DATA SCIENCE CERTIFICATION AUTHORITIES

Data Science Course Features

DATA SCIENCE COURSE LEAD MENTORS

DATA SCIENCE COURSE FEE IN CHENNAI

Live Virtual

Instructor Led Live Online

110,000
72,345

  • IABAC® & NASSCOM® Certification
  • 8-Month | 700 Learning Hours
  • 120-Hour Live Online Training
  • 25 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

66,000
43,995

  • Self Learning + Live Mentoring
  • IABAC® & NASSCOM® Certification
  • 1 Year Access To Elearning
  • 25 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Leaner assistance and support

Classroom

In - Person Classroom Training

110,000
82,845

  • IABAC® & NASSCOM® Certification
  • 8-Month | 700 Learning Hours
  • 120-Hour Classroom Sessions
  • 25 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance

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UPCOMING DATA SCIENCE ONLINE CLASSES IN CHENNAI

UPCOMING DATA SCIENCE CLASSROOM CLASSES IN CHENNAI

BEST DATA SCIENCE CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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WHY DATAMITES INSTITUTE FOR DATA SCIENCE COURSE

Why DataMites Infographic

SYLLABUS OF DATA SCIENCE COURSE IN CHENNAI

MODULE 1: DATA SCIENCE COURSE INTRODUCTION 

  • CDS Course Introduction
  • 3 Phase Learning
  • Learning Resources
  • Assessments & Certification Exams
  • DataMites Mobile App
  • Support Channels

MODULE 2: DATA SCIENCE ESSENTIALS 

  • Introduction to Data Science
  • Evolution of Data Science
  • Data Science Terminologies
  • Data Science vs AI/Machine Learning
  • Data Science vs Analytics

MODULE 3: DATA SCIENCE DEMO 

  • Business Requirement: Use Case
  • Data Preparation
  • Machine learning Model building
  • Prediction with ML model
  • Delivering Business Value

MODULE 4: ANALYTICS CLASSIFICATION 

  • Types of Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics

MODULE 5: DATA SCIENCE AND RELATED FIELDS

  • Introduction to AI
  • Introduction to Computer Vision
  • Introduction to Natural Language Processing
  • Introduction to Reinforcement Learning
  • Introduction to GAN
  • Introduction to  Generative Passive Models

MODULE 6: DATA SCIENCE ROLES & WORKFLOW

  • Data Science Project workflow
  • Roles: Data Engineer, Data Scientist, ML Engineer and MLOps Engineer
  • Data Science Project stages

MODULE 7: MACHINE LEARNING INTRODUCTION

  • What Is ML? ML Vs AI
  • ML Workflow, Popular ML Algorithms
  • Clustering, Classification And Regression
  • Supervised Vs Unsupervised

MODULE 8: DATA SCIENCE INDUSTRY APPLICATIONS 

  • Data Science in Finance and Banking
  • Data Science in Retail
  • Data Science in Health Care
  • Data Science in Logistics and Supply Chain
  • Data Science in Technology Industry
  • Data Science in Manufacturing
  • Data Science in Agriculture

MODULE 1: PYTHON BASICS 

  • Introduction of python
  • Installation of Python and IDE
  • Python objects
  • Python basic data types
  • Number & Booleans, strings
  • Arithmetic Operators
  • Comparison Operators
  • Assignment Operators
  • Operator’s precedence and associativity

MODULE 2: PYTHON CONTROL STATEMENTS 

  • IF Conditional statement
  • IF-ELSE • NESTED IF
  • Python Loops basics
  • WHILE Statement
  • FOR statements
  • BREAK and CONTINUE statements

MODULE 3: PYTHON DATA STRUCTURES 

  • Basic data structure in python
  • String object basics and inbuilt methods
  • List: Object, methods, comprehensions
  • Tuple: Object, methods, comprehensions
  • Sets: Object, methods, comprehensions
  • Dictionary: Object, methods, comprehensions

MODULE 4: PYTHON FUNCTIONS 

  • Functions basics
  • Function Parameter passing
  • Iterators
  • Generator functions
  • Lambda functions
  • Map, reduce, filter functions

MODULE 5: PYTHON NUMPY PACKAGE 

  • NumPy Introduction
  • Array – Data Structure
  • Core Numpy functions
  • Matrix Operations

MODULE 6: PYTHON PANDASPACKAGE

  • Pandasfunctions
  • Data Frame and Series – Data Structure
  • Data munging with Pandas
  • Imputation and outlier analysis

 

MODULE 1: OVERVIEW OF STATISTICS 

  • Descriptive And Inferential Statistics
  • Basic Terms Of Statistics
  • Types Of Data

MODULE 2: HARNESSING DATA 

  • Random Sampling
  • Sampling With Replacement And Without Replacement
  • Cochran's  Minimum Sample Size
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Random Sampling
  • Systematic Random Sampling
  • Biased Random Sampling Methods
  • Sampling Error
  • Methods Of Collecting Data

