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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 CourseOverview
Develop Job-Ready Skills with Data Analytics Training in OMR
Learners develop practical knowledge of collecting, organizing, cleaning, analyzing, and interpreting data for different business needs. The Data Analytics course explains how raw datasets can be transformed into meaningful insights by applying structured analytical methods and systematic data processing techniques. Learners explore data preparation, data visualization, reporting, dashboard development, statistical analysis, and business intelligence through practical exercises and real-world datasets. By working with different analytical scenarios, participants gain a clear understanding of how data is collected, prepared, analyzed, visualized, and presented for effective business use. The Data Analytics Professional training combines essential concepts with hands-on activities, project-based learning, and practical examples to help learners strengthen their analytical thinking, improve data interpretation skills, and understand how data-driven insights can support business planning, performance evaluation, and informed decision-making in modern business environments with confidence.
Gain Hands-On Experience Through Data Analytics Projects
The Course includes practical projects covering sales, customer behavior, marketing, finance, operations, and business performance to help learners understand how analytics is applied across different business areas. Learners work with real-world datasets to perform data cleaning, transformation, exploratory analysis, statistical analysis, visualization, dashboard development, and reporting. The Data Analytics Placement Course provide Project-based learning enables participants to apply analytical techniques to realistic business situations while developing systematic approaches to identifying problems, analyzing information, and generating meaningful insights from complex business datasets. Learners can document their project workflow, analytical methods, findings, dashboards, visualizations, and recommendations to build a practical portfolio that demonstrates their capabilities and practical analytical skills. Data Analytics projects also strengthen data interpretation, problem-solving, analytical thinking, reporting, and communication skills, helping learners present useful business insights clearly and confidently in professional business environments.
Master Essential Tools Through Data Analytics Course in OMR
Excel and SQL: Excel supports spreadsheet analysis, formulas, PivotTables, data organization, and reporting, while SQL helps learners retrieve, filter, join, and analyze data from relational databases. Practical exercises enable students to work effectively with structured business datasets.
Python and Pandas: Python is used for data processing, exploratory analysis, automation, and analytical workflows, while Pandas helps organize, filter, group, and transform datasets. Learners practice using programming techniques to solve practical data analysis problems.
Power BI and DAX: Power BI enables learners in Data Analytics Trainers create data models, interactive dashboards, and business reports, while DAX supports calculated measures and analytical expressions. Students gain practical experience in converting data into useful business insights.
Data Visualization: Data visualization techniques help transform analytical findings into charts, dashboards, and graphical reports that are easy to understand. Learners practice choosing suitable visual formats to present trends, comparisons, patterns, KPIs, and key business findings.
Tableau: Tableau supports interactive data analysis, visualization, dashboard creation, and business reporting. Students learn to connect datasets, create meaningful visualizations, develop interactive dashboards, and present analytical findings in a clear and structured format.
Advance Your Career with Data Analytics Placement Support
Data Analyst: Data Analysts examine datasets to identify patterns, understand trends, and communicate useful findings. Through Data Analytics Training in OMR, learners can develop practical skills to organize and analyze information, helping teams understand business performance.
Business Intelligence Analyst: Business Intelligence Analysts evaluate organizational data, track performance metrics, and develop insights for business teams. They use analytical and visualization tools to convert business information into clear reports for stakeholders.
Reporting Analyst: Reporting Analysts prepare regular business reports, organize performance metrics, and maintain consistent reporting processes. Their responsibilities include reviewing data, creating structured reports, and supporting ongoing business reporting activities.
Power BI Developer: Power BI Developers build data models, interactive dashboards, reports, and DAX calculations to present business information effectively. They work with datasets and reporting requirements to create visual solutions for monitoring organizational performance.
Data Visualization Analyst: Data Visualization Analysts convert datasets into charts, dashboards, KPI displays, and visual reports. They focus on presenting complex information in a simple format so stakeholders can understand trends, and important analytical insights.
Structured learning in data preparation, database analysis, reporting, visualization, and business intelligence helps learners build a strong foundation for professional data analysis. The Data Analytics Course in OMR provides practical exercises and project-based activities that help participants understand analytical workflows, work confidently with different datasets, and apply suitable techniques to solve data-related challenges using industry-relevant tools and methods. The Data Analytics Certification can also include portfolio development, resume preparation, interview practice, certification guidance, and professional development support to help learners prepare for analytics-focused career opportunities. Through practical exposure to business scenarios involving performance tracking, operational analysis, reporting, dashboard creation, and data-driven planning, learners strengthen their analytical thinking, data interpretation, problem-solving, and communication skills while gaining confidence in presenting meaningful business insights effectively to business teams and stakeholders across different industry sectors with greater professional confidence.
Explore Career Opportunities with Data Analytics Certification Course
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 efficient 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
Verti, having 7 yrs of experience
Specialized in: Business Intelligence Analyst, Data Analyst, Marketing Analyst, and Operations Analyst.
Note: Verti 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.
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 covers key areas such as Excel, SQL, Python, Power BI, data cleaning, analysis, visualization, reporting, and dashboard creation. Learners also apply these concepts through exercises and projects based on practical business situations.
- Learners work with real-world datasets to practice data cleaning, analysis, visualization, reporting, and insight generation.
- Practical assignments help participants use Excel, SQL, Python, Power BI, and essential data analytics workflows.
- The training helps learners build practical projects, strengthen analytical skills, improve tool proficiency, prepare professional resumes, and develop confidence for technical interviews. It also provides exposure to common workplace data requirements.
- Career opportunities may include Data Analyst, Business Analyst, Reporting Analyst, Power BI Developer, and Data Visualization Analyst roles.
- Learners with foundational knowledge and practical project experience can also explore entry-level Data Analyst positions.
- Basic computer knowledge, fundamental mathematics, logical reasoning, and an interest in working with data can help learners start the training comfortably. Basic spreadsheet skills and regular practice can further support learning throughout the course.
