Data Science Course in Chennai

Data Science Course in Chennai

Data science course in Chennai is in search on large basis. FITA being a prominent provider of IT courses and training in Chennai has been Data science training in Chennai.

Why is data science important?

Data Science Course in ChennaiData has to be analyzed and studied in any sector or field. The importance of data is widely understood. It is the key to growth in any organization. When it comes to larger companies there is a large amount of data to be analyzed. Data science involves automated methods to analyze and understand massive amounts of data. The demand for data science and data analytics has seen a huge rise in the market. The data from mobile sensors and sophisticated storage devices have to be analyzed. A data scientist should be able to coordinate the varied levels of data and analyze it.

Why choose FITA Data Science course in Chennai?

The rise in the scope of data science and data analytics has given rise to the demand for data science and Data Analytics courses in Chennai. Data science and data analytics courses are available in Chennai at various institutes. But what matters is the productivity or the results out of these data analytics and data science training courses, which many institutes and data training centers lack. FITA has the best data science and data analytics course content to offer with expert training faculty who has industry experience for many years. There are a lot of segments in data science and data analytics like Big data and analytics which we give utmost importance. This will ultimately prove beneficial to the students.

Data Science with R Programming SYLLABUS

Introduction
What are Data Analysis, Data Analytics and Data Science?
Business Decisions
Case study of Walmart

Various analytics tools

Descriptive
Predictive
Web Analytics
Google Analytics

Fundamentals of R

R and features
Evolution of R?
Bigdata Hadoop and R

Working with R & RStudio

R & RStudio Installation

Data Types

Scalar
Vectors
Matrix
List
Data frames
Factors
Handling date in R
Conversion of data types
Operators in R

Importing Data

JSON files
CSV files
Database data (Oracle 11g)
XML files
Reading & Writing PDF files
Reading & Writing JPEG files
Saving Data in R

Manipulating Data

Sorting
Cbind, Rbind
Aggregating
Dplyr

Conditional Statements

For loop
If …else
While loop
Repeat loop

Functions

tApply ()
Apply ()
sApply ()
rApply ()

Statistical Concepts

Descriptive Statistics
Inferential Statistics
Central Tendency (Mean,Mode,Median)
Hypothesis Testing
Probability
tTest
zTest
Chi Square test
tTest
Correlation
Covariance
Anova

Predictive Modelling

Linear Regression
Normal Distribution
Density

Data Visualization in R using GGPlot

Box Plot
Histograms
Scatter Plotter
Line chart
Bar Chart
Heat maps

Data Visualization using Plotly

3D-view
Geo Maps

Misc. functions

Null Handling
Merge
Grep
Scan

Advance Topics in R

Text Mining
Exploratory Data Analysis
Machine Learning with R (concept)

Data Science with R

Algorithms
Classifications
Clustering
Supervised learning
Unsupervised learning
Bayesian
Boosting
K-means
Nearest Neighbours (KNN)
Page Rank
Support Vector Machines
Random forest

What you gain at FITA?

We train our students in technologies like Python that is in high ranking and demand in the IT market. We teach our students to visualize data with techniques like pie charts, bar graphs; line charts etc which better understanding of the data they analyze. We also make sure that our teaching experts bring to the students direct industry examples of data science and data analytics to give them practical knowledge. There is a wide range of opportunities for trained and certified data scientists who are skilled in coordinating the data of various levels of an organization. We give in-depth data analytics training to our students so that they are capable of understanding and analyzing data from multiple sources.

We are ranked as the best institute to offer Big Data Analytics courses in Chennai. Our course content proves to be the best content for Data Analyst course in Chennai. We give vital information to our students on the data trends, advancements, and opportunities for data science in Chennai. When you are choosing a place to attain career growth make sure you choose the best place. Our data science certification will give you international acknowledgment along with proven standards.

If you want to get the best institute for Data Science Training in Chennai, you should choose FITA, to not have any regrets and gain the best value for your career.

Future of Data Science

The growth in data leads to the big volume of data which preside over the online channels. The proper use of data with a formal analysis is essential to take the major decisions in the business. It is believed that the job of analysis can be integrated with the machine learning to render good results with less income. The resource management in case of data scientist jobs are managed with the automation tasks as simple tasks can be automated. Complex tasks cannot be automated. Let us see the impact of data science in the arena of automation, IOT, social media and machine learning. Join the Data Science Course in Chennai with FITA to have a blissful future.

