degree (or equivalent)
  • Applicants from both programming and non-programming backgrounds are welcome
  • Prior work experience is not required

Statements

Licensing and accreditation

Professional Certificate in Data Analytics and Generative AI is offered in collaboration with Purdue University according to Partner Program Agreement and complies with the License Agreement requirements.

Equity Policy

Purdue does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.

Frequently Asked Question

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