Real-World Projects
Apply every concept through hands-on projects that mirror real industry data and AI challenges.
Live + Self Paced
Data Science with AI
The Data Science with AI Course from Digital Regenesys delivers a 6-month immersive learning journey focused on applying artificial intelligence to real-world data challenges. Learners develop advanced skills in AI-driven data analysis, predictive modelling, and intelligent decision-making using industry-relevant tools and techniques. Through expert-led live sessions and hands-on projects, participants gain practical experience in analysing, visualising, and interpreting complex datasets with AI support. On completion, learners receive an IITPSA-accredited certificate that validates their AI-enabled data expertise and prepares them for high-impact, data-driven roles across the industries.
4.5/5Student Reviews
500,000+Regenesys Alumni
IITPSAAccredited
What You Will Learn
Core concepts of data science, including data analysis, predictive modelling, machine learning, and business intelligence.
Practical skills in Python, data visualisation, and data manipulation.
Hands-on experience with Power BI and interactive dashboards.
Building and using machine learning models to generate insights.
Real project experience, including web app deployment.
Clear data presentation and effective communication for decision-making.
This Course Includes
96
HOURS OF LEARNING CONTENT
15
TOOLS & LANGUAGES
04
SELF PACED MODULES
30
CPD POINTS
Data Science with AI Course Curriculum
Join interactive live classes led by industry experts. Get your doubts cleared in real time, collaborate with peers, and gain practical insights directly from professionals.
48 sessions•48 lectures•96h total length
Self-Paced Learning Modules
Take control of your learning journey with recorded classes, interactive exercises, and case studies available to you anytime, anywhere.
48 sessions•48 lectures•96 total length
Tools Covered
Skills You Will Gain
Python Programming & Data Wrangling
Data Analysis & Exploratory Data Analysis (EDA)
Machine Learning & Predictive Modelling
AI Integration & Advanced AI Techniques
Data Visualisation & Business Intelligence
Dashboards, Deployment & Data Pipelines
Model Deployment & End-to-End ML Workflow
Insight Communication & Portfolio Development
Who Should Enrol?
Early Career Professionals & Students
- Students and graduates building foundations in AI-powered data science.
- Aspiring data scientists gaining hands-on skills in Python, AI-driven analysis, and machine learning...
- Developers creating intelligent, data-driven applications.
Analysts & Domain Professionals
- Data analysts advancing into AI-enabled predictive modelling and automation.
- Domain professionals using AI insights for better decision-making.
- Researchers applying machine learning to real-world problems.
Managers & Decision-Makers
- Leaders using AI-powered analytics for strategy and operations.
- Professionals handling AI-supported reporting and automation.
- Executives improving performance through data and AI insights.
Early Career Professionals & Students
- Students and graduates building foundations in AI-powered data science.
- Aspiring data scientists gaining hands-on skills in Python, AI-driven analysis, and machine learning.
- Developers creating intelligent, data-driven applications.
Analysts & Domain Professionals
- Data analysts advancing into AI-enabled predictive modelling and automation.
- Domain professionals using AI insights for better decision-making.
- Researchers applying machine learning to real-world problems.
Managers & Decision-Makers
- Leaders using AI-powered analytics for strategy and operations.
- Professionals handling AI-supported reporting and automation.
- Executives improving performance through data and AI insights.
Why Choose Our Data Science with AI Course?
Portfolio-Ready Work
Build, document, and deploy multiple data science and AI projects to GitHub to showcase real, applied skills.
Job-Ready Skills
Progress from Python fundamentals to machine learning, AI integration, and data pipeline deployment.
Live Model Deployment
Deploy machine learning models, dashboards, and AI-driven applications using Streamlit and Power BI.
Beginner-Friendly Curriculum
Follow a step-by-step learning path designed for beginners, with no prior experience required.
Modern AI Tools
Gain hands-on experience with Python libraries, machine learning frameworks, and AI-powered analytics tools.
Career Support
Work readiness: communication skills, resume-building guidance, LinkedIn overview and soft skills.
Capstone Project
Deliver a final project covering data ingestion, preprocessing, model building, AI workflows, and deployment.
What Sets Us Apart?
At Digital Regenesys, we focus on delivering learning experiences that are practical, accessible, and built for modern professionals.
Beginner-Friendly Approach
Structured to support learners with no prior programming or data science experience.
3 Years LMS Access
Revisit course materials, recordings, and resources anytime up to three years.
Continuous Learning Support
Get dedicated help for queries, assignments, and practical projects throughout the course.
Global Recognition
Certification recognised internationally, validating skills in data science, AI, and analytics.
Capstone Projects
Apply your learning through practical, real-world data science projects.
Community & Networking
Engage with a diverse learner community and build connections with fellow data science enthusiasts and professionals.
Expert-Led Live Webinars
Join interactive live sessions with industry experts to enhance your skills, build your portfolio, and prepare for data-driven careers. Gain practical insights, ask questions in real-time, and apply learning directly to projects.
Earn an IITPSA Accredited Data Science with AI Certificate
The Data Science with AI Certificate Course by Digital Regenesys equips you with practical, AI-enabled skills to work confidently in modern data science roles. This certification validates your skills in data analysis, machine learning, and applied AI. It prepares you to solve real-world business problems with confidence. The course is IITPSA-accredited and awards 30 CPD points, strengthening your professional credibility.
