DATA ANALYTICS CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYTICS LEAD MENTORS

DATA ANALYTICS COURSE FEE IN CHENNAI

Live Virtual

Instructor Led Live Online

110,000
62,423

  • IABAC® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

55,000
35,773

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

Classroom

In - Person Classroom Training

110,000
67,548

  • IABAC® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship +Job Assistance

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UPCOMING DATA ANALYTICS ONLINE CLASSES IN CHENNAI

UPCOMING DATA ANALYTICS CLASSROOM CLASSES IN CHENNAI

BEST DATA ANALYTICS 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 ANALYTICS COURSE

Why DataMites Infographic

SYLLABUS OF DATA ANALYTICS CERTIFICATION IN CHENNAI

MODULE 1: DATA ANALYSIS FOUNDATION

• Data Analysis Introduction
• Data Preparation for Analysis
• Common Data Problems
• Various Tools for Data Analysis
• Evolution of Analytics domain

MODULE 2: CLASSIFICATION OF ANALYTICS

• Four types of the Analytics
• Descriptive Analytics
• Diagnostics Analytics
• Predictive Analytics
• Prescriptive Analytics
• Human Input in Various type of Analytics

MODULE 3: CRIP-DM Model

• Introduction to CRIP-DM Model
• Business Understanding
• Data Understanding
• Data Preparation
• Modeling
• Evaluation
• Deploying
• Monitoring

MODULE 4: UNIVARIATE DATA ANALYSIS

• Summary statistics -Determines the value’s center and spread.
• Measure of Central Tendencies: Mean, Median and Mode
• Measures of Variability: Range, Interquartile range, Variance and Standard Deviation
• Frequency table -This shows how frequently various values occur.
• Charts -A visual representation of the distribution of values.

MODULE 5: DATA ANALYSIS WITH VISUAL CHARTS

• Line Chart
• Column/Bar Chart
• Waterfall Chart
• Tree Map Chart
• Box Plot

MODULE 6: BI-VARIATE DATA ANALYSIS

• Scatter Plots
• Regression Analysis
• Correlation Coefficients

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 PANDAS PACKAGE

• Pandas functions
• 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: COMPARISION AND CORRELATION ANALYSIS

• Data comparison Introduction
• Concept of Correlation
• Calculating Correlation with Excel
• Comparison vs Correlation
• Performing Comparison Analysis on Data
• Performing correlation Analysis on Data
• Hands-on case study 1: Comparison Analysis
• Hands-on case study 2 Correlation Analysis

MODULE 2: VARIANCE AND FREQUENCY ANALYSIS

• Concept of Variability and Variance
• Data Preparation for Variance Analysis
• Business use cases for Variance and Frequency Analysis
• Performing Variance and Frequency Analysis
• Hands-on case study 1: Variance Analysis
• Hands-on case study 2: Frequency Analysis

MODULE 3: RANKING ANALYSIS

• Introduction to Ranking Analysis
• Data Preparation for Ranking Analysis
• Performing Ranking Analysis with Excel
• Insights for Ranking Analysis
• Hands-on Case Study: Ranking Analysis

MODULE 4: BREAK EVEN ANALYSIS

• Concept of Breakeven Analysis
• Make or Buy Decision with Break Even
• Preparing Data for Breakeven Analysis
• Hands-on Case Study: Procurement Decision with break even

MODULE 5: PARETO (80/20 RULE) ANALSYSIS

• Pareto rule Introduction
• Preparation Data for Pareto Analysis
• Insights on Optimizing Operations with Pareto Analysis
• Performing Pareto Analysis on Data
• Hands-on case study: Pareto Analysis

MODULE 6: Time Series and Trend Analysis

• Introduction to Time Series Data
• Preparing data for Time Series Analysis
• Types of Trends
• Trend Analysis of the Data with Excel
• Insights from Trend Analysis
• Hands-on Case Study: Trend Analysis

