Besant Technologies Provides Best Data Science Training in Chennai– Velachery, Tambaram, OMR, Porur, Anna Nagar, T-Nagar, Adyar, Thiruvanmiyur, Siruseri and Maraimalai Nagar. We train the students from basic level to advanced concepts with the real-time environment.
We offer Best Data Science Courses in Chennai with 100% Placement Assistance. We rated as the No 1 Training Institute for Data Science/Analytics Courses with Python, R, SAS, and Excel. From this Data Science Training, you will get real time exposure in statistics, Machine Learning, Deep Learning, Tensorflow, Artificial intelligence and machine learning algorithm Concepts.
This course includes concepts from statistics, computer science, & software engineering. We learn the necessary skills to manage & analyze data. We learn concepts such as exploratory data analysis, statistical inference, machine learning, & high dimensional data analysis.
Get enrolled for the most demanding skill in the world. Data Science Training in Chennai will make your career a new height. We at Besant technologies provide you with an excellent platform to learn and explore the subject from industry experts. We help students to dream high and achieve it. We have Data experts as our trainers. Our trainers have been working in top MNCs in good Data science roles and have good experience in training students. We provide training in both classroom and online modes. We do Corporate training. Read More...
Individuals
Individual training is a training that is individualized to take into consideration the differences between learners. It is most suitably used in a one-to-one situation. Read More...
Not like facilitated learning where the instructor takes a more passive role, with individual learning the trainer needs to consider and cater to the needs of individual participants. It doesn’t mean that students are at home they can be in a classroom and still work through things at their own pace.
Data Science Classroom Training
Group Training
We have many branches in Chennai and Bangalore. In Bangalore, We have branches in Marathahalli, Jaya Nagar, Indira Nagar, BTM layout, Rajaji Nagar and Kalyan Nagar. Read More...
Our branches are situated in places which have very good connectivity. We run our classes in small batch sizes which facilitates good interaction between trainer and students. Our trainers are attentive to students in case of doubts or questions in classroom training.
One to One Training
We also provide one to one classroom training where students will be given full attention as the trainer’s time is fully dedicated to one student. Read More...
Fast track classroom training: This is for students with time constraints. We give the best training at a fast pace while also covering the full syllabus as in normal classroom training.
Fast Track Training
Fast Track and flexible term courses are no different from regular semester-length courses. Sessions are more intensive, and trainees attend class more Read More...
hours each week to learn. what is needed to complete the course. This type of training is for those individuals who want to complete the course quickly by taking extra hours or extra classes.
Data Science Online Training
Online Classroom Training
We provide online training in both one to one and batch size. This is suitable for working professionals who can grasp the subject Read More...
easily but cannot travel to our branches due to time constraints.
One to One Training
One dedicated trainer for one learner, this is an excellent way of learning to understand the content in a simple way. All the Trainers are highly qualified professional. Read More...
Besant technologies is leading in 1-to-1 training, most of the learner prefer this for various benefits. Quicker learning as you get the undivided attention of the trainer. You don’t need to wait for your turn to clear your doubt. Quality of learning has an inverse relation with the number of students in a class.
Fast Track Training
Fast Track and flexible term courses are no different from regular semester-length courses. Sessions are more intensive, and trainees attend class more Read More...
hours each week to learn what is needed to complete the course. This type of training is for those individuals who want to complete the course quickly by taking extra hours or extra classes.
Corporate Training
This type of training is for companies who want to train, retrain, and jointly educate employees and managers in order to grow. We love to give corporate training as we have experienced professionals who can train you at your place with excellent teaching methodologies and help to grow your company at the highest peak. We provide world-class training for corporate professionals. This is specialized and customized training based on your business requirements.
Batch Schedule for Data Science Training in Chennai
Besant Technologies provides flexible timings to all our students. Here are the Data Science Training in Chennai Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.
Introduction to Data Science
This first stops in Data Science curriculum. It will help you get started with the program, plan your learning schedule, & connect with fellow students & teaching assistants. Along the way, you’ll get an introduction to working with & exploring data using a variety of visualization, analytical, & statistical techniques.
The field of data science is interdisciplinary, which encompasses a lot of areas including scientific methods, processes, systems, and algorithms. This field is deeply connected with big data and analytics. With proper training in data science, you make yourself eligible for recruitment in a lot of companies that have data handling jobs available with them. The world has been taken over by big data. And with the foothold of big data growth in the world, the need for its storage began to grow. Enterprise industries saw it as a challenge till somewhere around 2010. At that time, more emphasis was being laid on building solutions and frameworks for the storage of data. Then came frameworks like Hadoop that indeed solved the problem of data storage.