Automation

Automation simplifies the job of data science professionals. Processing a big volume of data for the purpose of the analysis is not possible for the day to day tasks. The natural language processing aids for the training of the computers to process the language or data. Apply the analytics with the help of the automation system. Watson is the tool for the analytics invented by IBM. The need for the data scientist will be eliminated with the help of the automation integrated analytics tools. The automated machine learning systems used with the e-commerce websites, LinkedIn networking and Facebook render better results. Automation and data science are used together to get better results in the analysis domain. Data Science Training in Chennai is designed for the people with statistics background and interested in making analysis to arrive at the decisions.

IOT is the data source

IOT is the best source to get the information required to apply data science. Globally there are 7 billion devices connected now and it is expected to increase by 21.5 within 7 years of the period. As the hardware devices are produced with high power the data they deliver will also differ. The data from the airline, auto industries are the largest producers of the data from the IOT devices. The richness in the data is expected with the IOT devices. Join the Big Data Training in Chennai to gain high salary and potential growth in the management of the big projects.

Social media

The second biggest source for the generation of data is social media. The likes and comments with the Facebook skyrocket the data needed to arrive at a decision in the business scenario. All these data are needed into the machines to arrive at a decision. So the data models are trained with the machine learning algorithms. The sources of data raise the need for machine learning algorithms. Data Science Certification in Chennai is the gateway to get abroad opportunities.

Deep learning

The algorithms used for the deep learning in the machine learning accept lots of data with the help of the input nodes. Deep learning algorithms are compared to the human brains and also named as the neural networks. AlphaGo is the game which is trained for the computers to learn. It is complex than the Chess game. The deep mind company started the research project to train the computers for games and ended up with advancement in the machine learning algorithms. It is the power of machine learning algorithm which can create pictures, design videos and influence the data science industry. Join the Big Data Analytics Courses in Chennai to know about the different uses of the data analysis.

Docker is the tool used for the data science

Docker is used to deploying the machine algorithms and run on the cloud environment. Usage of docker which is a virtualizing tool makes the data science as a potential tool to render better results.

At FITA, the comprehensive training on Data Science course in Chennai creates experts in the field of data science. To handle the data science projects the companies should use digital processes, do research with the cloud infrastructure for the better results, use the appropriate machine learning algorithms to train the machines for the analysis, use automation, apply agile and create an efficient data science unit to process the data science projects.

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Data Science Interview Questions

What do you infer from logistic regression?

This is nothing but just a technique deployed for the prediction of binary outcome from any linear combination for the predictor variables. Thus, join our Data Science Training in Chennai.

Define Selection Bias.

This is a type of error, which occurs during the decision process. It is also known as Selection effect. Hence, join our Data Science Certification in Chennai.

The various kind of selection bias consist of:

Sampling bias- This occurs due to samples present in a population that are non-random.

Time interval- The termination of trial occurs in an early stage for an extreme value.

Data- When particular data subsets are selected for the supporting of conclusion over arbitrary grounds.

Attrition- It is also a type of selection bias that is caused due to attrition.

How is data cleaning important in analysis?

For every data analysis process, cleansing is very important and this may consume a lot of time. In addition, data accumulated from various sources in order to convert the whole thing into a specific format, which can be processed by the data scientists. Data Science Training in Chennai is gaining importance in the recent days.

What do you infer from Normal distribution?

Distribution of data is always done in various manner along with partiality from left or right and it can also be jumbled up. Moreover, chance of data distribution about central value irrespective of its reach that may occur in form of bell curve. The variables are distributed in a random manner over this curve.

Characteristics of normal distribution are:

  • Unimodal
  • Bell
  • Symmetrical
  • Asymptotic
  • Mean, median and mode

Differentiate between Systematic and Cluster sampling.

Cluster is deployed during the spread of target over a wide area and application of simple random sampling cannot be done whereas the former one is statistical technique in which the elements selection is based on ordered sampling frame.

Point out the difference between underfitting and overfitting.

Both of these terms are famous in machine learning and statistics in order to make certain predictions that are reliable in nature. When we consider overfitting, the statistical model characterizes noise or error rather than underlying relationship. Its usage is visualized when there is a presence of complex model that comprises of many parameters related to count of observations.

