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Data Science Training Course in Kerala

5 591 Ratings 10,847 Learners

This Data Science course in Kerala provides you with a clear-cut understanding of the key concepts of Data Science, including data manipulation, data visualization, R programming, statistics, Machine Learning algorithms, etc. Our SMEs will train you and aid you to become a certified Data Scientist. In this Data Science training program, you will get 24/7 support for your queries and job assistance after course completion.

In collaboration with IBM
Free MS Excel Self-paced Course

Key Features

42 Hrs Instructor-led Training
28 Hrs Self-paced Videos
56 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Certification and Job Assistance

Career Transitions

Mahesh Chowdary
Mahesh Chowdary
Aircraft Maintenance Engineer intellipaat-image
Data Scientist intellipaat-image
Jeanette Masso
Jeanette Masso
Computer Technical Specialist intellipaat-image
Big Data Developer intellipaat-image
Prosenjeet Saha
Prosenjeet Saha
Manager Analytics & Data Science intellipaat-image
Data Scientist intellipaat-image
Nishchay Agrawal
Nishchay Agrawal
Fresher
Data Engineer intellipaat-image
Sahas Barangale
Sahas Barangale
Microsoft Dynamics Consultant intellipaat-image
Program Manager intellipaat-image
Bhawna Kaliraman
Bhawna Kaliraman
Lecturer intellipaat-image
Data Science Intern intellipaat-image

Course Benefits

5/5 Student Satisfaction Rating
Students Transitioned for Higher Positions
Started a New Career After Completing Our Courses
Got Better Salary Hike and Promotion
Average Salary Per Year $ 16983
Associate Data Scientist
Data Scientist
Chief Data Scientist
$ 12053 Starting
$ 16983 Median
$ 50651 Experienced
Companies Hiring Data Scientist Professionals
intellipaat-image intellipaat-image
intellipaat-image intellipaat-image
And 1,000+ Global Companies

Data Science Training Course in Kerala Overview

Our best Data Science training in Kerala assists you to gain mastery in all the core concepts of Data Science, such as data visualization, Machine Learning, statistics, R programming, data analysis, logistic regression, decision trees, unsupervised learning, Big Data Hadoop, random forest, etc., that are required to clear the certification exam.

What Data Science skills will you learn from this Data Scientist training in Kerala, India?

Experts at Intellipaat will assist you to be proficient in the following concepts:

  • Data Science and its life cycle
  • Introduction to R programming
  • ML algorithms
  • The techniques of data visualization and data manipulation
  • Statistics and data analysis
  • Introduction to logistic regression and decision trees
  • Clustering and its use cases
  • Hierarchical clustering and implementing it in R
  • Overview of Artificial Intelligence

This certification course is helpful for the following professionals:

  • Architects
  • Big Data Professionals
  • BI Professionals
  • Business Analysts
  • Aspiring graduates aiming to learn Data Science

Professionals and graduates who have the interest to learn Data Science can benefit from this online training offered in Kerala.

  • The Data Science job market is continually growing across the world – Forbes
  • This city has around 50 vacant positions for professionals, having Data Science skills – LinkedIn
  • An entry-level Data Scientist can earn an average salary of ₹300,000 p.a. in Kerala – Indeed

We follow a meticulous certification process. To become a certified Data Scientist, you must meet the following criteria:

  • Upon the successful completion of the online instructor-led course, along with all projects, with a minimum score of 60 percent in the quiz conducted by Intellipaat, you’ll be eligible to gain the Data Science certification from us.
  • If you take up our self-paced course, then the certification will be awarded to you after you complete all the course videos on LMS and clear the quiz conducted by Intellipaat with a minimum score of 60 percent.
  • Data Analysts perform a complete analysis of business requirements and activities.
  • Business Analysts analyze historical data and deliver data-driven recommendations.
  • Data Scientists’ main role is to discover insights from structured and unstructured data.
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With data collection, ’the sooner the better’ is the best answer. - CEO of Yahoo
Everything is going to be connected with data and mediated by softwares. - CEO of Microsoft
The world is now awash in data and we can see consumers in a lot cleaner way. - Co-founder PayPal

Skills Covered

  • R Programming
  • Exploratory Data Analysis
  • Data Manipulation
  • Data Visualization
  • Statistics 
  • Machine Learning Algorithms
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Fees

Self Paced Training

  • 28 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$264

Online Classroom preferred

  • Everything in self-paced, plus
  • 42 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 07 Mar
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 09 Mar
  • TUE - FRI
  • 07:00 AM TO 09:00 AM IST (GMT +5:30)
  • 13 Mar
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 21 Mar
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$ 499 $399 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise-grade Learning Management System (LMS)
  • 24x7 Support
  • Strong Reporting

