KASTURBA GANDHI DEGREE & PG COLLEGE FOR WOMEN
WEST MARREDPALLY, SECUNDERABAD, TELANGANA - 500026
(Sponsored & Managed Jointly by the Osmania Graduates’ Association And The Exhibition Society, Hyderabad)
(Sponsored & Managed Jointly by the Osmania Graduates’ Association And The Exhibition Society, Hyderabad)
Statistics is an application oriented subject, Which is widely used in all disciplines. It serves as an important tool in the analysis and presentation of information.
In the year 2018, M.Sc.(Applied Statistics) was introduced with an intake of 47 students.
The demand for the subject is increasing day by day as it is useful for higher learning.Since the subject is practical oriented, to inculcate research attitude, the students in the department are encouraged to take up group projects.
Department offers add-on courses designed to meet the necessities of the industry. To name a few Bio-Statistics, Data Analytics using Python & R.
Department offers research analysis for projects & research scholars using SPSS, also offers skill development programs.
The Department has entered into a Memorandum of Understanding with the company Sigma India Pvt. Ltd.
The Department takes initiative to make the students involve in doing Major Research Projects, Which help them in Statistical analysis. The Staff and Students presented papers in National & International Conference.
Students won OGA Gold medals for securing highest marks. Most of our students got recruited into government sector and also top MNC companies like TCS, Infosys, Amazon & Wipro.
Statistics is an application – oriented subject, which is widely used in all disciplines. It serves as an important tool in the analysis and presentation of information.
Since the subject is practical oriented, to inculcate research attitude, the students in the department are encouraged to take up group projects.
| NAME | QUALIFICATION | DESIGNATION | EXPERIENCE |
|---|---|---|---|
| Dr.D.Lalitha Devi | M.Sc.(Applied Statistics), Ph.D H.O.D, | Associate Professor | 29 Years |
| Ms.K.Sangeetha | M.Sc.(Statistics), B.Ed | Assistant Professor | 18 Years |
| Ms. J. Sai Pavani |
M.Sc. (Applied Statistics) Alumni |
Assistant Professor | 4 Years |
| Ms.R.Prathyusha |
M.Sc. (Applied Statistics) Alumni |
Assistant Professor | 3 Years |
| Ms.Ch.Vidhatri | M.Sc. (Statistics) | Assistant Professor | 2 Years |
| Ms. Ruchi Supriya Mohanty | 1 Years |
Ms .J. Saipavani, Assistant Professor, invited as a guest on occasion of Telangana Education Day as a part of “Telangana Dhashabdhi Utsavalu” at TS Model School and Jr. College, Bommalaramaram, Yadadri – 20/06/2023.
Dr. A. Lalitha Devi, was invited as judge for project presentation in Statistics as part of National Science Day celebrations on 28/02/2024 at Bhavan’s Vivekananda College.
Dr. A. Lalitha Devi gave a guest lecture titled “Scope and Applications of Operations Research” on 01/03/2024 at Keshav Memorial College.
Ms. Ch. Vidhatri, Assistant Professor, Department of Statistics, Presented a paper in Two day Multi - Disciplinary National Conference organized by Indian Institute of Management and Commerce on 9 th January 2025.
Ms. Neela Vaishnavi and Ms. D.Hepsiba presented papers at a State Level Seminar on “ICT for Enhanced Teaching & Learning”.
Ms.Neela Vaishnavi has been awarded third prize for paper “Accelerating a Pathway to Women’s safety”.
Students of the department completed their internship at NAARM
All India Industrial Exhibition Society awarded “Gold Medal” to Ms.J.Saipavani for securing highest marks in M.Sc(Applied Statistics) in the university examination.
Ms. E. Bhuvana, Ms. T. Swetha Sri, Ms. R. Prashanthi of MSc., Applied Statistics II year Students recieved 1st prize in quiz competition conducted by National Sample Survey Office NSSO on Statistics Day
Students of Statistics Dept. have attended the Skill Development Program by Nandi Foundation from 2nd January, 2023 to 6th January, 2023 and two of our students have been awarded with Excellence award and Improvement Award.
Ms.K.Kavya, received Gold medal for securing highest marks in M.Sc (Applied Statistics).
A three day Skill Development Program - “Survey Data Analysis Using SPSS” was conducted in collaboration with Sigma India Company.
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Department of Statistics extended Research consultancy services to Department of Nutrition & Dietetics using SPSS.