MODULE 7: DATA ANALYSIS BUSINESS REPORTING

• Management Information System Introduction
• Various Data Reporting formats
• Creating Data Analysis reports as per the requirements
• Presenting the reports
• Hands-on case study: Create Data Analysis Reports

MODULE 1: DATA ANALYTICS FOUNDATION

• Business Analytics Overview
• Application of Business Analytics
• Visual Perspective
• Benefits of Business Analytics
• Challenges
• Classification of Business Analytics
• Data Sources
• Data Reliability and Validity
• Business Analytics Model

MODULE 2: OPTIMIZATION MODELS

• Prescriptive Analytics with Low Uncertainty
• Mathematical Modeling and Decision Modeling
• Break Even Analysis
• Product Pricing with Prescriptive Modeling
• Building an Optimization Model
• Case Study 1 : WonderZon Network Optimization
• Assignment 1 : KERC Inc, Optimum Manufacturing Quantity

MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION

• Mathematics beyond Linear Regression
• Hands on: Regression Modeling in Excel
• Case Study 2 : Sales Promotion Decision with Regression Analysis
• Assignment 2 : Design Marketing Decision board for QuikMark Inc.

MODULE 4: DECISION MODELING

• Prescriptive Analytics with High Uncertainty
• Comparing Decisions in Uncertain Settings
• Decision Trees for Decision Modeling
• Case Study 3 : Decision modeling of Internet Plans, Monte Carlo Simulation
• Case Study 4 : Kickathlon Sports Retailer Supplier Decision Modeling

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
• Hands-on Linear Regression with ML Tool

MODULE 3: ML ALGO: LOGISTIC REGRESSION

• Introduction to Logistic Regression
• How it works: Classification & Sigmoid Curve
• Hands-on Logistics Regression with ML Tool

MODULE 4: ML ALGO: KNN

• Introduction to KNN
• How It Works: Nearest Neighbor Concept
• Hands-on KNN with ML Tool

MODULE 5: ML ALGO: K MEANS CLUSTERING

• Understanding Clustering (Unsupervised)
• K Means Algorithm
• How it works : K Means theory
• Hands-on K Means Clustering with ML Tool

MODULE 6: ML ALGO: DECISION TREE

• Random Forest Ensemble technique
• How it works: Bagging Theory
• Hands-on Decision Tree with ML Tool

MODULE 7: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

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

MODULE 8: ARTIFICIAL NEURAL NETWORK (ANN)

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

MODULE 9: PROJECT: PREDICTIVE ANALYTICS WITH ML

• Project Business requirements
• Data Modeling
• Building Predictive Model with ML Tool
• Evaluation and Deployment
• Project Documentation and Report

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: 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: 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 ANALYTICS COURSES IN CHENNAI

DATA ANALYTICS TRAINING REVIEWS

ABOUT DATA ANALYTICS TRAINING IN CHENNAI

A data analytics course in Chennai offers the valuable opportunity to gain cutting-edge skills in a rapidly growing field, positioning learners at the forefront of a data-driven economy in a technology-centric city. According to the US Bureau of Labor Statistics, the outlook for data analytics employment indicates a projected growth of 23% from 2021 to 2031, significantly outpacing the average growth rate of 5% observed across all other industries. 

In response to this demand, DataMites is providing hands-on, in-person data analytics training in Chennai, which includes internship opportunities and assistance with job placement. This initiative is aimed at equipping a fresh cohort of proficient data analysts.

DataMites, a globally acknowledged institution offers advanced Data Analytics Courses in Chennai. Accredited by IABAC, the institute awards internationally recognized certifications to students upon course completion. With ten years of expertise, DataMites has effectively educated more than 50,000+ learners globally. DataMites provides premium Certified Data Analytics training in Chennai, which is a no-code course covering essential tools such as Excel, MySQL, PowerBI, and Tableau

DataMites provides a structured 3-phase learning approach for data analytics training in Chennai

Phase1- Pre-Course Self-Study

  1. No-code course
  2. High-quality videos with an easy learning approach

Phase2- Live-online training

  1. Flexible learning option for Online, Blended mode training and Offline data analytics in Chennai and the course is also available in prominent cities of Chennai namely- Vadapalani, Perungudi and Guindy.
  2. Rigorous sessions spanning 20 hours each week, spread over 6 months along with 200+ learning hours.
  3. A detailed curriculum tailored to meet contemporary industry requirements.
  4. Practical projects that apply skills in real-life scenarios.
  5. Expert advice and training from experienced professionals and industry leaders.

