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Academic Statistics Training program | PhD Assistance

Statistics

Learn How to run statistics for your research. Statistics covers the science of collection, organization, and statistical analysis of data, but also has a unique focus on the explanation of findings, driving a deeper understanding of the data and its meaning. Providing professionals and graduate students in diverse fields, a short-term training program to improve computational and statistical skills. Then Leverage the power of statistics course from PhD Assistance, a real-time expert working in various institutions across the world.


  • Expert statistician led training
  • Comprehensive International Curriculum, with case studies, Peer reviewed journals as a reference case for your methodology
  • A Capstone project – identify problem of their choice and engage with experts to produce a substantial report
  • Instalment Options

About


Ph.D. assistance, a team of experts, has a strong foundation and experience in handling the research and analysis work across the globe. Given that our team has handled Ph.D. /doctorate /DBA students from the USA, Australia, UK and other international top universities, the ultimate goal is to simply transfer our knowledge, experience, skills and learnings to students. We have a network of doctorate and research guides who would assist in the completion of Ph.D. /doctorate /DBA and its related services. Our team comprises of experienced professors, young and dynamic researchers, relevant subject matter expertise, industry professionals who provide continuous support to understand the real world situation, research methodologists, data collection team (both online and offline), statistician team (including econometrician, biostatistician), developers, copy editors (including manuscript editors) and proofreaders (manuscript proofreaders/thesis proofreaders), and formatting and referencing team (including APA, MLA, Chicago).

Learning Outcome


Usually, an aspiring statistician may earn an applied statistics certificate or a statistical theory and methods certificate. They study topics such as probability, statistics and data analysis that could prepare students to become researchers, consultants and management professionals. There are two areas of specialization: applied statistics and statistical theory and methods.

While learning applied statistics, students will hone their analytical and data analysis skills while learning about the basics of statistics. When it comes to statistical theory and methods, students learn to develop methods to explain quantifiable data patterns that develop in the social, natural and physical sciences. At PhD Assistance, we have designed our course with an aim to impart our students the essential statistical concepts and methodologies to develop your presentation and analytical skills that are critical to your successful professional career or entrepreneurship.

The primary objectives of our certification course are to

  • Make you gain useful insights about the various statistical concepts that are unique to academics
  • Help you take timely and best possible decisions in your problem of study
  • Developing statistical considerations (statistical hypotheses, statistical methods and sample size justification) for research proposals,
  • Conducting statistical analysis in the analysis phase.
  • Providing clear and precise written reports with appropriate tables and graphs of all statistical analyses.
  • Assist you making an effective graphical presentation of numerical data collected.
  • Understand the different statistical techniques and their significance.
  • Assist you learning about the critical statistical tools useful in your task of measurement and evaluation
  • Demonstrating how to interpret and report each type of statistical procedure, giving reasonable rational for the selection of statistical analysis and how the statistics were run in statistical software.

Who Can Attend


  • Ph.D. Research Scholars
  • Freelance Academic Writers
  • Research Institutions
  • Professors and Lecturers
  • Corporate – Marketing Division

Curriculum


Basic Level course:


Work Shop

Details

Activity

Time & Day

The basic Statistics

  • Population & Sample
  • Mean, sum of squares, variance and Standard deviation
  • Frequency distribution
  • The standard error and confidence interval
  • Test statistics, Type I and Type II error, One and two tailed tests
  • Effect size and Power

Basic concepts

Lecture + Discussion

Day 1

How to handle data – Learn Data management techniques

Theory Inputting the data

Lecture + Discussion

Day 2

Basic Introduction to SPSS Environment

Running the analysis

Day 2

Exploring data

  • How to run descriptive statistics
  • How to identify errors
  • How to correct problems
  • How to transform the data
  • Kolmogorov-Smironov test
  • Homogenity of variance
  • Checking Homoscadscity and heterscadicity

Analysing the output Writing and interpreting the results

Day 3

Parametric and Non Parametric analysis – When, why and what to run?

