Business Intelligence (BI) and Predictive Analytics 101

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Dr. José J

1:46:22

62 View

1. Introduction to Business Intelligence and Predictive Analytics.mp4

20:06

2. Data Collection and Preparation.mp4

10:44

3. Descriptive Analytics.mp4

10:48

4. Predictive Modeling Techniques.mp4

10:22

5. Advanced Predictive Analytics.mp4

14:52

6. Big Data and Predictive Analytics.mp4

15:55

7. Implementing BI and Predictive Analytics Solutions.mp4

17:52

8. Case Studies and Emerging Trends.mp4

05:43

9. Business Intelligence (BI) and Predictive Analytics 101 - Quiz.html

Description

Business Intelligence, Predictive Analytics, BI, Artificial Intelligence and BI, Big Data Analytics. BI Tools, AI and ML

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.

Who is this 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

What You Need to Know?

Basic skills and Ideas of Business Intelligence and Predictive Analytics !

More details

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

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Business Intelligence

Dr. José J

Instructor's Courses

Achievements on Udemy: "375,000 Enrollments + 184 Countries + 52 Courses of Business, General Management, IT, Software and Systems, Education and Media Studies"Teaching Experience :Award Winning Researcher and Professor Dr. José is a Senior Researcher, Professor and subject matter expert of Business, IT, Systems and Media Studies at UTEL University, Universidad Centro Panamericano de Estudios Superiores - México, IBS-BFSU (International Business School - Beijing Foreign Studies University) China and Honorary and Visiting Professor of NGCEF Australia, ISCIP Canada and Judge of Global Forum on Business Case Study who is an accomplished expert on digital transformation and innovation featuring large enterprises and strategies of startups in digital platform ecosystems.Instructional Design and Curriculum Development Experience :He Designed and Developed more than 5 Specialized Post Graduate Master Degree course for International Business School - Beijing Foreign Studies University (IBS - BFSU). His core expertise is in the area of corporate entrepreneurship, organizational innovation, and learning. Dr. José has a rich mix of teaching and industry experience (More than 15+ Years) working as a business and IT consultant to over 20 very successful start-up businesses along with strategic planning, Digital and IT management support for Global clients. He designed, developed and hosted more than 200+ Corporate Business Websites since 2007 and received more than 10 awards for his enormous graphic and web design works.Interests of Teaching Topics :He has conducted, handled and supervised more than 10,000 students since 2007 and major training sessions for UG, PG Master Degree graduates covering Entrepreneurship Development, Business Management, Human Resource Development, Marketing, Digital Marketing, Financial Markets, Economics, Statistics, Education, Psychology, Personal Development, Multimedia, Information Technology, Software Certification Courses of Microsoft, Oracle, IBM, Cisco, Amazon, Salesforce and Network Security and Cloud Systems. Regular Keynote Speaker of AEIC China and Whither Our Economies (WoE) Lithuania and currently he is guiding 5 Ph.D. Scholars for Business Administration, Computer Science and IT Domains.Certifications, Research and Publications :He is an International Faculty and completed more than 30+ Software, IT and Business Certifications which Includes Brainbench, Adobe, Autodesk, Microsoft, Amazon AWS, IBM Statistics 101, Cisco Network Academy, Kaya Connect London, Cornerstone OnDemand Foundation, Google, UNICEF and UNESCO. He is an Editor of Science Direct PLAS Journal and certified reviewer of Elsevier, Clarivate, Wiley, Science Direct, Springer Nature and IOP Publishers. He published more than 50 research and review articles and 8-12 solo-authored full case studies have been published under his name along with 4 Book chapters and numerous book reviews for international independent book publishers in Germany. He has published more than 10 Research Articles in the WoS & Scopus Listings. Google Scholar Citation 50+, and Research Gate Score is 212.7 with 30+ Citation and 50000+ reads. European Alliance for Innovation (EAI) Score is 16. Honors’ and Awards :Top funding project writer Dr. José received, Best Ph.D. Thesis Award 2018, Distinguished Young Scientist 2017, University Topper (2011-2012), 7 Times received the FCB - Faculty Competency Building Award (2011-2018) and Mr. Perfect Award at 2008.International Memberships and Activities:He is having 35+ International academic and professional bodies’ memberships around the world which Includes IEEE, Oulu Entrepreneurship Society - Finland, Middle East Research Institute, Internatioal Entrepreneurs Association, Africa Society of Association Executives (AfSAE), Association of Strategic Marketing, National Science Teaching Association, ISPIM - International Society for Professional Innovation Management, ITPA - Information Technology Professionals Association and IAENG - Society of Operations Research and He is serving as a volunteer for Scopus, Web of Science and ABDC Indexed journal’s editorial and reviewer board member for more than 30+ Journals and reviewed 200+ articles since 2019.

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