3.9 out of 5
11 reviews on Udemy


Google Analytics, Large Scale Optimization, Market Algorithms, Research Methods & Disruptive Innovation Strategy (A-Z)
Junaid Zafar
90 students enrolled
English [Auto]
This course would enable you to design an independent thinking process from creativity to entrepreneurship. It allows you deal with large scale graphs using Google Analytics and to familiarize you with marketing strategies. Hashing algorithms and Disruptive innovation model is included to give you an insight of their potential in coming times. Second part of this module will provide an opportunity for participants to establish or advance their understanding of research through critical exploration of research language, ethics, and approaches. The course introduces the language of research, ethical principles and challenges, and the elements of the research process within quantitative, qualitative, and mixed methods approaches. Participants will use these theoretical underpinnings to begin to critically review literature relevant to their field or interests and determine how research findings are useful in forming their understanding of their work, social, local and global environment.

This course will provide a prospect for participants to establish or progress their considerate of optimization algorithms through critical examination of research process, approaches and publishing dimensions.

The course introduces elements of the research process within quantitative, qualitative, and mixed methods domains. Participants will use these underpinnings to begin to critically understand design thinking, large scale optimization, graph mining and hashing algorithms. They would be able to develop understanding to formulate a research question and answer it by framing an effective research methodology based on market algorithms. Furthermore, they would learn to derive meaningful inferences using Google analytics and disruptive research and innovative strategies.

In the They would be able to report and publish a papers in renowned journals, conferences and to foster technical reports in their areas of interest.

· Design Thinking Using Immersion and Sense Making.

· Large Scale Graph Mining.

· Hashing Algorithms.

· Marketing Algorithms.

· Disruptive Strategy for Innovation.

· To familiarize with research terminology.

· Be aware of the principles of research, ethical challenges and approval processes.

· Describe quantitative, qualitative and mixed methods approaches to research.

· Identify the components of a literature review process.

· Critically analyze published research.

· Able to write, submit and publish technical, scientific and review paper.

· Research Publishing Ethics including data privacy, informed consent and declaration of competitive interests.

Research Dimensions

Understanding The Research Terminology & Research Process

Students would able to understand Research and the Research Processes

Lesson 2: Research Ethics and Integrity

Research Ethics and Integrity

Lesson 2: Research Ethics & Integrity

Research Ethics and Integrity practices ensure that research is steered according to the highest standards of training, and with the minimal risk of adverse outcomes. Efforts should be concerted on the fact that research community will take your findings with confidence for a wider dissemination. To realize this objective, undermentioned are few highlights to be considered;

· Research should be conducted and reported honestly.

· Conclusions drawn from research can be relied upon to be accurate.

· Protecting the vulnerable and ensuring their safety and wellbeing.

· Safeguards data collected during the course of research, particularly sensitive data, respecting confidentiality.

· Avoids unfair allegations of misconduct, whilst ensuring that genuine concerns are appropriately investigated.

· Ensures conflicts of interest are identified and avoided.

· Are there potential risks to researchers and participants involved in the research?

· Could the dissemination of your findings adversely affect participants?

· Will your research be carried out in a hazardous area or in an area not recommended for travel?

· Does your research concern groups which are legally construed as terrorist or extremist?

· Will the research expose either researcher or participants to situations or circumstances they might find distressing?

· Members of a stigmatized or marginalized social group?

· An informed consent must be sought individually?

· Will the purpose of your research be concealed from participants at the outset?

· Are you collecting personal data, either face to face or online? If so, how will you obtain the consent of participants? How will this be securely stored and maintained? How will this data be used? With whom will it be shared? How and when will it be disposed of? How do I identify and address any concerns?

· In undertaking an ethical assessment you might conclude that there is no plausible risk of harm in the proposed research activities. If, however, you conclude that there ARE some risks, then the important thing is to think about what you might do to reduce, minimize or prevent them. You will be asked to clarify how you plan to achieve this, and ethical approval will be conditional on those plans being credible.

· In the research writing phase avoid plagiarism in all its forms.

· Give due credit to the papers you benefited from during your research in the form of citations.

· Acknowledge the resource, financial and technical support sought during research as a separate statement.

· Declare conflicts of interest if any while submitting your research.

· Provide meta data as annexes, if asked for.

Research Design Thinking Process

Research Thinking From Creativity to Innovation

Quantitative Research

Quantitative Research and its Types

After completing this lecture, students would be able to clearly understand what quantitative research is and its various methods. They would further be able to evolve a quantitative research design for their research question or hypothesis.

Quantitative Research

Qualitative Research and Methods

After completing this lecture, students would be able to comprehend the basics of qualitative research and its various techniques. They would further be able to exemplify and evolve a qualitative research design for their research question or hypothesis.

Mixed Methods

Mixed Methods and their research implications

Sampling Techniques in Research

Random, Stratified, Systematic and Clustered Sampling Techniques

Randomized Control Trials

Why use RCTs for Trials in Research

Natural Language Processing in Research


Advanced Research Techniques

Advanced Research Techniques including machine learning approaches

After this lecture students would learn the importance of systematic analysis and how it should be conducted.

Why systematic Review and Meta Analysis is important for Evidence based studies

Systematic reviews are  convenient evidence based summaries which serve as a powerful tool for imperative decisions. They are considered to be the basis for guidelines of social science and medical practice suggesting directions for new research. These reviews, constructed through well-defined methods, have key role in Social Science Research and Evidence-Informed Health Care which means to apply new therapies and treatments. Systematic reviews provide a precise summary of a topic and have many advantages over narrative reviews. Meta-analysis is a technique which plays an important role in increasing the precision of systematic reviews.

Steps of preparation of a systematic review include:

1- Defining the review question

2- Search and selection of studies

3- Critical evaluation of studies for biases

4- Data Collection

5- Data analysis and presentation of results

6- Interpretation of results and drawing conclusions

7- Improving and updating reviews.

A reader should first be able to evaluate the quality of a systematic review before practicing the evidence provided by it as it helps to practice the provided evidence more effectively.

Graph Mining

How to use large scale graphs using Google analytics

Hashing Algorithms in Innovation Management

Key differences between different hashing algorithms

Publishing Research: Research Paper Writing

How a research topic is to be selected

Developing an effective Research Question is very pertinent and serve as a placid base to design your research. While framing a research question/ topic, undermentioned are few thumb rules;

  • brainstorm for ideas and choose a topic that will enable you to read and understand the literature

  • Thoroughly go through the available literature and find an unmet need for which sufficient material is available and you have hands on material too.

  • Form a broader list of key words and define your topic as a focused research question

  • Refining your topic continuously as you research and read more about your topic. This helps you in narrowing doing and going deep on specific theme.

  • Finally, formulate a research statement

Your research question must must be narrow and focused enough to create new knowledge or at least challenge the existing findings.

Graph Theory in Research Optimization

Optimization through Graph Theory In Deep Learning

Publishing Ethics

Students would learn about Informed Consent & Competitive Interests

Marketing Strategies

Moving Averages, Dynamic Moving Averages and Momentum

Disruptive Innovation

Why its imperative to understand disruptive innovation cycle
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
3.9 out of 5
11 Ratings

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Certificate of Completion
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