Data Science Course In Chennai With R Programming
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Are you ready to dive into the exciting world of data science? At Placement Point Solutions, we offer a top-notch data science course in Chennai with a focus on R Programming that prepares you for a thriving career in this dynamic field. Our comprehensive data scientist course in Chennai blends theoretical knowledge with hands-on experience, ensuring you gain practical skills to succeed. Recognized as a leading data science institute in Chennai, we deliver high-quality training led by industry experts. Our expert trainers provide personalized guidance, helping you master the latest tools and techniques, including R Programming. For job seekers, we offer 100% placement support to unlock new career prospects and help you stand out in the competitive job market. Join Placement Point Solutions today and embark on your journey to becoming a successful data science professional!
The Data Science Course covers a wide range of topics, including R Programming, Python Programming, Core Statistical Methods, Machine Learning, Deep Learning, Tableau, Power BI, My SQL, Excel, AWS Cloud Basics, AI, and Excel.
All of these questions that might pop up in your mind lead right to the answer is “PLACEMENT POINT SOLUTIONS”.
Placement Point Solutions shines as the ultimate destination for aspiring Data Scientists. As the top choice for students all over India, particularly those from Tamil Nadu, we offer a cutting-edge Data Science program. We understand your need for a practical-oriented course over theory-heavy ones, and we deliver precisely that. Our training methodology expertly blends practical skills with theoretical knowledge, ensuring a well-rounded learning experience. Join us to enhance your skills, earn a valuable certification, and embark on a rewarding career in Data Science!
<li>Interview Questions on Performance Measurement Models
All of these questions that might pop up in your mind lead right to the answer is “PLACEMENT POINT SOLUTIONS”.
Data Science is a buzzword in the tech industry, undoubtedly. It is one of the most in-demand career sectors nowadays. Data Science courses and machine learning courses gained traction in the education sector in the last decade as technology advanced.
Data is the key element in Data Science. As we live in a world of huge data, there is no reason to be surprised by the emergence of a Science sector known as Data Science. In the past industries faced a hard time in the storage of data. For more than a decade, data storage isn’t difficult with the emergence of popular frameworks like Hadoop, Spark etc… So the focus area now is of processing the data. It is in this area that Data Science and Machine Learning play a huge role. In simple words, data science is used to find business solutions by studying complex and vast data.
Data Scientist is a term that exists since 2008. It was coined when industrialists realized the need for skilled professionals working on the massive data. Data Scientists collect different types of data from a variety of data sources and use them for the benefit of the business. After collection, they organize the information and translate the results into effective business solutions. Almost all industries need this expertise these days. This is why skilled data scientists are a need of the hour to many companies.
The responsibilities of data scientists don’t merely revolve around data alone. They are data-driven professionals underpinned by experiences in leadership and communication. They are high-level technicians capable of addressing complex data problems and driving perfect strategies to streamline business growth. They have practical knowledge in Mathematics and Statistics.
Generally, data scientists are capable of handling a variety of tools and skills like R, Python, Apache Hadoop, MapReduce, Apache Spark, NoSQL databases, Cloud computing, D3, Apache Pig, Tableau, iPython notebooks, Github, etc. Also, they are good at working on Microsoft Excel.
Data Science is a lucrative career option for many. No wonder with the high salary and IBM calling it the trending job of the 21st century, data science isn’t a field of study and career that is going to be endangered or extinct very soon. Big or small, industries nowadays have an ever-increasing demand for Data Science professionals. This demand is hardly met these days due to the shortage of qualified individuals to fill in the vacancy.
In 2021, the professional networking platform LinkedIn recognized Data Scientist as one of the most promising jobs. In the US, Glassdoor recognized data scientists as the most highly paid professionals from 2016. There, this profession ranked in the top three.
The scenario is not different in many other countries. In the past few months, there were around One Lakh Job openings in the post of Data Analyst in India (According to The Hindu report). Just like that, the demand for data science talent is accelerating at a considerable rate. In India, the data scientist is a high-paying role, ranging an annual turnover between 10,00,000 – 20,00,000, depending upon the expertise.
Educational Qualifications to enroll in a data science course in Tamil Nadu
Many data scientists in India are postgraduates. Many are graduates. A few are Ph.D. holders. But that won’t be a reason for you to panic. You can enroll at Placement Point Solutions despite whatever your educational qualification is. It doesn’t matter what degree you hold or what experience you have. You can still join the data science course and complete it without any issues and get an IT Job Career out of it.