As a part of Inter Departmental Activity, a Guest lecture was deliverd by Dr.Annapurna Bhavani, HoD Biotechnology.The resource person spoke about the application of statistics in clinical trials.
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Every year students of the department visit SADHANA –Institute for Mentally Challenged as a part of community connect.
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The Department has visited and served the cows as a part of Decennial Celebrations of Community Connect.
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As a part of Sa(m)pling Drive, Students will take the initiative to distribute saplings using sampling methods.
Free distribution of Eco friendly Clay Ganesha Idols drive was conducted along with the Green Club of the college as a part of Environment Activity.
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Guest lecture by Sri. Y. V. Rao garu, Market Research Officer, Textile Committee, Govt. of India, Ministry of textiles on 24th August 2023. Sir started with a brief introduction about different fabrics used in production of clothing. He next emphasized on different statistical methods used in Textile industry for conducting MTC(Market for Textile & Clothing ) survey, survey methodology, sampling design, data verification, data entry, cleaning and consistency, estimation procedure, data analysis and report generation with real life examples. He discussed about the importance of statistics in textile industry.
One Day Workshop on “Enthusiasm – A Super Power to Success” By Prof. M. L. Sai Kumar garu, Visiting Professor, on 3rd February 2024. Sir spoke about importance of time and even included the three key elements i.e., Belief, Vision, Gratitude. He stressed on the topic “Enthusiasm” by using many real life examples. He also conducted many activities and even students were participated actively. The Speaker emphasized on different pathways to reach our destination. He discussed about team work, determination and decision.
National Seminar on “Leadership & Discipline - a Progressive Pathway to Success” on 9th February 2024 organized by Department of Statistics, Department of Commerce & IQAC. Resource Persons: Dr. Anand Pillai M.D, Leadership Matters, Inc., New Delhi. & Prof. M. L. Saikumar (Retd.) Retired Dean at Institute of Public Enterprise & International Speaker emphasized on the importance of Leadership quality to achieve success in the life with real life examples. He also stressed on self motivation and how to acquire leadership skills. Discipline which is the basic principle of every human. He delivered his topic by using many real life examples. He also conducted many activities and even students participated actively.
Seminar titled “Roadmap to become a Data Scientist & Career opportunities” to commemorate the birth anniversary of Prof. P. C. Mahalanobis as National Statistics Day on 29th June 2024. Resource Person Mr. Venkata Ikkurthy Manager, Clinical Data Integration, Bayer Pharma, USA discussed about how to become a data scientist. His session was more interactive, rather than only subject oriented. He explained what courses or programs have to be learnt so as to master in data science. He even showed various career opportunities that can be persuade once the graduation is completed. Sir has shown live demonstration on how to use SAS programming.
Dr. T. Sameer Nandan, DNB/MD Family Medicine, General Physician & Diabetologist, SSS Institute of Higher Medical Sciences, Puttaparti presented a seminar on 16/05/2022, titled as “Well Being of Women”. Speaker emphasized on the health of women as they are the pillars behind a successful society. A healthy society is built by a healthy and independent women. He discussed the importance of well being of women and explained tips to improve ones health.
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V. Vishwa Mohan, M.A., MLISc., Ph.D.Retired Professor(OU) presented a webinar on 30th Sep 2021, titled as “Formulation of Hypothesis”. Speaker emphasized on the importance of knowing the objective of experiment to frame a better hypothesis. He explained about different types of Hypothesis taking real life examples.
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L.N. Yashaswy. A,Doctoral Candidate in Marketing, IIM Ahmedabad presented a webinar on 17th July 2021, titled as “Overview of R-Programming”. The speaker emphasized on the importance and applications of R programming language. He explained the basics of coding in R programming by considering different examples. He also stressed on the syntaxes and rules of using R programming. He also explained the procedures of importing the documents and explained how to save the programs after getting the output. Difference between R programming & Python was also discussed.
Dr.RameshAthe,Assistant Professor,IIIT Dharwad, Karnataka,Department of Data Science and Intelligence Systems presented a webinar on 18th Sep 2021 titled as “Introduction to Systematic Review and Meta-Analysis”. The speaker emphasized on the applications of statistics in Meta-Analysis and discussed real life examples. He also explained the importance of doing research and emphasized on paper publications. He gave few tips for choosing the objective of study and showed the procedure of navigating through PubMed applications.