But then a new problem arose- processing of this stored data. Here comes the role of data science. In Hollywood sci-fi movies, you see a lot of seemingly unrealistic ideas. Believe it or not, all such ideas can be turned into reality with the help of data science. In another way, you can say that the future of artificial intelligence lies in data science. And that is probably the reason why data science and its courses are so much in demand. People want to learn it for lucrative IT career options. So, data science, which is a concoction of machine learning principles, algorithms, and various tools, is used to figure out concealed patterns in raw data. It is because of data science that data can be used to add value to any business. Predictive causal analytics, prescriptive analytics, and machine learning are the elements that together render data science helpful in making decisions and predictions. Here, it would be valuable to add that the future lies in the hands of data scientists. The need for data scientists that have expertise over the subject is growing with each passing day. What more? Well, data science is changing the way people look at the world flooded with data.
Combination of machine learning, Deep learning & AI.
- Data Science is the branch of science use the knowledge of Mathematics, Statistics, Computer Science and Business to analyze data insights and to take action based on these data. These scientific methods will help in making better decisions to solve critical business problems.
- Any company that makes data-driven decisions is dependent on its data scientists for its future.
- Data Scientist is someone who works with data and who has more expertise than that of a scientist, statistician, and a software engineer. Data Scientist should develop statistical algorithms and deal with big data.
- Data Engineer is someone who has a deeper understanding of data and its infrastructure and finds, transforms and cleans data.
- Data Analyst is someone who presents solutions to a business problem by analyzing data and using visualization techniques. Data analyst use Microsoft Excel, Tableau, SAS and work with queries. They don’t deal with Big data technologies.
- A data scientist should be expert in multiple skills such as Mathematics, statistics, Big Data.
- Data Scientist should have a deeper understanding of Mathematics, Statistics and should have good analytical skills to understand patterns in these data.
- Should be able to develop machine learning algorithms that are capable of doing predictive analysis and generate sample data based on given datasets.
Business Development & Analysis using Data.
- The fast increasing Global data, advancement of technologies, the growth of AI and machine learning – All these make big companies make data-driven decisions. Hence, Big companies depend on data to make important financial decisions. Data science is applied in Finance, Insurance, Gaming to make use of their structured and unstructured data and to make rational decisions.
- Data science has become inevitable in numerous fields and is undoubtedly the most-sought-after role nowadays.
- It could be a bit confusing to differentiate between Big data and Data science.
- Data Science is the branch of science that deals everything about data from the cleansing, preparation, analysis of data. This is applied primarily in internet searches, Fraud detection, Digital advertisements.
- Big data refers to complex and very large data sets which are unstructured and cannot be easily handled using traditional data processing tools. It involves data storage, analysis, visualization of these data and finds the insights from them to take strategic business decisions. This is applied in Financial services, Telecommunications, Commerce, Health and Sports.
- Data Scientist works at much a deeper level compared with the data analyst.
- Data analyst just works with analyzing and querying data using simple tools like SQL, Excel and provides solutions to the business problems presented to them. Data Scientist deals with Big data (Unstructured data).
- But, Data scientist creates business questions, analyses data patterns and creates a statistical model to find answers to those questions and use visualization techniques to help others understand their findings. They solve critical business problems and make companies take strategic decisions.
- Data Engineer deals with data warehouses. Data engineer is exposed to data architecture who designs, builds, works with data. Data engineer is responsible to maintain the accuracy and availability of data.
- Data Scientist, on the other hand, will develop deeper insights from the data maintained by the data engineer.
- Data engineers usually have a programming background whereas the data scientist comes from the mathematical background. According to Glassdoor, the number of jobs for Data engineers is 5 times more than the data scientist jobs.
- Data engineer develops, constructs, maintains data. Data engineer works with tools such as MongoDB, Redis, Hive, SAP, other database tools.
- Data Scientist develops insights and solves business needs. Data Scientist uses Tableau, SAS, SPSS, Rapidminer. Both of these roles use tools such as Spark, scale, etc.
- If you have good database background and strong technical skills, go for Data Engineer role.
- If you have good analytical skills, mathematical, statistical skills along with technical expertise, You can build your career as a Data Scientist.
