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Business Analytics Using R

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Business Analytics Using R

Analytics is the new must have skill. However, for many practitioners, the definition and scope of Analytics is a question many are struggling to answer. Is it Hadoop, Python or is it Statistics, even visualization is said to be analytics. How we get started, do we need to know coding and statistics or database knowledge? These some of the questions being asked by many.

This course is the first of its kind to Introduce Analytics and its application in different business scenarios to process improvement professionals. We aim to take practitioners through the myriad set of activities that form part of Analytics projects. We will cover concepts, tools and techniques as well as demystify the various concepts associated with Business Analytics.

This 3-Day workshop will help practitioners who want to get introduced with Analytics to know clearly what is involved and what will be areas that they can tap into. This involves hands-on exercises with multiple tools of analytics, advanced predictive concepts, multiple business scenarios and case studies to work on to ensure that participants familiarized with the discipline of business analytics.


Workshop Objectives and Deliverables

Participants will understand the key aspects of the Business Analytics and what is involves. The keys benefits of the workshop are that it will help the participants to:

  • Understand the concepts associated with business analytics
  • Understand the application of key concepts in business analytics
  • Learn and Use popular business analytics tools
  • Understand associated challenges and how to manage them
  • Demystify the different terms and concepts used in analytics
This course is recommended for executives, managers, and professionals who are in keen to get into the field of analytics and would like to know the full chain involved.
This includes:

  • Managers driving organizational initiatives
  • Six Sigma Professionals
  • Industry professionals
  • Information Management Specialists in the organization
  • Process and metrics specialists providing information and dashboards to executive management

The following are the topics that will be covered in the workshop:

  • Introduction to business analytics
    • Define Analytics and terms associated
    • Use cases of application of analytics
    • Analytics Lifecycle Using CRISP-DMMethodology
  • Data Management and Wrangling
    • Data Management and Maturity
    • Data Cleaning and Wrangling
  • Visual Exploration of Data
    • Data Visualization- Principles and Approach
    • Creating data stories
  • Introducing R and Rattle
    • R, R Studio, Rattle
    • Graphing and Exploratory Data Analysis
  • Advanced Data Analysis and Interpretation using R
    • Advanced Statistics and Interpretation in the business context
      • Linear regression
      • Decision Trees
      • Random Forests
      • Boosting
      • Logistic regression
      • Clustering and Segmentation
      • Text Analytics
    • Summary
      • Demo of few other techniques


Duration

Three Day, Full-time, Instructor Led Workshop.

The workshop is driven by case-studies and exercises for participants to get hands-on understanding of the concepts covered. A myriad of analytics tools will be covered during this course like Trifacta, Tableau and R

A quiz will be conducted at the end of the workshop.

All participants who attend all the sessions will receive a participation certificate.

Get 10% discount on a group of 4 or more nominations! (Discount will be applied during checkout)
Only applicable for selected batches and courses.

Business Analytics Using R

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