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Advanced Business Analytics Program

Duration: 4 Months
Course Type: Offline Sessions

            Our Advanced Business Analytics Training Program is tailored for business professionals and analysts seeking to elevate their analytical skills and gain a competitive edge in today’s data-driven business landscape. This program offers an intensive and advanced curriculum, focusing on the strategic application of data analysis, predictive modeling, and data-driven decision-making. Participants will delve into advanced techniques, tools, and methodologies, enabling them to extract actionable insights, optimize processes, and drive innovation within their organizations.

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. Business Intelligence (BI) Tools:
    • Tableau: A leading data visualization tool that allows users to create interactive and shareable dashboards and reports.
    • Power BI: Microsoft’s BI tool for creating data visualizations and sharing insights.
  2. Statistical Analysis and Modeling Tools:
    • R: A powerful language for statistical analysis, data modeling, and predictive analytics.
    • IBM SPSS: Software for statistical analysis, modeling, and data mining.
    • SAS: A comprehensive analytics suite for advanced statistical analysis.
  3. Data Warehousing and ETL Tools.
    • Amazon Redshift: A data warehousing service for running complex queries on large datasets.
    • Google BigQuery: A serverless, highly scalable data warehousing solution.
  4. Predictive Analytics Tools:
    • IBM Watson Analytics: A tool that combines predictive analytics with AI capabilities.
    • Alteryx: A platform for data blending, advanced analytics, and predictive modeling.
  5. Dashboard and Reporting Tools:
    • Domo: A cloud-based platform for creating interactive dashboards and reports.
    • Looker: A data exploration and business intelligence tool.
  6. Data Mining Tools:
    • RapidMiner: An integrated data science platform with machine learning and data mining capabilities.
    • Weka: A collection of machine learning algorithms for data mining tasks.
  7. Text and Sentiment Analysis Tools:
    • MonkeyLearn: A text analysis tool for extracting insights from unstructured text data.
    • Lexalytics: A text and sentiment analysis software.
  8. Market Research and Survey Tools:
    • SurveyMonkey: An online survey and market research tool.
    • Qualtrics: A platform for experience management and market research.
Want to know more?

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

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