Many of the Indian companies are advanced enough to require the assistance of data scientists. You have an Opportunity to get an employment into big industrial players like Amazon, Wal-Mart, P&G, Oracle, and IBM, etc, hire professionals certified for a data science course. The main locations of job openings are Chennai, Bangalore, Mumbai, Pune and Hyderabad.
Are you a fresh graduate or a student looking for your dream job in the data science field? Just a data science course certification or skills in that job sector alone won’t come in handy if you are looking forward to your dream job in the data science field. To make your resume stand out, you have to input considerable effort.
Steps to strengthen your portfolio as a job candidate:
Why should you learn the data science course at Placement Point Solutions?
If you are a tech aspirant passionate about data science, you will get our helping hand to learn the basics of data science. From the scratch, you will be trained in all the theoretical and practical insights required to be a data science professional.
Placement Point Solutions stands out from the rest with an amazing team of trainers. We do not entertain the involvement of poorly experienced trainers in coaching you. The stringent criterion we set for the selection of trainers ensures that they are the experts in the domain and are capable of guiding a new student to a well-built career they always dreamt of. Our faculties focus on personalized teaching which makes the learning interesting for students.
As a team of experienced industrialists, the role we play is not to prepare learning modules for you and get you a course completion certificate. We focus on end-to-end assistance from the moment you enroll for the training course till you are placed in a reputed firm. Being fresher’s in the data science field, if you lack industrial knowledge, it is our responsibility to help you assist in the matter. We make sure you have a resume that is good enough to please the recruiter board.
Our training sessions are molded to cater to the demands of the interviews you will attend in the future. Many students are highly skilled in the academic sector. But when they opt for interviews, they fail miserably. Shaky legs and sweaty fingers, they are no longer the smart student in the classroom. The rapid shift that occurs to one due to the change in atmosphere is common. We prepare our students to withstand the stress they undergo during job preparation and mold them into smart job candidates through our sessions.
Break-in learning or a career break is something that is frowned upon in the job market as well as in the education sector. Although taking a break of 6 months or a year or even more is a normal thing in many countries, the case in India is different.There are many reasons people take a break from their studies or their careers. For many, it is psychological reasons, like depression, grief, anxiety, and a lot more. For some people, it is due to their other responsibility. In India, mostly women are subjected to career breaks or breaks in education, mostly due to marriage or childbirth.
Breaks in learning are often big havoc in preparing and cracking competitive exams and eligibility tests. This problem can only be surpassed by the together effort of the trainer and the student.
In Placement Point Solutions, you will get tailored training compensating the breaks you had in learning before enrolling for the course. We are a group of empathetic and responsible authority who focuses on the holistic advancement of a student as a data science professional.
The schedule of training pulls back many individuals from the zeal of getting trained from a data science training coach or institute. It is our responsibility as trainers to ensure that you are getting flexibility in choosing your learning schedule. We will help you to be updated with any sessions you missed due to unavoidable situations.
The career options that data science learning provides are commendable. Learning Data Science opens doors to wide opportunities mostly as a Data Scientist, Data Analyst, and Data Engineer. Among all the career options available, which one is best for me? If a question like this ponders in your mind, we will provide the right answer for that. By getting customized learning from Placement Point Solutions, you will be able to determine your field of interest and will be guided to the right career path you always fantasize about.
Placement Point Solutions focuses on enabling a continuous learning mindset in students. Learning isn’t something that should end with a full stop at the moment a student gets a course certificate.
Nowadays, you can’t be a winner in your career if you are unwilling to sharpen your axes once in a while. Companies push you out of the comfort zone always by encouraging professionals to up skill themselves always. This continuous learning is one of the promised features of many companies. Continuous learning not only helps companies but also the employees too. By continuous learning, you can step higher in your corporate ladder, maybe beyond your imagination. We prepare students to be a learner for a lifetime and ensure their future is safe and successful.
Education is more of a matter to loot from privileged and under-privileged. Many institutes do not stick to the morale of providing quality education at affordable charges. But we differ.
Placement Point Solutions have the mission of empowering the data science aspirant students in Chennai and playing a prominent part in shaping the future of the country. Thus we provide quality training at student-friendly charges.
Not every student will be fast enough in learning. If students are treated the same way by ignoring the weakness of a few, there is a sure chance that many lags behind. We are extra vigilant in uplifting the ones having more difficulty in catching up with the syllabus, thus ensuring every enrolled student completes the course in a satisfactory way.
Getting your data science course done is a simple task as you have a lot of institutes to choose from. But if you give priority to the quality of training and past training assistance, a data science training course in Placement Point Solutions is the best. For any tech aspirants from Tamil Nadu, the data science coaching at our institute in Chennai is reliable and easily accessible.
