Data Science Course in Chennai

Login360 training institute is the perfect choice for you if you’re looking for first-rate Data Science training in Chennai. We teach everything from beginning to up-to-date in that subject. The trainers are working as professionals in the IT field for more than ten years. They will teach the students everything they need to know to succeed in the data science field. The Data Science certification course will help you to get placed in top MNC companies.

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Best Data Science Course in Chennai

Login360 aims to make you an expert in all the concepts of Data Science, including Data Analytics, Machine Learning Algorithms, Data Modeling, Business Analytics, k-means clustering, and R programming.

Industrial experts design our data science course syllabus with their recent experience in the field. They will guide you on how to adapt to the work atmosphere. Trainers for a data science course are well-experienced, knowledgeable, and have 10+ years of experience in the respective domain.

We offer data science courses for affordable prices with the best coaching, and this session will begin from scratch to the advanced level. It will help you to understand the basics to advanced techniques without struggle.

Data Science Course in Chennai
Data Science Training in Chennai

Data Science Training Institute in Chennai

Login360 is the best data science training institute in Chennai, with a unique specialization. A data science course is ideal for persons interested in statistics which might find this course easy.

Especially a data science course helps improve a person’s analytical skills. Our trainers are real-time working professionals with more than 10 years in top MNC companies.

We provide a ranging infrastructure for data science training in Chennai. Here, we offer lab facilities for all our students. Trainers will give assignments and tasks based on regular classes. Our data science certification course makes you master all the fundamentals of data science.

Data Science Course in Chennai With Placement 

We offer a job-oriented data science course in Chennai with placement support. Enhance your career by learning a data science course at Login360 with 100% job assistance.

Data Science is the best course for those who want to Shift their career, and this course includes learning statistics, data analysis, Artificial Intelligence, and Machine Learning. You will be working on real-time projects to enhance your skills.

Login360 will conduct mock interviews to determine your area of interest and help you shine in that field. We will arrange interviews for you based on your interest.

Data Science Course Duration and Fees in Chennai

The Data Science course usually takes the following hours to complete the entire module. And it also depends upon the way you learn the course. Here we list out the Data Science course fee range.

LevelCourse DurationFees Structure
Basic2.5 - 3 Months4,000₹ - 6,000₹
Advanced2.5 - 3 Months8,000₹ - 10,000₹
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Courses We Offer

Digital Marketing

Login360 offers the best digital marketing training with an updated syllabus, which is designed by industry experts.

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Web Designing

If you want to become a web developer, join the login360 software training platform to accomplish your career..

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Java Programming

Login360 offers excellent Java training, and you will get top-notch training from qualified IT professionals here.

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Software Testing

We offer the Best Software Testing training with an updated curriculum, which is designed by industry experts.

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Python Programming

Enroll today in Python training in Chennai at Login360, where you can learn the required skills for web development.

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Machine Learning

Login360 institute is the perfect choice if you’re looking for the finest Machine Learning training with 100% job surety.

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Why Choose Login360 for Data Science?

Login360 offers the best data science training in Chennai. Our trainers are real-time working IT professionals, and they have excellent knowledge in the data science domain, and they will teach you practicals and make you understand thoroughly.

We will arrange interviews, and before that, we will conduct a mock interview, making the actual interview easy for you. We admit only few members per batch so that trainers can focus on every student.

Login360 provides lab facilities and ranging infrastructure to our students for implementing and executing it will enable you to learn data science skills more practically.

Benefits Of Data Science Course

Data science is majorly about the extracts knowledge from big data sets. Data helps predict the future. In the modern world, data has become the top priority because of the use of data in every business field. In various ways, data has been worthwhile.

Login360 offers 40+ IT training courses in Chennai with trainers with more than 7+ years of experience in the IT industry. 

Hands-on training

30+ hours course duration

Industry expert faculties

100% job-oriented training

Updated syllabus

Resume buildup

Mock interviews

Affordable fees structure

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Job Opportunities in Data Science

A fast-evolving field, Data Science offers a variety of career options. The demand for data science is increasing at an unheard-of rate due to the creation of apps utilizing Big Data and AI.

