Data Science Training

Best Data Science Training in Chennai

TROY INFOTECH Chennai offers the best Data Science training in Chennai. With experienced Data Science trainers our training institute is helping the students to learn Data Science by making it a lightweight to the corporate standards so that the students become well prepared for the goal. TROY INFOTECH, the best Data Science Training institute in Chennai helps the students to learn Data Science with the help of real-time projects. It is one of the most credible Data Science Training Institute offering hands on practical knowledge & full time job assistance with both basic and advanced training courses in the top most MNC companies.



At TROY INFOTECH, we help students to understand the fundamental and advanced concept of Data Science & help them to achieve a successful career. We have successfully trained thousands of students in Chennai for Data Science. At TROY INFOTECH, Data Science Training in Chennai is conducted by professionals with more than 10 years of experience in managing real time Data Science projects. TROY INFOTECH offers Data Science course in various different modes of training like Data Science Online Training, Classroom Training, Data Science Corporate Training, Fast Track Training and one-to-one training. Our experienced professionals have designed our Data science Training syllabus to match with the real world requirements & leading Industry standards.

TROY INFOTECH implements a sweet blend of a Data Science learning program with practical sessions to give our students an optimum exposure that actually aids in the transformation of students into professionals. With world-class infrastructure and latest facilities, we are the best institute providing the Data Science Training course in Chennai. We prepare thousands of students for the Data Science Classes in Chennai with less fees that is designed as per the student needs.



Our Data Science Training in Chennai course syllabus includes topics like Introduction to Data Science, Graphical representation of data: histograms, box plot, bar chart, Simple Linear Regression and Multiple Linear Regression, Generalized Regression Models, Imputation Techniques (missing value analysis), Forecasting, Data Mining, Text mining, Data Science training in Chennai on real time projects along with Data Science Placement Training in Chennai. We are the top-ranked training institute in providing the best Data Science training in Chennai with placement assistance for students. Our professionals will help student to develop the ability of current industry norms and standards to get the success for getting their dream job.

Our main motto is to focus on creating a learning environment with comparatively less fees, tough well-defined course structures, well equipped Training labs with world-class infrastructure that overall helps student for a better learning. TROY INFOTECH is the leading training institute in placing students in the top MNCs.


Course Description

Troy Infotech’s Data Scientist training Course will prepare you for the job role of a data scientist and will help you in gaining the data scientist skillset by learning data science using analytical tools like Python and R.



This data scientist course will help you master in analytical techniques like data exploration, data visualization and various predictive analytic techniques by implementing real-life, industry-oriented data science projects using Python data science programming language.



This data science course by Troy Infotech will also help you in gaining expertise about various popular machine learning algorithms which includes topics like K-mean Clustering, Gradient Boosting, Boosted Trees, Decision Trees, Random Forest, and Naive Bayes using Python programming language. This data science specialization course is mainly suited for beginners and also experienced professionals who would like to use Python for doing data science.


Course Objective

The main learning objectives of this Data Science course by Troy Infotech are as follows:

Introduction to Data Science in real world, Project Life cycle with Data Acquisition
Understanding Machine Learning Algorithms
Studying the tools and techniques of Experimentation, Evaluation and Project Deployment
Learning the concept of Prediction and Analysis Segmentation through Clustering
Learning the basics of Big Data and ways to integrate R with Hadoop
Get to know about the roles and responsibilities of a Data Scientist
Exploring the steps to install IMPALA
Working on Live Projects on Data science, analytics and Recommender Systems
Working on data mining, data structures, data manipulation

Data Science Training In Chennai Course Syllabus:

Introduction to Python Programming

  • Introduction to Data Science
  • Introduction to Python
  • Basic Operations in Python
  • Variable Assignment
  • Functions: in-built functions, user defined functions
  • Condition: if, if-else, nested if-else, else-if

Introduction to Data Science with R

  • What is Data Science
  • Significance of Data Science in today’s digitally-driven world
  • Applications of Data Science
  • Lifecycle of Data Science
  • Components of the Data Science lifecycle
  • Introduction to big data and Hadoop
  • Introduction to Machine Learning and Deep Learning
  • Introduction to R programming and R Studio
  • Installation of R Studio
  • Implementing simple mathematical operations and logic using R operators
  • Loops
  • If statements and switch cases

Data Structure – Introduction

  • List: Different Data Types in a List, List in a List
  • Operations on a list: Slicing, Splicing, Sub-setting
  • Condition(true/false) on a List
  • Applying functions on a List
  • Dictionary: Index, Value
  • Operation on a Dictionary: Slicing, Splicing, Sub-setting
  • Condition(true/false) on a Dictionary
  • Applying functions on a Dictionary
  • Numpy Array: Data Types in an Array, Dimensions of an Array
  • Operations on Array: Slicing, Splicing, Sub-setting
  • Conditional(T/F) on an Array
  • Loops: For, While
  • Shorthand for For
  • Conditions in shorthand for For