Do you dream to become a data science professional? Why hesitating? Contact us and let us help you catch your dreams!
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Data Science is a combination of algorithms, tools, and machine learning technique which helps you to find common hidden patterns from the given raw data.
What is logistic regression in Data Science?
Logistic Regression is also called as the logit model. It is a method to forecast the binary outcome from a linear combination of predictor variables.
Name three types of biases that can occur during sampling?
In the sampling process, there are three types of biases, which are:
A decision tree is a popular supervised machine learning algorithm. It is mainly used for Regression and Classification. It allows breaks down a dataset into smaller subsets. The decision tree can able to handle both categorical and numerical data.
What is Prior probability and likelihood?
Prior probability is the proportion of the dependent variable in the data set while the likelihood is the probability of classifying a given observant in the presence of some other variable.
Explain Recommender Systems?
It is a subclass of information filtering techniques. It helps you to predict the preferences or ratings which users likely to give to a product.
Name three disadvantages of using a linear model?
Three disadvantages of the linear model are:
Why do you need to perform re-sampling?
Re-sampling is done in below-given cases:
List out the libraries in Python used for Data Analysis and Scientific Computations?
The power analysis is an integral part of the experimental design. It helps you to determine the sample size requires to find out the effect of a given size from a cause with a specific level of assurance. It also allows you to deploy a particular probability in a sample size constraint.
Collaborative filtering used to search for correct patterns by collaborating viewpoints, multiple data sources, and various agents.
Bias is an error introduced in your model because of the oversimplification of a machine learning algorithm.” It can lead to underfitting.
The Naive Bayes Algorithm model is based on the Bayes Theorem. It describes the probability of an event. It is based on prior knowledge of conditions which might be related to that specific event.
Linear regression is a statistical programming method where the score of a variable ‘A’ is predicted from the score of a second variable ‘B’. B is referred to as the predictor variable and A as the criterion variable.
They are not many differences, but both of these terms are used in different contexts. Mean value is generally referred to when you are discussing a probability distribution whereas expected value is referred to in the context of a random variable.
AB testing used to conduct random experiments with two variables, A and B. The goal of this testing method is to find out changes to a web page to maximize or increase the outcome of a strategy.
The ensemble is a method of combining a diverse set of learners together to improvise on the stability and predictive power of the model. Two types of Ensemble learning methods are:
Bagging
Bagging method helps you to implement similar learners on small sample populations. It helps you to make nearer predictions.
Boosting
Boosting is an iterative method which allows you to adjust the weight of an observation depends upon the last classification. Boosting decreases the bias error and helps you to build strong predictive models.
Explain Eigenvalue and Eigenvector
Eigenvectors are for understanding linear transformations. Data scientist need to calculate the eigenvectors for a covariance matrix or correlation. Eigen values are the directions along using specific linear transformation acts by compressing, flipping, or stretching.
Define the term cross-validation
Cross-validation is a validation technique for evaluating how the outcomes of statistical analysis will generalize for an Independent dataset. This method is used in backgrounds where the objective is forecast, and one needs to estimate how accurately a model will accomplish.
Explain the steps for a Data analytics project
Boosting is
Boosting
The following are important steps involved in an analytics project:
Discuss Artificial Neural Networks
Artificial Neural networks (ANN) are a special set of algorithms that have revolutionized machine learning. It helps you to adapt according to changing input. So the network generates the best possible result without redesigning the output criteria.
Back-propagation is the essence of neural net training. It is the method of tuning the weights of a neural net depend upon the error rate obtained in the previous epoch. Proper tuning of the helps you to reduce error rates and to make the model reliable by increasing its generalization.
Random forest is a machine learning method which helps you to perform all types of regression and classification tasks. It is also used for treating missing values and outlier values.
Selection Bias occurs when there is no specific randomization achieved while picking individuals or groups or data to be analyzed. It suggests that the given sample does not exactly represent the population which was intended to be analyzed.
K-means clustering is an important unsupervised learning method. It is the technique of classifying data using a certain set of clusters which is called K clusters. It is deployed for grouping to find out the similarity in the data.
Explain the difference between Data Science and Data Analytics
Data Scientists need to slice data to extract valuable insights that a data analyst can apply to real-world business scenarios. The main difference between the two is that the data scientists have more technical knowledge then business analyst. Moreover, they don’t need an understanding of the business required for data visualization.
When you conduct a hypothesis test in statistics, a p-value allows you to determine the strength of your results. It is a numerical number between 0 and 1. Based on the value it will help you to denote the strength of the specific result.
Define the term deep learning
Deep Learning is a subtype of machine learning. It is concerned with algorithms inspired by the structure called artificial neural networks (ANN).
