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Advanced Data Analytics Program

Duration: 4 Months
Course Type: Offline Sessions

            Our Advanced Data Analytics Training Program is designed for professionals and aspiring data analysts seeking to master advanced techniques in data analysis, interpretation, and decision-making. This comprehensive program goes beyond the basics, delving into sophisticated data analytics methodologies, statistical modeling, machine learning, and big data technologies. Participants will gain the expertise needed to extract valuable insights from complex datasets and drive data-informed strategies in various industries.

Key Features

  1. 100% Job Guaranteed: The candidates who are admitted for the training program will be directly absorbed by Zestlogic Systems
  2. Comprehensive Curriculum: A carefully crafted curriculum covering essential theoretical knowledge and hands-on practical skills in the chosen field.
  3. Expert Instruction: Training led by experienced instructors and industry experts, offering in-depth insights and real-world examples to enhance learning.
  4. Hands-on Experience: Practical, hands-on sessions and projects allowing participants to apply the learned concepts in real-world scenarios, reinforcing understanding and skill development.
  5. Interactive Learning: Engaging workshops, group discussions, and interactive sessions fostering collaboration, problem-solving, and knowledge exchange among participants.
  6. Industry-Relevant Content: Training content designed to align with current industry trends, best practices, and emerging technologies, ensuring participants receive relevant and up-to-date knowledge.
  7. International Projects: Opportunities to work on International projects or case studies, allowing participants to apply their skills to solve practical challenges and build a portfolio of work.

Key Topics:

  1. Programming Languages
    • Python: A versatile language with numerous libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.
    • R: A language specifically designed for statistics and data analysis, with a wide range of packages like ggplot2 and dplyr.
  2. Data Visualization Tools:
    • Tableau: A popular tool for creating interactive and shareable dashboards.
    • Power B: Microsoft’s data visualization tool for business intelligence.
  3. Statistical Analysis Tools:
    • SPSS: Software for statistical analysis and modeling.
    • SAS: A suite of software solutions for advanced analytics, business intelligence, and data management.
  4. Big Data Tools:
    • Hadoop: An open-source framework for processing and storing large datasets.
    • Apache Spark: A fast and general-purpose cluster computing system for big data processing.
    • Hive: A data warehouse infrastructure built on top of Hadoop for querying and analysis.
  5. Database Management Systems:
    • SQL: Structured Query Language for querying and managing relational databases.
    • NoSQL: Databases like MongoDB and Cassandra for handling unstructured or semi-structured data.
  6. ETL (Extract, Transform, Load) Tools:
    • Apache NiFi: An open-source data integration tool for moving data between systems.
    • Talend: An open-source ETL tool for data integration and transformation.
Want to know more?

We understand the importance of approaching each work integrally and believe in the power of simple.

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(10am - 05 pm)
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