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Dr. U. V. Somayajulu, Co-Founder, CEO, Sigma Research and consulting Pvt Limited, New Delhi presented a webinar on 10th Sep 2020, titled as “ SIGNIFICANCE OF STATISTICS IN POPULATION HEALTH RESEARCH”. The speaker emphasized on the importance of statistics in Health domain. He explained different concepts like problem formulation, sampling frame, pilot survey, population, sampling techniques, data preprocessing tools etc. with relevant examples.
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Dr. DebarshiDey, Associate Director,MorphosysAG, Munich,Germany presented a webinar on 29thJune 2020, titled as “How to Become Effective Statisticians”. The speaker emphasized on the applications of statistics in Pharmacuetical Industry and gave few tips to become an effective statistician. He also discussed real examples and explained the statistical tools to be applied in pharmaceutical field. He also encouraged students to become data analysts.
Prof.A.Dhandapani, Professor and Principal scientist at ICAR-NAARM presented a webinar on 27th May 2020, titled as “ National Webinar on Statistics & Agriculture”. Speaker emphasized on the real life applications of Statistics in the field of agriculture. Sir shared a different perspective of statistics and discussed different examples in Agriculture and Design of Experiments using Statistics. He also explained different statistical tools used in the analysis of Designs of Experiment and Agriculture.
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SVSRK BHARADWAJ, Senior Manager - Operations, Sigma Research and Consulting New Delhi, India organized a two day Workshop on 28/12/2019 & 29/12/2019, titled as “ Skill Development Program on Survey Data Analysis Using SPSS”. The speaker emphasized on various methods used in SPSS. The speaker gave a brief idea on skill development, research design, selection of a sample, data collection, selection of respondent’s etc. Many real life examples were also given for easy understanding of the students.
Dr. D. Lalitha Devi, Head, Associate Professor,Department of Statistics,KGCW presented a seminar on 25/10/2018, titled as “ Steps involved in Quantitative Research”. The speaker emphasized on various methods used in quantitative research. The speaker gave a brief idea on hypothesis, research design, selection of a research site, data collection, selection of respondent’s etc. Many real life examples were also given for easy understanding of the students.
Ms. K. Sangeetha , Assistant Professor, departmet of statistics , KGCW presented a seminar on 20 September 2017, titled as “ Sampling Designs and Method of Data Collection”. The Speaker Emphasized on various designs of samples and collection of data by using statistics techniques. The speaker explained real life applications with suitable examples.
The Department signed an MoU with “Sigma India.org – an Analytics Company” to facilitate students for Internships and skill based training programs / workshops on the recent updates in the field of statistics.
Advanced learners are encouraged for Internships to work with real time data for practical application of the subject.
Seminars / Workshops / Skill based training programs are conducted for the benefit of the students to create a platform for understanding the recent changes in the subject.
On the occasion of National Statistics Day 2023 students participated in Quiz and Elocution competitions organised by NSSO and won prizes
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On the occasion of Women's Day Celebrations 2023, the students of Statistics Dept. have attended a seminar on “ Data Science and Its Prospectus” held at Indian Statistical Institute, Hubsiguda, Hyderabad.
On the occasion of National Statistic Day Celebrations 2022, The Department of Statistics released a customized calendar and e-newsletter (Sankhya Samachar).
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On the occasion of National Statistic Day Celebrations 2022, the students of Dept. Of statistics participated in quiz competition and essay writing competitions conducted by NSSO. Students got to know about National sample survey office and its functions, also had discussion with NSSO chief.
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On the occasion of National Statistic Day Celebrations 2021, the students of Dept. of statistics performed a skit on the Importance of Statistics and conducted a Quiz on the topic of “Real life Applications of Statistics”
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CO1: The basic concepts of real analysis required for understanding the Mathematical Statistics.
CO2: To know the applications of Limits,Continuity,Convergences etc in Statistics.
CO3: To understand the concept of RS-Integration,Sequences & Series of Functions in Statistics.
CO1: To find the solution to the given set of equations.
CO2: To transform the given matrix into another form without changing its characteristics.
CO3: Usage of matrices for the real time applications.
CO4: To express the set of equations in a GLM form to find the estimation of parameters.
CO1: To find the probability based on the conditiond that are specified.
CO2: To obtain distribution function of random variable based on its probability function and vice-versa.
