Software Training Institute in Chennai with 100% Placements – SLA Institute

Data Analytics Course with Certification and Placement Support

(359)
Live Online & Classroom Training
No Cost EMI

Learn data analytics through hands-on training and real-time projects that build practical skills in data analysis, visualization, and reporting. The program covers essential tools such as Excel, SQL, Python, Tableau, and Power BI, helping learners work with data efficiently and derive meaningful insights.

Students receive a course completion certificate along with structured career and placement support, including interview preparation and practical guidance. The course equips learners with job-ready analytics skills, preparing them for careers in data analytics and business intelligence. It builds a strong foundation in modern, data-driven practices.

Download Course & Placement Details
Fee Range: ₹55,000 – ₹60,000
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+91 63742 083445

Upcoming Batches

Hands On Training
Real-time projects & assignments
Mock interviews & assessments
Online & classroom learning modes
January 2026
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
January 2026
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Quick Enquiry

Placement

Life-time Unlimited Placement Support

Learning

Industry-Oriented Training

Timings

Convenient Hours

Mode

Online & Classroom

Certification

Global Certification Programs

We Tie-Up with 1000+ Leading IT and MNC Companies

SLA's Hiring and Placement Partner: Accenture
SLA's Hiring and Placement Partner: Highradius
SLA's Hiring and Placement Partner: GlobalLogic
SLA's Hiring and Placement Partner: Apollo Hospitals
SLA's Hiring and Placement Partner: TCS
SLA's Hiring and Placement Partner: GEP
SLA's Hiring and Placement Partner: Perficient
SLA's Hiring and Placement Partner: Cyient
SLA's Hiring and Placement Partner: Deloitte
SLA's Hiring and Placement Partner: Bank Of America
SLA's Hiring and Placement Partner: Samsung
SLA's Hiring and Placement Partner: Mindtree
SLA's Hiring and Placement Partner: Optum
SLA's Hiring and Placement Partner: Wipro
SLA's Hiring and Placement Partner: Infosys
SLA's Hiring and Placement Partner: Latent View
SLA's Hiring and Placement Partner: Birlasoft
SLA's Hiring and Placement Partner: Jio
SLA's Hiring and Placement Partner: Siply
SLA's Hiring and Placement Partner: Delhivery
SLA's Hiring and Placement Partner: Valuemomentum
SLA's Hiring and Placement Partner: Needl.ai
SLA's Hiring and Placement Partner: Napier
SLA's Hiring and Placement Partner: Intellect
SLA's Hiring and Placement Partner: NTT-Data
SLA's Hiring and Placement Partner: Eurofins
SLA's Hiring and Placement Partner: Tech Mahindra
SLA's Hiring and Placement Partner: Rakuten
SLA's Hiring and Placement Partner: Mentor Graphics
SLA's Hiring and Placement Partner: Observeai
SLA's Hiring and Placement Partner: Oracle
SLA's Hiring and Placement Partner: Tredence
SLA's Hiring and Placement Partner: SAP
SLA's Hiring and Placement Partner: Fractal
SLA's Hiring and Placement Partner: Spanidea
SLA's Hiring and Placement Partner: Fareportal
SLA's Hiring and Placement Partner: Merkle
SLA's Hiring and Placement Partner: Acs Solutions
SLA's Hiring and Placement Partner: Cognizant
SLA's Hiring and Placement Partner: Pwc
SLA's Hiring and Placement Partner: Capgemini
SLA's Hiring and Placement Partner: Publicis Sapient
SLA's Hiring and Placement Partner: Nvidia
SLA's Hiring and Placement Partner: CGI
SLA's Hiring and Placement Partner: Goldman Sachs
SLA's Hiring and Placement Partner: Prodapt
SLA's Hiring and Placement Partner: Amazon
SLA's Hiring and Placement Partner: Tanla
SLA's Hiring and Placement Partner: Google
SLA's Hiring and Placement Partner: SociéTé GéNéRale
SLA's Hiring and Placement Partner: Bosch

This Course Includes

  • Free Demo Class
  • Flexible Fee Options & EMI Support
  • Soft Skills & Career Readiness Training
  • Placement Support & Interview Preparation
  • Course Completion Certificate
  • Training with Real Time Projects
  • Industry-Oriented Coaching by Experienced IT Professionals
Talk to a Course Advisor

Expected Criteria for Assured Placement

Our placement support process is designed to help students prepare for and participate in interview opportunities after completing their training. To make the most of placement support, students are expected to actively engage in the learning and preparation process.