Phase3- Internship and Job Assistance

  1. Involvement in 10 capstone projects for hands-on experience and participation in a live client project.
  2. Receipt of an internship experience certificate to bolster your professional credentials.
  3. The job-ready program offered by DataMites ensures that students are fully prepared with the necessary skills to excel in data analytics roles upon completion of the course.

DataMites List of Data Analytics Courses in Chennai

Certified Data Analytics Course in Chennai: The Certified Data Analytics (CDA) course in Chennai by DataMites is a comprehensive program designed to equip learners with in-depth knowledge and practical skills in data analytics.

Data Analytics Foundation Course in Chennai:  A Data Analytics Foundation Certification imparts individuals with essential knowledge of data analysis tools and techniques, enabling them to excel in entry-level positions within data-related domains. 

Data Analytics For Manager Course in Chennai: The Data Analytics for Managers Certification equips managers with the skills to make strategic decisions that drive business growth and improve performance optimization. 

Certified HR Analytics Professional in Chennai: The IABAC Certified HR Analytics Professional certification enables individuals to demonstrate their commitment to staying at the forefront of HR and advancing excellence in the industry. 

Certified Finance Analytics Professional in Chennai: The Certified Finance Analytics Professional Certification demonstrates your commitment to enhancing your professional capabilities and provides a distinct advantage in the competitive job market. 

Certified Healthcare Analytics Professional in Chennai: The Certified Healthcare Analytics Professional Certification provides you with the skills needed to thrive in this domain. Become proficient in the art of dissecting healthcare data, discovering valuable revelations, and creating a measurable influence on patient care.

DataMites Data Analytics course Syllabus 

The DataMites® Certified Data Analyst (CDA) Course Bundle is an advanced program centred on analytics and business insights. This no-code curriculum allows data analysts and managers to delve into advanced analytics without needing a programming background. 

DataMites offers 11-course bundles as part of its Certified Data Analyst program.

Data Analysis Foundation

MODULE 1: DATA ANALYSIS FOUNDATION
MODULE 2: CLASSIFICATION OF ANALYTICS
MODULE 3: CRIP-DM Model
MODULE 4: UNIVARIATE DATA ANALYSIS
MODULE 5: DATA ANALYSIS WITH VISUAL CHARTS
MODULE 6: BI-VARIATE DATA ANALYSIS

Python Foundation 

MODULE 1: PYTHON BASICS
MODULE 2: PYTHON CONTROL STATEMENTS
MODULE 3: PYTHON DATA STRUCTURES
MODULE 4: PYTHON FUNCTIONS
MODULE 5: PYTHON NUMPY PACKAGE
MODULE 6: PYTHON PANDAS PACKAGE

Data Science Foundation

MODULE 1: DATA SCIENCE ESSENTIALS
MODULE 2: DATA ENGINEERING FOUNDATION
MODULE 3: PYTHON FOR DATA ANALYSIS
MODULE 4: VISUALIZATION WITH PYTHON
MODULE 5: STATISTICS
MODULE 6: MACHINE LEARNING INTRODUCTION

Data Analysis Associate

MODULE 1: COMPARISON AND CORRELATION ANALYSIS
MODULE 2: VARIANCE AND FREQUENCY ANALYSIS
MODULE 3: RANKING ANALYSIS
MODULE 4: BREAK-EVEN ANALYSIS
MODULE 5: PARETO (80/20 RULE) ANALSYSIS
MODULE 6: Time Series and Trend Analysis
MODULE 7:DATA ANALYSIS BUSINESS REPORTING

