Data
analytics Course with Training, Certification & Placement Support
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.
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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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Life-time Unlimited Placement Support
Industry-Oriented Training
Convenient Hrs
Online & Classroom
Global Certification Programs
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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
How Placement Support Works
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
Career Grooming Sessions
5
Mock Interviews & Feedback
6
Mock Interviews & Feedback
Key Features of our Data Analytics 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 in the Data Analytics Course
Data Analysis & Programming Tools
- 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
Database & Querying Technologies
- SQL & MySQL – Managing, querying, and analyzing structured databases
Data Visualization & Business Intelligence
- Tableau – Creating interactive dashboards and visual data stories
- Power BI – Building reports, visual insights, and business intelligence dashboards
Advanced Analytics & Big Data Tools
- SAS – Statistical analysis and predictive modeling
- Hadoop & Spark – Processing and analyzing large-scale datasets
Development & Collaboration Tools
- Jupyter Notebook – Interactive environment for data analysis and documentation
- Git & GitHub – Version control and collaboration on analytics projects
Data Analytics Course Syllabus
Download SyllabusThis 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.
Module 1: Core Python for Data Analytics
- 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
Module 2: Data Analysis Using Pandas
- 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
Module 3: SQL & Advanced SQL for Analytics
- 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
Module 4: Excel for Data Processing
- 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
Module 5: Power BI for Business Intelligence
- 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
Module 6: Data Visualization & Storytelling
- 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
By completing this course, learners gain end-to-end exposure to data analytics tools and workflows, from data preparation and analysis to visualization and reporting. The program helps build practical analytics skills required to support data-driven decision-making across various business environments.
Real-Time Project Practice in
Project 1Sales Data Analysis
Analyze sales data to identify trends, patterns, and performance metrics
Generate insights to support business planning and strategic decisions
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
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
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
Derive insights to improve user experience and marketing performance
SLA is a Cetriport Authorised Training & Certification Partner for:
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Certifications You Receive
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.
Trainer Profile
- Industry Experience
Our trainers are experienced professionals with hands-on industry exposure in their respective domains, bringing practical insights into the learning process. - Domain Expertise
Each course is led by trainers who specialize in the relevant technologies, tools, and practices aligned with current industry standards. - Practical & Applied Teaching Approach
Training focuses on real-time scenarios, hands-on exercises, assignments, and case studies to help learners apply concepts effectively. - Structured Learning & Mentorship
Trainers follow a structured training approach and provide continuous mentorship to support learners throughout the course. - Interview Readiness & Skill Guidance
Trainers guide students in technical preparation, practical understanding, and interview readiness to help them approach job opportunities with confidence. - Continuous Skill Upgradation
Our trainers stay updated with evolving technologies and industry practices to ensure training remains relevant and up to date.
FAQ
Who can enroll in this Data Analytics course?
This course is suitable for freshers, graduates, working professionals, and career switchers who want to build practical skills in data analytics and related roles.
Are there any prerequisites to join this course?
There are no mandatory prerequisites. A basic understanding of computers and spreadsheets is helpful, and all required programming concepts are taught from the fundamentals.
What tools and technologies will I learn?
The course covers industry-relevant tools and technologies including Python, Pandas, SQL, Advanced SQL, Excel, Power BI, and data visualization techniques used in real-world analytics projects.
Will I get hands-on or real-time project experience?
Yes. The training includes hands-on exercises, real-time projects, and case studies designed to help learners apply concepts in practical scenarios.
What career roles can this course help me prepare for?
This course helps learners prepare for roles such as:
- Data Analyst
- Business Intelligence (BI) Analyst
- Analytics Consultant
- Data-focused business roles
Career opportunities may vary based on individual skills, performance, and experience.
Do I receive a certificate after completing the course?
Yes. Students who successfully complete the course receive SLA’s course completion certificate. The training is also aligned to support preparation for relevant industry-recognized certification pathways.
Is placement or career support provided?
Yes. Learners receive structured career and placement support, including resume preparation, interview readiness training, and career guidance to help them prepare for job opportunities.
On Average Students Rated The Data Analytics Course 4.4/5.0
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