-
Course Code
DSBA-002
Practical Data Science and AI – Advanced Methods and Techniques
- Building on the basics of Data Science, Machine Learning and Data Mining knowledge, this hands-on course provides deeper understanding on advanced methods used by data scientists and AI engineers to solve more complex problems and build associated data-driven models. Starting with emphasizing the most important phase of framing a data driven model for a given business challenge, working with complex data formats and advanced tools and platforms.
- Following these foundational topics, trainees practice by examples variety of advanced methods to address common problems including clustering, classification, association rules, simulation, text analytics & NLP, SNA and big graphs. Building complex AI models using ensemble learning methods is discussed as well as applying deep learning techniques like CNN/DBNs. Concluding by introducing advanced visualization approaches for multivariant analysis.
Learning Outcomes
Outcomes
Course Contents
- Data Sciences Revisited: Framing Data Driven Models
- Advanced Tools and Platforms for Data Science and AI models
- Complex Data Formats and Structures
- Association Rules Mining / FP-Growth
- Advanced Clustering Methods
- Mining Unstructured Data
- Mining Massive Data Streams
- Natural Language Processing (NLP)
- Sentiment Analysis and Topic Modeling
- Social Network Analysis and Big Graph Methods
- Simulation Techniques and Models
- Random Forests for Ensemble Learning
- Multinomial Logistic Regression
- Support Vector Machines (SVM) Classifiers
- Reinforcement Learning and Markov Decision Processes (MDPs)
- Perceptron, Neural Networks and Deep Learning Methods
- Advanced Data Visualization for Multivariate Data
- Selecting Specific Methods for a Data-Driven Model
- Implementation Consideration for Big Data Analytics and AI Applications
- Course Conclusions
Our Methodology
- Make coaching and monitoring innovative and using modern
- Media training also using on the go training by using interactive means and focusing on
- The exercises, practical applications and real situations study
- Live delivery method, instructor-led training
- Experienced consultant, trainers, and professional
- Qualified trainer with high-level experience
Attendance Reports
- Send daily attendance reports to training departments
- Send full attendance report to training dep. by the end of the course
- Attend 100 % from the course days also provide daily
- Issue attendance certificate for participant who attend minimum 80% from the course duration
Pre/Post Reports
- Pre- assessment before starting training
- Post assessment after finish training
- Full report for the deferent between Pre-& Post assessment
Who Should Attend
- Business Analysts
- Financial Analysts
- Managers, Heads of Departments, and Directors
- Data Center
- Data Architects