MODULE 3: EXPLORATORY DATA ANALYSIS 

  • Exploratory Data Analysis Introduction
  • Measures Of Central Tendencies: Mean, Median And Mode
  • Measures Of Central Tendencies: Range, Variance And Standard Deviation
  • Data Distribution Plot: Histogram
  • Normal Distribution
  • Z Value / Standard Value
  • Empherical Rule  and Outliers
  • Central Limit Theorem
  • Normality Testing
  • Skewness & Kurtosis
  • Measures Of Distance: Euclidean, Manhattan And MinkowskiDistance

MODULE 4: HYPOTHESIS TESTING 

  • Hypothesis Testing Introduction
  • P- Value, Confidence Interval
  • Parametric Hypothesis Testing Methods
  • Hypothesis Testing Errors : Type I And Type Ii
  • One Sample T-test
  • Two Sample Independent T-test
  • Two Sample Relation T-test
  • One Way Anova Test

MODULE 5: CORRELATION AND REGRESSION 

  • Correlation Introduction
  • Direct/Positive Correlation
  • Indirect/Negative Correlation
  • Regression
  • Choosing Right Method

 

MODULE 1: MACHINE LEARNING INTRODUCTION 

  • What Is ML? ML Vs AI
  • ML Workflow, Popular ML Algorithms
  • Clustering, Classification And Regression
  • Supervised Vs Unsupervised

MODULE 2: PYTHON NUMPY & PANDAS PACKAGE 

  • NumPy & Pandas functions
  • Array – Data Structure
  • Core Numpy functions
  • Matrix Operations
  • Data Frame and Series – Data Structure
  • Data munging with Pandas
  • Imputation and outlier analysis

MODULE 3: VISUALIZATION WITH PYTHON 

  • Visualization Packages (Matplotlib)
  • Components Of A Plot, Sub-Plots
  • Basic Plots: Line, Bar, Pie, Scatter
  • Advanced Python Data Visualizations

MODULE 4: ML ALGO: LINEAR REGRESSION

  • Introduction to Linear Regression
  • How it works: Regression and Best Fit Line
  • Modeling and Evaluation in Python

MODULE 5: ML ALGO: KNN 

  • Introduction to KNN
  • How It Works: Nearest Neighbor Concept
  • Modeling and Evaluation in Python

MODULE 6: ML ALGO: LOGISTIC REGRESSION 

  • Introduction to Logistic Regression
  • How it works: Classification & Sigmoid Curve
  • Modeling and Evaluation in Python

MODULE 7: PRINCIPLE COMPONENT ANALYSIS (PCA) 

  • Building Blocks Of PCA
  • How it works: Finding Principal Components
  • Modeling PCA in Python

MODULE 8: ML ALGO: K MEANS CLUSTERING 

  • Understanding Clustering (Unsupervised)
  • K Means Algorithm
  • How it works: K Means theory
  • Modeling in Python

MODULE 1: MACHINE LEARNING INTRODUCTION 

  • What Is ML? ML Vs AI
  • ML Workflow, Popular ML Algorithms
  • Clustering, Classification And Regression
  • Supervised Vs Unsupervised

MODULE 2: ML ALGO: LINEAR REGRESSSION 

  • Introduction to Linear Regression
  • How it works: Regression and Best Fit Line
  • Modeling and Evaluation in Python

MODULE 3: ML ALGO: LOGISTIC REGRESSION 

  • Introduction to Logistic Regression
  • How it works: Classification & Sigmoid Curve
  • Modeling and Evaluation in Python

MODULE 4: ML ALGO: KNN 

  • Introduction to KNN
  • How It Works: Nearest Neighbor Concept
  • Modeling and Evaluation in Python

MODULE 5: ML ALGO: K MEANS CLUSTERING 

  • Understanding Clustering (Unsupervised)
  • K Means Algorithm
  • How it works : K Means theory
  • Modeling in Python

MODULE 6: PRINCIPLE COMPONENT ANALYSIS (PCA) 

  • Building Blocks Of PCA
  • How it works: Finding Principal Components
  • Modeling PCA in Python

MODULE 7: ML ALGO: DECISION TREE 

  • Random Forest Ensemble technique
  • How it works: Bagging Theory
  • Modeling and Evaluation in Python

MODULE 8 : ML ALGO: NAÏVE BAYES 

  • Introduction to Naive Bayes
  • How it works: Bayes' Theorem
  • Naive Bayes For Text Classification
  • Modeling and Evaluation in Python

MODULE 9: GRADIENT BOOSTING, XGBOOST 

  • Introduction to Boosting and XGBoost
  • How it works: weak learners' concept
  • Modeling and Evaluation of in Python

MODULE 10: ML ALGO: SUPPORT VECTOR MACHINE  (SVM) 

  • Introduction to SVM
  • How It Works: SVM Concept, Kernel Trick
  • Modeling and Evaluation of SVM in Python

MODULE 11: ARTIFICIAL NEURAL NETWORK (ANN) 

  • Introduction to ANN
  • How It Works: Back prop, Gradient Descent
  • Modeling and Evaluation of ANN in Python