When any model is considered to be overfit its productivity is poor due to its over reaction to the minor fluctuations. The Underfitting process occurs when any statistical model is unable to grasp the fundamental trend of data.

How is Supervised leaning different from unsupervised learning?

Supervised data s is nothing

When any algorithm acquire information from training data that is applied for the testing data known as Supervised Learning. The example that can be quoted for supervised learning is classification. For unsupervised learning there is no prior learning of algorithm and clustering can be seen as the best example for this.

What is the difference between univariate, multivariate and bivariate analysis.

Univariate are considered to be explanatory statistical analysis methodology, which can be set apart on the count of variables that are included at the point of time.

Multivariate deals with acquiring knowledge of multiple variables in order to understand the aftermath of the presence of variables over the responses.

Bivariate analysis tries to accept difference between the available two variables at the point of time.

What do you mean by box cox transformation in the regression model?

The response variable involved in regression analysis may not satisfy numerous assumptions of any ordinary square regression. A transformation of box cox is considered to  be statistical technique in order to change the non-mornla variables to a normal shape. When the data is abnormal then almost all the techniques of statistics will be normal.

What do you infer from Eigen vectors and Eigen values?

The Eigen vectors are widely used for the understanding of linear transformation. The user actually calculates Eigen vectors for covariance matrix during the data analysis. They are considered to be the directions for a specific linear transformation by the act of flipping, stretching or compressing.

Eigen value is known as strength for the change in direction of Eigenvector.

Data Science Job Openings

Job Title: Data Scientist

Responsibility: The candidate should have 3 to 4 years of experience in Data science, foster a client centric culture, work in a cohesive team environment, analyze the best practices and establish specific solutions.

Job Description: The candidate should have experience in handling live project, Master’s degree in Math’s, statistics, applied math’s or machine learning is mandatory, handle the real time analysis and preparing the reports, experience with open source technologies is a must, should have excellent communication skills to lead a team of professionals.

Company Name: R Systems International Ltd.

Location: Noida

Contact Details: Sarita.Sandhu@rsystems.com

Date of Interview: send the resume to the contact email id and get the interview schedule from the company.

Data Science Sample Resumes

Data Science Industry Updates

Data Science is considered to be one of the most difficult at the same time informative sector. It is a cluster of many topics such as Internet of Things, Deep Learning, Artificial Intelligence and many more. As this will be used in every other sector for their development. If you are choosing this sector as your career then it is indeed necessary to be updated on the overall data science as this is what is your work will be related to.

Data plays a very crucial role in every point of our lives. Initiated during our schooling we used to gather a lot of information from our surrounding which in turn is implemented in the later stage of our life. Thus, data can only be acquired and cannot be destroyed similar to matter. In addition, this can be modified as per our requirement.

Data Science Training in Chennai will be of great scope for you if you are good at acquiring data from various sources. Our brain is the best natural system that gathers a lot of information throughout our lifetime. Moreover, it is very few of us who are able to retain at least 20% of the acquired knowledge in our life. And if you ate one among the above mentioned person, then this sector will definitely be sturdy for you.

So, it will be better if you prepare well in advance as nothing is impossible to attain in this world. Data Science might be a bit tiresome at the beginning but if you get the appropriate training regarding this, it will turn out to be the most interesting job. In other words, job will take turns as passion.

Internet is filled with massive blogs and articles related to Data Science and it will definitely be helpful for beginners who are planning to take up this as career. These days the count of readers has increased tremendously due to the reach of education to a wider set of people but it is not necessary for all of them to be eager to feed their brains with useful data. But if you do it in an orderly manner then this will be profitable for you with respect to your career.

For every course we choose, interest is something that has to be more important. As interest is the driving force that will automatically end-up into a perfect career. Thus, visit our Data Science Training Institute in Chennai for in-depth knowledge in this sector.

This plays a very crucial role in the Business development of many organizations worldwide. Thus, being a part of it at this point of time will be really an excellent decision.

As a Data Scientist you must be able to be precise in choosing where you read from as it is one of the most ifrequently demanded question in any interview. At this point your words are to be taken care as they may flip your career either way. Thus, some of the top publications related to Data Science are named below for your convenience:

  • Data Elixir
  • Data Science Weekly
  • The Analytics Dispatch
  • Analytics Vidhya
  • O’Reilly Data Newsletter

It might be quite boring initially gradually, your interest to read this and get updates will keep on proliferating. The above-mentioned magazines will be feeding both your brain and heart. For further information related to this technique, join our Data Science Certification in Chennai.