Explain the method to collect and analyze data to use social media to predict the weather condition.
You can collect social media data using Facebook, twitter, Instagram’s API’s. For example, for the tweeter, we can construct a feature from each tweet like tweeted date, retweets, list of follower, etc. Then you can use a multivariate time series model to predict the weather condition.
You need to update an algorithm in the following situation:
What is Normal Distribution
A normal distribution is a set of a continuous variable spread across a normal curve or in the shape of a bell curve. You can consider it as a continuous probability distribution which is useful in statistics. It is useful to analyze the variables and their relationships when we are using the normal distribution curve.
Python will more suitable for text analytics as it consists of a rich library known as pandas. It allows you to use high-level data analysis tools and data structures, while R doesn’t offer this feature.
Explain the benefits of using statistics by Data Scientists
Statistics help Data scientist to get a better idea of customer’s expectation. Using the statistic method Data Scientists can get knowledge regarding consumer interest, behavior, engagement, retention, etc. It also helps you to build powerful data models to validate certain inferences and predictions.
Name various types of Deep Learning Frameworks
Explain Auto-Encoder
Auto-Encoders are learning networks. It helps you to transform inputs into outputs with fewer numbers of errors. This means that you will get output to be as close to input as possible.
Define Boltzmann Machine
Boltzmann machines are a simple learning algorithm. It helps you to discover those features that represent complex regularities in the training data. This algorithm allows you to optimize the weights and the quantity for the given problem.
Explain why Data Cleansing is essential and which method you use to maintain clean data
Dirty data often leads to the incorrect inside, which can damage the prospect of any organization. For example, if you want to run a targeted marketing campaign. However, our data incorrectly tell you that a specific product will be in-demand with your target audience; the campaign will fail.
Skewed distribution occurs when if data is distributed on any one side of the plot whereas uniform distribution is identified when the data is spread is equal in the range.
Underfitting occurs when a statistical model or machine learning algorithm not able to capture the underlying trend of the data
Reinforcement Learning is a learning mechanism about how to map situations to actions. The end result should help you to increase the binary reward signal. In this method, a learner is not told which action to take but instead must discover which action offers a maximum reward. As this method based on the reward/penalty mechanism.
Name commonly used algorithms.
Four most commonly used algorithm by Data scientist are:
Precision is the most commonly used error metric is n classification mechanism. Its range is from 0 to 1, where 1 represents 100%
An analysis which is applied to none attribute at a time is known as univariate analysis. Boxplot is widely used, univariate model.
In order, to overcome challenges of my finding one need to encourage discussion, Demonstrate leadership and respecting different options.
Explain cluster sampling technique in Data science
A cluster sampling method is used when it is challenging to study the target population spread across, and simple random sampling can’t be applied.
State the difference between a Validation Set and a Test Set
“The binomial distribution contains the probabilities of every possible success on N trials for independent events that have a probability of π of occurring.”
A recall is a ratio of the true positive rate against the actual positive rate. It ranges from 0 to 1.
Discuss normal distribution
Normal distribution equally distributed as such the mean, median and modes are equal.
Following methods of variable selection you can use:
Name commonly used algorithms.
Four most commonly used algorithm by Data scientist are:
Yes, we can use analysis of covariance technique to capture the association between continuous and categorical variables.
Treating a categorical variable as a continuous variable would result in a better predictive model?
Yes, the categorical value should be considered as a continuous variable only when the variable is ordinal in nature. So it is a better predictive model.
class=”yoast-text-mark”>class=”yoast-text-mark”>s=”yoast-text-mark”>s=”yoast-text-mark”>s=”mtx”>I have done my Data Science Course at Placement Point Solutions last year during covid-19. Initially I felt the course fees was a bit on the higher side, but it’s more than worth the money doing the course at this place, as the training is of high quality and more over the placement opportunity was excellent. I got placed in ZOHO. I take this as an opportunity to show my gratitude and thank the management for their support and I would like to wish all the students a very good future with Placement Point.
M Manoj Kumar
class=”yoast-text-mark”>class=”yoast-text-mark”>s=”yoast-text-mark”>s=”yoast-text-mark”>s=”mtx”>It’s a place to up skill your career for sure. I am having more than 20 years of experience in the IT industry and I have done several software courses at many institutes but Placement point Solution is quite special to me. Data science training here is quite refreshing. I had 3 trainers as it’s an expert level training program and all of them were gem of a human being with highly skilled and most important thing is they were so humble to solve all our doubts. Good admin people. I am satisfied with the training here.