MODULE 12: ADVANCED ML CONCEPTS 

  • Adv Metrics (Roc_Auc, R2, Precision, Recall)
  • K-Fold Cross-validation
  • Grid And Randomized Search CV In Sklearn
  • Imbalanced Data Set: Smote Technique
  • Feature Selection Techniques

MODULE 1: TIME SERIES FORECASTING - ARIMA 

  • What is Time Series?
  • Trend, Seasonality, cyclical and random
  • Autoregressive Model (AR)
  • Moving Average Model (MA)
  • Stationarity of Time Series
  • ARIMA Model
  • Autocorrelation and AIC 

MODULE 2: FEATURE ENGINEERING 

  • Introduction to Features Engineering
  • Transforming Predictors
  • Feature Selection methods
  • Backward elimination technique
  • Feature importance from ML modeling

MODULE 3: SENTIMENT ANALYSIS 

  • Introduction to Sentiment Analysis
  • Python packages: TextBlob, NLTK
  • Case study: Twitter Live Sentiment Analysis

MODULE 4: REGULAR EXPRESSIONS WITH PYTHON 

  • Regex Introduction
  • Regex codes
  • Text extraction with Python Regex

MODULE 5: ML MODEL DEPLOYMENT WITH FLASK

  • Introduction to Flask
  • URL and App routing
  • Flask application – ML Model deployment

MODULE 6: ADVANCED DATA ANALYSIS WITH MS EXCEL 

  • MS Excel core Functions
  • Pivot Table
  • Advanced Functions (VLOOKUP, INDIRECT..)
  • Linear Regression with EXCEL
  • Goal Seek Analysis
  • Data Table
  • Solving Data Equation with EXCEL
  • Monte Carlo Simulation with MS EXCEL

MODULE 7: AWS CLOUD FOR DATA SCIENCE

  • Introduction of cloud
  • Difference between GCC, Azure,AWS
  • AWS Service ( EC2 and S3 service)
  • AWS Service (AMI), AWS Service (RDS)
  • AWS Service (IAM), AWS (Athena service)
  • AWS (EMR), AWS, AWS (Redshift)
  • ML Modeling with AWS Sage Maker 

MODULE 8: AZURE FOR DATA SCIENCE 

  • Introduction to AZURE ML studio
  • Data Pipeline and ML modeling with Azure

MODULE 1: DATABASE INTRODUCTION 

  • DATABASE Overview
  • Key concepts of database management
  • CRUD Operations
  • Relational Database Management System
  • RDBMS vs No-SQL (Document DB)

MODULE 2: SQL BASICS 

  • Introduction to Databases
  • Introduction to SQL
  • SQL Commands
  • MY SQL  workbench installation
  • Comments
  • import and export dataset

MODULE 3: DATA TYPES AND CONSTRAINTS 

  • Numeric, Character, date time data type
  • Primary key, Foreign key, Not null
  • Unique, Check, default, Auto increment

MODULE 4: DATABASES AND TABLES (MySQL) 

  • Create database
  • Delete database
  • Show and use databases
  • Create table, Rename table
  • Delete table, Delete  table records
  • Create new table from existing data types
  • Insert into, Update records
  • Alter table

MODULE 5: SQL JOINS 

  • Inner join
  • Outer join
  • Left join
  • Right join
  • Cross join
  • Self join

MODULE 6: SQL COMMANDS AND CLAUSES 

  • Select, Select distinct
  • Aliases, Where clause
  • Relational operators, Logical
  • Between, Order by, In
  • Like, Limit, null/not null, group by
  • Having, Sub queries

MODULE 7 : DOCUMENT DB/NO-SQL DB 

  • Introduction of Document DB
  • Document DB vs SQL DB
  • Popular Document DBs
  • MongoDB basics
  • Data format and Key methods
  • MongoDB data management

MODULE 1: GIT  INTRODUCTION 

  • Purpose of Version Control
  • Popular Version control tools
  • Git Distribution Version Control
  • Terminologies
  • Git Workflow
  • Git Architecture

MODULE 2: GIT REPOSITORY and GitHub 

  • Git Repo Introduction
  • Create New Repo with Init command
  • Copying existing repo
  • Git user and remote node
  • Git Status and rebase
  • Review Repo History
  • GitHub Cloud Remote Repo

MODULE 3: COMMITS, PULL, FETCH AND PUSH 

  • Code commits
  • Pull, Fetch and conflicts resolution
  • Pushing to Remote Repo

MODULE 4: TAGGING, BRANCHING AND MERGING 

  • Organize code with branches
  • Checkout branch
  • Merge branches

MODULE 5: UNDOING CHANGES 

  • Editing Commits
  • Commit command Amend flag
  • Git reset and revert

MODULE 6: GIT WITH GITHUB AND BITBUCKET 

  • Creating GitHub Account
  • Local and Remote Repo
  • Collaborating with other developers
  • Bitbucket Git account

MODULE 1: BIG DATA INTRODUCTION 

  • Big Data Overview
  • Five Vs of Big Data
  • What is Big Data and Hadoop
  • Introduction to Hadoop
  • Components of Hadoop Ecosystem
  • Big Data Analytics Introduction

