Dr. Qasim
    Trusted teacher
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    Trusted teacher
    from61.00EUR/ h

    Econometrics, Statistics, Economics, STATA, R, SPSS, EVIEWS and MATLAB

    I have eight year of teaching experience in Economics, Econometrics and Statistics. I have taught different students at A-level, B.com, M.com/MBA, MSc and M.phill level.

    I am currently visiting lecturer of Econometrics and Statistics at Arid Agriculture university Rawalpindi.

    My Teaching Courses are:
    • Microeconomics
    • Macroeconomics
    • Statistics for Business
    • Econometrics
    • Mathematical Economics
    • Managerial Economics
    • Economics (A-Level)
    • Data Analysis Software

    My Teaching Methodology

    My teaching methodology is interactive and engaging. I believe, things become very simple if concepts are clear to students, I focus on clarity of concepts (from basic) and teach them with examples (which are given from our daily life) and application.

    Location

    Online via webcam

    General info

    Age:
    Children (7-12 years old)
    Teenagers (13-17 years old)
    Adults (18-64 years old)
    Seniors (65+ years old)
    Student level:
    Beginner
    Intermediate
    Advanced
    Duration:
    60 minutes
    The class is taught in:English, Urdu, Persian

    About Me

    Dr. Qasim Raza: Economist, Researcher, Lecturer, and National Statistical Officer

    I am Dr. Qasim Raza, renowned for my dual role as a distinguished lecturer in Economics, Econometrics, and Statistics, and as a dynamic National Statistical Officer at MicroMerger (Pvt.) Ltd., Islamabad. With an eight-year tenure in academia and significant contributions to economic research and data analysis, I blend theoretical knowledge with practical applications to address complex challenges.

    Academic Excellence at COMSATS University Islamabad & Arid Agriculture University:

    As a Visiting Lecturer at COMSATS University Islamabad & Arid Agriculture University, I specialize in Econometrics and Statistics. My teaching philosophy is rooted in an interactive, concept-clearing methodology, utilizing everyday examples and practical applications to demystify complex theories for students ranging from A-level candidates to M.Phil scholars.

    Professional Role: National Statistical Officer

    In my role at MicroMerger (Pvt.) Ltd., from April 2023 to December 2023, I led a team focused on analytical processes for the Polio-Eradication Initiative, ensuring the accuracy and integrity of data analysis. My responsibilities encompassed:
    Leadership and Innovation in Analysis: Managing and innovating analytical strategies for enhanced data analysis, particularly in polio datasets.
    Technical Proficiency: Utilizing Python for machine learning model development, Data Model in Power BI, and ArcGIS for geospatial analysis.

    Research and Technical Expertise:

    Holding a Ph.D. in Economics, my research significantly contributes to poverty analysis and econometrics. My technical skills in Python, Power BI, data modeling, and machine learning models enable me to apply cutting-edge technologies to solve real-world problems, making me a sought-after educator and consultant.

    Comprehensive Teaching Portfolio:

    My extensive course repertoire includes Microeconomics, Macroeconomics, Business Statistics, Econometrics, Mathematical Economics, Managerial Economics, and A-Level Economics. I am dedicated to providing a learning experience that equips students with the knowledge and tools necessary for impactful decision-making in their careers.

    Vision for the Future:

    I am committed to inspiring the next generation of economists with a blend of theoretical knowledge and practical skills, leveraging the latest technologies and research methodologies in economics. My goal is to make a significant impact in both the academic and practical fields of economics, enhancing learning experiences and contributing to data-driven strategies in public health and beyond.

    Education

    I have recently completed my Ph.D. in Economics, demonstrating my extensive expertise in the field. Before this achievement, I pursued an M.Phil. in Econometrics and Statistics at the Pakistan Institute of Development Economics, Islamabad, following an MSc in Economics. This progression through rigorous academic programs highlights my deep dedication to and expertise within economics, positioning me as a specialist in the discipline.

    Experience / Qualifications

    I have more than 8 year teaching experience at university level as well as college level. I have also more than 6 years experience in data analysis, econometric modeling and statistical modeling.
    Specialized Services (Thesis Data Analysis, Targeted Projects): Global Projects: Note: Pricing depends on project complexity, data analysis depth, and specific requirements. Middle East Projects: Note: Rates reflect regional economic factors and the specialized nature of the services offered. Factors Influencing Project Pricing: Complexity and scope of the project Required turnaround time and deadlines Nature and detail level of expected outcomes Dr. Qasim's extensive experience and academic background Consultation: For a precise quote tailored to your specific project needs, please contact me for a detailed consultation. This will ensure that the pricing accurately reflects the value provided and meets your expectations.

    Ask a question

    Send a message explaining your needs and Dr. Qasim will reply soon:
    The more detail, the better.
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    Availability of a typical week

    (GMT -04:00) New York
    MonTueWedThuFriSatSun
    0  Monday at 0:00  Tuesday at 0:00  Wednesday at 0:00  Thursday at 0:00  Friday at 0:00  Saturday at 0:00  Sunday at 0:00
    1  Monday at 1:00  Tuesday at 1:00  Wednesday at 1:00  Thursday at 1:00  Friday at 1:00  Saturday at 1:00  Sunday at 1:00
    2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
    3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
    4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
    5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
    6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
    7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
    8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
    9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
    10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
    11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
    12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
    13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
    14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
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    22  Monday at 22:00  Tuesday at 22:00  Wednesday at 22:00  Thursday at 22:00  Friday at 22:00  Saturday at 22:00  Sunday at 22:00
    23  Monday at 23:00  Tuesday at 23:00  Wednesday at 23:00  Thursday at 23:00  Friday at 23:00  Saturday at 23:00  Sunday at 23:00
    from 61€Online via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

    Online reputation

    • Instructor since January 2021
    • Phone number verified
    • Google connected
    • Linkedin connected

    Availability of a typical week

    (GMT -04:00) New York
    MonTueWedThuFriSatSun
    0  Monday at 0:00  Tuesday at 0:00  Wednesday at 0:00  Thursday at 0:00  Friday at 0:00  Saturday at 0:00  Sunday at 0:00
    1  Monday at 1:00  Tuesday at 1:00  Wednesday at 1:00  Thursday at 1:00  Friday at 1:00  Saturday at 1:00  Sunday at 1:00
    2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
    3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
    4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
    5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
    6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
    7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
    8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
    9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
    10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
    11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
    12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
    13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
    14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
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    22  Monday at 22:00  Tuesday at 22:00  Wednesday at 22:00  Thursday at 22:00  Friday at 22:00  Saturday at 22:00  Sunday at 22:00
    23  Monday at 23:00  Tuesday at 23:00  Wednesday at 23:00  Thursday at 23:00  Friday at 23:00  Saturday at 23:00  Sunday at 23:00
    from 61€Online via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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