Digital Course on Research Methods and Statistics

 

 

Monk® Prayogshala® Presents a Digital Course on Research Methodology & Statistical Reasoning

Dear All,

Please find attached details of "A ​Digital Certificate ​Course on Research Methodology and Statistical Reasoning​" organised by Monk® Prayogshala®. 

For enquiries, please contact 

​

​Nikita

​D'Souza ​

at the coordinates below:
Email: 

​nd

@monkprayogshala.in

​Phone: +919167790426​

COURSE HIGHLIGHTS

Practical problems and examples from social sciences and daily life 

More than 8 hours of high quality content 

11 sections, 60 lectures, 21 quizzes and 1 assignment 

Unlimited access to the course for 7 days 

Learn any time, anywhere! 

Learn on your desktop, laptop, tablet, and smart phone 

Engage with our research personnel for 1 hour after the course 

Receive a physical copy of the certificate!

REGISTRATION FEE

Students (up to Post Graduation):  Rs. 2,000/- (all inclusive)  

PhD/Professionals/Faculty:  Rs. 3,500/- (all inclusive)

Registration fee covers ​course charges, course material, and certificate.

To register or learn more about the course, click below:

PAYMENT DETAILS

You can make your payment through DD/cheque/NEFTKindly prepare a crossed cheque/demand draft payable at Mumbai favouring "Monk Prayogshala".

Alternatively, kindly deposit the amount to the below mentioned bank account: 

Payee: Monk Prayogshala 

A/C No.: 50200005107861 

Bank Name: HDFC Bank Ltd. 

Bank Branch: Powai, MumbaiBranch 

IFSC Code: HDFC0000239

    

ELIGIBILITY

·         Undergraduate Students

·         Postgraduate students

·         MPhil students

·         PhD students

·         Professionals

·         Faculty pursuing Research or practice OR 

·         Any person with basic understanding and interest in research and statistics.

ABOUT THE DIGITAL COURSE

About Monk® Prayogshala® (Sec 25)

We are a not-for-profit academic research institution, registered under the Companies Act, 1956. We undertake projects covering the entire research life cycle from proposals to experimentation through to publishing and feedback integration. We follow rigorous processes in the development of our research proposals, while ensuring that we adhere to ethical considerations prescribed by international organisations. We respect the confidentiality of our participants, their activities and expect all research personnel to adhere to the same. We are an equal opportunity employer.

​​

What is Research Methodology and Statistical Reasoning? 

Statistics are widely used in social sciences, business, and daily life. Given the pervasive use of statistics, this workshop aims to train participants in the rationale underlying the use of statistics. This workshop aims to explain when to apply which statistical procedure, the concepts that govern these procedures, common errors when using statistics, and how to get the best analysis out of your data. Research methodology is used a base to explain statistical reasoning. The workshop also familiarises you with commonly used software for statistical analysis. 

Course Summary 

The course will take 11 hours to complete, including one contact hour with the course instructor after completing the lectures and quizzes. It includes materials such as comprehensive notes and awards a certificate after course completion. The course is divided into 11 major sections, which include 60 lectures and 21 quizzes. The course not only includes course content, but instructors that are approachable after completing it, who will provide feedback and address your specific needs. You would have access to the complete course for 7 days after activation, and would need to submit your assignment within the 7 day period. Upon successful completion, you would be provided with an hour of personalized access to one of our qualified research instructors, to resolve your queries. 

Why Do You Need it? 

· Applied statistics are an important part the curriculum at the Undergraduate, Postgraduate, MPhil and PhD levels.  

· Students at all levels require knowledge of research methods and statistics. This course will help make statistics a more approachable subject.  

· As a student and professional, statistics enables you to evaluate, infer, and understand your product, situation, service, or a treatment option.  

· Learning about the errors in statistics will make it easier to interpret statistical literature, research articles, and the claims made on the basis of statistics.  

· The intensive nature of the course ensures that your specific doubts and questions are addressed making it a personalized experience. 

