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Advanced Data Analytics for Business Analysts

Our Advanced Data Analytic for Business Analysts training programme will help you improve your data analysis skills. Learn advanced approaches and tools for analyzing and interpreting large amounts of data in order to make more informed business decisions.

Live Course

Live Class: Tuesday, 05 Mar

Duration: 45 Hours

Enrolled: 2

Offered by: infyni

(2)

Live Course

About Course

Infyni's live course in Advanced Data Analytics makes your business smarter by uncovering patterns and building predictions using data, algorithms, machine learning and AI techniques. 

Business intelligence provides an insightful summary of past and current data. Whereas advanced analytics (AA) goes a step further by using sophisticated modelling techniques to predict future events or discover patterns that can’t be detected otherwise. While business intelligence is focused on reporting and querying, advanced analytics is about optimizing, correlating, and predicting the next best action or the next most likely action.

Advanced analytics data includes structured data as well as unstructured data (like videos, photos, and other media files, internet-of-things devices, and web data) that requires transformation before it can be analysed.


Skills You Will Gain

Data Visualization Dashboard Design Data Communication Predictive Modelling Tableau Pre Builder Integrating PYTHON with TABLEAU

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor (1)
  • Reviews
  • Introduction
  • Data design fundamentals
  • Designing charts
  • Visualising complex relationships
  • Introduction
  • Getting started with TABLEAU
  • Getting charts in TABLEAU
  • Interactive visualisation
  • Introduction
  • Dashboards and business metrics
  • Dashboard design
  • Creating dashboards in Tableau
  • Wrap up
  • Introduction
  • Accessible dashboards
  • Communicating insights
  • Supporting dashboard adoption
  • Wrap up
  • Introduction
  • Predictive analysis
  • Modelling and inferential statistics
  • Predictive models and forecasting
  • Wrap up
  • Introduction
  • Ethics and analytics
  • New ways of working for data analysts
  • Next steps
  • Wrap up
  • Cleanup raw data using TABLEAU prep builder
  • Cleanup raw data using PYTHON
  • Integrating PYTHON with TABLEAU for acceleration of performance
  • Developing deep learning models
  • Fine tuning data

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