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Curriculum Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
Data Analytics Projects
Become a CCNP Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Sales Data Analysis
Analyze sales datasets to evaluate business performance. Learners clean data, calculate key sales metrics, identify trends, compare products and regions, and create basic reports.
Customer Data Analysis
Explore customer datasets to understand demographics, buying behavior, transaction patterns, customer segments, and key business insights for practical analysis efficiently.
Basic Expense Analysis
Analyze expense datasets to examine spending categories, monthly costs, transactions, and budget patterns. Learners clean records, perform calculations, and create visual reports.
Business Sales Analytics
Develop a complete sales analytics project covering data preparation, sales performance, customer segmentation, product analysis, revenue trends, and interactive dashboard development.
Customer Performance
Create a practical customer analytics project covering customer behavior, purchase frequency, revenue contribution, retention trends, customer insights, and business reporting.
Inventory and Business
Develop an integrated business analytics project covering inventory levels, product movement, sales transactions, stock trends, revenue analysis, business insights, and dashboard creation.
Complete Business Data
Develop an end-to-end analytics solution covering data collection, cleaning, SQL analysis, Python exploration, visualization, dashboard development, reporting, and actionable business insights.
Financial Data Analytics
Build a practical financial analytics project covering revenue, expenses, financial trends, transaction analysis, KPI reporting, performance evaluation, and interactive business dashboards.
Multi-Department Business
Develop a structured analytics project covering data preparation, departmental KPIs, visualization, dashboard development, performance tracking, and consolidated business reporting.
Career Support
Placement Assistance
Exclusive access to ACTE Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
Career Oriented Sessions
Resume & LinkedIn Profile Building
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Upcoming Batches
What's included
Free Aptitude and
Technical Skills Training
- Learn basic maths and logical thinking to solve problems easily.
- Understand simple coding and technical concepts step by step.
- Get ready for exams and interviews with regular practice.
Hands-On Projects
- Work on real-time projects to apply what you learn.
- Build mini apps and tools daily to enhance your coding skills.
- Gain practical experience just like in real jobs.
AI Powered Self
Interview Practice Portal
- Practice interview questions with instant AI feedback.
- Improve your answers by speaking and reviewing them.
- Build confidence with real-time mock interview sessions.
Interview Preparation
For Freshers
- Practice company-based interview questions.
- Take online assessment tests to crack interviews
- Practice confidently with real-world interview and project-based questions.
LMS Online Learning
Platform
- Explore expert trainer videos and documents to boost your learning.
- Study anytime with on-demand videos and detailed documents.
- Quickly find topics with organized learning materials.
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Data Analytics Course Overview
Master Skills with Data Analytics Training in Porur
Data Analytics Offline Training introduces learners to practical methods for collecting, organizing, examining, and interpreting information. The course helps participants understand how raw datasets can be transformed into useful insights through structured analytical processes. Learners explore data preparation, reporting, and business intelligence concepts through practical exercises. By working with different datasets and analytical scenarios, students gain a clear understanding of how data is examined and presented. The learning approach combines fundamental concepts with practical activities to help participants understand how analytics can support business planning, and informed decision-making.
Build Practical Expertise Through Data Analytics Projects
A Data Analytics Placement Course includes practical projects based on areas such as sales, customer behavior, marketing, finance, operations, and business performance. Learners work with datasets to perform data preparation, exploratory analysis, visualization, and reporting activities. Project-based learning allows students to apply analytical concepts to realistic business scenarios while developing structured approaches to solving data-related problems. Participants can document their project workflow, findings, visualizations, and recommendations as part of a practical portfolio. These activities also help learners improve their ability to explain analytical results clearly and present meaningful insights.
Learn Industry Tools with Data Analytics Internship Program in Porur
Excel and SQL: Excel supports spreadsheet analysis, formulas, PivotTables, data organization, and reporting, while SQL enables learners to retrieve, filter, join, and analyze information from relational databases. Practical exercises help students work confidently with structured business datasets.
Python and Pandas: Python supports data processing, exploratory analysis, automation, and analytical workflows, while Pandas provides functions for organizing, filtering, grouping, and transforming datasets. Learners practice applying programming concepts to real-world data analysis tasks.
Power BI and DAX: Power BI enables learners in Data Analytics Training to build data models, and dashboards, while DAX supports calculated measures and analytical expressions. Students gain practical experience in transforming datasets into useful business intelligence reports.
Data Visualization: Data visualization techniques help convert analytical results into charts, dashboards, and graphical reports that make information easier to interpret. Learners practice selecting suitable visual formats to communicate patterns, comparisons, trends, and key metrics.
Tableau: Tableau supports interactive data exploration, visualization, dashboard creation, and business reporting. Students learn to work with datasets, develop visual representations, and communicate analytical findings through interactive dashboards and structured reports.
Strengthen Your Career with Data Analytics Placement Support
Data Analyst: Data Analysts work with datasets to identify patterns, examine trends, prepare reports, and communicate useful findings. They organize information and support teams by presenting analytical results that can contribute to business planning and operational decisions.
Business Intelligence Analyst: Business Intelligence Analysts examine organizational information, monitor performance metrics, and present insights for business teams. They work with analytical tools to transform business data into understandable information for stakeholders.
Reporting Analyst: Reporting Analysts prepare recurring reports, organize business metrics, and ensure analytical information is presented consistently. Their work involves reviewing data, preparing structured reports, and supporting regular business reporting requirements.