Click Here to Check Latest Updated – Data Science Interview Questions and Answers
Data Science Exams & Certification
Having a certificate for Data science will increase your placement chances in top companies. Candidates possessing data science certificates stand out from the crowd and have a greater probability of achieving their dream careers. There are many standard industry recognizable data scientist certification programs.
Besant technologies provide the certificate for Data Science. It helps the candidates to prove their skills with industry standards.
Besant Technologies is a reputed institute that has trained over 10000 plus students. Besant technologies’ certificate for Data science will help you to kickstart your career as a data scientist and will help you to land in data science job. Besant Technologies certification will help you to gain real-time hands-on experience from industry guru’s.
The duration differs for weekday and weekend batches. For weekday batches, the estimate duration is between one to two months. For weekend batches, the estimate duration is about two months. For fees details, Kindly contact us.
You can take Exam untill you pass it. there is no limited attempts.
We conduct exams and provide certificates And if one fails, the exam can be retaken immediately.
Advantages of Data Science Certification Courses in Chennai
There is no industry these days, that doesn’t deal with data. To be honest, data is everywhere. And to extract meanings out of so much of the data available at hand, you need data science knowledge. But where to get this knowledge from? Well, there is no dearth of Data Science Certification Courses these days. All you need is to select one as per your need and convenience and you are good to go. With a certification course in data science, you can make yourself eligible for any data science job available in the job market. This certification acts as a testimony to your knowledge of data science.
Trainer Profile of Data Science Course in Chennai
We choose best trainers for you. The best thing about taking Data Science Training in Chennai at Besant Technologies is certainly the trainers here. They are the best you can avail of and will take care of all your academic needs. The best thing about the approach with which they impart training to the candidates is that its student-centric. That means the training imparted to you is based on your needs, demands and comfort level. The teachers do their best to make sure their knowledge and wisdom in the field of data science get effortlessly passed on to you. They don’t just have immense theoretical knowledge but also a lot of practical experience to enrich you with.
- Our trainers are industry data experts who work in Data Science.
- Most of our trainers work in companies and have considerable work experience in Data science field.
- Our trainers are flexible and are available based on your timings
- Our trainers have good experience in training and are good at demonstrating the solution for real-world data science problems.
Placement Assistance after Data Science Training :
- Our trainers help you with each and every step in your job progress.
- Our trainers help improve your resume and help you add the necessary skills so that your resume clears the screening process.
- Live project experience gained from the class will help you in facing interview questions.Our trainers are available for you to reach out for any doubts or queries after course completion.
- We conduct mock interviews for you which boosts up your confidence level and prepares you for real-time interviews.
Data Science Job Opportunities
Data Science team comprises data analyst, data scientist and data engineer, data architect, and so on. There is an increasing demand for data science roles and a big gap exists between the need and the availability. Hence, markets need more engineers in data science jobs. The industry provides the best salary for the right candidate. Read More...
The growing demand for people who are capable in mining and interpreting data is proof enough to say that there are huge career opportunities in the field of data science. And there is hardly any company that doesn’t have anything to do with data. Almost every company, irrespective of the industry in which it operates, deals with data handling. And that is why they are on a constant search for people having knowledge of data science. Starting from start-ups to big players, almost every company has the requirement for experienced people. By taking a data science course at Besant Technologies, you will be able to fill up job positions such as analytics manager, business analyst, business intelligence (BI) analyst, data analyst, data scientist, director of analytics, research analyst, research scientist, senior data analyst, statistician and the like. And to make sure you get the most lucrative jobs in the market, we offer placement assistance too.
- You can start as a Data analyst.
- You can also get into Data scientist or
- Data engineer positions.
- There are still more roles to explore in Data science field.
Data scientist deals with big data and helps organizations take strategic business decisions in solving their critical business problems.
- Start-ups pay an average salary of about 10.8 lakhs to data scientists.
- Salary can go as high up to 25 lakhs per annum.
- Tier 1 companies pay the best in the industry for data scientists.
Data analyst start on an average of 3.5 lakhs per annum.
- Wipro,
- Infosys,
- Flipkart,
- Urban Ladder,
- Snapdeal,
- Amazon hires for various data science roles.
Data science is a very good career option to step up the ladder, as it is being one of the highest paid and niche skill of the decade. Data Science is the domain which has an evergreen future. A lot of companies invest good money in doing research and innovate in this field.