Data Science Course Content

Module 01 - Introduction to Data Science with R Preview

1.1 What is Data Science?
1.2 Significance of Data Science in today’s data-driven world, its applications of, , lifecycle, and its components
1.3 Introduction to R programming and RStudio

Hands-on Exercise:

1. Installation of RStudio
2. Implementing simple mathematical operations and logic using R operators, loops, if statements, and switch cases

Module 02 - Data Exploration

2.1 Introduction to data exploration
2.2 Importing and exporting data to/from external sources
2.3 What are data exploratory analysis and data importing?
2.4 DataFrames, working with them, accessing individual elements, vectors, factors, operators, in-built functions, conditional and looping statements, user-defined functions, and data types

Hands-on Exercise:

1. Accessing individual elements of customer churn data
2. Modifying and extracting results from the dataset using user-defined functions in R

3.1 Need for data manipulation
3.2 Introduction to the dplyr package
3.3 Selecting one or more columns with select(), filtering records on the basis of a condition with filter(), adding new columns with mutate(), sampling, and counting
3.4 Combining different functions with the pipe operator and implementing SQL-like operations with sqldf

Hands-on Exercise:

1. Implementing dplyr
2. Performing various operations for manipulating data and storing it

4.1 Introduction to visualization
4.2 Different types of graphs, the grammar of graphics, the ggplot2 package, categorical distribution with geom_bar(), numerical distribution with geom_hist(), building frequency polygons with geom_freqpoly(), and making a scatterplot with geom_pont()
4.3 Multivariate analysis with geom_boxplot
4.4 Univariate analysis with a barplot, a histogram and a density plot, and multivariate distribution
4.5 Creating barplots for categorical variables using geom_bar(), and adding themes with the theme() layer
4.6 Visualization with plotly, frequency plots with geom_freqpoly(), multivariate distribution with scatter plots and smooth lines, continuous distribution vs categorical distribution with box-plots, and sub grouping plots
4.7 Working with co-ordinates and themes to make graphs more presentable, understanding plotly and various plots, and visualization with ggvis
4.8 Geographic visualization with ggmap() and building web applications with shinyR

Hands-on Exercise:

1. Creating data visualization to understand the customer churn ratio using ggplot2 charts
2. Using plotly for importing and analyzing data
3. Visualizing tenure, monthly charges, total charges, and other individual columns using a scatter plot

5.1 Why do we need statistics?
5.2 Categories of statistics, statistical terminology, types of data, measures of central tendency, and measures of spread
5.3 Correlation and covariance, standardization and normalization, probability and the types, hypothesis testing, chi-square testing, ANOVA, normal distribution, and binary distribution

Hands-on Exercise:

1. Building a statistical analysis model that uses quantification, representations, and experimental data
2. Reviewing, analyzing, and drawing conclusions from the data

6.1 Introduction to Machine Learning
6.2 Introduction to linear regression, predictive modeling, simple linear regression vs multiple linear regression, concepts, formulas, assumptions, and residuals in Linear Regression, and building a simple linear model
6.3 Predicting results and finding the p-value and an introduction to logistic regression
6.4 Comparing linear regression with logistics regression and bivariate logistic regression with multivariate logistic regression
6.5 Confusion matrix the accuracy of a model, understanding the fit of the model, threshold evaluation with ROCR, and using qqnorm() and qqline()
6.6 Understanding the summary results with null hypothesis, F-statistic, and
building linear models with multiple independent variables

Hands-on Exercise:

1. Modeling the relationship within data using linear predictor functions
2. Implementing linear and logistics regression in R by building a model with ‘tenure’ as the dependent variable

7.1 Introduction to logistic regression
7.2 Logistic regression concepts, linear vs logistic regression, and math behind logistic regression
7.3 Detailed formulas, logit function and odds, bivariate logistic regression, and Poisson regression
7.4 Building a simple binomial model and predicting the result, making a confusion matrix for evaluating the accuracy, true positive rate, false positive rate, and threshold evaluation with ROCR
7.5 Finding out the right threshold by building the ROC plot, cross validation, multivariate logistic regression, and building logistic models with multiple independent variables
7.6 Real-life applications of logistic regression

Hands-on Exercise:

1. Implementing predictive analytics by describing data
2. Explaining the relationship between one dependent binary variable and one or more binary variables
3. Using glm() to build a model, with ‘Churn’ as the dependent variable