Day 4

Day 4: Real time workouts – One on one sessions (practical exposure) Presentation of Power point study using the case study provided on the same day All the lectures will be interactive

Level 1a – Parametric

Topic

Details

Activity

Time & Day

Basic Introduction

Basic concepts of quantitative analysis

Lecture + Discussion

Day 1

Correlation

Theory

Lecture + case study discussion + Interactive sessions

Day 1

Linear regression

Inputting the data

Day 1

Logistic Regression

Running the analysis

Day 2

ANOVA and ANCOVA

Analysing the output

Day 2

Factorial ANOVA

Writing and interpreting the results

Day 3

Repeated Measures Design

Day 3

Mixed design ANOVA

Day 4

Factor analysis

Day 4

Case Study*

Day 4

Practical & Homework

Day 4

Day 4: Real time workouts – One on one sessions (practical exposure) Presentation of Power point study using the case study provided on the same day All the lectures will be interactive

Level 1b– Non Parametric

Topic

Details

Activity

Time & Day

Basic Introduction

Basic concepts of qualitative analysis

Lecture + Discussion

Day 1

Wilcoxon Rank Sum Test

Theory

Lecture + case study discussion

Mann Whitney Test

Inputting the data

Lecture + case study

Wilcoxon Signed Rank test

Running the analysis

Lecture + case study

Kruskal Wallis Test

Analysing the output

Lecture + case study

Day 3

Friedman’s ANOVA

Writing and interpreting the results

Lecture + case study

Multivariate Analysis of Variance

Lecture + case study

Day 4

Factor Analysis

Lecture + case study

Day 4: Real time workouts – One on one sessions (practical exposure) Presentation of Power point study using the case study provided on the same day All the lectures will be interactive

Gist

  • Introduction to statistics
  • Importance of Statistics relating to education, market research, and business
  • Types of Statistics
  • Descriptive Statistics
  • Inferential Statistics
  • Mean, median, mode and Standard Deviation
  • Data and its types
  • Primary and secondary data
  • Qualitative and Quantitative data
  • Continuous and Discrete data
  • Different Data collection methods
  • Grouping and Data Tabulation
  • Frequency Distribution
  • Data collection methods
  • Theory of probability
  • Significance of probability in statistical analysis and inference
  • Graphical Data Representation
  • Line diagram, bar chart
  • Pie charts and Pictograms
  • Benefits, Relevance and Limitations of statistical techniques in real life

Faculty


Our team of faculty comprises of research scholars and Doctoral hands in fields of Research Studies, Language, and Literature, Education, Pedagogy, Statistics, etc. who have been in the profession of guiding scholars with courses on research methodology and its importance for more than a decade now. They’ve produced successful research scholars and budding fellow teachers who passed on their knowledge of research methodology, through the years. Our certification course consists of classroom training, expert lectures, case studies, practical exercises, video presentations and collaborative sessions offered by our expert faculty members.

Fees Structure


Offline Classes Only

Class

Course Fee Individual*

Institutes (15+)

Corporate(20+)

Number of classes

Course Materials

Basic

6000 INR

3000 INR

4000 INR

4 classes /12 hours*

Yes, Soft copy

Level 1

12,000 INR

9500 INR

8500 INR

4 classes /20 hoursβ

CD + Materials

Level 2

12,000 INR

9500 INR

8500 INR

4 classes /20 hoursβ

CD + Materials

**Service Tax 10.3% applicable

*Flexibility

Days: Saturday or Sunday
*10.00am -12.00pm and 2.00pm-3.00pm
β9.00am-1.00pm and 2.00pm-3.00pm
ψ10.00am-1.00pm and 2.00pm-5.00pm

Certification


Tests will be conducted at the end of each aspect that is covered. On successful completion of all the tests with a satisfactory percentage, Ph.D. Assistance will issue a certificate of completion. There are several attempts that every candidate can take to complete the module tests, failing which the certificates will not be awarded. The candidates are free to choose certificates pertaining to their domain of interest, be it scientific research, experimental research, artistic research, historical research, etc.

Internship & Freelance Job Opportunity


At Ph.D. Assistance, we offer internship and freelance job opportunities to students across the globe. The internship is offered to students who had completed their course successfully. Through an internship, you will get an opportunity to gain both theoretical and practical knowledge and thereby aspire in the path of growth. We have both paid, and unpaid internship and choice depend on your skills and commitment. If you have a keen interest in research methodology courses and looking forward to gaining career experience in the industry, Ph.D. Assistance is the ultimate destination.