What are the Benefits of doing a Digital Course on Research Methodology and Statistical Reasoning? 

· The course uses practical problems and examples from social sciences and daily life to explain the content. 

· The intensive course includes 10 instruction hours with 11 sections, 60 lectures, and 21 quizzes. 

· You have unlimited access to the course for a period of 7 days, allowing you to pace your own learning. 

· Do you want to save time spent in travelling? The digital course gives you the opportunity to learn anytime and anywhere. You can take the course on your desktop, laptop, tablet, and mobile phone. 

· If you know a topic well, you can choose to skip the lecture. If you are not completely sure of a topic, you can choose to view the lecture again. Therefore, learning is personalized and oriented towards your needs rather than that of the group. 

· Quiz sections on each topic ensure you have a conceptual understanding of the course content. 

· We do not part ways once you complete the digital lectures. You will be given the opportunity to complete an assignment, which will enable you to apply the workshop content to actual research problems. 

· We also provide you with notes, which can be used as reference during the course. 

· We do not believe in one-way learning. You can interact with the course instructor for 1 hour within a period of 7 days (after completing the course) to resolve any queries and discuss your assignment, based on prior appointment. 

· You will also receive a physical copy of the certificate after completing all quizzes and the assignment.

COURSE CURRICULUM

Section I: Importance of Statistics and Understanding Basic Concepts  

· Lecture 1: Introduction to Research 

· Lecture 2: Population and Sample 

· Lecture 3: Research Problem and Hypothesis 

· Lecture 4: Variables 

Section II: Research Methods and Design 

· Lecture 5: The Experimental Method 

· Lecture 6: Between Subjects or Independent Groups Design 

· Lecture 7: Repeated Measures or Within Subjects Design 

· Lecture 8: Complex or Factorial Design 

· Lecture 9: Non-Experimental and Quasi Experimental Group Design 

· Lecture 10: Natural Groups Design 

· Lecture 11: Observational Methods: Types 

· Lecture 12: Data Analyses of Observational and Descriptive Data 

· Lecture 13: Case Study 

· Lecture 14: Survey Research 

· Lecture 15: Choosing the Right Research Method 

Section III: Normal Curve and its Importance in Choosing a Statistic 

· Lecture 16: Normal Curve and its Properties 

· Lecture 17: Skewness, Kurtosis, and Tests of Normality 

Section IV: Steven’s Levels of Measurement 

· Lecture 18: Nominal Scale 

· Lecture 19: Ordinal Scale 

· Lecture 20: Interval Scale 

· Lecture 21: Ratio Scale 

Section V: Descriptive Statistics 

· Lecture 22: Descriptive Statistics: An Overview 

· Lecture 23: Measures of Central Tendency: Mean 

· Lecture 24: Measures of Central Tendency: Median, Mode 

· Lecture 25: Measures of Variability or Dispersion: Range 

· Lecture 26: Measures of Variability or Dispersion: Quartiles 

· Lecture 27: Measures of Variability or Dispersion: Variance 

· Lecture 28: Measures of Variability or Dispersion: Standard Deviation 

Section VI: Parametric and Non-Parametric Tests 

· Lecture 29: Parametric Tests: Description and Assumptions 

· Lecture 30: Non-Parametric Tests: Description and Assumptions 

Section VII: Inferential Statistics and Parametric Tests 

· Lecture 31: Inferential statistics: An Overview 

· Lecture 32: Null Hypothesis Testing 

· Lecture 33: Statistical Significance Testing 

· Lecture 34: One-tailed and Two-tailed Test 

· Lecture 35: t-Tests 

· Lecture 36: Analysis of Variance (ANOVA): Part 1 

· Lecture 37: Analysis of Variance (ANOVA): Part 2 

· Lecture 38: Regression: Simple and Multiple 

· Lecture 39: Correlation: An Overview

· Lecture 40: Spearman’s Rank Order Correlation 

· Lecture 41: Pearson’s Product Moment Correlation 