Power BI Developer: Power BI Developers create data models, interactive dashboards, reports, and DAX calculations to present business information effectively. They work with datasets and reporting requirements to develop visual solutions for monitoring business performance.
Data Visualization Analyst: Data Visualization Analysts transform datasets into charts, dashboards, KPI displays, and visual reports. They focus on presenting complex information clearly so stakeholders can understand trends, comparisons, patterns, and important analytical findings.
Data Analytics Certification Course in Porur supports structured learning in areas such as data preparation, reporting, visualization, database analysis, and business intelligence. Practical exercises and project-based activities allow learners to strengthen their understanding of analytical workflows and develop confidence in handling datasets. The training can also include portfolio development, resume preparation, interview practice, certification guidance, and professional development activities. Learners gain opportunities to apply analytical concepts to business scenarios involving performance monitoring, operational analysis, reporting, and data-driven planning with practical industry exposure.
Explore Job Roles Through Data Analytics Certification in Porur
Career Opportunities After Data Analytics
Data Analyst
Data Analysts collect, clean, and analyze datasets, identify trends, create dashboards, and present useful insights that help business teams support informed decisions and improve performance effectively.
Business Intelligence Analyst
Analyze business data, track performance metrics, develop reports, and identify meaningful patterns that help organizations improve processes, monitor goals, and support informed business decision-making.
Data Engineer
Data Engineers build data pipelines, manage databases, transform information, and maintain reliable data systems that support analytics, reporting, business intelligence, and advanced data projects.
Data Scientist
Data Scientists analyze complex datasets, apply statistical methods, develop predictive models, and communicate analytical findings that support business planning, forecasting, and data-driven decisions.
Analytics Engineer
Analytics Engineers transform and organize business data, develop reliable analytical datasets, create data models, and support reporting workflows used by analysts and other business teams.
Power BI Developer
Power BI Developers create interactive dashboards, develop data models, build DAX measures, and design business reports that transform organizational data into useful analytical business insights.
Skill to Master
Data Cleaning and Preparation
Data Visualization Techniques
Statistical Analysis
SQL Query Writing
Excel for Data Analysis
Python Programming for Analytics
Power BI and Tableau Dashboard Creation
Predictive Modeling
Machine Learning Basics
Exploratory Data Analysis
Business Problem Solving
Report Generation and Presentation
Tools to Master
Microsoft Excel
SQL
Python
Power BI
Tableau
Pandas
NumPy
Jupyter Notebook
Microsoft Fabric
Google Looker Studio
DAX
GitHub
Learn from certified professionals who are currently working.
Training by
Arjun, having 7 yrs of experience
Specialized in: Business Intelligence Analyst, Data Analyst, Marketing Analyst, and Operations Analyst.
Note: Arjun is renowned for his expertise in predictive analytics and his ability to simplify complex data concepts for learners at all levels. He uses practical examples, real-world datasets, and hands-on exercises to explain analytical techniques in a clear and easy-to-understand manner.
Premium Training at Best Price
Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.
What Makes ACTE Training Different?
Feature
ACTE Technologies
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher Fees With Limited Payment Options.
Industry Experts
Well Experienced Trainer From a Relevant Field With Practical Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized Certifications With Global Validity.
Basic Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
LMS Features
Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.
No LMS Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
We are proud to have participated in more than 40,000 career transfers globally.
Data Analytics Certification
Data Analytics Training aims to help learners understand core analytics concepts, tools, and practical workflows. Learners gain hands-on exposure through exercises and projects that help them apply analytical techniques and work confidently with real-world datasets.
Data Analytics offers broad scope across technology, finance, healthcare, retail, marketing, consulting, and business operations. Organizations increasingly use data analytics for performance measurement, and informed business planning.
Learners can practice Data Analytics through hands-on exercises involving Excel, SQL, Python, Pandas, Power BI, and DAX. Practical activities include cleaning datasets.
Learners should have basic computer skills, a fundamental understanding of mathematics, logical thinking ability, and attention to detail. Having an interest in data, technology, business intelligence, and data visualization can also help learners.
Data Analytics skills help professionals interpret business data, recognize trends, create accurate reports, and communicate useful insights for decision-making. Tools such as Excel, SQL, Python, and Power BI support data collection, analysis, and reporting.
Frequently Asked Questions
- The Data Analytics Training introduces key areas including Excel, SQL, Python, Power BI, data cleaning, analysis, visualization, reporting, and dashboard creation. Learners also practice these concepts through exercises and projects based on practical business scenarios.
- Learners practice using real-world datasets for data cleaning, analysis, visualization, reporting, and insight generation.
- Hands-on assignments help participants work with Excel, SQL, Python, Power BI, and common data analytics processes.
- The training enables learners to create practical projects, strengthen their analytical skills, improve tool proficiency, prepare professional resumes, and build confidence for technical interviews. It also provides exposure to common workplace data requirements.
- Career paths may include Data Analyst, Business Analyst, Reporting Analyst, Power BI Developer, and Data Visualization Analyst positions.
- Those with foundational skills and practical project experience can also consider entry-level Data Analyst opportunities.
- Basic computer skills, fundamental mathematics, logical reasoning, and an interest in analyzing data can help learners begin the training comfortably. Basic spreadsheet knowledge and consistent practice can further support learning throughout the course.