MODULE 2 : HDFS AND MAP REDUCE 

  • HDFS – Big Data Storage
  • Distributed Processing with Map Reduce
  • Mapping and reducing  stages concepts
  • Key Terms: Output Format, Partitioners, Combiners, Shuffle, and Sort
  • Hands-on Map Reduce task

MODULE 3: PYSPARK FOUNDATION 

  • PySpark Introduction
  • Spark Configuration
  • Resilient distributed datasets (RDD)
  • Working with RDDs in PySpark
  • Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE 

  • Introducing Spark SQL
  • Spark SQL vs Hadoop Hive
  • Working with Spark SQL Query Language

MODULE 5 : MACHINE LEARNING WITH SPARK ML 

  • Introduction to MLlib Various ML algorithms supported by MLib
  • ML model with Spark ML
  • Linear regression
  • logistic regression
  • Random forest

MODULE 6: KAFKA and Spark 

  • Kafka architecture
  • Kafka workflow
  • Configuring Kafka cluster
  • Operations

MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION 

  • What Is Business Intelligence (BI)?
  • What Bi Is The Core Of Business Decisions?
  • BI Evolution
  • Business Intelligence Vs Business Analytics
  • Data Driven Decisions With Bi Tools
  • The Crisp-Dm Methodology

MODULE 2: BI WITH TABLEAU: INTRODUCTION

  • The Tableau Interface
  • Tableau Workbook, Sheets And Dashboards
  • Filter Shelf, Rows And Columns
  • Dimensions And Measures
  • Distributing And Publishing

MODULE 3 : TABLEAU: CONNECTING TO DATA SOURCE 

  • Connecting To Data File , Database Servers
  • Managing Fields
  • Managing Extracts
  • Saving And Publishing Data Sources
  • Data Prep With Text And Excel Files
  • Join Types With Union
  • Cross-Database Joins
  • Data Blending
  • Connecting To Pdfs

MODULE 4: TABLEAU : BUSINESS INSIGHTS 

  • Getting Started With Visual Analytics
  • Drill Down And Hierarchies
  • Sorting & Grouping
  • Creating And Working Sets
  • Using The Filter Shelf
  • Interactive Filters
  • Parameters
  • The Formatting Pane
  • Trend Lines & Reference Lines
  • Forecasting
  • Clustering

MODULE 5: DASHBOARDS, STORIES AND PAGES 

  • Dashboards And Stories Introduction
  • Building A Dashboard
  • Dashboard Objects
  • Dashboard Formatting
  • Dashboard Interactivity Using Actions
  • Story Points
  • Animation With Pages

MODULE 6: BI WITH POWER-BI 

  • Power BI basics
  • Basics Visualizations
  • Business Insights with Power BI

OFFERED DATA SCIENCE COURSES IN CHENNAI

DATA SCIENCE COURSE REVIEWS

ABOUT DATA SCIENTIST TRAINING IN CHENNAI

Data science is changing technology and business worldwide with its ability to analyze trends and predict outcomes. India's Big Data market is growing fast, expected to reach US$20 billion by 2026, and the analytics industry might hit nearly US$119 billion. There's a huge demand for data scientists in India, with around 11 million jobs predicted by 2026. To meet this need, DataMites is offering practical offline data science training in Chennai, complete with internships and job placement, preparing a new generation of skilled data science professionals.

As a global institute, DataMites is renowned for its comprehensive approach to data science course in Chennai. The Certified Data Scientist Course tailored for both beginners and intermediate learners. This career-oriented program is crafted to build a robust foundation in data science, incorporating key elements like statistics, mathematics, python, and machine learning. It's designed to equip learners with comprehensive skills and knowledge, essential for excelling in the ever-evolving field of data science.

Our unique three-phase learning methodology ensures a thorough and practical understanding of data science concepts.

Phase 1: Pre-Course Self-Study

  1. Access to high-quality video content.
  2. Self-paced learning modules for foundational understanding.

Phase 2: Interactive Training

  1. Flexible options of live online data science training in Chennai or data science classroom training in Chennai and prominent cities of Vadapalani, Perungudi, and Guindy.
  2. Intensive 20-hour weekly sessions over a three-month duration.
  3. Comprehensive syllabus covering current industry demands.
  4. Hands-on projects for real-world application.
  5. Guidance from seasoned trainers and industry experts.

Phase 3: Internship + Placement Assistance

  1. Hands-on experience with 20 Capstone Projects, a client project, and valuable data science internship certification. 
  2. The dedicated Placement Assistance Team (PAT) in our data science training program in Chennai provides comprehensive career guidance and support, ensuring a smooth transition into AI careers. Our data science training with placement includes a job-ready component that focuses on practical proficiency, making sure that you are well-prepared for your career in data science

DataMites - Other Data Science Certifications in Chennai
Our best data science certifications are designed to cater to a range of professionals:

Statistics for Data Science: Focusing on the statistical methods and tools essential for data analysis in the field of Data Science.

