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Gain guidance from experienced academics and industry professionals who teach analytics through business-focused examples.
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Data Analytics Powered by AI
Digital Regenesys’s 4-month, two-level Data Analytics Powered by AI course offers a practical, tool-focused approach to using data and AI for better business decisions. The course is designed to help professionals move beyond reporting to decision-making that directly supports business performance, strategy, and measurable ROI.
By connecting analytics with real business use cases, participants learn how to turn data into insights that influence outcomes, improve efficiency, and support confident, value-driven decisions in real workplace scenarios.
4.5/5Student Reviews
500,000+Regenesys Alumni
GloballyRecognised
What You Will Learn
AI-supported data analytics supporting business strategy and informed decision-making.
Preparing and structuring data across the data lifecycle using AI-assisted and conversational techniques.
Analysing data using AI-supported exploratory and advanced analytical methods.
Building clear dashboards, visualisations, and presentations for business audiences.
Applying predictive and classification methods, including regression, to real business problems.
Using responsible AI practices and effective prompts to explain insights with clarity and confidence.
Data Analytics Powered by AI Course Curriculum
Join interactive live sessions led by industry experts. Get your doubts cleared in real time, collaborate with peers, and gain practical insights directly from professionals.
32 sessions•32 lectures•64h total length
Tools Covered
Skills You Will Gain From This Data and Business Analytics Course
Database Management
Data Visualisation
Predictive Analytics
Data Storytelling
No-Code Reporting
MIS Insights
Who Should Enrol?
Young Professionals
- Working in startups, NGOs, or small businesses across Africa.
- Managing daily tasks, projects, and remote teams in fast-moving environments.
- Looking to upskill with AI-supported tools to improve productivity and efficiency.
University Students (Business, Tech, and Management Streams)
- Students pursuing MBA, BBA, IT, or Project Management qualifications.
- Exploring AI-supported tools for assignments, projects, and internships.
- Preparing for data- and tech-driven roles in the modern workplace.
Corporate Teams & Freelancers
- Corporate teams aiming to improve collaboration and workflow efficiency.
- Freelancers managing multiple clients or projects simultaneously.
- Professionals seeking structured, AI-assisted planning and execution methods.
Young Professionals
- Working in startups, NGOs, or small businesses across Africa.
- Managing daily tasks, projects, and remote teams in fast-moving environments.
- Looking to upskill with AI-supported tools to improve productivity and efficiency.
University Students (Business, Tech, and Management Streams)
- Students pursuing MBA, BBA, IT, or Project Management qualifications.
- Exploring AI-supported tools for assignments, projects, and internships.
- Preparing for data- and tech-driven roles in the modern workplace.
Corporate Teams & Freelancers
- Corporate teams aiming to improve collaboration and workflow efficiency.
- Freelancers managing multiple clients or projects simultaneously.
- Professionals seeking structured, AI-assisted planning and execution methods.
Why Choose Our Data and Business Analytics Course?
Weekly Live Classes
Attend interactive sessions designed for questions, tool demonstrations, guided exercises, and discussions on real analytics applications.
Industry-Ready Curriculum
Follow a business-focused course covering data analysis, BI tools, visualisation, and advanced management techniques.
Hands-On Learning with AI
Work on practical exercises, case-based tasks, and real datasets to build strong technical capability in data handling and analysis.
Personalised Guidance
Receive support on your projects, analytical approach, tool usage, and interpretation of data outputs throughout the course.
Collaborative Peer Networking
Connect with fellow learners, exchange insights, and participate in group discussions that mirror real workplace analytics collaboration.
Business-Focused Analytics Skills
Develop a clear managerial understanding of analytics, focusing on interpreting data, visualising insights, and applying them to strategic business de...
No Coding Needed
Learn data and business analytics using easy, beginner-friendly tools, with no programming experience required at any stage.
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 data science or analytics experience.
3 Years LMS Access
Revisit course materials, datasets, recordings, and resources anytime over three years.