Basics of Statistics

  • Statistics & Plotting
  • Seabourn & Matplotlib – Introduction
  • Univariate Analysis on a Data
  • Plot the Data – Histogram plot
  • Find the distribution
  • Find mean, median and mode of the Data
  • Take multiple data with same mean but different sd, same mean and sd but different kurtosis: find mean, sd, plot
  • Multiple data with different distributions
  • Bootstrapping and sub-setting
  • Making samples from the Data
  • Making stratified samples – covered in bivariate analysis
  • Find the mean of sample
  • Central limit theorem
  • Plotting
  • Hypothesis testing + DOE
  • Bivariate analysis
  • Correlation
  • Scatter plots
  • Making stratified samples
  • Categorical variables
  • Class variable

Use of Pandas

  • File I/O
  • Series: Data Types in series, Index
  • Data Frame
  • Series to Data Frame
  • Re-indexing
  • Operations on Data Frame: Slicing, Splicing (also Alternate), Sub-setting
  • Pandas
  • Stat operations on Data Frame
  • Reading from different sources
  • Missing data treatment
  • Merge, join
  • Options for look and feel of data frame
  • Writing to file
  • db operation

Data Manipulation & Visualization

  • Data Aggregation, Filtering and Transforming
  • Lamda Functions
  • Apply, Group-by
  • Map, Filter and Reduce
  • Visualization
  • Matplotlib, pyplot
  • Seaborn
  • Scatter plot, histogram, density, heat-map, bar charts

Linear Regression

  • Regression – Introduction
  • Linear Regression: Lasso, Ridge
  • Variable Selection
  • Forward & Backward Regression

Logistic Regression

  • Logistic Regression: Lasso, Ridge
  • Naive Bayes

Unsupervised Learning

  • Unsupervised Learning – Introduction
  • Distance Concepts
  • Classification
  • k nearest
  • Clustering
  • k means
  • Multidimensional Scaling
  • PCA

Random Forest

  • Decision trees
  • Cart C4.5
  • Random Forest
  • Boosted Trees
  • Gradient Boosting


  • SVM – Introduction
  • Hyper-plane
  • Hyper-plane to segregate to classes
  • Gamma


Take A Look At Our Data Science Training Course

Real-Time Practical Training

You will get the real-time project experience on our training. We provide more practical training classes preferred by the candidates. Our practical oriented training will inspire all the participants.

Assured Placement Assistance

We are the pioneer in providing the assured placement assistance for the participants after their course completion.

Certified Trainers

Learning made easy by our certified trainers who fulfills the needs of the candidates in that particular course. Your knowledge will be transformed into expertise level by our trainers.

Internship Training

We provide internship training effectively for our participants which are highly helpful for their professional career.

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Related Courses

Frequently Asked Questions

Who can attend this Data Science Training Course?

The following can attend this Data Science course:

  • Big data professionals
  • Business intelligence and Business analyst professionals
  • Information architects
  • Statisticians
  • Developers who are looking to master machine learning and predictive analytics
  • Those who are looking to take up the roles of Data Scientist &Machine Learning Expert

Why this Data Science Course ?

  • Data Scientist is the best job of the 21st century given by Harvard Business Review.
  • The demand for data scientists far outstrips the supply of Data Scientists. So, Most of the organizations are ready to pay top dollar salaries for professionals with the right Data Science skills.
  • This data science course mainly provides you with all the skills needed to master Data Science along with Big Data, Data Analytics, R programming. All this means you can fast-track your career to take the topmost promising job roles and take your career to the next level.

What will you learn?

You will learn & become expert in the following concepts:

  • Data Science introduction and its importance
  • Data acquisition with Data Science lifecycle
  • Experimentation, evaluation including project deployment tools
  • Different algorithms which is used in Machine Learning
  • Predictive analytics, segmentation by using clustering
  • Big Data fundamentals including Hadoop integration with R
  • Data Scientist roles and its responsibilities
  • Deployment of recommender systems on real world data sets
  • Working on data mining, data structures, data manipulation

Career Opportunities :

The following are the job opportunities you will get:

  • Data Scientist
  • Lead Data Scientist
  • Data Scientist – Artificial Intelligence/machine Learning
  • Data Scientist / Machine Learning Engineers
  • Data Scientist – Machine Learning/deep Learning
  • Data Science
  • Data Analyst / Data Scientist

Course Pre-requisites :

There are no particular prerequisites for this Data Science Training Course. If you love mathematics, it is very helpful to learn Data Science. You will also get MS Excel self-paced course with this training course.

TROY Course Duration For Data Science Training In Chennai

  • Fast Track Training Program (6+ hours daily)
  • Regular Classes (Morning, Day time & Evening)
  • Weekend Training Classes (Saturday, Sunday & Holidays)

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