Big Data Strategist Course

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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.

Unfortunately, we do not have any dates scheduled at this time. Do you have a date in mind when you would like to take your training?

Request Custom Schedule

Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected].

Unfortunately, we do not have any dates scheduled at this time. Do you have a date in mind when you would like to take your training?

Request Custom Schedule

Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected].


The Big Data Strategist course is a comprehensive program designed to equip professionals with the knowledge and skills to effectively harness the power of big data for strategic decision-making. In this course, participants will gain a deep understanding of big data concepts, analytics techniques, and data management strategies. They will also learn how to develop strategic plans for implementing big data initiatives and navigate the ethical considerations and challenges associated with big data.

Course Duration

10 Days

Who Should Attend?

  • Data analysts and data scientists
  • IT professionals
  • Business managers
  • Consultants and strategists
  • Researchers

Course Level:
  • Understand the concept and characteristics of big data.
  • Explore the impact of big data on businesses and industries.
  • Identify the opportunities and challenges in leveraging big data.
  • Learn data management and architecture techniques for big data.
  • Gain knowledge of big data analytics techniques and tools.
  • Develop skills in data mining and predictive analytics.
  • Familiarize with big data infrastructure and technologies.
  • Understand the importance of data security and privacy in big data.
  • Learn how to develop a strategic plan for implementing big data initiatives.
  • Stay updated with emerging trends and future directions in big data.

  1. Introduction to Big Data
    • Definition and characteristics of big data
    • The impact of big data on businesses and industries
    • Opportunities and challenges in harnessing big data
    • Ethical considerations and responsible use of big data
  2. Data Management and Architecture
    • Data storage technologies and strategies
    • Data integration and data preprocessing techniques
    • Data governance and data quality management
    • Data lifecycle management in a big data environment
  3. Big Data Analytics Techniques
    • Exploratory data analysis and data visualization
    • Statistical analysis and hypothesis testing
    • Machine learning algorithms for big data analytics
    • Deep learning and neural networks for big data
  4. Data Mining and Predictive Analytics
    • Association rule mining and frequent pattern analysis
    • Classification and regression techniques
    • Time series analysis and forecasting
    • Text mining and sentiment analysis
  5. Big Data Infrastructure and Technologies
    • Distributed file systems (e.g., Hadoop Distributed File System)
    • Big data processing frameworks (e.g., Apache Spark)
    • Cloud-based big data solutions (e.g., Amazon Web Services, Google Cloud Platform)
    • Scalable storage and processing architectures for big data
  6. Data Security and Privacy in Big Data
    • Security challenges in big data environments
    • Encryption techniques and secure data transmission
    • Access control and authentication mechanisms
    • Privacy-preserving data mining and anonymization techniques
  7. Big Data Strategy and Planning
    • Defining business objectives and use cases for big data
    • Developing a data-driven strategy for big data implementation
    • Creating a roadmap for big data initiatives
    • Measuring the success and impact of big data projects
  8. Ethical and Legal Considerations in Big Data
    • Ethical frameworks for responsible data use
    • Compliance with data protection regulations (e.g., GDPR, CCPA)
    • Intellectual property rights and data ownership issues
    • Social and societal implications of big data
  9. Big Data Analytics in Industry Verticals
    • Big data applications in finance and banking
    • Big data in healthcare and medical research
    • Big data in retail and e-commerce
    • Big data in marketing and customer analytics
  10. Emerging Trends and Future Directions in Big Data
    • Real-time and streaming analytics
    • Internet of Things (IoT) and big data
    • Edge computing and fog computing in big data
    • Artificial intelligence and machine learning advancements in big data analytics

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Course Administration Details:


The instructor-led training is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).


The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected].  

Mob: +254 715 077 817


This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817.

Mob: +254 792516000+254 792516010 or mail [email protected]


Payment should be transferred to IRES account through bank before the course start date

Send proof of payment to [email protected]

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