You can Work as a

Data Scientist Data Analyst Data EngineerData ArchitectBusiness analystStatistician

Upcoming In-Demand Jobs

LogisticsWeather ForecastingMarketing AnalystQuantitative AnalystHealth care advancements

Salary in Data Science

Fresher Data Scientist

₹ 3.4 to 4 LPA

Experienced Data Scientist

₹ 6 to 7.3 LPA

Experts in Data Analyst

₹ 4 to 11.2 LPA

Business Intelligence Developer

₹ 3.6 to 11 LPA

Statistician

₹ 1.5 to 2 LPA

Experienced Data Architect

₹ 13.5 to 23.6 LPA

Data Engineer

₹ 3.3 to 8 LPA

Note: It all depends on the skills, roles of an individual, and the city of work.

Our Students work in

Data Science Topics Covered

The advanced Data Science course will cover all those aspects of Data Science. The advanced Data Science course topics include:

Course Duration : 3 Months (Weekdays)

Introduction to Data Science
  • The market trend of Data Science
  • Opportunities for Data Science
  • What is the need for Data Scientists
  • What is Data Science
  • Data Science Venn Diagram
  • Data Science Use cases
  • Real-time Practical
     
Data and Tools
  • What is Business Intelligence?
  • What is ETL?
  • Layers of a Data Warehouse
  • OLAP VS OLTP
  • Facts and Dimensions
  • Big Data tools and it’s uses
  • Big Data stack
Data Science- Deep dive
  • Understanding Descriptive vs Predictive vs Prescriptive Analytics
  • Difference between Analytics vs. Analysis
  • Data Science Project Lifecycle
  • Technology Stack Involved in the Lifecycle
  • Machine Learning tools
  • Development tools
  • Using SQL concepts inside Python
Statistics & Probability
  • What is Statistics
  • Sample Vs Population
  • The measure of Central vs Dispersion
  • Frequency Distribution
  • Cumulative Frequency Distribution
  • Mean, Median, Mode
  • Quartiles/Percentile
Setup
  • Anaconda & Python
  • Understanding Jupyter Notebooks
  • Python Package Installation
  • Tableau Installation
  • Oracle Database & Server
  • Introduction to Tableau
  • Data sources
Data Sourcing, Exploratory Data Analysis & Readiness
  • Concept of List, Data frame, Dictionary
  • Connecting to Databases using Python
  • Importing data from CSV, text, and Excel
  • Converting JSON, XML, to Data frame
  • Understanding EDA
  • Frequency Distribution
  • Analyzing NA, blanks
Data Transformation/Wrangling
  • Handling missing Values
  • Handling Outliers
  • Normalization techniques
  • Standardization techniques
  • Regularization techniques
  • Feature Extraction
  • Train Test data selection
Linear Regression
  • Understanding Regression math
  • Linear Algebra concepts
  • Least Mean Square
  • Analyzing Co-relation
  • Heat Maps, Pair Plots, Distribution Graphs
  • Simple Vs Multiple Linear regression
  • Train Test data selection
Classification
  • Overfitting/ Under fitting/ Optimal Fits
  • Handling Categorical Data inside
  • Confusion Matrix
  • Type I & Type II errors
  • Precision Vs Accuracy
  • AUC/ROC curve
  • TF-IDF and its math Behind
Random Forest
  • Understanding the Decision Tree & Bagging
  • The math behind Classification and Regression in tree
  • Decision Tree concepts
  • Using Random Forest for Regression
  • K fold Cross Validation
  • Model Optimizers
  • Hyperparameter Tuning
NLP for Machine Learning Featuring
  • Label Encoding
  • One hot encoding
  • Synonym treatment
  • Stemming
  • Lemmatization
  • Stop words
  • Parts Of Speech Tagging
Gradient Boosting Machine & Xgboost
  • Understanding the Boosting Concept
  • Hyper plane and Kernel
  • Learning Rate
  • Model Optimizers
  • Hyper parameter Tuning
  • Real-time Practicals
  • Introduction to Pyinstaller
Keras Tensor flow – MLP Deep Learning
  • Understanding Deep learning
  • MLP Vs other Deep Learning
  • How Neural Network works & Architecture
  • Activation functions.
  • Model Optimizers
  • Hyperparameter Tuning
  • Best Practice and when to use DL
Sampling & Dimension Reduction
  • Introduction to Sampling
  • Over-sampling and Undersampling
  • SMOTE/SMOTENC & Near Miss
  • Pros and Cons of sampling
  • Introduction to DR
  • PCA & its code
  • Deployment of Model to Production