Placement Support Guidelines
  • Successful completion of the course curriculum and required projects
  • Successful completion of the course curriculum and required projects
  • Completion of resume preparation, soft skills, and interview readiness training
  • Regular updates of technical skills based on interview feedback
  • Participation in scheduled interview opportunities as per individual readiness
  • Continuous learning and improvement based on recruiter feedback

Students receive ongoing guidance from the placement team to help improve performance and readiness for future opportunities.

How Placement Support Works

Placement support includes interview opportunities, career guidance, and skill improvement support provided on an ongoing basis. Interview participation and career decisions remain with the student and depend on individual readiness, performance, and available opportunities. Job placement is not guaranteed.

Have Queries? Ask our Experts

+91 63742 83445

SLA’s Career-Oriented Training & Placement Support Process

1

Industry-Focused Training

2

Expert-Led Mentorship

3

Assignments & Real-Time Projects

4

Mock Interviews & Feedback

5

Mock Interviews & Feedback

6

Placement Support & Interview Opportunities

Key Features of the Data Analytics Certification Course

  • Comprehensive Curriculum
    Covers core analytics concepts including statistics, Python, SQL, data visualization, and applied analytics techniques.
  • Hands-On & Practical Learning
    Learn through real-time projects, case studies, and practical exercises designed around real business scenarios.
  • Expert-Led Training
    Get trained by experienced professionals with domain expertise in data analytics and business intelligence.
  • Industry-Standard Tools & Technologies
    Gain practical exposure to widely used analytics tools such as Excel, SQL, Python, Tableau, and Power BI.
  • Flexible Learning Modes
    Choose between classroom and online training options to suit your schedule and learning preferences.
  • Real-World Project Exposure
    Work with real datasets to perform data analysis, build dashboards, and generate business insights.
  • Career & Placement Support
    Receive structured support including resume preparation, mock interviews, and interview readiness guidance.
  • Certification & Skill Validation
    Earn a course completion certificate and receive training aligned with industry-relevant certification pathways.

The course structure is designed to balance theoretical concepts with practical application.

Future Scope of Data Analytics

Growing Industry Demand
As businesses increasingly rely on data for planning, optimization, and decision-making, the demand for professionals with strong data analytics skills continues to grow across industries.

Diverse Career Roles
Data analytics skills open opportunities in roles such as:

  • Data Analyst
  • Business Intelligence (BI) Analyst
  • Analytics Consultant
  • Data-Focused Business Roles

These roles are relevant across domains like IT, banking, healthcare, retail, manufacturing, and more.

Long-Term Career Relevance
With the integration of analytics into AI, automation, and digital transformation initiatives, data analytics remains a valuable skill for long-term career development and continuous learning.

Global Career Opportunities
Data analytics is a globally applicable skill, enabling professionals to work with organizations and teams across different industries and regions.

Achieve Your Goals With SLA

SLA builds your future with comprehensive coursework and unparalleled placement support.
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Tools covered for Data Analytics Course

  • Excel – Data cleaning, analysis, pivot tables, and dashboard creation
  • Python – Data analysis, automation, and working with libraries like Pandas and NumPy
  • R Programming – Statistical computing and advanced data analysis
    • SQL & MySQL – Managing, querying, and analyzing structured databases
    • Tableau – Creating interactive dashboards and visual data stories
    • Power BI – Building reports, visual insights, and business intelligence dashboards
    • SAS – Statistical analysis and predictive modeling
    • Hadoop & Spark – Processing and analyzing large-scale datasets
    • Jupyter Notebook – Interactive environment for data analysis and documentation
    • Git & GitHub – Version control and collaboration on analytics projects

    Data Analytics Course Syllabus

    Download Syllabus

    This Data Analytics course syllabus is designed to build strong practical skills in working with real-world data. Students learn how to code, work with databases, analyze and visualize data, and transform raw information into meaningful insights. Through hands-on projects, they gain practical experience and confidence to apply these skills in real-world scenarios.