· Lecture 42: Outliers 

· Lecture 43: Dealing with Outliers and Biases in Correlation 

· Lecture 44: Important Concepts in Inferential Statistics: Degrees of Freedom 

· Lecture 45: Important Concepts in Inferential Statistics: Confidence Intervals 

Section VIII: Non-Parametric Tests 

· Lecture 46: Chi-Square Test 

· Lecture 47: Sign Test 

· Lecture 48: Wilcoxon’s Sign Rank Test 

· Lecture 49: Median Test 

· Lecture 50: Mann-Whitney U Test 

· Lecture 51: Kruskal Wallis Test and Friedman’s two-way ANOVA 

Section IX: Interpreting a Statistic 

· Lecture 52: Factors related to interpreting a Statistic 

· Lecture 53: Errors made during interpretation 

· Lecture 54: Effect Size and Practical Significance 

Section X: Common Errors and Biases when using Statistics 

· Lecture 55: Sources of Bias 

· Lecture 56: Errors in Methodology 

Section XI: Software for Statistical Computations 

· Lecture 57: Statistical Package for Social Sciences: SPSS 

· Lecture 58: R 

· Lecture 59: PSPP 

· Lecture 60: Course Notes

TESTIMONIALS

Testimonials from the Research Methodology and Statistical Reasoning workshop conducted by Rupa Kalahasthi at Monk® Prayogshala®, Mumbai (November, 2014)

"I have learned lots of (sic.) stats (sic.) which will be useful further. It was also very simplified, so hope to make things easier in future researches (sic.) with these (sic.) knowledge.”​ 

                                                                               ​                           Foram Mehta, Student  

“A lot of valuable information definitely because a lot of it is not covered up in academics. All questions were answered very well clearing up all possible doubts.”

          ​                                        ​Meeti Doshi, Student  

Testimonial from the Research Methodology and Statistical Reasoning workshop conducted by Rupa Kalahasthi at Monk® Prayogshala®, Mumbai (September, 2014)

​"​What I liked about the workshop was that it was very well organized, rigorously prepared, the resource person(s) were very very (sic.) thorough with their knowledge, I liked the breadth of coverage, I really benefitted from the course thanks to Rupa and her team!​"​​  

                                                                                  ​Bakul Dua, Student

   

Testimonials from the Research Methodology and Statistical Reasoning workshop conducted by Hansika Kapoor at Monk® Prayogshala®, Mumbai (July 2014)  

“Very good explanation of the rationale behind using a particular statistic, notes are beautifully compiled…” 

Jhilik Dutta, Graduate Student (Psychology) 

“Three things I liked most were the friendly approach to stats (sic), covering all topics that were necessary and the systematic way with which I can consider which statistic test I should do (sic).”                                                

Snehal Subramanian, Psychologist

HOW TO REGISTER

​​

​

1. Click the link below or email at nd@monkprayogshala.in or call +919167790426. Limited seats available.

2. Make your payment through DD/cheque/ NEFT. 

 Students (up to Post Graduation) Rs. 2,000/- (all inclusive) 

 PhD/Professionals/Faculty: Rs. 3,500/- (all inclusive) 

Registration fee covers course charges, course material, and certificate. 

Kindly prepare a crossed cheque/demand draft payable at Mumbai favouring "Monk Prayogshala".Alternatively, kindly deposit the amount to the below mentioned bank account: 

Payee: Monk Prayogshala 

A/C No.: 50200005107861 

Bank Name: HDFC Bank Ltd. 

Bank Branch: Powai, Mumbai 

Branch IFSC Code: HDFC0000239 

3. Receive your registration confirmation 

4. Receive the access code and link for the digital course :) 

5. View all 60 lectures and read the course notes thoroughly. 

6. Complete the assignment (and quizzes). 

7. Engage with our instructor for 1 hour; clarify your doubts, and get feedback on your assignment. 

8. Receive your certificate!