8.1 What is classification? Different classification techniques
8.2 Introduction to decision trees
8.3 Algorithm for decision tree induction and building a decision tree in R
8.4 Confusion matrix and regression trees vs classification trees
8.5 Introduction to bagging
8.6 Random forest and implementing it in R
8.7 What is Naive Bayes? Computing probabilities
8.8 Understanding the concepts of Impurity function, Entropy, Gini index, and Information gain for the right split of node
8.9 Overfitting, pruning, pre-pruning, post-pruning, and cost-complexity pruning, pruning a decision tree and predicting values, finding out the right number of trees, and evaluating performance metrics

Hands-on Exercise:

1. Implementing random forest for both regression and classification problems
2. Building a tree, pruning it using ‘churn’ as the dependent variable, and building a random forest with the right number of trees
3. Using ROCR for performance metrics

9.1 What is Clustering? Its use cases
9.2 what is k-means clustering? What is canopy clustering?
9.3 What is hierarchical clustering?
9.4 Introduction to unsupervised learning
9.5 Feature extraction, clustering algorithms, and the k-means clustering algorithm
9.6 Theoretical aspects of k-means, k-means process flow, k-means in R, implementing k-means, and finding out the right number of clusters using a scree plot
9.7 Dendograms, understanding hierarchical clustering, and implementing it in R
9.8 Explanation of Principal Component Analysis (PCA) in detail and implementing PCA in R

Hands-on Exercise:

1. Deploying unsupervised learning with R to achieve clustering and dimensionality reduction
2. K-means clustering for visualizing and interpreting results for the customer churn data

10.1 Introduction to association rule mining and MBA
10.2 Measures of association rule mining: Support, confidence, lift, and apriori algorithm, and implementing them in R
10.3 Introduction to recommendation engines
10.4 User-based collaborative filtering and item-based collaborative filtering, and implementing a recommendation engine in R
10.5 Recommendation engine use cases

Hands-on Exercise:

1. Deploying association analysis as a rule-based Machine Learning method
2. Identifying strong rules discovered in databases with measures based on interesting discoveries

Self-paced Course Content

11.1 Introducing Artificial Intelligence and Deep Learning
11.2 What is an artificial neural network? TensorFlow: The computational framework for building AI models
11.3 Fundamentals of building ANN using TensorFlow and working with TensorFlow in R

12.1 What is a time series? The techniques, applications, and components of time series
12.2 Moving average, smoothing techniques, and exponential smoothing
12.3 Univariate time series models and multivariate time series analysis
12.4 ARIMA model
12.5 Time series in R, sentiment analysis in R (Twitter sentiment analysis), and text analysis

Hands-on Exercise:

1. Analyzing time series data
2. Analyzing the sequence of measurements that follow a non-random order to identify the nature of phenomenon and forecast the future values in the series

13.1 Introduction to Support Vector Machine (SVM)
13.2 Data classification using SVM
13.3 SVM algorithms using separable and inseparable cases
13.4 Linear SVM for identifying margin hyperplane

14.1 What is the Bayes theorem?
14.2 What is Naïve Bayes Classifier?
14.3 Classification Workflow
14.4 How Naive Bayes classifier works and classifier building in Scikit-Learn
14.5 Building a probabilistic classification model using Naïve Bayes and the zero probability problem

15.1 Introduction to the concepts of text mining
15.2 Text mining use cases and understanding and manipulating the text with ‘tm’ and ‘stringR’
15.3 Text mining algorithms and the quantification of the text
15.4 TF-IDF and after TF-IDF

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42
Hours of Instructor-led Training
28
Hours of Self-paced Videos
7
Guided Projects to Practice
24/7
Lifetime Technical Support

Free Career Counselling

Data Science Projects Covered

Market Basket Analysis

This is an inventory management project where you will find the trends in the data that will help the company to increase sales. In this project, you will be implementing association rule mining, data extraction,Read More..

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Credit Card Fraud Detection

The project consists of data analysis for various parameters of banking dataset. You will be using a V7 predictor, V4 predictor for analysis, and data visualization for finding the probability of occurrence of fraudulent activities.

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Loan Approval Prediction

In this project, you will use the banking dataset for data analysis, data cleaning, data preprocessing, and data visualization. You will implement algorithms such as Principal Component Analysis and Naive Bayes after data analysis toRead More..

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Netflix Recommendation System

Implement exploratory data analysis, data manipulation, and visualization to understand and find the trends in the Netflix dataset. You will use various Machine Learning algorithms such as association rule mining, classification algorithms, and many moreRead More..