Module 1

Introduction to Data Science
  • The market trend of Data Science
  • Opportunities for Data Science
  • What is the need for Data Scientists
  • What is Data Science
  • Data Science Venn Diagram
  • Data Science Use cases

Module 2

Data and Tools
  • What is Business Intelligence?
  • What is ETL?
  • Layers of a Data Warehouse
  • OLAP VS OLTP
  • Facts and Dimensions
  • Big Data tools and it’s uses
  • Big Data stack

Module 3

Data Science- Deep dive
  • Understanding Descriptive vs Predictive vs Prescriptive Analytics
  • Difference between Analytics vs. Analysis
  • Data Science Project Lifecycle
  • Technology Stack Involved in the Lifecycle
  • Machine Learning tools
  • Development tools

Module 4

Statistics & Probability
  • What is Statistics
  • Sample Vs Population
  • The measure of Central vs Dispersion
  • Frequency Distribution
  • Cumulative Frequency Distribution
  • Mean, Median, Mode
  • Quartiles/Percentile

Module 5

Setup
  • Anaconda & Python
  • Understanding Jupyter Notebooks
  • Python Package Installation
  • Tableau Installation
  • Oracle Database & Server

Module 6

Data Sourcing, Exploratory Data Analysis & Readiness
  • Concept of List, Data frame, Dictionary
  • Connecting to Databases using Python
  • Importing data from CSV, text, and Excel
  • Converting JSON, XML, to Data frame
  • Understanding EDA
  • Frequency Distribution
  • Analyzing NA, blanks
  • Using SQL concepts inside Python

Module 7

Data Transformation/Wrangling
  • Handling missing Values
  • Handling Outliers
  • Normalization techniques
  • Standardization techniques
  • Regularization techniques
  • Feature Extraction
  • Train Test data selection

Module 8

Data Transformation/Wrangling
  • Understanding Regression math
  • Linear Algebra concepts
  • Least Mean Square
  • Analyzing Co-relation
  • Heat Maps, Pair Plots, Distribution Graphs
  • Simple Vs Multiple Linear regression
  • Train Test data selection

Module 9

Classification
  • Overfitting/ Under fitting/ Optimal Fits
  • Handling Categorical Data inside
  • Confusion Matrix
  • Type I & Type II errors
  • Precision Vs Accuracy
  • AUC/ROC curve

Module 10

Random Forest
  • Understanding the Decision Tree & Bagging
  • The math behind Classification and Regression in tree
  • Decision Tree concepts
  • Using Random Forest for Regression
  • K fold Cross Validation
  • Model Optimizers
  • Hyperparameter Tuning

Module 11

NLP for Machine Learning Featuring
  • Label Encoding
  • One hot encoding
  • Synonym treatment
  • Stemming
  • Lemmatization
  • Stop words
  • Parts Of Speech Tagging
  • TF-IDF and its math Behind

Module 12

Gradient Boosting Machine & Xgboost
  • Understanding the Boosting Concept
  • Hyper plane and Kernel
  • Learning Rate
  • Model Optimizers
  • Hyper parameter Tuning
  • Real-time Practicals

Module 13

Keras Tensor flow – MLP Deep Learning
  • Understanding Deep learning
  • MLP Vs other Deep Learning
  • How Neural Network works & Architecture
  • Activation functions.
  • Model Optimizers
  • Hyperparameter Tuning
  • Best Practice and when to use DL

