Short course

Advanced Data Analytics and Presentation

In today's dynamic and data-driven landscape, organizations are increasingly recognizing the transformative power of data analytics. The ability to extract meaningful insights from vast and complex datasets has become a cornerstone of decision-making processes across industries. The Advanced Data Analytics and Analysis short course training is designed to equip professionals with the skills and knowledge needed to harness the full potential of data for strategic decision-making.

This comprehensive training program goes beyond basic analytics concepts, delving into advanced techniques and methodologies to analyze and interpret data effectively. Participants will gain hands-on experience with cutting-edge tools and technologies, empowering them to navigate the intricate world of data analytics confidently. Whether you are a seasoned data professional seeking to enhance your skill set or a newcomer eager to embark on a data-centric career, this course provides a solid foundation for success in the evolving landscape of data analytics.

Course Content

Foundations of Advanced Data Analytics
  • Understanding the Data Analytics Lifecycle
  • Exploring Statistical Analysis Techniques
  • Introduction to Machine Learning Concepts
  • Data Extract,Preprocessing and Cleaning Strategies
Advanced Data Visualization
  • Creating Interactive Dashboards with Visualization Tools
  • Storytelling with Data: Communicating Insights Effectively
  • Advanced Charting Techniques for Complex Data Sets
  • Incorporating Geographic and Temporal Elements in Visualizations
Predictive Analytics and Machine Learning
  • Supervised and Unsupervised Learning Algorithms
  • Model Evaluation and Selection Criteria
  • Feature Engineering and Selection
  • Practical Applications of Predictive Analytics in Business
Big Data Analytics
  • Introduction to Big Data Technologies (Hadoop, Spark)
  • Processing and Analyzing Large Datasets
  • Implementing Distributed Computing for Scalability
  • Real-world Applications and Case Studies
Ethical Considerations in Data Analytics
  • Privacy and Security in Data Handling
  • Bias and Fairness in Machine Learning
  • Responsible Data Use and Governance
  • Regulatory Compliance and Legal Implications
Capstone Project
  • Applying Skills and Concepts to a Real-world Scenario
  • Integrating Multiple Analytical Techniques
  • Presenting Findings and Recommendations
  • Peer and Instructor Evaluation

Who should attend?

The Advanced Data Analytics and Analysis short course training is tailored for a diverse audience seeking to deepen their understanding of advanced data analytics and its applications.

Training Methodology.

The Advanced Data Analytics and Analysis short course training employs a dynamic and interactive methodology to ensure effective learning and practical skill development. The training program incorporates a combination of the following methodologies Lectures and Presentations, Hands-on Practical Exercises, Case Studies and Real-world Scenarios, Group Discussions and Collaborative Learning, Capstone Project, Assessment and Feedback.

Event Date & Details
29 Apr 2024 - 7 May 2024
Flomi Hotel, Morogoro
TZS 2,550,000
oscar.mashauri@udsm.ac.tz
0715677873

Frequently Asked Questions

Centre for Virtual Learning (CVL) offers students a full range of learning opportunities powered by the latest online technologies available. We are committed to setting very high standards for distance learning and know that the student-teacher interaction is key to student success.

Applications are now open to qualified candidates from Tanzania, the Eastern and Southern African region and beyond, who wish to pursue Undergraduate Degree and Non-Degree Programmes at the University of Dar es Salaam for the academic year 2022/2023.

Centre for Virtual Learning (CVL) offers students a full range of learning opportunities powered by the latest online technologies available. We are committed to setting very high standards for distance learning and know that the student-teacher interaction is key to student success.

Applications are now open to qualified candidates from Tanzania, the Eastern and Southern African region and beyond, who wish to pursue Undergraduate Degree and Non-Degree Programmes at the University of Dar es Salaam for the academic year 2022/2023.

Centre for Virtual Learning (CVL) offers students a full range of learning opportunities powered by the latest online technologies available. We are committed to setting very high standards for distance learning and know that the student-teacher interaction is key to student success.

Applications are now open to qualified candidates from Tanzania, the Eastern and Southern African region and beyond, who wish to pursue Undergraduate Degree and Non-Degree Programmes at the University of Dar es Salaam for the academic year 2022/2023.