Live Data Science Projects :
Our Live data science projects are designed based on the industry related problems and simulate the working experience of data science fields.
We will help you set up the software requirements in your personal laptops. Our trainers will guide you in setting up all the software requirements. It is highly recommended to carry your personal laptops in case of classroom training.
After setting up the software requirements, you can execute all classroom and hands-on labs in your personal laptop. We will give you practical assignments to do during class and at home. All exercises and course notes will be shared in softcopy only.
We will provide complete support for you to finish all your assignments. These assignments are designed based on industry problems and simulate the working experience in the relevant field.
Projects are live and are more closely related to real-time problems which help you to grasp the syllabus easily. Our projects will help you to have a deeper understanding of the subject.
Key Features of Data science Course in Chennai
Besant Technologies offers Data Science Training in Chennai in more than 7+ branches with 10+ years Experienced Expert level Trainers. Here are the key features,
Why Should I Learn Data Science from Besant Technologies?
- 35 Hours to 45 Hours Course Duration
- Industry Expert Faculties
- Completed 500+ Batches
- 100% Job Oriented Training
- Certification Guidance
- Learning from industry experts
- Live projects
- Real-time problems and solutions
- Flexibility
- Availability
- Connectivity with more branches
- Exam and Certification
- Placement assistance
- Mock interviews
- Frequently Asked Questions
Data Science Course in Chennai
Although there are many IT training institutes in Chennai, you cannot take a data science course from any random institute. For desired results, you need to enroll yourself with Besant Technologies, the best institute offering Data Science training in Chennai. Besant Technologies offers Best Data Science Training Courses in Velachery, Tambaram, OMR, Porur, Anna Nagar, T-Nagar, Adyar and Thiruvanmiyur in Chennai. We teach students everything that is important- starting from basic to advanced concepts, that too in a real-time environment.
Data Science with Python Training in Chennai
We teach you how to make use of python to look at the world of data visualization. With this knowledge, you will be able to craft your own amazing visualizations on the basis of real data. Python, being a powerful tool for statistical analysis, helps you with easy handling of data. With great readability and productivity, python does change the way you deal with data. For repeated tasks and data manipulation, there is nothing that can beat the efficiency of python in the matter of data science. Hence, if you are looking for Data Science with Python Training in Chennai, we are who you should contact without doubts and apprehensions.
Data Science With R Training in Chennai
R is an open source framework that traditionally used to be a major help in the fields of research and academics. Its applicability has, however, grown over time. And today, we can find its use in many fields other than the two mentioned above. There are good options in R for parallel computations. And it actually has amazing data handling capabilities. Although there are many applications of R, its best for exploring data sets and ad hoc analysis. An important benefit of handling data with R is that the latter’s library of statistical packages is huge. Starting from finance and genetics to psychometrics, R packages almost cover everything.
Data Science training with Advanced SAS: Macros & SQL
Advanced SAS that covers both Macros and SQL has huge varieties of statistical functions. Although there are many tools that help with data science, SAS has special significance not just in the field of data science but also advanced analytics. Throughout its rule in the market, it has been superbly adaptable and plastic. Reading data from all kinds of databases is possible with SAS. Tasks like processing of data on the RAM get easily pulled off by SAS. The probability of distribution of data and complex simulations have always been easy with SAS. You will be glad to know that we, at Besant, teach all the nitty-gritty involved in using SAS Advanced: Macros and SQL in the field of data science.
Data Science course in Chennai with Excel Macro
Data strategies have become all pervasive. Starting from institutional sectors to business, almost everywhere you will find the requirement of data handling. You can consider excel to be a bridge software that helps non-data scientists to do data related work. To acquire data-centric skills and projects, learning Excel macros is a must. Excel offers a lot of statistical functions. The modeling and data analytics capabilities of Excel are also worth taking note of. Handling real-time data with Excel is a breeze. Data validation is also something you can do with the ease with excel. Hence, excel can be a great armor in your arsenal for data science.
Prerequisites to Learn Data Science course in chennai
Over the years, data science has become an essential part of every business. It solves many problems within a given field through data analysis and interpretation of various data. There are few online resources stating that the candidate needs to be skilled in database query languages, software development, mathematics, programming visualization station, statics the etc as a basic requirement to become a data scientist. Read More...