Data Science for Managers: Tailored for managerial roles, this course covers the strategic aspects of implementing Data Science in business decisions.

Python for Data Science: Concentrates on using Python, a key programming language, for various Data Science applications.

Data Science Foundation: A comprehensive introductory course that lays the groundwork for fundamental concepts in Data Science.

Data Science in Marketing: Specialized training in applying Data Science techniques within the marketing sector for strategic insights and decision-making.

Data Science with R: Designed to master the use of R in data analysis and statistical modeling, essential for effective data science applications. 

Data Science in Operations: Learn how to harness the power of data science to optimize operational processes, streamline supply chains, and enhance efficiency in various industries.

Data Science in Finance: Dive into the world of financial data analysis and risk management, equipping yourself with the skills to make informed decisions and drive financial success.

Data Science in HR: Explore the intersection of data science and human resources, enabling you to leverage data-driven insights for talent management and workforce optimization.

Data Science Associate: Acquire a foundational understanding of data science concepts, methods, and tools, preparing you for entry-level roles in data analysis and interpretation.

Diploma in Data Science: Develop a comprehensive skill set in data science, covering data analysis, machine learning, and data visualization, positioning yourself as a proficient data scientist ready to tackle complex challenges.

DataMites Data Science Course Syllabus

DataMites' Certified Data Scientist Course in Chennai offers a comprehensive curriculum, meticulously designed to encompass a wide range of topics within the field. This extensive program is delivered through a bundle of 9 modules, each focusing on a different aspect of data science to provide a holistic learning experience. 

Python Foundation

Python Basics
Python Control Statements
Python Data Structures
Python Functions
Python Numpy Package
Python Pandas Package

Data Science Foundations

Data Science Essentials
Data Engineering Foundation
Python For Data Science
Visualization With Python
R Language Essentials
Statistics
Machine Learning Introduction

Machine Learning Expert

Machine Learning Introduction
ML Algo: Linear Regresssion
ML Algo: Logistic Regression
ML Algo: Knn
ML Algo: K Means Clustering
Principle Component Analysis (Pca)
ML Algo: Decision Tree
ML Algo: Naïve Bayes
Gradient Boosting, Xgboost
ML Algo: Support Vector Machine  (Svm)
Artificial Neural Network (Ann)
Advanced ML Concepts

Advanced Data Science

Time Series Forecasting -Arima
Feature Engineering
Sentiment Analysis
Regular Expressions With Python
ML Model Deployment With Flask
Advanced Data Analysis With Ms Excel
Aws Cloud For Data Science
Azure For Data Science

Version Control With Git

Git  Introduction
Git Repository And Github
Commits, Pull, Fetch And Push
Tagging, Branching And Merging
Undoing Changes
Git With Github And Bitbucket

Big Data Foundation

Big Data Introduction
Hdfs And Map Reduce
Pyspark Foundation
Spark Sql And Hadoop Hive
Machine Learning With Spark ML
Kafka And Spark

Certified BI Analyst

Business Intelligence Introduction
Bi With Tableau: Introduction
Tableau: Connecting To Data Source
Tableau : Business Insights
Dashboards, Stories And Pages
Bi With Power BI

Database: SQL And Mongodb

Database Introduction
Sql Basics
Data Types And Constraints
Databases And Tables (Mysql)
Sql Joins
Sql Commands And Clauses
Document Db/No SQL DB

Artificial Intelligence Foundation

Artificial Intelligence Overview
Deep Learning Introduction
Tensorflow Foundation
Computer Vision Introduction
Natural Language Processing (NLP)
Ai Ethical Issues And Concerns

DataMites Data Science Course Tools in Chennai

At DataMites, our Data Scientist Courses in Chennai encompass a comprehensive array of tools, ensuring a well-rounded skill set for our students. From data analysis to machine learning and visualization, we cover a wide spectrum of industry-standard data science tools essential for aspiring data scientists. These tools include:

  1. Anaconda
  2. Python
  3. Apache Pyspark
  4. Git
  5. Hadoop
  6. MongoDB
  7. Amazon SageMaker
  8. Google Bert
  9. Google Colab
  10. Advanced Excel
  11. Scikit Learn
  12. MySQL
  13. Azure Machine Learning
  14. Flask
  15. Apache Kafka
  16. GitHub
  17. Numpy
  18. TensorFlow
  19. Pandas
  20. Tableau
  21. Atlassian BitBucket
  22. Power BI
  23. Natural Language Toolkit
  24. PyCharm

Why Choose DataMites for Data Science in Chennai?

Expert-Led Curriculum: Our courses are designed and taught by industry experts, including globally reputed AI expert Ashok Veda, who brings 19 years of experience in Analytics and Data Science. This ensures that you learn from professionals with extensive real-world experience, providing valuable insights and practical knowledge in the field of data science.

Internationally Recognized Certifications: Our certifications, including prestigious ones from IABAC and NASSCOM FutureSkills, are recognized globally. They add significant value to your professional profile and enhance your employability in the international job market, demonstrating a high standard of expertise and knowledge in data science.