The combination of Artificial Intelligence and Data Science is responsible for the revolution in the utilities sector. When the conversion of energy from fossil fuels into renewable energy happened it wasn’t an easy task to be accomplished without he deployed of Data Scientist who have the in-depth knowledge of the availability of natural resources and the percentage that can be used for every specific operation.

It is also deployed into the waste management that is the biggest issue for every organization. Thus, Data Science plays a typical savior role in this. As this might end up in drastic environmental issue due to the E-waste produced by the companies that cannot be reversible overall. Thus, enroll yourself into our Big Data Analytics Course in Chennai for a bright future.

Data Science is also used in getting to know the exact needs of customers in order to make their business flourish. For instance, if you search for any commodity in Amazon website and leave the page, you will be getting the promotional ad for the same commodity in Facebook. Thus, creating a sort of eagerness in the mind of customer to place the order. Thus, it acts as a part of marketing strategy in turn making the product reach to a wider audience.

2019 predictions

The year of 2019 has to come up with lots of changes and updates in every field and is same for Data Science. It is expected to witness the merging up of physical and virtual world with respect to business. Hence, the anticipation is very huge. Both semi and automated tools are suspected to dish-out more analytics when compared with data scientists who are human in nature.

The deployment of augmented analytics will improvise the extraction of insights, preparation of data along with delivering of the predictive intelligence. Our trainers are knowledgeable person who will make you a professional in this Data Science Course in Chennai.

The deployment of regulatory schemes is considered to happen over a large scale, as it is highly impossible task to maintain all the data generated in such a fast pacing world. Thus Data Science will be playing a important role with respect to General Data Protection Regulation that was enforced in order to constraint some boundary for the data retention during last year. In addition, the enormous growth in the presence of well-cultured cyber-attacks have led to the proclamation of declined vulnerability in data. Thus, the emergence of numerous protocols in order to secure the data has to be emerged this year.

Next comes the most important technology that is evolving at the same time revolutionizing the whole world in a simultaneous manner. The more the evolution happens in the technical world, the more is the updates related to Artificial Intelligence. The development of highly intelligent apps are considered to come into to up come in the near future with the help of Machine learning, artificial intelligence, and many more.

The development of Automated Machine Learning (ML) will be helpful in the transformation of data science along with a better data management. It is expected that services and applications will be dependent over AI in order to improvise the long-range experience.

The representation of physical objects in the Digital platform can be powered with the help of the Artificial Intelligence. Moreover, this can be deployed for solving real-time business along companies around the globe. This will accelerate the upcoming technologies that are advanced in nature. Both AR and VR have already geared up the process to an exotic level. It is also estimated that addition of Machine Learning along with network design will be of great for the applications to operate. Data Science Training in Chennai will be helpful for you to build your career.

As Internet is evolving, similarly Internet of Things is thriving into a wider range. With millions of sensors and devices fetching data for the analysis and altering of data. Edge computing is another updates related to Data Science which is considered to be on its rise in order to preserve proximity to source of the data. Its blend along with Cloud technology will hand over correlated structure, which pretends the example of available model based on service-orientation. Substantially, a report produced by IDC, suspects the evolving cloud pricing models to be service specific along with being analytics workloads, which contributes 5 times the growth on cloud over on-premises analytics.

The next turn is of Blockchain, which is great at handling cryptocurrency such as Bitcoin. This is considered to be immensely secured register that comprises of multiple applications. Its usage can be visible in the recording of enormous transactions in a detailed manner. Its reach is considered to be very far-away with respect to the security of data. Data Science Course in Chennai will be the right choice for you at this point of time.

Data Science Tutorial

List few assumptions related with linear regression.

The presumption regarding linear regression are mentioned below:

  • The relationship that persists amidst dependent variables and regressors is considered to fit the data that has been actually created by the user.
  • The distribution of error happens to be normal along with being independent.
  • The multiple correlation is very minimum amidst the variables.
  • Variance all around regression line is identical for every predictor variable.

What do you infer from exploding gradients?

