Overview
Define and explain key concepts in statistics, such as measures of central tendency, variability, and probability., Demonstrate the ability to organize, summarize, and visualize data using appropriate statistical techniques., Apply the principles of probability to solve practical problems and make informed predictions., Interpret the results of probability distributions and understand their relevance in statistical analysis., Formulate hypotheses and conduct hypothesis tests for population parameters., Interpret p-values and confidence intervals to make informed decisions about statistical significance., Construct confidence intervals for population parameters and understand the precision of estimates., Evaluate the impact of sample size and variability on the width of confidence intervals., Develop skills in building and interpreting simple and multiple regression models., Understand how to identify and interpret the coefficients, including assessing their statistical significance., Apply diagnostic techniques to assess the assumptions of regression models., Address issues like multicollinearity and heteroscedasticity to enhance the reliability of regression analysis., Apply various time series forecasting methods, such as moving averages and exponential smoothing., Evaluate the accuracy and reliability of time series forecasts in different contexts., Apply regression analysis techniques to estimate parameters and test economic hypotheses., Critically assess the implications, limitations, and policy relevance of econometric results in economic applications.
All UG and PG Business, General Management, Statistics, Commerce and Economics students, Interested students to learn about the concepts of Statistics and Econometrics
Basic skills and Ideas of Statistics and Econometrics !
Master Course in Statistics and Econometrics (101 level)
Unlock the power of data-driven decision-making with our Master Course in Statistics and Econometrics. This program is crafted to provide a profound understanding of foundational statistical concepts and their application in the dynamic field of econometrics. Through a blend of theoretical insights and practical applications, participants will develop the skills necessary for advanced statistical analysis and econometric modeling.
1. Foundations of Statistics: Delve into the fundamental principles that underpin statistical analysis. Explore probability theory, descriptive statistics, and key concepts such as random variables and probability distributions. Establish a solid foundation for more advanced statistical techniques and their application in economic contexts.
2. Statistical Inference: Master the art of drawing meaningful conclusions from data. Learn the principles of statistical inference, hypothesis testing, and confidence intervals. Understand the nuances of sampling techniques and the implications of sample variability. Gain the skills to make informed decisions based on statistical evidence.
3. Regression Analysis: Go beyond the basics and immerse yourself in the intricacies of regression analysis. Explore simple and multiple regression models, diagnostics, and model selection techniques. Learn to interpret regression results and apply these skills to real-world economic data, enabling you to make accurate predictions and informed policy recommendations.
4. Time Series Analysis: Grasp the complexities of time-dependent data and its relevance in economic contexts. Study time series models, forecasting methods, and analyze temporal patterns. Acquire the skills to handle economic data with a temporal dimension, crucial for understanding trends and making predictions in dynamic environments.
5. Econometric Modeling and Applications: Integrate statistical methods into the economic modeling process. Explore econometric techniques such as simultaneous equations models, panel data analysis, and instrumental variable methods. Apply these tools to address economic questions, assess policy impacts, and analyze complex relationships within economic systems.
Throughout this Master Course, participants will engage in practical exercises, case studies, and real-world applications, gaining a holistic understanding of the symbiotic relationship between statistics and econometrics. By the end of the program, graduates will possess the expertise to navigate intricate statistical challenges and contribute meaningfully to the field of econometrics. Elevate your analytical skills and unlock new possibilities in the world of statistical and econometric analysis.
This master course, I would like to teach the 6 Major topics :
1. Foundations of Statistics
2. Statistical Inference
3. Regression Analysis
4. Time Series Analysis
5. Econometric Modeling and Applications
6. Business and Academic Success: The Power of Statistics and Econometrics
Enroll now and learn today !
Dr. José J
Achievements on Udemy (UDEMY BUSINESS BEST SELLER):
[1] Enrolled over 359,000 students from 211 countries & 17 UFB Courses.
[2] Delivered a staggering 2.42 million course enrollments, with 2,163,280.80 minutes taught (Upto Nov' 2023).
[3] Offered a diverse array of 239 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] 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] UNESCO Inclusive Policy Lab Expert (IPL) of 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 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 75+ and Research Gate Score is 248 with 44+ Citations, 50000+ 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 2019-2023.
[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.