This might discourage the beginners, who enter dreaming of becoming a Data Scientist. There are few institutes like Besant technologies that offer specialized programs, tailored to the educational requirements to pursue a career in data science. However, the skills aren’t mandatory for a beginner, as there are many MOOCs that will help one to learn those required skills. Also, many senior data scientists have mentioned that Data Scientist is a blanket job with varied types of data and skills. These skills need to be developed over time in order to match the available data science job.
Though there is too much confusion, still the questions might vary from every person based on their individual need and qualification. To get clarity on this, here is the answer for a set of few questions with both technical and non-technical discipline that arise with the candidate.
Technical skills
- Ph.D. or Masters a necessary
- Math or Statistics compulsory
- Hard-core programmer
- SQL and Hadoop skills
- Data science degree
- Machine learning concepts
Masters degree or a Ph.D. in data science is required for professionals who need to place themselves in the top positions with some good years of experience. But it is not required for a beginner and also there is the number of possible ways available today to learn data science for working professionals even which are flexible yet valuable. The real Data science experience is gained by the real time experience gained in addition to the course. But still, expertise with a Ph.D. can always prove with their knowledge and be in the top positions. This scenario is very true with Google, as they recruit only the Ph.D. or Masters degree holders for Data scientist positions.
People from diverse backgrounds like economics, operations research, statistics, computer science, mathematics etc are practicing as the data scientist. This is because, being familiar with the basic concepts of statistics and maths with linear algebra, probability, calculus etc is essential to understand data science.
Programming and well versed with its terms is the basic requirement of a data scientist. Having a basic knowledge and programming skills of C, C++ or Java is required, as this will help in understanding the programming tools like R ad Python. Writing efficient code and analyze big data with those codes is all about data science. Though expertise programming skill is not required the basic knowledge is mandatory.
SQL language fundamentals in creating indexes, group by, joins etc is necessary to understand data science. Also, the basic SQL knowledge will help in understanding the hadoop cluster. The emerging technologies like MapReduce, Hive, and Pig etc will be easy for a SQL and HADOOP programmers to learn.
Though a data science degree is not required, it will help in better understanding the concepts. Today, technology is helping us to learn all these courses through MOOC from wherever we are. But still learning these courses will not be helpful in learning the soft skills and managing skills required for data scientist job.
Machine learning, being an integral part of data science, can be learned during the intermediate or advanced levels. But if you are skilled with machine learning, then you are half the way in your expert skills.
Syllabus for Data Science Training in Chennai
Besant Technologies boasts of being the Best Data Science training institute in Chennai. And the syllabus for this course has been broken down below (not in any specific order) for your convenience.
Data Science with Python Training Syllabus
Introduction
- Why do we need Python?
- Program structure
Execution steps
- Interactive Shell
- Executable or script files
- User Interface or IDE
Memory management and Garbage collections
- Object creation and deletion
- Object properties
Data Types and Operations
- Numbers
- Strings
- List
- Tuple
- Dictionary
- Set
- Other Core Types
- Conversion between data types
Statements and Syntax
- Assignments, Expressions and prints
- If tests and Syntax Rules
- While and For Loops
- Break and continue
File Operations
- Opening a file
- Using Files – txt ,Csv, Xlsx
- How to connect MySQL
- Find and replace
- Appending to file
- Exporting file
Functions
- Function definition and call
- Function Scope
- Arguments
- Function Objects
- Anonymous Functions
- Packaging Importing
OOPS
- Classes and Objects
- Creating object
- Working with Class and Instance Variables Together
- Accessing Object Variables
- Accessing Object Functions
- Inheritance
- Multiple Inheritance
- Constructor
- Operator Overloading
- Polymorphism
- Encapsulation
- Abstract class and methods
Pandas Section
- Python Pandas – Introduction
- Introduction to Data Structures
- Python Pandas – Series
- Python Pandas – DataFrame
- Python Pandas – Basic Functionality
- Python Pandas – Descriptive Statistics
- Python Pandas – Indexing and Selecting Data
- Python Pandas – Function Application
- Python Pandas – Reindexing
- Python Pandas – Iteration
- Python Pandas – Sorting
- Python Pandas – Working with Text Data
- Python Pandas – Options and Customization
- Python Pandas – Missing Data
- Python Pandas – GroupBy
- Python Pandas – Merging/Joining
- Python Pandas – Concatenation
- Python Pandas – IO Tools
- Python Pandas – Comparison with SQL
- Python Pandas – Dates Conversion
- Plotting Data
Machine Learning Techniques
All algorithm will be explain by
- What is mathematics behind it
- Which scenario want to use
- How it is different from other algorithm
- How to interpret with Python
- What insights getting out from result
- Hypothesis Testing
- Correlation
- Outlier Detection
- T-test
- Anova
- Chi-square
- Linear regression
- Multiple regression
- Logistics Regression
- Naïve Bayes classifier
- K means clustering
- Decision tree
- SVM
- Time series forecasting Overview
For More Details About Data Science with Python Course Click Here! →
Introduction
- Why do we need Python?