They are a sort of error gradients that are accumulated and the result is to be huge updates for the neural network. There are chance of the weights going up during the process of training. Thus, resulting in NaN values.

Gradient- It is nothing but the magnitude and direction measured during the training of neural network, which is deployed for the updating purpose in network.

What do you infer from SVM machine learning algorithm?

SVM is nothing but support vector machine, which can be deployed for Classification and Regression. SVM attempts to plan in n-dimension with value of every single feature that has specific coordinate. This also makes use of hyper planes in order to separate various classes on the basis of kernel function.

How will be statistics used by Data scientists?

Its main usage will be seen in the patterns, conversion of Big data to Big insights. This also aids the data scientists to develop excellent ideas that is expected by the customers. It is easier for them to analyse the interest, consumer behavior, engagement, retention along with the perspective statistics. This also aids the building up of data models for the validation of certain interferences. Every aspect is possible to be converted to any business proposition.

What do you mean by Random Forest? And explain its working? 

It is flexible method deployed in machine learning in order to perform classification and regression tasks. It is used in dimentionality reduction, outlier values, and treats missing values. This is considered to be a kind of ensemble in which combination of weak models in order to create powerful model.

It is possible to grow several trees that are opposed to any single tree for the classification of new object that are based on attributes. Data Science course in Chennai will be helpful in building up your career.

List some of the real time scenarios associated with Machine Learning.

Search engine– Personal preference are given more importance while ranking of any page.

Robotics– Machine learning is deployed for managing scenarios that are considered to be extra-ordinary.

Extraction of information- used for the framing of question in order to get answers from database.

Finance– This aids in the evaluation of investment risks along with detection of fraudulent transactions.

Medicare– It is deployed in designing of drugs as per the patient’s history.

Social media- This is used for learning the overall recommendation along with the relationship connections.

Ecommerce– Getting the churn of customer along with its usage in the targeted advertising.

What do you mean by Extrapolation and Interpolation?

Both of these terms are considered very important in the statistical analysis. Extrapolation is the term given to the determination that is given to any known set of facts or values by extending to any area that is unknown.

Interpolation is something used for the determination of specific value that lies amidst fixed values that is useful when there is two extremities of specific region. Thus, enroll yourself into our Data Science Training in Chennai.

Differentiate between Data modelling and Database design.

Data modelling is the initial step approaching for the design of database. This helps in the creation of conceptual model that is based on connection amidst different data models. It consists of the transition of conceptual stage to logical model.

Database design is deployed for the plotting of database that aids in the creation of output that is precise data model. This consist of physical design choices along with storage parameters. Get in-depth knowledge over this by joining our Data Science Certification in Chennai.

What do you mean by Binomial Probability formula?

It consists of possibilities of every number of success after N trials for the events that are independent in nature and also having probability ‘pi’.

List few assumptions related with linear regression.

The presumption regarding linear regression are mentioned below:

  • The relationship that persists amidst dependent variables and regressors is considered to fit the data that has been actually created by the user.
  • The distribution of error happens to be normal along with being independent.
  • The multiple correlation is very minimum amidst the variables.
  • Variance all around regression line is identical for every predictor variable.

What do you infer from exploding gradients?

They are a sort of error gradients that are accumulated and the result is to be huge updates for the neural network. There are chance of the weights going up during the process of training. Thus, resulting in NaN values.

Gradient- It is nothing but the magnitude and direction measured during the training of neural network, which is deployed for the updating purpose in network.

What do you infer from SVM machine learning algorithm?

SVM is nothing but support vector machine, which can be deployed for Classification and Regression. SVM attempts to plan in n-dimension with value of every single feature that has specific coordinate. This also makes use of hyper planes in order to separate various classes on the basis of kernel function.

How will be statistics used by Data scientists?

Its main usage will be seen in the patterns, conversion of Big data to Big insights. This also aids the data scientists to develop excellent ideas that is expected by the customers. It is easier for them to analyse the interest, consumer behavior, engagement, retention along with the perspective statistics. This also aids the building up of data models for the validation of certain interferences. Every aspect is possible to be converted to any business proposition.

What do you mean by Random Forest? And explain its working? 

It is flexible method deployed in machine learning in order to perform classification and regression tasks. It is used in dimentionality reduction, outlier values, and treats missing values. This is considered to be a kind of ensemble in which combination of weak models in order to create powerful model.