Continuous Learning Support
Get dedicated help for queries, assignments, and practical projects throughout the programme.
Global Recognition
Certification recognised internationally, validating skills in data science and analytics.
Capstone Projects
Apply your learning through real-world, data-driven projects to solve business challenges.
Community & Networking
Engage with a diverse learner community and build connections that go beyond the classroom.
Earn A Globally Recognised Data and Business Analytics Certificate
The Digital Regenesys Data and Business Analytics Course equips you with practical skills and applied understanding to work confidently with data in real-world business contexts. This certification validates your ability to analyse, interpret, and visualise data, apply statistical and predictive techniques, and generate actionable business insights, helping you stand out for opportunities in analytics and data-driven roles.
Key Takeaways
Build confidence in preparing, exploring, and analysing data with AI-supported techniques.
Create clear dashboards and reports using business intelligence tools.
Apply predictive and classification methods for planning and performance analysis.
Solve real business problems through guided exercises and applied projects.
Strengthen explainability, governance, and responsible AI practices.
Communicate insights effectively through structured visualisations and narratives.
Thousands of Learners Across the Globe
Careers in Data and Business Analytics
R306,178
Average salary (SA)
$310.97 billion
Global AI in Data Analytics market [by 2...
90%
Companies using AI in analytics
$857.4 million
Generative AI in data analytics [by 2035...
See where Data and Business Analytics skills can take you in the current job market
Data AnalystData ScientistBusiness AnalystBusiness Intelligence (BI) AnalystData Visualisation EngineerData EngineerFinancial AnalystMarket Research AnalystQuantitative AnalystRisk Analyst
Student Reviews
View more
GK
Gerome Kemp
Marketing Analyst
The Data and Business Analytics course gave me practical skills to analyze data effectively and make data-driven decisions. The modules were well-structured, and the hands-on exercises helped me immediately apply what I learned at work
LK
Lerato Khumalo
Data Analyst
Learning Data and Business Analytics at Digital Regenesys was an excellent experience. The facilitators were knowledgeable, and the real-world examples made complex concepts easy to understand. I feel more confident in handling analytics projects now.
SD
Sipho Dlamini
Business Intelligence Specialist
This programme enhanced my understanding of business analytics and data interpretation. It provided me with the tools to improve reporting, decision-making, and overall business strategy in my organization.
TM
Thabo Mokoena
Operations Manager
The course was very practical, combining theory with real-world analytics tools. The support from instructors was outstanding, and I can now confidently work with data to drive insights and business improvements.
The Data and Business Analytics course gave me practical skills to analyze data effectively and make data-driven decisions. The modules were well-structured, and the hands-on exercises helped me immediately apply what I learned at work
GK
Gerome Kemp
Marketing Analyst
Learning Data and Business Analytics at Digital Regenesys was an excellent experience. The facilitators were knowledgeable, and the real-world examples made complex concepts easy to understand. I feel more confident in handling analytics projects now.
LK
Lerato Khumalo
Data Analyst
Meet Our Expert Faculty
Dr Shilpa Kulkarni
20+ Years of Experience
Dr Mannan Hussain
17+ Years of Experience
Dr Suman Mathur
24+ Years of Experience
Ms Ankita Nayak
10+ Years of Experience
Dr Nishikant Bohra
30+ Years of Experience
Dr Rita Biswas
17+ Years of Experience
Dr Shilpa Kulkarni
20+ Years of Experience
Dr Mannan Hussain
17+ Years of Experience
Dr Suman Mathur
24+ Years of Experience
Ms Ankita Nayak
10+ Years of Experience
Dr Nishikant Bohra
30+ Years of Experience
Dr Rita Biswas
17+ Years of Experience
Course Fees
Including taxes
R 29,900R 34,385
15% off
Related Courses
Data Science with AI
10 Tools Covered
1000+ AlumniData Analytics Powered by AI Course FAQs
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Can I access course materials and tools remotely?
Is prior experience with any specific tool required before taking this course?
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Data Analytics Powered by AI Course
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
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