Module 14

Sampling & Dimension Reduction
  • Introduction to Sampling
  • Over-sampling and Undersampling
  • SMOTE/SMOTENC & Near Miss
  • Pros and Cons of sampling
  • Introduction to DR
  • PCA & its code
  • CHAPTER 23: Deployment of Model to Production
  • Introduction to Pyinstaller

Module 15

Tableau Basics
  • Introduction to Tableau
  • Data sources
  • Exploratory Data Analysis
  • Clustering Analysis and Inferences using Tableau
  • Creating visualizations
  • Real-time Practicals
Certifications

Certification

Login360 provides data science certification after the successful completion of the course. With the data science certification, you can enter the IT industry with an additional qualification.

This certification will add more value to your resume, which will help you to access your desired job positions. It shows that the aspirant has the core knowledge of data science to enter the industry. You are provided with videos, PPTs, assignments, and other practical activities.

You Can get this certification within three months, and this certification course is designed for freshers and working professionals.

Related Courses:

Testimonials

MALAVIKA THANGAVEL

Data Scientist

Very good institute with excellent faculty. I have joined for Data science. My trainer explained everything from Basics and helped us to understand different methods to make it easy. He teaches data science with Python. I prefer others to take training in data science with Login360. He is also an expert in Soft Skills, Interview Preparation, Support, etc.

Harish Venkat

Data Analyst

It was a wonderful experience pursuing the Data science course in Chennai at Login360. Got to learn new things. Everyone was so supportive. My trainer is so friendly. His teaching is very good and he gave real simple examples for every concept that helps us to understand concepts in a better way! He is very good at explaining things and he has very good knowledge about the concept. He cleared every doubt and every concept in data science.

Mahendran S

Selenium Tester

Login360 is a best place to learn everyone to easily join and grow his career for a middle-class person because so many of them do have that amount to pay for other institutions. He will take a small amount 4000 internet and electricity charges for a student to study on login360 and he gave a placement opportunity for her student

divya senthilnathan

Digital Marketeer

Login360 is not only the best software training institute in Chennai but also the best software training institute in India. Here all faculties are very good and well experienced in their respective fields. They always worry about how the students will learn and understand the subject easily. Their teaching procedure and subject explanation are great.

Abarna Kumar

Software Tester

The teaching method is very good and we learn practically. faculty give equal importance to each student in the class. Until we clearly understand the concept they will not move to the next concept which is good for students. Sir supports us to do projects and provides job assistance until we get a job. Thank you sir I learned so much in Login360.
 

Logiya Sunder

Java Developer

Hi… I’m learning Java from the login360 Software Training Institute in Chennai. The trainers are very good, teaching simply and easily. Even if we have any doubts, the trainer clears our doubts at any time, even at night. It is one of the reasons for a 5-star rating. thank you login 360…
 

Frequently Asked Questions

Is Data Science easy for Beginners?

The student with basic knowledge of math and statistics has an advantage in learning data science. If you are interested in learning data science skills, it’s easy for beginners.

How long does it take to learn a data science course in login360?

The Login360 training institute will take only 30-35 hours to learn the Data Science course. However, duration may depend on your learning ability. If you’re a slow learner, it may take more than the course duration.

Is Data Science a stressful job?

The data science career involves algorithms, scientific methods, and analysis, so it’s pretty stressful to handle. This career is great for the person who enjoys doing these processes.

Why should I learn a data science course in Login360?

Login360 offers the best coaching for data science courses in Chennai.

  • Real-time working professionals as trainers
  • Updated syllabus
  • Best coaching methods & techniques
  • Online & classroom training
  • Weekdays & Weekend training
  • Limited students per batch
  • 100% placement assistance
  • Mock interviews
  • Resume buildups and more.

    • What various training methods does login360 offer?

    Login360 provides many suitable modes of training to the student like:

  • Classroom training program
  • Online training program
  • One-to-one training program
  • Fast-track training program
  • Customized training program

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