    • Python fundamentals: syntax, variables, and data types
    • Control structures: loops, conditionals, and error handling
    • Functions, modules, and reusable code practices
    • Object-Oriented Programming (OOP) concepts
    • Working with Python libraries for data handling and analysis
    • Data cleaning, filtering, sorting, and indexing
    • Handling missing values, duplicates, and inconsistent data
    • Grouping, merging, concatenation, and pivot operations
    • Exploratory Data Analysis (EDA) and statistical computations
    • Time-series analysis and working with large datasets
    • Writing basic to advanced SQL queries
    • Joins, subqueries, aggregations, and nested queries
    • Window functions, indexing, and query optimization
    • Working with relational databases
    • Integrating SQL with Python for analytics use cases
    • Data cleaning and transformation using formulas
    • Pivot tables, charts, and conditional formatting
    • Creating dynamic dashboards and reports
    • Data validation and automation techniques
    • Integrating Excel with SQL and Python for analytics
    • Power BI fundamentals and interface
    • Building interactive dashboards, reports, and KPIs
    • Data modeling, relationships, and DAX functions
    • Visualization best practices and storytelling
    • Connecting Power BI with multiple data sources
    • Creating charts and visualizations using Python and Power BI
    • Selecting the right visualization for different data types
    • Data storytelling and insight presentation
    • Customizing dashboards and reports
    • Communicating insights effectively to stakeholders

    Real-Time Project Practice in Data Analytics Course

    Project 1Sales Data Analysis

    Analyze sales data to identify trends, patterns, and performance metrics

    Generate insights to support business planning and strategic decisions

    Project 2Employee Performance Analysis

    Track and analyze employee performance data

    Identify improvement areas and support workforce productivity analysis

    Project 3Market Basket Analysis

    Study customer purchasing behavior using transactional data

    Identify product relationships to support targeted marketing strategies

    Project 4Website Traffic Analysis

    Analyze website traffic and user behavior data

    Derive insights to improve user experience and marketing performance

    SLA is a Cetriport Authorised Training & Certification Partner for:

    SLA is an authorized certification partner for MicrosoftSLA is an authorized certification partner for AutodeskSLA is an authorized certification partner for MetaSLA is an authorized certification partner for UnitySLA is an authorized certification partner for AdobeSLA is an authorized certification partner for CiscoSLA is an authorized certification partner for IntuitSLA is an authorized certification partner for PMISLA is an authorized certification partner for CSBSLA is an authorized certification partner for ESBSLA is an authorized certification partner for ITSSLA is an authorized certification partner for IC3SLA is an authorized certification partner for TallySLA is an authorized certification partner for Apple

    Want to learn with a personalized course curriculum?

    Certifications SLA Provides

    Our training programs are designed to provide structured learning, practical exposure, and certification support. Students receive multiple certifications based on course participation and completion.

    • Course Completion Certificate (SLA Institute)
      Students who successfully complete the course receive a Course Completion Certificate from SLA Institute, validating their training, skill development, and project work.
    • Global Certification Preparation & Support
      Our curriculum is aligned to support preparation for global certification programs offered by leading organizations such as IBM, Meta, Cisco, HCLTech, and Microsoft.
      Students receive guidance and preparation support to pursue relevant certifications based on eligibility and course requirements.
    • Codeathon Project Certificate
      Students who participate in the Codeathon live project program receive a Codeathon Certificate, recognizing their hands-on experience in building end-to-end projects through cross-functional team collaboration.

    Certification eligibility, assessments, and issuance are governed by respective organizations and program guidelines.

    Placement Support & Career Enablement

    Our placement support focuses on helping students become interview-ready and prepared for real job opportunities through continuous guidance and structured career enablement.

    What Our Placement Support Covers
    • Lifelong placement assistance with continuous career guidance
    • Scheduled interview opportunities through our placement network
    • Regular campus drives and hiring events
    • Resume building, profile optimization, and interview preparation
    • Pre-interview refresh training and post-interview feedback support
    • Placement tracking through our internal placement management system

    Placement support is provided to help students prepare for and participate in interview opportunities. Interview participation and career decisions remain with the student and depend on individual readiness, performance, and available opportunities.

    On Average Students Rated The Data Analytics 4.40/5.0
    (359)

    “The training focused on real-time practice rather than just theory. The certification, project experience, and career guidance sessions helped me understand industry expectations and prepare better for analytics roles.”

    Karthik V

    “The course covered all the important tools like SQL, Python, Tableau, and Power BI in a simple and practical way. The project work and trainer guidance helped me understand how analytics is applied in real-world use cases.”

    Swetha M

    “I joined this course with no prior analytics background. The syllabus was well-structured, and everything was taught from the basics. The hands-on projects and continuous support helped me build a strong foundation in data analytics.”

    Naveen R

    “What I liked most about this course was the practical approach. The trainers explained concepts clearly and focused a lot on real datasets and dashboards. The projects and mock interviews helped me improve my confidence and analytical thinking.”

    Priya S

    “The Data Analytics course gave me strong practical exposure through real-time projects and hands-on training. Learning tools like Excel, SQL, Python, and Power BI helped me understand how analytics works in real business scenarios. The guidance and structured training made the learning process clear and confident.”

    Arun Kumar

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