Cutting-Edge Learning Resources: DataMites offers access to state-of-the-art learning materials, including the latest software, data science tools, and industry case studies, keeping you abreast of current trends and practices.

Hands-On Experience: We focus on practical learning at DataMites, offering hands-on projects and case studies that reflect real-world data science challenges. Our course includes 20 capstone and 1 client project, preparing students for actual job responsibilities in data science.

Flexible Learning Options: Catering to diverse learning needs, we offer both online data science training in Chennai and data science offline training in Chennai, making it convenient for students and working professionals to balance their education with other commitments.

Importance of Data Science Course with Internship in Chennai

Data science internships in Chennai offer invaluable practical experience, bridging the gap between theoretical knowledge and real-world applications. These internships are crucial for hands-on learning and understanding industry dynamics. 

DataMites distinguishes itself by incorporating internships within our data science courses in Chennai, providing students with both theoretical knowledge and vital industry experience. This blend of academic and practical learning, enhanced with data science certification from an AI company, significantly boosts their skills and employability in Chennai's dynamic data science sector.

Importance of Data Science Course with Placements in Chennai

In Chennai's competitive job market, placement support in data science is vital for transitioning from academic to professional life. DataMites recognizes this need by offering comprehensive data science courses with placement in Chennai through our Placement Assistance Team (PAT)

Our courses include a data science job ready program, focusing not only on technical skills but also on essential soft skills training. This holistic approach ensures our graduates are fully prepared and attractive to employers in Chennai's burgeoning data science industry.

Chennai, known as the cultural heart of South India, is rapidly emerging as a pivotal player in India's IT sector. This city beautifully marries its rich heritage with modern technological advancements, making it a highly sought-after location for IT professionals and businesses. Its robust infrastructure, skilled workforce, and favorable government policies further bolster its standing as an IT hub.

Some of the prominent data science job roles in Chennai include Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Data Engineer, Statistician, Data Science Consultant, Quantitative Analyst, AI Research Scientist, and Big Data Engineer. These roles offer competitive salaries, with opportunities for specialization and career growth in Chennai's dynamic IT landscape. As the city continues to evolve as an IT hub, data science professionals can explore numerous exciting job prospects.

For data scientists, Chennai offers particularly attractive prospects. According to Glassdoor, data scientists salary in Chennai can expect an average of INR ?11,69,192. This competitive remuneration reflects the city's strong demand for data science expertise. In comparison, the overall data science landscape in India also presents promising compensation trends. The average salary for data scientists in India stands at approximately INR ?12,00,000, underscoring a nationwide appreciation and demand for professionals in this field.

Join DataMites for data science training in Chennai to embark on a transformative journey in data science. In addition to data science, we offer courses in machine learning, artificial intelligence, data analytics, Python programming, data engineering, blockchain technology, MLOps (Machine Learning Operations), and more that are designed to equip you with the skills needed to excel in this exciting field. Enroll now and be part of the data science revolution!

DESCRIPTION OF DATA SCIENCE COURSE IN CHENNAI

Data Science is the art of collecting, classifying, summarizing data sets, and deriving valuable insights from these data sets. These insights are used to take further decisions. Data Science has become instrumental in adding value to the business.

There are no mandatory prerequisites. However, basic knowledge of Statistics would be an added advantage.

  • Analytical skills

  • Basic knowledge of Mathematics and Statistics 

  • Knowledge of coding

  • Skills of working with programming languages like ‘R’ and Python.

The various business skills required, to become a Data Scientist are as follows:-

  • Industry Knowledge

  • Problem Solving Skills

  • Communication Skills 

  • Curiosity  

Industry Knowledge:- A Data Scientist should have a clear understanding of the areas that need to be paid attention and the areas that need to be ignored. This is possible only if the Data Scientist has sound knowledge of the industry.

Problem Solving Skills:- A Data Scientist is known for finding solutions to problems. For doing so, a Data Scientist must understand the problem, which can be achieved only after a deep study of the scenario.

Communication Skills:- A Data Scientist often needs to communicate the findings arrived at, with regards to analytics and business insights. A Data Scientist should be a good conversationalist.

Curiosity:- A Data Scientist should always be curious enough while approaching a problem. Finding out the root of the problem depends upon the curiosity of a Data Scientist.

As far as Data Scientist is concerned Python is the most effective programming language, with a lot of libraries available. Python can be deployed at every phase of data science functions. It is beneficial in capturing data and importing it into SQL. Python can also be used to create data sets.

Data Science is all about managing a set of information received from various sources, to arrive at conclusions. The data that is acquired needs to be analysed and decisions need to be taken. Statistics makes it easier to work on data. Various statistical techniques such as Classification, Regression, Hypothesis Testing, Time Series Analysis is used to construct data models. With the help of Statistics, a Data Scientist can gain better insights, which enables to effectively streamline the decision-making process.

  • The different roles, Data Science is subjected to, in an organisation.

  • Analysing and managing projects.

  • Employing various data models.

