Business Intelligence (BI) and Predictive Analytics 101
What you'll learn
- Demonstrate a thorough understanding of the concepts, scope, and importance of Business Intelligence (BI) and predictive analytics.
- Acquire skills to identify, collect, clean, transform, and integrate data from various sources for BI and predictive analytics projects.
- Utilize statistical methods and data visualization techniques to summarize and interpret data.
- Develop and evaluate predictive models using techniques such as regression, classification, and clustering.
- Apply advanced methods, including time series analysis, machine learning algorithms, and text mining, to complex business problems.
- Understand the characteristics of big data and leverage big data technologies like Hadoop and Spark.
- Implement real-time analytics solutions to provide immediate insights and responses to ongoing business activities.
- Develop project planning and management skills specific to BI and predictive analytics initiatives.
- Ensure compliance with legal and regulatory requirements in the handling and analysis of data.
- Implement and utilize cloud-based platforms for BI and predictive analytics, such as AWS, Azure, and Google Cloud.
- Implement and utilize cloud-based platforms for BI and predictive analytics, such as AWS, Azure, and Google Cloud.
- Explore various career paths and opportunities, identifying necessary skills and certifications for success in the field.
Requirements
- Basic skills and Ideas of Business Intelligence and Predictive Analytics !
Description
Course Description: Business Intelligence and Predictive Analytics 101
This comprehensive course delves into the essential principles and advanced techniques of Business Intelligence (BI) and Predictive Analytics, equipping students with the knowledge and skills needed to transform raw data into actionable insights. Through eight meticulously designed modules, learners will explore the fundamentals of BI and predictive analytics, mastering data collection, cleaning, transformation, and integration processes. The course covers a wide range of topics, including statistical methods for descriptive analytics, predictive modeling techniques like regression and classification, and advanced methods such as time series analysis, machine learning, and text mining.
Students will also gain practical experience with popular BI tools and big data technologies, learning to implement real-time analytics and cloud-based BI solutions. The curriculum emphasizes the importance of data governance, ethics, and compliance, ensuring that students are well-versed in the legal and regulatory aspects of data analytics. By examining industry-specific case studies and emerging trends, the course prepares students for various career opportunities in the dynamic field of BI and predictive analytics, highlighting the necessary skills and certifications for success.
In this 101 course, I would like to teach the 9 major topics:
Module 1: Introduction to Business Intelligence and Predictive Analytics
Module 2: Data Collection and Preparation
Module 3: Descriptive Analytics
Module 4: Predictive Modeling Techniques
Module 5: Advanced Predictive Analytics
Module 6: Big Data and Predictive Analytics
Module 7: Implementing BI and Predictive Analytics Solutions
Module 8 :Exploring Reporting Tools and Technologies in Data Analytics
Module 9: Case Studies and Emerging Trends
Enroll now and learn today!
Who this course is for:
- All UG and PG Business, General Management, IT, Marketing and Computer Science students
- Interested students to learn about the concepts of Business Intelligence and Predictive Analytics
Instructor
- 4.2 Instructor Rating
- 36,136 Reviews
- 527,647 Students
- 310 Courses
Achievements on Udemy : (UDEMY BUSINESS BEST SELLER & FULL TIME UDEMY INSTRUCTOR)
[1] Enrolled over 527,000 students from 214 countries & 40+ UFB Courses.
[2] Delivered a staggering 3.73 million course enrollments, with 5,439,933 minutes taught Including UFB Courses (Upto August' 2024).
[3] Offered a diverse array of 310 courses, covering Business, General Management, Leadership, IT, Software and Systems, Psychology, Education, and Media Studies.
Credentials and Qualifications of Dr. José:
Dr. José's extensive qualifications showcase his dedication to various fields:
[1] Earned a Ph.D. in Entrepreneurship & Business Management in 2019, contributing to the understanding of business dynamics.
[2] Holds an M.Phil. in Business & General Management, establishing a solid foundation in comprehensive management knowledge.
[3] Completed a Masters in Financial Markets in 2015, demonstrating expertise in financial systems.
[4] Acquired a Masters in Information Technology in 2013, equipping him with technological proficiency.
