Warm welcome to the “Predictive Analytics” course offered by LPC. In a data-driven world, predictive analytics stands as an important tool to gain valuable insights, make informed decisions, and stay ahead of the competition. LPC designed this comprehensive course to equip you with essential knowledge and tools to excel in the field in predictive analytics.
Over the next 5 days, you’ll explore the fascinating realm of predictive analytics, from understanding the fundamental concepts of predictive analytics to mastering its techniques, even the advanced ones. Through a combination of theoretical learning and hands-on practical exercises, you’ll dive into various aspects of predictive analytics, including data preparation, supervised and unsupervised learning techniques, advanced analytics methods, deep learning, and model selection and optimization.
By the end of the course, you’ll be able to effectively apply the skills and knowledge learnt in real-world scenarios. And you’ll be confidence to tackle complex data analytics challenge with ease. Join us at LPC and embark on a transformative learning journey that will unlock exciting opportunities in the field of predictive analytics.
By the end of this course, participants should be able to:
- Understanding predictive analytics fundamentals, including key terms, types of predictive analytics and its benefits
- Determine the role of machine learning in predictive analytics
- Master supervised learning techniques, including regression and classification algorithms
- Apply unsupervised learning techniques, including clustering and dimensionality reduction methods
- Implement advanced analytics techniques, including ensemble learning and deep learning
- Understand the fundamentals of deep learning and its application
- Select the best model after evaluation
- Optimize model performance and avoid bias
- Data Analysts
- Software Engineers
- Data Scientists
- Business Analysts
- Software Developers
- Marketers
- Sales Professionals
- IT Professionals
- Managers
- Executives
- Business-Owners
- Anyone interested in data science