CO3: To obtain the probability bounds or moment bounds for the given random variables.
CO4: To study convergence properties of the sequence random variables based on its probability laws.
CO1: To derive any property for any distribution that is specified.
CO2: To obtain sampling distribution to the given Statistic.
CO3: To derive the point estimator for the given parameter in the distribution function.
CO4: To derive the properties like Consistency, Unbiasedness, Efficiency, Sufficiency, MVB, Completeness etc, for the estimator.
CO1: Concepts of Hypothesis, MP and UMP tests, Neymann Pearson Lemma and its applications
CO2: Concepts of Unbiased and Consistent Tests, Relationship between Confidence Intervals and Hypothesis testing
CO3: : Learning various concepts of Non parametric estimation like Run Test, Kolmogorov Smirnov test,Kendall’s Tau , Ansari- Bradley,Kruskal-Wallis tests etc with applications
CO4: A brief intuition of Sequential Probability Ratio Test with applications
CO1: Understand different sampling methods, drawing samples using Cumulative Total and Lahiri’s method
CO2: concepts of Ratio method estimation and Regression method of Estimation
CO3: : Learning Cluster sampling and Sub Sampling and applications on data
CO4: Concepts of Planning of Sample Surveys and Non Sampling Errors
CO1: Understand the concepts of Multinomial and Multivariate Normal distributions
CO2: Concepts of Wish art Distribution,Wilk’s λ Hoteling’s T 2 and applications
CO3: : Concepts of Discriminant and Path analysis with examples and applications
CO4: Deep intuition of Principal Component Analysis, Factor Analysis, Cluster analysis in a practical approach
CO1: Understanding ANCOVA and analysis of factorial experiments and Multiple comparison Tests
CO2: Learning Confounding concepts with applications for factorial experiments
CO3: : Analysis of BIBD, PBIBD, Lattice Design and Youden Square Design
CO4: Concepts of Response Surface Methodologies and Central Composite Designs
CO1: Basics of OR and concepts of Sensitivity Analysis and solving problems on them
CO2: Introduction to Queuing Theory and concepts of various Queuing models, sequencing problems
CO3: : Various models of Inventory Management and PERT CPM Network Problems
CO4: Solving various problems Integer Programming and Stochastic programming Problem
CO1: Understand various concepts of Regression situations, Residuals and Outliers
CO2: Practice of choosing best regression equation in various methods and concepts of Ridge and Robust Regression
CO3: Learning of Logistic regression model in a deep manner along with interpretation
CO4: Non Linear regression models and Nonlinear Growth Models
CO1: Introduction Statistical Pattern Recognition, Linear Classifiers, Linear Discriminant Function and Statistical Decision Theory
CO2: An Intuition to various algorithms for classifier NN algorithm & Bayes classifier
CO3: Hidden Markov Model, Perceptron Model, Support Vector Machines Ensembling
CO4: Various Feature Selection & Extraction Techniques, an application for HandWritten Digit Recognition
CO1: Brief introduction to Reliability Theory
CO2: Reliability of independent component, bounds on system, reliability with examples
CO3: Life distribution and Notion of aging classes
CO4: Maintenance & Replacement policies & Reliability Estimation
CO1: Basic concepts of Process monitoring ,review of control charts for variable data and attributes and Control Gauging
CO2: Construction of Moving Average ,EWMA, CUSUM Charts and concept of Non parametric Control charts
CO3: Concepts of Single, Double ,Sequential ,ContinousSampling Plans
CO4: Introduction to Process Capability Analysis ,Multivariate Control charts , TQM and Six Sigma
CO1: Basic and intuitive introduction to Markov Chains
CO2: Emphasis on Renewal Process and Branching Process and their applications
CO3: Applications of Stochastic Process in Biological Sciences, Communication and Information Systems ,Traffic Flow Theory
CO4: Applications of Stochastic process in Social and Behavioural Sciences and Business management
CO1: Basics of Artificial Neural Networks .Understanding Artificial neuron models ,Neuron Activation functions ,ANN architecture and various ANN basic concepts
CO2: Perceptron Learning algorithm and Applications and other learning algorithms
CO3: Core concepts of Radial Basis Functions and Self Organising Maps
CO4: Learning rules of Boltzmann Machine ,Hopfield ,Sigmoid belief and Stochastic machines and Applications of ANN in Classification ,Clustering, Regression and Time series
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