Advanced-Data Analytics
 
MODULE 1: DATA ANALYTICS FOUNDATION
MODULE 2: OPTIMIZATION MODELS
MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION
MODULE 4: DECISION MODELING

Predictive Analytics with Machine Learning

MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: ML ALGO: LINEAR REGRESSION
MODULE 3: ML ALGO: LOGISTIC REGRESSION
MODULE 4: ML ALGO: KNN
MODULE 5: ML ALGO: K MEANS CLUSTERING
MODULE 6: ML ALGO: DECISION TREE
MODULE 7: ML ALGO: SUPPORT VECTOR MACHINE  (SVM)
MODULE 8: ARTIFICIAL NEURAL NETWORK (ANN)
MODULE 9: PROJECT: PREDICTIVE ANALYTICS WITH ML

Version Control with Git 

MODULE 1: GIT  INTRODUCTION
MODULE 2: GIT REPOSITORY and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
MODULE 4: TAGGING, BRANCHING AND MERGING
MODULE 5: UNDOING CHANGES
MODULE 6:GIT WITH GITHUB AND BITBUCKET

Database: SQL and MongoDB 

MODULE 1: DATABASE INTRODUCTION
MODULE 2: SQL BASICS
MODULE 3: DATA TYPES AND CONSTRAINTS
MODULE 4: DATABASES AND TABLES (MySQL
MODULE 5: SQL JOINS
MODULE 6: SQL COMMANDS AND CLAUSES
MODULE 7: DOCUMENT DB/NO-SQL DB

Big Data Foundation 

MODULE 1: BIG DATA INTRODUCTION
MODULE 2: HDFS AND MAP-REDUCE
MODULE 3: PYSPARK FOUNDATION
MODULE 4: SPARK SQL and HADOOP HIVE
MODULE 5: MACHINE LEARNING WITH SPARK ML
MODULE 6: KAFKA and Spark

Certified Business Intelligence(BI) Analyst

MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
MODULE 2: BI WITH TABLEAU: INTRODUCTION
MODULE 3: TABLEAU: CONNECTING TO DATA SOURCE
MODULE 4: TABLEAU: BUSINESS INSIGHTS
MODULE 5: DASHBOARDS, STORIES AND PAGES

Artificial Intelligence Foundation

MODULE 1: ARTIFICIAL INTELLIGENCE OVERVIEW
MODULE 2: DEEP LEARNING INTRODUCTION
MODULE 3: TensorFlow FOUNDATION
MODULE 4: COMPUTER VISION INTRODUCTION
MODULE 5: NATURAL LANGUAGE PROCESSING (NLP)
MODULE 6: AI ETHICAL ISSUES AND CONCERNS

DataMites Data Analytics Course Tools

At DataMites, our Data Analytics courses offer a comprehensive range of tools, equipping our students with a diverse and well-rounded skill set. From data analysis and machine learning to visualization, we provide training on a broad spectrum of industry-standard data analytics tools essential for aspiring data analysts.

  1. Anaconda
  2. Advanced Excel
  3. Numpy
  4. Pandas
  5. Google Colab
  6. GitHub
  7. Atlassian BitBucket 
  8. MySQL
  9. MongoDB
  10. Hadoop
  11. Apache PySpark
  12. Tableau
  13. Power BI
  14. Google BERT
  15. Tensor Flow

Why Choose DataMites for Data Analytics Training in Chennai?

Expert Faculty: DataMites programs are crafted and instructed by seasoned industry professionals, such as the globally recognized AI specialist Ashok Veda, who has 19 years of experience in Analytics and Data Science. This guarantees that our students receive education from experts who have substantial practical experience, offering crucial insights and hands-on knowledge in data science.

Flexible Learning Options: DataMites offers both online and offline data analytics classes in Chennai to suit different learning preferences.

Certification Recognition: DataMites provides, the IABAC data analytics training certification in Chennai which is widely recognized in the industry and enhances employability.

