World Renowned Faculty
Gain knowledge from experienced academic experts and industry professionals who bring real-world insights into every session.
Live + Self Paced
Data Science with AI
The Data Science Course from Digital Regenesys provides a 24-week learning experience aimed at developing strong data analysis and interpretation skills. The course introduces learners to essential industry tools and methods for working with complex datasets. Through interactive live sessions and practical activities, participants build confidence in analysing, visualising, and presenting data.
On completion, learners receive an IITPSA-accredited certificate that recognises their competence and supports their readiness for data-focused roles across various 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
48
SESSIONS
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
Data Cleaning & Preprocessing
Data Analysis & Exploration
Predictive Modelling & Machine Learning
Data Visualisation
Business Intelligence & Dashboards
Database Management
Who Should Enrol?
Early Career Professionals & Students
- Students and fresh graduates seeking strong foundations in data science and analytics.
- Aspiring data scientists wanting hands-on skills in Python, data analysis, visualisation, and machin...
- Developers and engineers looking to build data-driven applications.
Analysts & Domain Professionals
- Data analysts and BI professionals aiming for predictive modelling and automation skills.
- Domain experts using data to make informed decisions in their field.
- Academicians and researchers exploring data and machine learning for real-world challenges.
Managers & Decision-Makers
- Business leaders and managers seeking insights from data for strategy and operations.
- Professionals handling reporting, analytics, and automation.
- Executives want to use data to improve organisational performance.
Early Career Professionals & Students
- Students and fresh graduates seeking strong foundations in data science and analytics.
- Aspiring data scientists wanting hands-on skills in Python, data analysis, visualisation, and machine learning.
- Developers and engineers looking to build data-driven applications.
Analysts & Domain Professionals
- Data analysts and BI professionals aiming for predictive modelling and automation skills.
- Domain experts using data to make informed decisions in their field.
- Academicians and researchers exploring data and machine learning for real-world challenges.
Managers & Decision-Makers
- Business leaders and managers seeking insights from data for strategy and operations.
- Professionals handling reporting, analytics, and automation.
- Executives want to use data to improve organisational performance.
Why Choose Our Data Science with AI Course?
Weekly Live Classes
Attend interactive live sessions for doubt-clearing, guided learning, and collaborative discussions.
Industry-Ready Curriculum
Follow a clear, industry-aligned curriculum covering Python, data visualisation, business intelligence, machine learning, and predictive analytics.
Hands-on Learning
Work through practical exercises, case-based tasks, and real-world datasets to build confidence and strong technical ability
Personalised Support
Receive personalised support from experts who guide your learning, projects, and career growth.
Collaborative Peer Networking
Connect with fellow learners, share ideas, and learn through group discussions and community engagement.
End-to-End Support
Access continuous guidance for assignments, projects, tools, and technical queries throughout your learning journey.
Applied Skills
Develop skills that can be used immediately in real work environments, including data analysis, dashboard creation, model building, and presenting ins...
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.
Earn an IITPSA Accredited Data Science with AI Certificate
The Data Science Course from Digital Regenesys equips you with the practical knowledge and applied skills needed to work confidently in the data science field. This certification validates your ability to analyse data, apply analytical methods, and work with modern digital technologies, helping you stand out for strong opportunities in the global data science landscape.
Key Takeaways
Learn the fundamentals of Python programming and its applications.
Understand how to automate tasks and visualise data effectively.
Explore and model data to extract meaningful insights.
Create interactive dashboards using Power BI for data-driven decisions.
Develop and evaluate machine learning models for real-world problems.
Deploy web applications to showcase 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 EngineerDatabase AdministratorData ArchitectData ScientistsMachine Learning EngineerDeep Learning EngineerBusiness Intelligence DeveloperData TranslatorData Privacy OfficerAI Engineer
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
What is Data Science?
What is a Data Science Course?
Is data science still in demand?
Who can enrol in this Data Science course?
How do I enrol and register for the Digital Regenesys Data Science Course?
Are there any age restrictions to pursue a Data Science Course?
Why is an algorithm a valuable tool in Data science?
Which tool is most widely used in Data science?
What tools are covered in the Digital Regenesys’s Data Science course?
How Long Does It Take to Complete a Data Science Course?
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Data Science with AI
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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
Sunshare Towers, Plot 15585, Olympia, 1 Katima Mulilo 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