V Vishwanathan R
class=”yoast-text-mark”>class=”yoast-text-mark”>s=”yoast-text-mark”>s=”yoast-text-mark”>s=”mtx”>My name is Abdul and I am working for Infosys for the past 6 years now as Data Analyst. I did my Data Science course with AWS Cloud and Python Programming. The duration is around 6 Months, which initially I felt is a bit on the higher side, but seriously, it requires us to spend that 6 Months time to learn everything from this course properly. It is highly demanding technologies in the IT / Software companies. I have received many offers after the completion of this course. I am still finalizing the company, whether to move out of Infosys or continue with the same company. If you are a Non-IT professional or a fresher, this place would be a great stepping stone for your career as a Data Scientist. I recommend.
A Abdul Rahman
class=”yoast-text-mark”>class=”yoast-text-mark”>s=”yoast-text-mark”>s=”yoast-text-mark”>s=”mtx”>I was an MBA student when I did Data Science course here. I did my data science course here at PPS after having so many questions about my career in IT Company. Since I dint have the confidence initially to take long term course, I just took 3 months short term course. I did for just gaining some knowledge, but gradually I understood that if you do this course for getting a Job in a Software Company, then you need to do it properly spending some time to learn it step by step. I have seen people getting jobs here in Data Science and they are getting salary offers more than 7 to 8 Lakh per annum. Sounds really good, aren’t it. Now I am attending interviews and slowly I am getting confidence to get job in few days to come. I thank the management for their continuous support.
D Daniel Thomas
Data science combines multiple fields, including statistics, scientific methods, artificial intelligence (AI), and data analysis, to extract value from data.</p>
Those who practice data science are called data scientists, and they combine a range of skills to analyze data collected from the web, smartphones, customers, sensors, and other sources to derive actionable insights.
By studying the Course at Placement Point Solutions, you will aquire the knowledge of a Data scientists both technical as well as interpersonal skills to be successful in their roles. Our Trained Data science candidates will have knowledge of Python and R programming, as well as an understanding SQL, and machine learning and Artificial Intelligence algorithms.
Data science is a field that contains various tools and algorithms to derive useful insights from raw data. It involves various methods of data modeling and other data related tasks like data cleaning, pre-processing, analysis, etc.
<p>Big Data involves a large amount of information that can be generated in constructed or structured, unstructured and semi structured channels through various channels and organizations.
Data analysis tasks involve providing operational insights into complex business situations. This also predicts the next opportunities that the organization can explore.
Yes. You will be trained from scratch. You need no coding or programming knowledge to start this course.
Anyone who wishes to become a data scientist can do this course. Whether you are a student or a Degree holder or an employee who works in Non-IT Company, it doesn’t matter.
You have Standard course for 3 Months and you also have an Expert course for 6 Months. Contact the administration team and talk to the experts.
Python would be the best choice as it has Pandas library which provides high-performance data analysis tools and easy to use data structures.
You can even go with either of these languages depending on the complexity of the data which is being analyzed.
Just Python Programming is enough or if you wish to learn more, then you can also do R Programming along with it.
Your trainer will provide you soft copy material after the completion of the course or once in a week.
It’s the most demanding and highly paid course in the IT industry
It’s very easy to learn. Only interest and dedication is required to do this course.
You can enroll online or you can call our admin team who will guide you in enrolling.
All the trainers who work for us have a very good experience in both real-time environment as well as training environment.
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<strong>Below given are few top companies who hire Data Scientists are
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Yes. Freshers are mostly wanted as the industry believes they have to be upgraded at the early stages of their career.</p>
INR 5,000,00 – INR 15,000,00 (As per the industry standard)
Areas in Chennai which are nearer to us are Velachery, Adambakkam, Adyar, Alandur, Madipakkam, Arumbakkam, Ashok Nagar, Besant Nagar, Chengalpet, Chitlapakkam, Choolaimedu, Chromepet, Ekkaduthangal, Guindy, Jafferkhanpet, Pallikaranai, K.K. Nagar, Kodambakkam, Kottivakkam, Koyambedu, Mandaveli, Medavakkam, Mylapore, Nandambakkam, Nandanam, Nanganallur, Neelangarai, Nungambakkam, Tambaram, Palavakkam, Palavanthangal, Pallavaram, Pammal, Perungalathur, Perungudi, Poonamallee, Porur, Pozhichalur, Saidapet, Santhome, Selaiyur, Sholinganallur, Singaperumalkoil, St. Thomas Mount, T. Nagar, Teynampet, Thiruvanmiyur, Thoraipakkam, Urapakkam, Vadapalani, Valasaravakkam, Vandalur, West Mambalam, Virugambakkam.
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