- Program structure
Execution steps
- Interactive Shell
- Executable or script files
- User Interface or IDE
Memory management and Garbage collections
- Object creation and deletion
- Object properties
Data Types and Operations
- Numbers
- Strings
- List
- Tuple
- Dictionary
- Set
- Other Core Types
- Conversion between data types
Statements and Syntax
- Assignments, Expressions and prints
- If tests and Syntax Rules
- While and For Loops
- Break and continue
File Operations
- Opening a file
- Using Files – txt ,Csv, Xlsx
- How to connect MySQL
- Find and replace
- Appending to file
- Exporting file
Functions
- Function definition and call
- Function Scope
- Arguments
- Function Objects
- Anonymous Functions
- Packaging Importing
OOPS
- Classes and Objects
- Creating object
- Working with Class and Instance Variables Together
- Accessing Object Variables
- Accessing Object Functions
- Inheritance
- Multiple Inheritance
- Constructor
- Operator Overloading
- Polymorphism
- Encapsulation
- Abstract class and methods
Pandas Section
- Python Pandas – Introduction
- Introduction to Data Structures
- Python Pandas – Series
- Python Pandas – DataFrame
- Python Pandas – Basic Functionality
- Python Pandas – Descriptive Statistics
- Python Pandas – Indexing and Selecting Data
- Python Pandas – Function Application
- Python Pandas – Reindexing
- Python Pandas – Iteration
- Python Pandas – Sorting
- Python Pandas – Working with Text Data
- Python Pandas – Options and Customization
- Python Pandas – Missing Data
- Python Pandas – GroupBy
- Python Pandas – Merging/Joining
- Python Pandas – Concatenation
- Python Pandas – IO Tools
- Python Pandas – Comparison with SQL
- Python Pandas – Dates Conversion
- Plotting Data
Machine Learning Techniques
All algorithm will be explained by
- What is the mathematics behind it
- Which scenario want to use
- How it is different from other algorithms
- How to interpret with Python
- What insights getting out from the result
- Hypothesis Testing
- Correlation
- Outlier Detection
- T-test
- Anova
- Chi-square
- Linear regression
- Multiple regression
- Logistics Regression
- Naïve Bayes classifier
- K means clustering
- Decision tree
- SVM
- Time series forecasting Overview
For More Details About Data Science with SAS Course Click Here! →
Introduction to Data Analytics
Objectives
- This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data and Information.
- You can also learn how R can play an important role in solving complex analytical problems.
- This module tells you what is R and how it is used by the giants like Google, Facebook, etc.
- Also, you will learnuseof ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.
Topics
- Business Analytics, Data, Information
- Understanding Business Analytics and R
- Compare R with other software in analytics
- Install R
- Perform basic operations in R usingcommandline
- Learn the use of IDE R Studio
- Use the ‘R help’ feature in R
Introduction to R programming
Objectives
- This module startsfromthe basics of R programming like datatypes and functions.
- In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
- You will also learn how to apply the ‘join’ function in SQL.
Topics
- Variables in R
- Scalars
- Vectors
- Matrices
- List
- Data frames
- Using c, Cbind, Rbind, attach and detach functions in R
- Factors
Data Manipulation in R
Objectives
- In this module, we start with a sample of a dirtydata setand perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.
- Thus using and exploring the popular functions required to clean data in R.
Topics
- Data sorting
- Find and remove duplicates record
- Cleaning data
- Recoding data
- Merging data
- Slicing of Data
- Merging Data
- Apply functions
Data Import techniques in R
Objectives:
- This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a CSV file to the data scraped from a website.
- This module teaches you various data importing techniques in R.
Topics
- Reading Data
- Writing Data
- Basic SQL queries in R
- Web Scraping
Exploratory Data Analysis
Objectives
- In this module, you will learn that exploratory data analysis is an important step in the analysis.
- EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.