Hands-on Learning: DataMites emphasizes hands-on learning in its Data Analytics courses in Chennai, allowing students to work on real-world projects and datasets. This approach ensures practical experience and application of learned skills, preparing students for real-world challenges in the field.

Internship Opportunities: DataMites in Chennai offers valuable internship opportunities for its Data Analytics students, providing real-world experience and industry exposure. These internships are a crucial step in applying theoretical knowledge to practical scenarios, enhancing job readiness.

Placement Assistance: DataMiets Provides support for job placements and career advancement in the data analytics field.

The Significance of Data Analytics Courses with Internship Opportunities in Chennai

A Data Analytics Internship in Chennai is important because it provides hands-on experience in a rapidly growing field, allowing interns to apply theoretical knowledge to real-world situations. Chennai is a hub for IT and technology companies, offering ample opportunities for networking and career growth in the data analytics industry. Additionally, gaining experience in Chennai can enhance one's resume and make them more competitive in the global job market.

DataMites sets itself apart by integrating internships into our data analytics course in Chennai. This unique approach equips students with not only theoretical knowledge but also valuable industry experience. The added benefit of a data analytics certification from an AI company, it greatly enhances their skills and job prospects in Chennai's dynamic data analytics industry.

The Significance of Data Analytics Courses with Placement in Chennai

A Data Analytics course with Placement in Chennai is vital as it offers exposure to a diverse range of industries and companies, allowing for hands-on experience in real-world data analytics challenges. Chennai's status as a tech and IT hub also provides extensive networking opportunities and career growth prospects in the field.

DataMites offers a comprehensive data analytics job-ready program that goes beyond technical skills, encompassing essential soft skills training as well. This holistic approach ensures that our graduates are well-prepared and highly appealing to employers in Chennai's thriving data analytics industry.

Chennai, often referred to as the "Gateway to South India," is a vibrant and culturally rich coastal city known for its historical heritage and modern development. Chennai's Information Technology (IT) industry is a bustling centre, housing prominent firms such as TCS, Infosys, and Cognizant, providing ample prospects in software development, data analytics, IT consulting, and a wide range of data-driven roles like data scientists, data analyst, data engineers, and business analysts.

With a strong presence of IT giants and a growing ecosystem, Chennai provides a fertile ground for IT professionals to excel and advance their careers. The demand for data analytics in Chennai is rapidly growing, driven by the city's burgeoning IT and business sectors. This growth is fueled by the increasing reliance on data-driven decision-making in industries like finance, healthcare, and technology. 

Data analytics in Chennai is a rapidly growing field, driven by the city's expanding IT sector and demand for data-driven insights. With a burgeoning talent, data analysts in Chennai earn an average salary of approximately INR 6,03,083, per year according to a Glassdoor report. Data Analytics growth signifies not only lucrative career prospects but also a significant contribution to the region's technological advancement.

Embark on transformative data analytics training in Chennai by enrolling in DataMites' institute. The courses are thoughtfully crafted to empower you with the essential skills required to thrive in the dynamic world of data analytics. Join DataMites today and become a vital part of the data analytics revolution along with other courses such as Data Science, Artificial Intelligence, Tableau, Python, MlOps, Machine Learning, Deep Learning and Data Mining.

ABOUT DATA ANALYTICS COURSE IN CHENNAI

A few steps in the data analytics process can support a number of initiatives. A successful data analytics initiative will give you a clear picture of where you are, where you have been, and where you should go by combining these elements.

Higher education must be nimble and responsive while certificates, degrees, and executive-level programmes must be sensitive to the needs of the workforce in order to fulfil the skyrocketing need for data scientists.

A great profession in data analytics exists. To put it simply, there has never been a better time to work with data. Data is generated at a rate of 2.5 quintillion bytes per day, and this rate is only increasing. The price would change depending on the type of instruction you want. From 30,000 to 1,000,000 Indian rupees are charged for the Data Analytics Training in Chennai.

