Advanced Program in Data Analytics (APDA) at DV Data & Analytics Bangalore Private Limited, Bengaluru/Bangalore

DV Data & Analytics Bangalore Private Limited

Advanced Program in Data Analytics (APDA)

Certification (IT & Software)

Shortlisted by 23+ Students

Location: Bengaluru/Bangalore

Duration: 5 MONTH

Regular / Offline

Average Fees: ₹ 2.50 Lakhs

Highlights 1. The Advanced Program in Data Analytics (APDA) equips learners with practical skills in data analytics, ensuring they are ready for real-world industry challenges. 2. Hands-on training in database management (DBMS) programming helps students work efficiently with data storage, retrieval, and management. 3. Data analysis and visualization techniques enable learners to uncover insights and present data effectively using advanced tools. 4. Storytelling and dashboard creation skills allow professionals to communicate complex data findings in a clear and impactful way. 5. Advanced analytics for predictive modeling and strategic decision-making prepare students to forecast trends and drive business success with data-driven strategies.

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Frequently Asked Questions

About us

DV Analytics is a top-tier data science training and consulting firm, guided by experienced industry professionals. Our goal is to equip students with the right skills to meet industry demands, ensuring they are job ready.

We believe in building strong relationships based on honesty, transparency, and trust, benefiting both our students and corporate partners. Our focus is on delivering practical, industry-relevant knowledge that prepares candidates for real-world challenges.

With 14 years of expertise, we have trained over 7,000 students, achieving a remarkable success rate of 95%+ and an average salary package of ₹23 LPA. Our faculty consists of seasoned industry professionals, playing a key role in our strong training and placement record. We welcome students from both technical and non-technical backgrounds, helping them secure jobs in leading multinational companies like Morgan Stanley, Amazon, Flipkart, ANZ Bank, Citibank, HSBC, Honeywell, Standard Chartered Bank, Societe Generale, Commonwealth Bank of Australia, and Ford Motors.

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