Topics
- Box plot
- Histogram
- Pareto charts
- Pie graph
- Line chart
- Scatterplot
- Developing Graphs
Basics of Statistics & Linear & Logistic Regression
Objectives
- This module touches the base of Descriptive and Inferential Statistics and Probabilities & ‘Regression Techniques’.
- Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
Topics
- Basics of Statistics
- Inferential statistics
- Probability
- Hypothesis
- Standard deviation
- Outliers
- Correlation
- Linear & Logistic Regression
Data Mining: Clustering techniques, Regression & Classification
Objectives
- Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
- The two Machine Learning types are Supervised Learning and Unsupervised Learning and the difference between the two types.
- We will also discuss the process involved in ‘K-means Clustering’, the various statistical measures you need to know to implement it in this module.
Topics
- Introduction to Data Mining
- Understanding Machine Learning
- Supervised and Unsupervised Machine Learning Algorithms
- K- means clustering
Project work
For More Details About Data Science with R Course Click Here! →
Reviews of Data Science Course in Chennai
I was a junior data scientist. It was my sheer interest in data science that compelled me to take up the data science training in Chennai at Besant Technologies. Since I already had a little knowledge of the subject, it was not really extremely difficult for me to have a grip on the course. But the training was imparted by the experienced teachers of Besant so effectively that even those fellow candidates who had no background in data science showed progress pretty fast. I benefitted a lot from this data science course in Chennai, and I can confidently say that I have developed a lot of understanding of the subject of data science through this training.
I always wanted to do something in the field of data science/Analytics. But I was not being able to find out a good training center. Then an ex Besant Technologies student told me about this institute. Besant Technologies has trained me so well in data science training in Chennai that I was reined in by the first company that interviewed me. I feel confident and blessed today. All thanks to Besant Technologies!
I never thought I could be a part of the IT world, given that I was not from a science background. Thankfully, Besant Technologies doesn’t need you to have any special educational background. The faculty members here taught us data science training in Chennai concepts so well, that never for a moment I felt I was no way related to technology. Now, I have joined an IT MNC. And working in a good position.
I am an ex Besant Technologies student. Although I liked everything about the coaching center, I especially loved the way the data science training in Chennai trainers imparts the course lessons. They not just emphasize theories but also practical. With regular practical training, I have learned a lot about the subject and its applicability. This has immensely helped in my job.
Being able to find a good data science institute from the crowd is indeed challenging. It took me a lot of time to zero in on one particular organization for data science training in Chennai. But then I am glad I chose Besant Technologies. It has a big contribution in whatever I have achieved in life.
I am inclined towards IT. And that is why I wanted to take data science training in Chennai from a good coaching center. When my friend told me about Besant, I did give it a second thought. But after some calculation, I went ahead and joined it. I feel thankful for myself that I did that. There is perhaps an institute that focuses so much on individual trainers’ learning and progress. Besant Technologies does, and that’s why it is different!
Frequently Asked Questions
If there is any planned absence, always inform us. Absence should always be informed in prior to us and we will do the backup classes for the missed topics only after the course is completed.
Yes. Our trainers will help you throughout the interview process and guide you in each and every stage until you get the job. Our trainers motivate you in each and every stage of your job search. Our trainers also conduct mock interviews for you.
Our trainers are the Data experts who work in top companies in Data Science field and solve real-world data science problems. Our trainers are good at explaining the concepts and help students understand the subject better.
We connect with experts in each field who are mostly working professionals with real-time experience in the relevant field. Our trainers have in-depth knowledge and have more than eight years of experience in the industry. We screen the data professionals with good technical knowledge, training experience, good interpersonal and communication skills. We constantly monitor trainers’ performance and record feedback from each student.
You can keep in touch with our trainers who will help you clear your doubts and queries in the near future of course completion. Our trainers help you post course completion as well.
You will receive Certification for Data Science from Besant technologies after course completion.
We provide classroom and online modes: one to one and batch. We also provide corporate training.
We provide classroom training in both one to one and batch. Online training is also available in one to one and batch modes.
You can attend the free demo class. Kindly contact us directly for attending a demo class with our trainer at our institute. You can walk into any of our branches and we will arrange a demo for you with our trainer.
We are providing very good discounts for group enrolment and corporates training. We have been doing corporate training for a long time. Please contact us for group discounts and corporate training.
We accept cash and accept all the major credit and debit cards for payment. We accept Master, Visa cards. We also accept online payment.
Please contact us for more queries via live chat, call back or quick call inquiry. We will immediately help you with your all queries.