Prosperas Skills Center

  • info@prosperasskillscenter.com
  • Nairobi, Kenya
  • +254 729 449 222
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Training Course on Big Data Fundamentals and Strategic Use

Training Course on Big Data Fundamentals and Strategic Use

Duration: 5 Days

Location: Nairobi

Course Overview:
This course provides a foundational understanding of big data concepts, technologies, and their strategic applications in today’s data-driven world. It introduces participants to the big data ecosystem, key technologies like Hadoop and Spark, and the use of big data analytics in generating business value and competitive advantage.
Participants will explore how to manage volume, velocity, and variety in data environments, evaluate big data tools, and understand the ethical and governance considerations that accompany large-scale data collection and analysis. The course bridges the gap between technical data infrastructure and strategic decision-making.
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Course Objectives:
By the end of the course, participants will be able to:
•Understand the characteristics and dimensions of big data.
•Explore the big data technology stack and architecture.
•Identify strategic opportunities for leveraging big data.
•Interpret big data analytics outputs for decision-making.
•Navigate ethical, security, and governance issues.
•Align big data initiatives with organizational goals.
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Target Audience:
IT professionals, data analysts, business strategists, policy makers, innovation leads, and professionals involved in data-heavy environments seeking to utilize big data for strategic insights.
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Training Methodology:
•Expert-led sessions and technical walkthroughs
•Case study analysis and discussion
•Group exercises and real-life scenario planning
•Tool and architecture demonstrations
•Strategy mapping and peer feedback
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Expected Outcomes:
Participants will gain a strong conceptual and strategic grasp of big data, preparing them to advocate for and implement big data initiatives within their organizations.

Detailed Course Modules / KEY TOPICS:
Introduction to Big Data
•Definition and evolution of big data
•The 5 Vs: Volume, Velocity, Variety, Veracity, Value
•Types and sources of big data
Big Data Technologies and Ecosystem
•Hadoop architecture and components
•Spark and distributed computing
•NoSQL databases: MongoDB, Cassandra
•Cloud platforms for big data (AWS, Azure, GCP)
Data Analytics and Strategic Value
•Data lakes vs. data warehouses
•Descriptive, predictive, and prescriptive analytics
•Business use cases and data monetization
Big Data Governance and Ethics
•Data security and privacy in large datasets
•Governance frameworks and compliance
•Ethical considerations and responsible data use
Strategic Implementation of Big Data
•Aligning big data with business strategy
•Building a big data roadmap and team structure
•Evaluating ROI and measuring impact
•Capstone: Big data opportunity mapping and presentations

Course General Information:
This course is delivered by qualified and experienced trainers with extensive expertise in their respective fields. Our training approach combines interactive theory sessions, hands-on practical activities, group work, and case studies, ensuring a dynamic and impactful learning experience.

Training Location: The sessions will be held at PROSPERAS SKILLS CENTER, Nairobi, Kenya. We also offer tailor-made group training at client-requested locations upon prior arrangement.

Certification: Upon successfully completing the training, participants will be awarded a certificate from PROSPERAS SKILLS CENTER.

Fees and Inclusions: Covers tuition, training materials, lunch, and venue. Accommodation and airport transfers can be arranged upon request.

Payment Details: Payment must be made to our bank account prior to the commencement of training. Please forward proof of payment to: trainings@prosperasskillscenter.com

For Further Inquiries: Contact us via email: trainings@prosperasskillscenter.com

Big Data Fundamentals and Strategic Use

Start DateEnd DateOnline Fee (USD)In-Person Fee (USD)Register
17 Nov, 202521 Nov, 202510001500Enroll
24 Nov, 202528 Nov, 202510001500Enroll
01 Dec, 202505 Dec, 202510001500Enroll
15 Dec, 202519 Dec, 202510001500Enroll
05 Jan, 202609 Jan, 202610001500Enroll
12 Jan, 202616 Jan, 202610001500Enroll
19 Jan, 202623 Jan, 202610001500Enroll
26 Jan, 202630 Jan, 202610001500Enroll
02 Feb, 202606 Feb, 202610001500Enroll
09 Feb, 202613 Feb, 202610001500Enroll
23 Feb, 202627 Feb, 202610001500Enroll
23 Feb, 202627 Feb, 202610001500Enroll
02 Mar, 202606 Mar, 202610001500Enroll
09 Mar, 202613 Mar, 202610001500Enroll
23 Mar, 202627 Mar, 202610001500Enroll
13 Apr, 202617 Apr, 202610001500Enroll
20 Apr, 202624 Apr, 202610001500Enroll
04 May, 202608 May, 202610001500Enroll
11 May, 202615 May, 202610001500Enroll
18 May, 202622 May, 202610001500Enroll
08 Jun, 202612 Jun, 202610001500Enroll
15 Jun, 202619 Jun, 202610001500Enroll
22 Jun, 202626 Jun, 202610001500Enroll
29 Jun, 202603 Jul, 202610001500Enroll
06 Jul, 202610 Jul, 202610001500Enroll
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20 Jul, 202624 Jul, 202610001500Enroll
27 Jul, 202631 Jul, 202610001500Enroll
03 Aug, 202607 Aug, 202610001500Enroll
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17 Aug, 202621 Aug, 202610001500Enroll
31 Aug, 202604 Sep, 202610001500Enroll
07 Sep, 202611 Sep, 202610001500Enroll
14 Sep, 202618 Sep, 202610001500Enroll
21 Sep, 202625 Sep, 202610001500Enroll
28 Sep, 202602 Oct, 202610001500Enroll
12 Oct, 202616 Oct, 202610001500Enroll
26 Oct, 202630 Oct, 202610001500Enroll
02 Nov, 202606 Nov, 202610001500Enroll
09 Nov, 202613 Nov, 202610001500Enroll
16 Nov, 202620 Nov, 202610001500Enroll
23 Nov, 202627 Nov, 202610001500Enroll
30 Nov, 202604 Dec, 202610001500Enroll
07 Dec, 202611 Dec, 202610001500Enroll
14 Dec, 202618 Dec, 202610001500Enroll

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