A degree is not often required for work as a data analyst, but it is crucial to get the right certification from an accredited college. The time it takes to learn the skills needed for success in data analytics might range from six weeks to two years. A 4-month training programme is a good way to learn about and get expertise in data analytics. The variability is accounted for by the several distinctive paths one could pursue to become a data analytics specialist.

Since data analytics is in high demand, the career prospects for data analysts is highly promising. Before the end of 2020, IBM predicted, there would be an additional 364,000 employment!

  • Business Intelligence Analyst

  • Data Analyst

  • Operations Analyst

  • Marketing Analyst

  • Data Scientist

  • Quantitative Analyst

  • Data Analyst Consultant

  • Data Engineer

  • Project Manager

  • IT Systems Analyst

 Additionally, advanced coding knowledge is not necessary for data analysts. They should have knowledge of data management software, data visualisation software, and analytics software instead. Data analysts need to have strong mathematics skills, just like the majority of data-related occupations.

Without extensive training and effort, a career in data analytics won't be rewarding. To succeed in their area, data analysts need a specialised set of skills, and their education is mostly technological; yet, the job also calls for a few soft skills.

  • Visualizing data

  • Calculus and linear algebra

  • Organizing Data

  • SQL and NoSQL Machine Learning Using MATLAB, R, and Python

  • Critical Thinking and Communication with Microsoft Excel

Analyzing datasets for trends and insights that may then be utilised to guide organisational choices is the process of data analytics. Business analytics is centred on analysing various forms of data to make useful, data-driven business choices and enacting changes as a result.

  • The national average salary for a Data Analyst is USD 69,517 per year in the United States. (Glassdoor)

  • The national average salary for a Data Analyst in Australia is AUD 85,000 per year. (Glassdoor)

  • The national average salary for a Data Analyst in the UK is £36,535 per annum.  (Glassdoor)

  • The national average salary for a Data Analyst in India is INR 6,00,000 per year. (Glassdoor)

  • The national average salary for a Data Analyst in Canada is C$58,843 per year. (Payscale)

  • The national average salary for a Data Analyst in Germany is 46,328 EUR per annum. (Payscale)

  • The national average salary for a Data Analyst in Switzerland is CHF 95,626 per year. (Glassdoor)

  • The national average salary for a Data Analyst in UAE is AED 106,940 per year. (Payscale)

  • The national average salary for a Data Analyst in Saudi Arabia is SAR 95,960 per year. (Payscale.com)

  • The national average salary for a Data Analyst in South Africa is ZAR 286,090 per year. (Payscale.com)

The income growth that comes with a data analytics career is one of its profitable aspects. The pay for big data positions is rising in line with the demand for qualified data analysts. As per Glassdoor, a data analyst's average salary in Chennai is 6,00,000 LPA and the data analyst in Chennai earns an average amount of 4,36,622 LPA! (Payscale)

If you want to pursue a career in the analytics industry, DataMites is the finest college for you. The primary mentors are knowledgeable and industry-oriented, and the course curriculum is skillfully laid out. With projects and internship opportunities, we provide practical training! If you wish to pursue a career in the analytics field, DataMites is the finest educational facility for you. The course content is well-developed, and the key mentors are knowledgeable and dedicated to the business. There are projects and internship possibilities for technical skills!

The concept of data analytics has become more well-known in recent years as a result of the rise in data generation. Since the DataMites Data Analytics Courses in Chennai is intended to train candidates beginning at level 1, knowledge base of programming languages, databases, data structures, mathematics, and algorithms is simply helpful. However, there aren't any formal qualifications for the course.

The most prestigious qualification in data analytics is the Certified Data Analyst designation, which attests to your competence in confidently evaluating data utilising a range of technologies. A certificate demonstrates your proficiency in handling data, conducting exploratory research, comprehending the fundamentals of analytics, and visualising, presenting, and elaborating on your findings. The DataMites Certified Data Analyst Course in Chennai is recognised by IABAC as well as the renowned Jain University.

Your greatest option in the field is the DataMites data analyst certification course in Chennai. Our data analytics course provides you with substantial proof that you are qualified to help companies, including well-known multinationals, interpret the data at hand. It is evidence that you are qualified to carry out the responsibilities of a particular employment role in conformance with industry standards, as opposed to a data analytics certificate.

