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Data Analytics Program

Mastering Data Analytics

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Data Analytics Program

From Foundations to Enterprise Excellence

Transform your career with our comprehensive Data Analytics Program, offering three distinct learning tracks tailored to your skill level. Our curriculum combines theoretical knowledge with hands-on experience, preparing you for real-world data challenges.

Program Highlights:

  • Foundation Track (8-10 weeks): Build a strong foundation in data visualization, basic analytics, and fundamental business intelligence tools. Master essential skills in Python, SQL, and popular visualization platforms
  • Advanced Track (12-16 weeks): Advance your expertise with statistical analysis, advanced visualizations, and product analytics. Develop proficiency in data engineering and complex analytical methodologies
  • Expert Track (18-20 weeks): Achieve expert-level proficiency in enterprise analytics, big data processing, and advanced cloud integration. Master complex data architectures and scalable solutions

What Sets Us Apart:

  • Progressive learning path from basic visualization to enterprise-level analytics
  • Hands-on experience with industry-standard tools and platforms
  • Comprehensive coverage from data manipulation to advanced cloud integration
  • Focus on real-world business applications and metrics
  • Project-based learning with portfolio development opportunities

Tools & Technologies:

  • Foundation Tools: Python, SQL, Jupyter Notebook, Excel, Tableau, Power BI
  • Advanced Platforms: AWS/GCP, Apache Spark, Airflow
  • Enterprise Solutions: Data warehousing, ETL frameworks, Big data processing tools

Whether you're starting your data analytics journey or aiming for enterprise-level expertise, our program provides a structured pathway to success. Our curriculum emphasizes practical skills, industry best practices, and modern analytical methodologies, preparing you to lead and innovate in the rapidly evolving field of data analytics.

Join us today and position yourself at the forefront of the data revolution. Transform your career with a program that goes beyond traditional learning to deliver comprehensive, practical expertise in modern data analytics.

DA Courses

DA101 - DA Foundation

Level: Basic (L)
Duration: 12 Weeks
Fee: 20K
Method: Online, Live Sessions

Topics covered:

  • Mastering Data Manipulation
    • Development Environment & Basic Tools
    • Data Manipulation & SQL Fundamentals
    • Visualization & BI Tools Basics
    • Business Analytics Foundation

DA201 - DA Advanced

Level: Intermediate (M)
Duration: 16 Weeks
Fee: 25K
Method: Online, Live Sessions

Topics covered:

  • Development and Data Engineering
    • Advanced Development & Data Engineering
    • Advanced Visualization & Statistics
    • Advanced Analysis & Product Analytics
    • Projects & Technical Documentation

DA301 - DA Expert

Level: Advanced (H)
Duration: 20 Weeks
Fee: 30K
Method: Online, Live Sessions

Topics covered:

  • Advanced Systems and Performance Optimization
    • Cloud Infrastructure & Data Engineering
    • Enterprise Analytics & Big Data
    • Advanced Systems & Performance
    • Enterprise Portfolio & Integration


What you will learn ?

Foundation Level (DA101)

12 Weeks
+
  • Development Environment Setup: Python fundamentals, Jupyter environments, and core visualization libraries (Matplotlib/Seaborn)
  • Spreadsheet Mastery: Excel and Google Sheets fundamentals, basic formulas, and data organization techniques
  • Data Manipulation: NumPy operations, Pandas fundamentals, and SQL basics for data handling
  • Basic Visualization: Chart types, visualization principles, and best practices for data presentation
  • Business Intelligence Tools: Introduction to Tableau and Power BI for dynamic visualization
  • Advanced Excel: Pivot tables, complex formulas, and dashboard creation in spreadsheets
  • Dashboard Development: Fundamentals of dashboard design, interactivity, and user experience
  • Business Analytics: KPI analysis, industry metrics, and sector-specific reporting techniques
  • Data Presentation: Methods for effective data storytelling and business communication
  • Project Implementation: End-to-end analytics project showcasing tool integration and documentation

Advanced Level (DA201)

16 Weeks
+
  • Advanced Data Management: Git version control, complex SQL queries, and statistical analysis with SciPy/Stats libraries
  • Data Engineering Fundamentals: ETL process development, pipeline construction, and data quality management frameworks
  • Advanced Visualization Techniques: Complex dashboard design in Tableau and Power BI, interactive visualizations with Plotly
  • Statistical Analysis: Comprehensive statistical methods including descriptive analysis, inferential statistics, and hypothesis testing
  • Advanced Analytics: Sophisticated data preprocessing, exploratory analysis, and analytical methodologies
  • Product Analytics Implementation: User behavior analysis, product metrics tracking, and A/B testing methodologies
  • Data Engineering Systems: Data warehouse fundamentals, advanced ETL processes, and quality assurance frameworks
  • Data Quality Management: Advanced cleaning techniques, validation frameworks, and quality control processes
  • Funnel Analysis: Customer journey mapping, conversion optimization, and behavioral analytics
  • Project Portfolio Development: Implementation of two complex analytics projects with technical documentation
  • Professional Communication: Advanced presentation techniques, stakeholder communication, and technical documentation

Expert Level (DA301)

20 Weeks
+
  • Enterprise Cloud Infrastructure: Advanced AWS/GCP integration, enterprise architecture design, and data warehouse implementation
  • Advanced Data Engineering: Complex pipeline orchestration with Apache Spark, Airflow, and dbt for enterprise-scale transformations
  • Enterprise Analytics Systems: Big data processing frameworks, advanced statistical modeling, and enterprise-level analytics solutions
  • System Architecture: Comprehensive data architecture design, advanced system integration, and enterprise visualization frameworks
  • Big Data Processing: Enterprise-scale data modeling, system optimization, and advanced implementation strategies
  • Performance Engineering: Scalability patterns, performance optimization, and advanced monitoring systems
  • Data Warehouse Architecture: Enterprise data modeling, warehouse design patterns, and optimization techniques
  • System Integration: Complex systems integration, enterprise tool orchestration, and advanced workflow management
  • Enterprise Implementation: Large-scale analytics deployment, system scaling, and production-grade monitoring
  • Advanced Portfolio Development: Enterprise-scale project implementation showcasing complex system architecture
  • Enterprise Documentation: Comprehensive technical documentation, system architecture specifications, and deployment guides

Contact Information

Edathena Academy

CIIC, Crescent Engg. College
Vandalur, Tamil Nadu 600048

+91-98403-47570
eda@edathena.com

Operating Hours
Mon – Fri 9:00AM – 6:00PM

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Recognition of Excellence

EdAthena awards verified Certificates of Completion to students who successfully finish their courses. Each certificate includes the learner's name, course details, lecture and practice hours, and a unique GUID for verification. Our certificates, recognized by employers and institutions, validate the learner's mastery of required skills through lectures, assignments, and evaluations.

Our certification program is designed in collaboration with industry experts and aligned with current market demands. Learners gain practical experience through hands-on projects and real-world applications, ensuring they're well-prepared for industry challenges. The certification not only demonstrates technical proficiency but also showcases problem-solving abilities and project implementation skills valued by employers.

Further information about course structure, prerequisites, and learning paths is available in our detailed course guide.

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