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Case Study 1: Introduction to R Programming

In this project, you need to work with several operators involved in R programming including relational operators, arithmetic operators, and logical operators for various organizational needs.

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Case Study 2: Solving Customer Churn Using Data Exploration

Use data exploration in order to understand what needs to be done to make reductions in customer churn. In this project, you will be required to extract individual columns, use loops to work on repetitiveRead More..

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Case Study 3: Creating Data Structures in R

Implement numerous data structures for numerous possible scenarios. This project requires you to create and use vectors. Further, you need to build and use metrics, utilize arrays for storing those metrics, and have knowledge ofRead More..

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Case Study 4: Implementing SVD in R

Utilize the dataset of MovieLens to analyze and understand single value decomposition and its use in R programming. Further, in this project, you must build custom recommended movie sets for all users, develop a collaborativeRead More..

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Case Study 5: Time Series Analysis

This project required you to perform TSA and understand ARIMA and its concepts with respect to a given scenario. Here, you will use the R programming language, ARIMA model, time series analysis, and data visualization.Read More..

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Data Science Certification in Kerala

What should I do to unlock Intellipaat’s certificate?

You can unlock Intellipaat’s certificate in three simple steps:

  1. Complete the Data Scientist training in Kerala, along with the given assignments
  2. Work on the industry-based projects and complete them successfully
  3. Pass the certification exam

The Data Scientist certification you receive from Intellipaat is valid for your entire lifetime and is recognized by top organizations across the world.

When you complete the Data Science course in Kerala successfully and clear the Data Science training certification exam conducted by Intellipaat, you will receive Intellipaat’s Data Science certificate via our Learning Management System. You can download the certificate or share it either through email or through LinkedIn.

Yes. The certification offered by Intellipaat is industry-recognized. Besides, due to our affiliation with IBM, you will also receive a Data Science course completion certificate from IBM.

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Data Scientist Course in Kerala Reviews

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Mr Yoga

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John Chioles

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Ritesh

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Dileep & Ajay

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Sagar

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Ashok

Vikrant Singh

Big Data Analytics

It was a wonderful experience learning Data Science in Kerala from Intellipaat. The trainers were hands-on and provided real-time scenarios. According to me, for learning cutting-edge technologies, Intellipaat is the right place.

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Kavita Mehra

Hadoop Developer at TCS

The classes from this best Data Science training institute in Kerala were highly interactive and also practical-oriented. The office staff was cordial. Every teaching session was recorded each day and was put online. The trainer was very patient and gave hints to solve all the questions posed to him.

Prasil das

SEO Specialist at Jain

Awesome response to queries! Thanking you for resolving all my issues and helping me learn tough concepts through highly insightful videos.

Ramyasri Mandepudi

Recruiter at Goodwill Technologies

My issues were resolved, thanks to the deep domain expertise of the trainer. I am greatly indebted to Intellipaat for assigning such knowledgeable and experienced trainers for this Data Scientist training course. It really makes a difference to the learner.

Kevin K Wada

Oracle Developer at Free Agent

Thank you very much for your top-class training. A special mention should be made about your patience in listening to my queries and giving me solutions, which was exactly what I was looking for. I am giving you a 10 on 10!

Bhanukumar Muppalla

Software Engineer at DXC Technology

These Data Science courses in Kerala included a lot of constituent components and provided the most comprehensive and in-depth learning experience. I really liked the real-world projects in Data Science, which helped me take on a Data Science role in a reputed company much easier.

Nitesh Kumar Dash

Professional

Intellipaat’s Data Science online training videos really made me excited about studying Data Science. They were so elaborate and so professionally created. I could learn Data Science from the comfort of my home, thanks to those learner-friendly videos. I am grateful to Intellipaat!

Giri Karnal

Professional

I had taken up the Data Science master’s program, which is a combo of SAS, R programming language, and Apache Mahout. Since there are so many technologies involved in this field, getting our query resolved at the right time becomes the most important aspect. But with Intellipaat, there was no such problem as all myRead More..

Shreyash Limbhetwala

Technical Delivery Lead

I want to talk about the rich LMS that Intellipaat’s Data Scientist course in Kerala offered. The extensive set of PPTs, PDFs, and other related material were of the highest quality, and due to this, my learning with Intellipaat was excellent. I could clear the Cloudera Data Scientist certification exam in the first attempt.

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Swetha Pandit

Big Data Developer at Accenture

Intellipaat’s Data Scientist courses online were well structured and taught by recognized professionals. They helped me learn Data Science fast. I have found their videos to be of excellent quality. Thanks a lot!