There are several ways to get your first work in this in-demand industry, and you may locate data analytics careers in a variety of different businesses. DataMites is available to upskill you in becoming a data analytics professional, whether you're just starting out in the professional world or switching to a new field.

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FAQ’S OF DATA ANALYTICS TRAINING IN CHENNAI

You may grow in your career and apply for the highest-paying opportunities with the help of data analytics training in Chennai that is specifically designed for the needs of the sector. With the surge in the use of analytics, having the capacity to work with data is no longer optional. The value of these skills will only increase as more sectors and businesses jump on board.

An international centre for data science called DataMitesTM has received approval from the International Association of Business Analytics Certifications (IABAC).

  • 50,000+ hopefuls were trained

  • The three-phase learning method was carefully designed to deliver the best training possible.

  • Participate in relevant case studies and initiatives that are based in reality.

  • Get certified in JainX Data Analytics and the global IABAC.

  • Assistance with finding a job and an internship

Freshmen and students alike are welcome to enrol in the course. The best career path for you to take if you want to go from an IT to a business profile is to become a data analyst. You will be well-positioned to succeed in this sector if you have strong coding and IT skills. DataMites Training is open to individuals who do not work in information technology, including those in the human resources, banking, marketing, and sales sectors.

For its data analytics training programmes, DataMites charges roughly 42,000 Indian rupees in Chennai.

For a data analyst with the requisite training in data analytics and the required level of skill on your part, the sky is the limit. DataMites offers data analytics certification courses in Chennai that last four months.

You has to go through the DataMites Certified Data Analyst Training in Chennai if you're contemplating about working in data analysis. Our curriculum will doubtless provide the understanding, talents, and credentials needed to start a career in data analysis from start to end.

You can choose from a variety of flexible learning choices at DataMites, including data analytics training online in Chennai, self-study courses, and data analytics classroom training in Chennai. Each training session is specifically designed to help participants become experts in their chosen field.

It may seem like there is never enough time to learn everything there is to know about a data analytics career. Data analysts should be familiar with analytics, data visualisation, and data management tools but do not need to have sophisticated coding abilities.

 The Certified Data Analyst curriculum, one of the best data analytics programmes offered by DataMites, has earned accreditation from the internationally recognised IABAC and JainX authority, whose credentials you would obtain after completing the course. The most effective method for beginning a career in data analytics is to obtain the DataMites Certified Data Analyst credential.

Data analytics has grown to be a large field, so we want to train knowledgeable experts in the domain. DataMites has highly knowledgeable instructors who have hands-on expertise in the data sector. They will provide you with the greatest learning environment for your next significant endeavour.

Applicants may participate in sessions provided by Datamites for a period of three months on any question or revision you desire to resolve with our Flexi-Pass for Data Analytics Certification Training.

That is not an issue for you. To schedule a class that fits your schedule, simply speak with your trainers about the issue. Every session of the online data analytics training in Chennai will be recorded and uploaded, allowing you to simply pick up the material you missed at your own pace and comfort. Certainly, it has never been this simple to understand data analytics!

Data analytics classroom training in Chennai helps to educate useful skills and knowledge and allows valid scope for deeper and fluent grasp on the subject matter with a stronger emphasis upon teamwork, group learning, and social interaction.

A data analytics course completion certificate in Chennai will undoubtedly be given to you once your course is over.

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DataMites provides in-person data analytics training in Chennai at three easily accessible locations: Guindy, Vadapalani, and Perungudi. These options offer convenience for individuals who are looking to enrol in data analytics courses in Chennai.

Indeed, DataMites provides demo sessions for its offline data analytics courses in Chennai. These sessions present a valuable opportunity for potential students to gain firsthand experience of the course content, teaching approaches, and the overall learning atmosphere. DataMites enable individuals to evaluate whether the program matches their learning objectives and career ambitions prior to making a formal 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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