Key Takeaways
Learn Python fundamentals for AI-driven data analysis and automation.
Use AI-supported techniques to automate workflows and visualise insights.
Explore, model, and interpret data using machine learning methods.
Build intelligent, interactive dashboards with Power BI.
Develop, evaluate, and optimise machine learning models for real-world use cases.
Deploy AI-powered web applications to showcase end-to-end data science solutions.
Thousands of Learners Across the Globe
Careers in Data Science with AI
$133 Billion
Global Market Value
R1.8 Million
Highest Average Salary
11.5 Million
Job openings by 2026
3 in 5 Organisations
Use Data to Innovate
See where Data Science skills can take you in the current job market
Data ScientistAI EngineerMachine Learning EngineerDeep Learning EngineerData EngineerBusiness Intelligence DeveloperData Analyst (AI-Enabled)Data ArchitectDatabase AdministratorData Translator / Analytics ConsultantData Privacy & AI Governance OfficerApplied AI Specialist
Student Reviews
View more
An Exciting and Interactive Learning Journey at Digital Regenesys
Abel Thuso Sekatane
Usman Idris Abdulrahman
Data Scientist
My name is Abdulrahman Idris Usman, a seasoned banking professional with over a decade of experience in settlement and reconciliation. I am also a Data Scientist and FinTech innovator, passionate about leveraging artificial intelligence to automate financial processes and enhance operational efficiency. I currently lea...
Nemaungane Heaven
Startup Founder & CEO
The Data Science course at Digital Regenesys helped me understand the data-driven world, from machine learning concepts to practical project analysis. The course was well-structured, flexible, and highly interactive, with knowledgeable facilitators and strong peer collaboration.
Mumbert Robert
Data Science Professional
Digital Regenesys has helped me build strong practical skills in data science, including working with Excel, Jupyter Notebook, and Power BI. The faculty is supportive and professional, and the sessions encourage teamwork, discussion, and real-world application.
Hilolimus Kimweri
Zonal Manager
I joined Digital Regenesys to enhance my data analysis skills, crucial for fraud detection and operational decision-making. The Data Science course provided me with valuable tools like Power BI and Python, significantly improving my ability to analyze and visualize data. I highly recommend Digital Regenesys.
My name is Abdulrahman Idris Usman, a seasoned banking professional with over a decade of experience in settlement and reconciliation. I am also a Data Scientist and FinTech innovator, passionate about leveraging artificial intelligence to automate financial processes and enhance operational efficiency. I currently lea...
Usman Idris Abdulrahman
Data Scientist
The Data Science course at Digital Regenesys helped me understand the data-driven world, from machine learning concepts to practical project analysis. The course was well-structured, flexible, and highly interactive, with knowledgeable facilitators and strong peer collaboration.
Nemaungane Heaven
Startup Founder & CEO
Meet our Faculty
Ms. Maliha Khakhu
6 Years of Experience
Ms. Priya Shetty
14 Years of Experience
Ms. Vrushali Sarwan
8 Years of Experience
Ms. Rabiya Kulsum
8 Years of Experience
Ms. Maliha Khakhu
6 Years of Experience
Ms. Priya Shetty
14 Years of Experience
Ms. Vrushali Sarwan
8 Years of Experience
Ms. Rabiya Kulsum
8 Years of Experience
Course Fees
Including taxes
R 52,000R 59,800
15% off
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20 Tools Covered7500+ AlumniData Science with AI Course FAQs
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Data Science with AI
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Botswana Corporate Office
9W24+J7P, iTowers North, CBD, Gaborone, Botswana
Zambia Corporate Office
6th floor, Mass Media, ZEP-RE Business Park, Alick Nkhata Rd, Lusaka 10101, Zambia
Zimbabwe Corporate Office
Eight2Five, Fourth Floor, Three Anchor House, Jason Moyo Avenue, CBD, Harare, Zimbabwe
Mauritius Corporate Office
SF201 E, The Factory Building, Vivea Business Park, Moka, Mauritius
South Africa Corporate Office
165 west Street, Sandton, Johannesburg South Africa, 2031
Nigeria Corporate Office
8th Floor, Churchgate Tower 2 PC 31 Victoria Island, Nigeria
India Corporate Office
Proxima Building, Unit 1101 11th Floor, Plot 19, Sector 30 A, Vashi, Navi Mumbai, India, 400705
Kenya Corporate Office
1203, 12th Floor, GTC Office Tower Intersection of Waiyaki Way, Chiromo Ln, Nairobi, Kenya
Croatia Corporate Office
SV. Bartula 131, 23000 Kozino, Zadar, Croatia
Uganda Corporate Office
2nd Floor, Wing A Mirembe Business Center Plot 46, Lugogo Bypass, Kampala P.O. Box 75391
Tanzania Corporate Office
2nd Floor, Ocean Residence Building, Plot 418, Toure Drive, Masaki, Dar Es Salaam, Tanzania
Botswana Corporate Office
9W24+J7P, iTowers North, CBD, Gaborone, Botswana
Zambia Corporate Office
6th floor, Mass Media, ZEP-RE Business Park, Alick Nkhata Rd, Lusaka 10101, Zambia
Zimbabwe Corporate Office
Eight2Five, Fourth Floor, Three Anchor House, Jason Moyo Avenue, CBD, Harare, Zimbabwe
Mauritius Corporate Office
SF201 E, The Factory Building, Vivea Business Park, Moka, Mauritius