Varsha Tyagi

Cloud Architect at Huawei Technologies

I was searching for various programs of Data Science, and I landed on Intellipaat’s course page. It was really good in terms of content. The sample video provided was also awesome, which impressed me a lot while deciding to take up the one among various courses. Moreover, the trainer’s command over the technology was great.Read More..

Sudipto

PS Consultant at Genesys

Intellipaat’s Data Scientist training in Kerala is outstanding. The trainer is an experienced Data Scientist who has a good hold on the subject. Now, I’m an expert in Data Science, and I am already placed in a reputed firm.

Thejaswar Reddy

Programmer Analyst

I signed up for Intellipaat's Data Science course when I learned that it is a great place for learning new technologies. The training material offered by them was extremely useful. I opted for the weekend classes as per my convenience. The trainer of this course was really good and helped me learn the subject well.Read More..

Adarsh Vijay

Student at RTU

Excellent course for Data Science in Kerala. I found Intellipaat's training team to be talented in their respective domains. My training was very good as it helped me in upgrading my skills, which proved to be a turning point in my career. Intellipaat's mentor was well-experienced, and his teaching method was really great. This onlineRead More..

Sachin Bhatia

QA Engineer at NOKIA

Best Data Science course in Kerala, My decision to learn from Intellipaat was the best to upgrade my career. This course gave thorough understanding of the subject. I recently completed the course and experienced good quality teaching offered by Intellipaat.

Shailja Sehgal

Software Engineer

I had the best learning experience with Intellipaat’s Data Science institute in Kerala. The projects, assignments, and course content were awesome. I would like to enroll in other courses that are offered by Intellipaat.

Haris Naeem

Proven Data Analyst

Great course. I had a really good experience from this platform; they trained me well. I completed my training with this institute where they provided extremely good training and good support too. Further, the course instructors were really well-educated who explained all the topics with great enthusiasm.

Himanshu Oberoi

Associate R&D Manager at Stryker

Great teaching team. All trainers and support team were very helpful and easily reachable. The course content of this program covered all the topics, from basic to advanced modules.

Karthikeyan Ganesan

Extremely grateful to Intellipaat! The explanations of concepts and topics were simple and comprehensive. Moreover, the training material was relevant, up-to-date, and easily understandable. They have a great support team too.

Shamirna Micheal

Associate Professional Application Delivery at CSC

Genuine platform for learning. I finished my Data Science course recently from Intellipaat. The trainers were excellent in teaching. Further, the course was well-structured and the lectures are really flexible. I am currently working and I still get the time to complete the course within the given time and it is mainly possible because ofRead More..

Remona Yacoop

Teacher at VIBGYOR Group of Schools

Great training program. It was an amazing experience learning from Intellipaat. During this COVID-19, it was extremely fruitful to learn and spend ample amount of time as a part of this institute. Intellipaat has also provided great support during the course. Besides, the instructor was very supportive in the course, guidance was also given toRead More..

Afsana Zaman

Data Scientist

Great experience. The support team has always been supportive and efficient to help us. The collaboration of practical with theoretical knowledge makes Intellipaat highly suitable for those who wants to upgrade their career.

Data Science Training in Kerala FAQs

Why should I join the Data Scientist course in Kerala by Intellipaat?

Intellipaat provides extensive Data Science course in Kerala with placement for professionals and job seekers who aim to enhance their skills and pursue a career in this field. Here are a few reasons for choosing Intellipaat:

  • A personal tutor to monitor your progress
  • Engaging online instructor-led sessions conducted by industry professionals
  • Comprehensive LMS that allows you to view recorded sessions within 3 hours
  • Real-time projects, assignments, and case studies
  • Lifetime learning support from our experts
  • A large community of peer learners
  • Industry-recognized Intellipaat badge
  • Personalized job guidance

Intellipaat offers one of the best Data Science courses in Kerala that will help you become a successful Data Scientist. The courses such as Artificial Intelligence, Machine Learning, Data Science with R Certification, and others are comprehensive and tailor-made to suit you as per the industry’s needs.

For Intellipaat’s courses, geographical boundaries do not apply. It does not matter in which area of Kerala you are in, be it Palakkad, Malappuram, Thalassery, Thiruvananthapuram, Kochi, Kozhikode, Thrissur, Kannur, Alappuzha, Kottayam, Kollam, or anywhere. You can access our online course sitting at your home or office.

Intellipaat is one of the most affordable e-learning providers today. It offers both online training and self-paced training, and you can avail them at their respective costs. Our self-paced training costs about ₹15,048, while our online instructor-led training for the same costs ₹22,743.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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