  • Making use of sampling techniques

  • Prediction and Analysis

  • Segmentation through clustering technique

  • Making use of Linear and Logistics regression methods

The duration of the Data Science course in Chennai is 8 months,  a total of 120 hours of training. The training sessions are provided on weekdays and weekends. You can opt between the two, as per your convenience.

The Data Science course fee in India ranges from Rs 50000 to Rs 150000. DataMites offers three modes of training in Chennai, namely Online, Classroom and Self Learning. Data Science courses in India are offered at an affordable price of Rs 88000 for Online and Classroom sessions and Self Learning at Rs 62000.

Data Science is a vast subject for study, it is a mix of Statistics and Computer Science. DataMites in Chennai, offers quality training sessions in Data Science, Artificial Intelligence, Machine Learning etc. The data science courses provided by DataMites in Chennai are exclusively designed in tune with the current industry requirements. Also with many projects to work on, under the mentoring of industry experts.

Whether you need a P.G degree to pursue a data science certification can be better understood, based on your knowledge in the Science & Technology, Engineering and Management domain. If you have a strong knowledge base in any of the mentioned areas

After completing the  Certified Data Scientist Course in Chennai, an individual will be well equipped with the following:-

  • Intense knowledge of the workflow, of a Data Science project.

  • Learn the basics of the use of Statistics in Data Science.

  • Gain knowledge of the various Machine Learning Algorithms.

  • Knowledge of Data Forecasting, Data Mining and Data Visualization.

  • Ways to deliver end to end Data Science projects.

Chennai is known is among the tech hubs of India, with lots of business opportunities and large corporate houses adorning the city. This, in turn, contributes to new employment opportunities being created. Hence opting for a Data Science course in Chennai will help an individual to leverage the available possibilities in the best manner, to land a career in Data Science.

Data Scientists have been in great demand in Chennai. As an acknowledgement to this rising demand, DataMites has come with the Certified Data Scientist course in Chennai. The course covers all the areas of Data Science, Machine Learning, basics of Mathematics and Statistics, etc. Also, the Certified Data Scientist course, covers all the practical aspects of the knowledge required to become a Data Scientist.

Chennai, is one of the tech hubs of India, with lots of business opportunities. It consists of many large companies, business houses, with large amounts of transactions happening every day, as a result of which there is an equally large amount of data generated daily. Also, India is known for many recognised universities. Learning Data Science in India will be a great opportunity for students as well as professionals. Graduates freshers and employees working in organisations can leverage these opportunities to easily land a Data Science job.

Chennai has several large companies, Banking and Financial institutions, Insurance companies, Automobile companies, Manufacturing enterprises, as a result, Chennai happens to be the most sought after city when it comes to career opportunities in Data Science.

Chennai is a city that is always bustling with business activities, financial transactions happening in huge volumes. Hence it serves to be a great opportunity for starting a Data Science Career in Chennai.

As per the reports published by Indeed.com, the average salary of Data Scientists in Chennai is ₹ 7,40,487  annually.

A large amount of data is being generated through various activities daily. For instance, data of investments done in the stock market, data of the financial transactions, data with regards to the browsing history. The company which you are associated with records and maintains your data. For example, when you make regular online purchases, the provider collects all the information on your activity and stores it securely. It then makes use of the same data to make further product recommendations. Different companies use data in different ways.

  • Small-sized companies employ  Google Analytics for analyzing the small size of data.

  • Medium-sized companies have data that will need a Machine Learning Expert to work on it.

  • Big sized companies may need data science professionals who are experts in Machine Learning and Data Visualization.

Data Science is all about the collection and classification of information and using the same to derive insights. Python and R are the two programming languages that are used in the data science process. Some of the reasons, for python being the most preferred programming language in comparison to R:-

  • Easy to learn: Python is easier to understand and master, in comparison to R 

  • Flexible: The flexibility offered by Python offers is better when compared to the R programming language.

  • Availability of libraries: Python has a wide range of libraries available, such as pandas, scikit-learn, etc. This makes it easier in handling machine learning projects.

  • Data visualization: By using matplotlib in Python, you can do the plotting of complex data representations into 2D plots. Data visualization is a significant process in the job of a data scientist. Python can be used for Data Visualisation.

  • Globally Recognised Certification

  • Experienced Trainers

  • Industry aligned courses

  • Internship Opportunities

  • Job assistance

The mode of training offered by DataMites for Data Science course in Chennai is online training.

  • Graduate Freshers 

  • Individuals looking to switch their career into Data Science.

  • Professionals who have experience in the Data Science domain.

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FAQ’S OF DATA SCIENCE TRAINING IN CHENNAI

DataMites in Chennai provides a range of courses in Data Science, Machine Learning, Artificial Intelligence,in Chennai with training sessions uncompromised of quality, conducted by industry experts, professional data scientists who possess intense knowledge of the subject matter. The training is conducted in the online mode. The sessions are conducted based on case studies approach, with business cases taken up for discussion.

DataMites is a training provider that imparts quality training and upskilling in Data Science, for freshers who are data enthusiasts and professionals who wish to enhance their career possibilities. Above all DataMites offers the following;-

  • Industry aligned courses 

  • Online sessions that ensure good engagement.