[5] Achieved a Masters in Human Resource Management (MBA) in 2011, highlighting organizational skills.
[6] Secured a Bachelors in Mathematics in 2009, emphasizing analytical and statistics prowess.
[7] Earned a Diploma in Teacher Education in 2006, showing dedication to education.
This diverse academic background positions Dr. José as a well-rounded and versatile professional.
Teaching Experience:
Dr. José is an accomplished expert with a wealth of teaching and industry experience:
[1] Currently he is working as a Researcher and Professor of Florida Christian University (FCU Online), Orlando, FL.
[2] Serves as a Senior Researcher, Professor, and Subject Matter Expert at UTEL University, Universidad Centro Panamericano de Estudios Superiores - México, IBS-BFSU (International Business School - Beijing Foreign Studies University) China.
[2] Holds the title of Honorary and Visiting Professor at NGCEF Australia, ISCIP Canada, and Judge of the Research center for the Internationalization of companies from emerging economies (I-CEE) & Global Forum on Business Case Study.
[3] Dr. José, Specializes in digital transformation teaching, innovative teaching, and project based strategies for startup teaching in digital platform ecosystems.
Instructional Design and Curriculum Development Experience:
Dr. José's instructional design and curriculum development contributions are noteworthy:
[1] Designed and developed more than 5 specialized Post Graduate Master Degree courses for International Business School - Beijing Foreign Studies University (IBS-BFSU).
[2] Expertise in corporate entrepreneurship, organizational innovation, and learning.
[3] Over 15 years of experience as a business and IT consultant for over 20 successful startup businesses.
[4] Designed, developed, and hosted over 200 corporate business websites since 2007, receiving over 10 awards for graphic and web design.
Interests of Teaching Topics:
Dr. José's teaching interests span a wide range of subjects:
[1] Conducted, supervised, and handled more than 10,000 UG, PG students since 2007.
[2] Led training sessions for undergraduate and postgraduate Master Degree graduates in areas such as Entrepreneurship Development, Business Management, Human Resource Management and Development, Marketing, Digital Marketing, Finance and Financial Markets, Economics, Statistics, Education, Psychology, Leadership and Personal Development, Multimedia, Information Technology, IEEE Domains, and Software Certification Courses.
[3] Regular Keynote Speaker at AEIC China and Whither Our Economies (WoE) Lithuania.
[4] Currently guiding 5 Ph.D. Scholars in Business Administration, Computer Science, and IT Domains.
Certifications, Research and Publications:
Dr. José boasts an impressive list of certifications, research, and publications:
[1] Completed more than 30+ Software, IT, and Business Certifications.
[2] Serves as an Editor of Science Direct PLAS Journal, Ai Scholar China and certified reviewer for several renowned publishers from Springer Nature, Online Wiley, Emerald & SAGE.
[3] Published over 50 research and review articles, 8-12 solo-authored full case studies, 4 book chapters, and numerous book reviews and some listed in WoS & Scopus Listings.
[4] Google Scholar Citation 100+ and Research Gate Score is 270.90 with 54+ Citations, 59,299+ reads, and 27 Research Recommendations.
[5] European Alliance for Innovation (EAI) Score is 16.
Honors and Awards:
Dr. José's accomplishments are celebrated with various honors and awards:
[1] Top Funding Project Writer.
[2] Top Researcher Award 2019-2024.
[3] Best Ph.D. Thesis Award 2018.
[4] Distinguished Young Scientist 2017.
[5] University Topper (2011-2012).
[6] Seven-time recipient of the FCB - Faculty Competency Building Award (2011-2018).
[7] Mr. Perfect Award in 2008.
International Memberships and Activities:
[1] Holds memberships in 35+ International academic and professional bodies, including IEEE (ID : 96447154), Oulu Entrepreneurship Society - Finland, AfSAE (ID: 256521), ISPIM (ID: 1374), ITPA (ID: 29660) and many more.
[2] Volunteers for Scopus, Web of Science, and ABDC Indexed journals.
[3] Serves as an editorial and reviewer board member for over 30+ journals and has reviewed 200+ articles since 2019.