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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 Project
Analyze sales data using Excel and Power BI to identify product performance, customer segments, and regional sales patterns. Learners practice data cleaning, visualization, and report creation.
Customer Data Analysis
Work with customer records to analyze customer behavior, purchase patterns, demographics, and engagement information. Students practice organizing datasets and analytical reports.
Employee Data Analysis
Analyze employee information to understand department distribution, salaries, attendance patterns, and workforce trends. The project introduces learners to basic visualization.
Retail Business Analytics
Analyze retail sales data to identify top-performing products, revenue trends, customer behavior, and regional performance. Learners use Excel, SQL, and Power BI to prepare analytical reports.
Marketing Campaign Analysis
Evaluate marketing campaign data to understand customer engagement, conversion patterns, campaign performance, and channel effectiveness. Students create visual reports.
Financial Data Analysis
Analyze financial datasets covering revenue, expenses, profit, and business performance. Learners use SQL, Excel, and Power BI to prepare financial summaries, identify trends, and dashboards.
End-to-End Analytics
Develop a complete data analytics solution covering data collection, cleaning, SQL analysis, Python-based data processing, Power BI visualization, and business reporting.
Customer Churn Analysis
Analyze customer data to identify behavioral patterns associated with customer retention and churn. Students prepare datasets, perform exploratory analysis, and create visualizations
Data Analytics Dashboard
Create an interactive Power BI dashboard using business data covering sales, customers, revenue, and performance metrics. Learners apply data modeling, DAX, filtering, and reporting techniques.
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
Develop Industry-Ready Skills with Data Analytics Training in Velachery
Data Analytics Offline Training provides practical learning in data preparation, analytical methods, visualization, reporting, and business intelligence. Learners understand how to collect relevant information, organize datasets, identify useful patterns, and convert raw data into meaningful business insights. The training combines concepts with practical exercises to help students understand analytical workflows used across different industries. Through hands-on activities, learners can work with structured datasets, apply analytical techniques, and interpret business information. Practical assignments help participants understand how analytical findings can support planning, performance monitoring, and informed decision-making.
Build Practical Knowledge Through Data Analytics Projects
A Data Analytics Course provides opportunities to work on practical projects involving sales, customers, marketing, finance, operations, and business performance. Learners can apply data preparation techniques, perform exploratory analysis, and present findings using suitable visual formats. These projects help students connect technical concepts with practical business requirements. Project-based activities can also support portfolio development by allowing learners to document their analytical approach, and recommendations. Participants can strengthen their communication skills by explaining data-driven insights and presenting project outcomes, this practical exposure can help learners become more confident.
Explore Tools Used in Data Analytics Professional Training
Excel and SQL: Excel supports spreadsheet-based analysis, formulas, PivotTables, reporting, and data organization, while SQL helps learners retrieve, filter, combine, and analyze information stored in relational databases. Learners also develop practical skills for handling business datasets.
Python and Pandas: Python enables data processing, exploratory analysis, and automation, while Pandas provides practical functionality for manipulating, grouping, and transforming datasets. Students can strengthen their programming skills through practical data analysis activities.
Power BI and DAX: Data AnafWhat are the prerequisites for joining a Data Analytics Course? lytics Course Institute helps learners create data models, and, while DAX supports calculated measures and analytical expressions for business reporting. Learners gain practical knowledge for developing effective business intelligence reports.
Data Visualization: Visualization techniques help transform analytical findings into charts, dashboards, and reports that make business information easier to understand and communicate. Learners practice presenting complex information through clear and meaningful visual formats.
Tableau: Tableau helps learners create interactive visualizations, analyze business data, build dashboards, and present trends and insights through engaging reports. Students also learn to communicate analytical findings using interactive dashboards and professional visual techniques.
Career Development Through Data Analytics Placement Training
Data Analyst: Data Analysts examine datasets, identify trends, prepare reports, and communicate findings that can support business teams in making informed decisions. They also collaborate with teams to interpret data and recommend practical improvements.
Business Intelligence Analyst: Business Intelligence Analysts work with organizational data to identify performance patterns, and provide insights for business planning. Data Analytics Training helps learners understand how professionals support stakeholders in evaluating business.