  • Expert Trainers, who possess a vast knowledge of the subject matter.

  • Case studies approach, which delved deep into the practical application of the concepts.

  • Opportunity to get connected with a network of Data Science professionals.

  • Career Guidance

  • Opportunity to work on projects 

DataMites has a faculty of trainers who possess deep subject matter expertise and significant years of experience in the field of Data Science.

The Data Science course fee in India ranges from Rs 50000 to Rs 150000. DataMites offers three modes of training in Chennai, namely Online, Classroom and Self Learning. Data Science courses in India are offered at an affordable price of Rs 88000 for Online and Classroom sessions and Self Learning at Rs 62000.

The registrations cancelled within 48 hrs of enrollment will be refunded in full. The processing time of the refund is within 30 days, from the date of the receipt of  cancellation request.

Yes. You will receive a certificate from DataMites after the completion of the course.

DataMites in Chennai offers certifications in collaboration with IABAC for courses in Data Science, Artificial Intelligence and Machine Learning. IABAC is a global body, which offers certifications in Business Analytics and Data Science. IABAC is founded on the principles of EDISON Data Science Framework (EDSF). Machine Learning, Artificial Intelligence. All the data science certifications offered by DataMites are structured based on the industry trends.

Enrolling for online training online is very simple. The payment can be done using your debit/credit card that includes Visa Card, MasterCard; American Express or via PayPal. You will receive the receipt after the payment is successful. In case of more queries you can get in touch with our  educational counselor who will guide you with the same.

You have access to the online study materials from 6 months upto 1 year.

DataMites offer three various modes of  training in Chennai, namely Online, Classroom Self Learning mode.

DataMites offers data science sessions, both on weekdays and weekends. You can opt between the two, based on your convenience.

DataMites offers data science sessions, in the Morning and Evening. You can opt, based on your convenience.

Yes. DataMites does provide an online lab facility. You can visit prolab.datamites.com. When you visit the site, it asks for the password, you must enter the password given to you, in order to access the facility.

Yes. DataMites do provide live data science projects, which are done under the guidance of industry experts.

The data science course offered by DataMites in Chennai includes 20 capstone projects and 3 client projects.

The training sessions provided by DataMites in Chennai are primarily online. However, classroom training can be made available if there is adequate demand.

DataMites is a training provider that imparts quality training and upskilling in Data Science, for freshers who are data enthusiasts and professionals who wish to enhance their career possibilities. Above all DataMites offers the following;-

  • Industry aligned courses 

  • Online sessions that ensure good engagement.

  • Expert Trainers, who possess a vast knowledge of the subject matter.

  • Case studies approach, which delved deep into the practical application of the concepts.

  • Opportunity to get connected with a network of Data Science professionals.

  • Career Guidance

  • Opportunity to work on projects

DataMites provides Flexi Pass, which gives you the privilege to attend unlimited batches in a year. The flexi pass is specific to one particular course. Therefore if you have a flexi pass for one particular course of your choice, you will be able to attend any number of sessions of that course. It is to be noted that a flexi pass is valid for a particular period.

DataMites accepts all the online payments(Debit/Credit) through Razor pay. If you opt to pay through your credit card there will be an EMI option. DataMites collects token advance during the time of registration and the remaining payment should be settled in full before the completion of the course.

All the online sessions are recorded and will be shared with the candidates. If you miss any of the online sessions, you can still have access to the recordings later.

Yes. The Datamites certification exam fee is included in the total course fee. Therefore once you are registered for a course, you are also eligible to attend the exam.

Yes. DataMites offers internship opportunities along with the course. You will be mentored by industry experts through the internship. Once the internship is completed, DataMites provides you with the internship certificate along with the experience certificate.

The DataMites Placement Assistance Team(PAT)  helps the candidates to have an easy start in his/her career. The team will assist you in the following areas;-

  • Project Mentoring- 100 hrs Live mentoring in industry projects.

  • Interview Preparations- Mock Interview sessions.

  • Resume Support- Personal guidance in resume creation by professionals.

  • Doubt clearing sessions- Live doubt clearing sessions on 

  • Job updates- Interview connects.

No, DataMites doesn’t guarantee a job, but it will provide all the support and guidance needed, in getting a job, Resume Building, Interview preparations. DataMites internships offer a candidate to work with industry experts, which helps in knowing the corporate way of working. This proves as a stepping stone to an individual’s professional life.

DataMites internship programs are exclusively designed for a candidate to enable him/her to get a practical experience of working on live projects. The candidate gets an opportunity to work under the guidance of industry experts.

DataMites offers offline data science training in Chennai at three convenient locations: Guindy, Vadapalani, and Perungudi. These locations provide accessible options for individuals interested in pursuing data science courses in Chennai.

Yes, DataMites does offer demo sessions for data science offline courses in Chennai that would provide an opportunity for prospective students to get a firsthand experience of the course content, teaching methodologies, and the overall learning environment. It allows individuals to assess whether the program aligns with their learning goals and career aspirations before making a commitment.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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