It is possible to grow several trees that are opposed to any single tree for the classification of new object that are based on attributes. Data Science course in Chennai will be helpful in building up your career.

List some of the real time scenarios associated with Machine Learning.

Search engine– Personal preference are given more importance while ranking of any page.

Robotics– Machine learning is deployed for managing scenarios that are considered to be extra-ordinary.

Extraction of information- used for the framing of question in order to get answers from database.

Finance– This aids in the evaluation of investment risks along with detection of fraudulent transactions.

Medicare– It is deployed in designing of drugs as per the patient’s history.

Social media- This is used for learning the overall recommendation along with the relationship connections.

Ecommerce– Getting the churn of customer along with its usage in the targeted advertising.

What do you mean by Extrapolation and Interpolation?

Both of these terms are considered very important in the statistical analysis. Extrapolation is the term given to the determination that is given to any known set of facts or values by extending to any area that is unknown.

Interpolation is something used for the determination of specific value that lies amidst fixed values that is useful when there is two extremities of specific region. Thus, enroll yourself into our Data Science Training in Chennai.

Differentiate between Data modelling and Database design.

Data modelling is the initial step approaching for the design of database. This helps in the creation of conceptual model that is based on connection amidst different data models. It consists of the transition of conceptual stage to logical model.

Database design is deployed for the plotting of database that aids in the creation of output that is precise data model. This consist of physical design choices along with storage parameters. Get in-depth knowledge over this by joining our Data Science Classes in Chennai.

What do you mean by Binomial Probability formula?

It consists of possibilities of every number of success after N trials for the events that are independent in nature and also having probability ‘pi’.

List some of the disadvantage of linear model.

The most important drawbacks of this model are:

  • Expectation of linearity errors.
  • Outcomes count cannot be calculated.
  • Overfitting problems is impossible to resolve.

How is it possible to collect along with analyzing the data related to usage of social media for the prediction of weather?

Now a day it is easy to collect data from the various social media such as Facebook, Twitter and also from Instagram. For instance, in Twitter there is a need for the creation of feature from every tweet such as tweeted date, retweets, number of favorites.

When partial data is given by the user in any search engine, how is it possible to predict the search?

It can be predicted by the previous frequencies of various word sequence, conditional probabilities can be constructed for the next sequences, which can be shown up. The order that consists of highest conditional probabilities is considered as the top. For the additional improvisation, the mentioned algorithm the user is able to add weight over the past series that appeared in the recent time.

How is it possible to deal with missing predictors?

It can be done by the removal of rows that consist of missing values. The missing values are random in nature and also do not lose much dataset. Have a great scope of opportunity with the experts guidance in Data Science Course in Chennai.

How do the user design people known by the user are featured over either Facebook o LinkedIn?

The first step is to find out the people who are strong but unconnected in the weighted connection. Along with defining the similarities between the two people about their strength of connection. It is possible to calculate similarities based on connection between the friends. Thus, get the specialized training by joining Data Science Training in Chennai.

How can you build any model for the prediction of March Madness bracket?

Each vector from two different team namely A and B make use are picked up, which is deployed as the input in order to predict in which A wins the training model. These models are trained with the help of the tournament data from the past. Moreover, this helps in predicting new tournament by the execution of trained model for every step of tournament.

Mention few issues that may occur during the process of distribution of test data that is necessarily different from the process of distribution of the raining data.

There may be less accuracy in the test during the high training accuracy. If the user is not aware of the required knowledge then representation of data will definitely become an issue. During any change in the distribution of Data, it is named as dataset shift.

What do you infer from Boosting along with its working?

This is an ensemble methodology for attempting in the creation of strong classifier with the help of numerous weak classifiers.

  • The performance of every tree is used for the weighing how much attention is to be given to every next tree that is built-up.
  • Every model is created in a follow-up manner, further updating weights.

What are all the pre-processing steps that are highly recommended?

List the pre-processing stages which are recommended.

  • Missing value treatments
  • Outlier Analysis
  • Feature engineering
  • Structural Analysis

List some of the backend process that are available in Keras.

  • TensorFlow
  • Theano
  • CNTK

What do you mean by LOGIT function?

This is nothing but Log of ODDS ratio, which can also be known as Probability of success that is divided by the Probability of failure.

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