Reporting Analyst: Reporting Analysts prepare recurring reports, maintain analytical dashboards, track business metrics, and organize information required by different departments. They ensure reporting data remains accurate, consistent, accessible, and useful for business operations.
Power BI Developer: Power BI Developers build data models, create interactive dashboards, develop DAX calculations, and design reports that present business information clearly. They also customize visual reports according to organizational reporting and analytical requirements.
Data Visualization Analyst: Data Visualization Analysts transform complex datasets into understandable visual reports, dashboards, charts, and KPI presentations for business stakeholders. They use effective visual techniques to communicate trends, and important analytical findings.
Data Analytics Certification can help learners develop technical and analytical capabilities relevant to data-focused workplace responsibilities. Students can strengthen their understanding of data preparation, reporting, visualization, database analysis, and business intelligence through practical learning activities and structured project-based exercises. The training can also support professional development through portfolio projects, resume preparation, interview practice, certification, and career guidance for emerging analytics professionals. Learners can apply their skills across sectors where organizations use data to monitor performance, improve operations, and support business planning with greater confidence.
Job Roles After Data Analytics Internship Program in Velachery
Career Opportunities After Data Analytics
Data Analyst
Data Analysts work with datasets, perform data cleaning, identify trends, create reports, and provide valuable analytical insights for business teams across different departments.
Business Analyst
Evaluate business requirements and performance information to support effective process improvement, accurate reporting, and strategic business decision-making.
Power BI Developer
Power BI Developers create dashboards, develop data models, write DAX measures, and prepare interactive reports using real-world business datasets.
Data Visualization Analyst
Data Visualization Analysts create meaningful visual reports and dashboards that communicate analytical findings through charts, KPIs, and interactive visualizations.
Reporting Analyst
Reporting Analysts manage business reports, analyze performance data, maintain reporting systems, and deliver accurate information to relevant stakeholders effectively.
Junior Data Analyst
Junior Data Analysts assist with data preparation, spreadsheet analysis, SQL queries, dashboard creation, and routine business reporting and data management activities.
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
Jupyter Notebook
R Programming
SAS
Apache Hadoop
Google Analytics
Google Data Studio
Google Data Studio
Learn from certified professionals who are currently working.
Training by
Agilan, having 7 yrs of experience
Specialized in: Business Intelligence Analyst, Data Analyst, Marketing Analyst, and Operations Analyst.
Note: Agilan is recognized for his expertise in predictive analytics and his ability to explain complex data concepts in a clear, practical, and engaging way. He helps learners understand how historical data, statistical methods, and predictive models can be used to identify patterns, and support informed business decisions
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 essential analytics concepts and practical workflows. Learners also gain practical exposure through projects and exercises.
Data Analytics has applications across technology, finance, healthcare, retail, marketing, consulting, and business operations. Organizations use analytical information for performance measurement, customer analysis, reporting, and 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 can benefit from basic computer knowledge, elementary mathematical understanding, logical thinking, and attention to detail. An interest in data, technology, business intelligence, and visualization can also help participants engage effectively.
Data Analytics knowledge helps professionals understand business information, identify trends, prepare reports, and communicate meaningful insights. Tools such as Excel, SQL, Python, and Power BI support different stages of the analytics process.
Frequently Asked Questions
- The Data Analytics Training covers essential areas such as Excel, SQL, Python, Power BI, data preparation, visualization, reporting, and dashboard development. Learners gain practical exposure through exercises and projects based on real-world business requirements.
- Learners work on practical datasets and perform data cleaning, analysis, visualization, and reporting activities.
- Project-based exercises provide experience with Excel, SQL, Python, Power BI, and business analytics workflows.
- The training helps learners build a practical portfolio, improve their understanding of analytical tools, prepare resumes, develop interview confidence, and understand workplace data requirements. These activities can support preparation for data-focused professional opportunities.
- Data Analyst, Business Analyst, Power BI Developer, Reporting Analyst, and Data Visualization Analyst are relevant career options.
- Junior Data Analyst roles can also be explored after developing foundational practical experience.
- Learners can benefit from basic computer knowledge, elementary mathematical understanding, logical thinking, and an interest in working with data. Familiarity with spreadsheets and regular practice can also help participants gain confidence while learning analytical tools.
