Advanced Program in Data Analytics (APDA) ...

Transform Your Career into a High-Paying Data Science Role

The Advanced Program in Industrial Data Analytics is a comprehensive, industry-focused training program designed to build strong analytical, technical, and business skills required for today’s data-driven roles.

This program is structured to take any graduate, even with no prior analytics background, and transform them into a job-ready Data Analytics professional through hands-on tools, real-world use cases, and practical projects.

Advanced Program in Data Analytics (APDA)

The Advanced Program in Data Analytics (APDA) delivers comprehensive training in data analytics with a focus on practical industry applications. This program provides a holistic skill set essential for addressing industry demands, emphasizing DBMS programming, data analysis, advanced visualization, storytelling dashboard creation, and advanced analytics for predictive model and strategic action building.

Program Objectives

Our core objective:

Any graduate can become a Data Scientist or Data Analytics professional with the right skills, tools, and guidance.

This program is designed to:

  • Build strong analytical thinking

  • Provide hands-on tool expertise

  • Enable industry-ready project experience

  • Prepare learners for Data Analytics job roles

Who Can Join?

  • Any Graduate (B.Tech / B.Sc / B.Com / BBA / BA / MCA / MBA, etc.)

  • Freshers & Working Professionals

  • Career switchers looking to move into Data Analytics

  • Professionals aiming to upskill with modern analytics tools

No prior coding or analytics experience required

Course Curriculum - Tools & Technologies Covered

  • Data cleaning & preparation

  • Advanced formulas & functions

  • Pivot tables and dashboards

  • AI-powered insights & automation

  • Database fundamentals

  • Complex queries & joins

  • Subqueries, CTEs, and performance tuning

  • Real-world data extraction scenarios

  • Data manipulation & analysis

  • Statistical analysis

  • Advanced SAS procedures

  • Enterprise analytics using SAS Viya

  • Python fundamentals for analytics

  • Data analysis using Pandas & NumPy

  • Data visualization

  • Introduction to predictive analytics

  • Data modeling

  • Interactive dashboards

  • DAX fundamentals

  • Business intelligence reporting

  • Data visualization concepts

  • Storytelling with data

  • Interactive dashboards

  • Industry-standard reporting techniques

Career Opportunities

After completing this program, learners can apply for roles such as:

  • Data Analyst

  • Business Analyst

  • Reporting Analyst

  • Junior Data Scientist

  • MIS & Analytics Consultant

Why Choose This Program

  • Designed for both non-technical & technical graduates

  • Covers multiple industry-standard tools

  • Strong focus on job-oriented analytics skills

  • Practical learning with real-world use cases

  • Structured roadmap from beginner to professional

Outcome of the Program

āœ… Strong foundation in Data Analytics
āœ… Hands-on experience with leading tools
āœ… Industry-ready skill set
āœ… Increased employability in Data Analytics roles

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    Your Analytics Career Starts Here

    šŸ“ˆ Get trained. Get skilled. Get hired.
    Join the Advanced Program in Industrial Data Analytics and take the first step towards a successful career in Data Analytics & Data Science.

    INDUSTRY REAL-TIME
    DATA SCIENCE PROJECTS

    Retail Marketing

    The world we live in is evolving every day. There are significant changes in the retail market as opposed to how it was a decade or two ago. With sales worth trillions of dollars worldwide, retail industry is expected to develop even further in the coming days. Data Analytics can be used in the retail industry for various reliable decisions. Be it customer retention or sales prediction, we can develop models using data to provide the best possible solutions.

    • Targeted customer communication
    • Price optimization
    • Demand prediction and inventory management
    • Customer experience enhancement
    • Market trend prediction
    • Customer retention
    • Strategic business decisions to increase sales

    Banking

    The remarkable variations that have happened in the banking industry over the past few years are not momentary. Many organizations are adapting to the latest trends in technology and are changing their business structure for enhanced security and the best customer experience. To make better business decisions, banks need to connect various data from both structured and unstructured sources. Banking analytics aids in providing valuable insights by gathering, processing, and analyzing data.

    • Customer identification and acquisition
    • Portfolio analysis and risk management
    • Customer retention
    • Credit risk analysis
    • Collection analysis
    • Marketing analysis

    Telecom

    Telecommunication industry has encountered extraordinary changes over the past few decades. From satellite internet to 5G services, the industry continues to grow together with the advancements in technology. With every company racing to get the best services delivered to each customer, it is challenging to gain a competitive advantage. Telecommunication data analytics (telecom analytics) can help solve your complex business problems by finding the most optimal solutions, using various statistical approaches such as data mining, data manipulation, descriptive modeling, or predictive modeling. We can discern and analyze the existing trends to find the most favorable outcome. Data analytics can help you save operational costs, maximize your profits, increase the sales, and even manage risks.

    • Targeted customer communication
    • Price optimization
    • Demand prediction and inventory management
    • Customer experience enhancement
    • Market trend prediction
    • Customer retention
    • Strategic business decisions to increase sales

    E-Commerce

    Ecommerce refers to trade that happens over the internet. Through online stores, it is possible to purchase a wide variety of products using your computer, tablet, smartphone, or other smart devices. Since ecommerce businesses exist in a virtual space, they need effective ecommerce analytics to predict the changes in the market. Ecommerce analytics can provide actionable insights on various aspects such as interaction of shoppers, online shopping trends, and common interests. Using statistical approaches, we can anticipate changes in the market, analyse risk, and make better business decisions.
    • Information analysis
    • Inventory forecasting
    • Customer experience analysis and targeted customer communication
    • Fraud prevention
    • Marketing analysis
    • Price optimization

    Healthcare

    Healthcare is a collective term for hospital services, medical devices, pharmaceutical services, insurance services, and any other medical care provisions provided for an individual or a community. It is said that prevention is always better than cure. While we cannot always prevent an event from occurring, we can always be prepared for its arrival. By gathering data, analyzing trends, and predicting possible outcomes, the application of Data Analytics in the healthcare industry are limitless. The insights that we obtain from healthcare data can support in making decisions that can have a significant business impact.
    • Risk Analysis
    • Insurance claim analysis
    • Operations analysis
    • Patient care analysis
    • Performance monitoring
    • Operational and interactive dashboards

    What requirement do you need?

    There are no prerequisites to attend this course online or ofline.
    Elementary programming knowledge will be of advantage.

    Training Supports & Benefits

    • Learn from the World’s Best Faculty & Industry Experts
    • Learn with fun Hands-on Exercises & Assignments
    • Participate in Hackathons & Group Activities
    • Dedicated Faculty
    • 9AM to 6 PM Support
    • Participate in Hackathons & Group Activities
    • Resume Building & Mock Interview Prep​aration.
    • We offer personalized access to our Learning Management System (LMS).
    • Moc Interview Practise + Real time Test

      Talk to an Expert





      "I authorise DV Data & Analytics & its representatives to contact me with updates and notifications via Email/SMS/WhatsApp/Call. This will override DND/NDNC." Privacy Policy and Terms & Conditions

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      Students Reviews

      • Being a student from UK I have benefited by Dev sir's flexible approach with timing. I believe DV Analytics is one which helps you to grow and groom your career. It is an outstanding institute to enter the world of Data Science. Course has been designed in such a manner that people from any stream can follow through. Dev sir is very approachable and boosts one confidence through his teaching. "THE BEST INSTITUTE"

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