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ExcelR Business Analytics Courses

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bhagyashree
ExcelR Business Analytics Courses

ExcelR offers a Business Analytics course that aims to equip participants with the skills and knowledge needed to excel in the field of business analytics. As of my last knowledge update in January 2022, I can provide you with a general overview of what ExcelR's Business Analytics course typically includes. However, please note that course details may have changed since then, so it's advisable to visit the official ExcelR website or contact them directly for the most up-to-date information.

The ExcelR Business Analytics course often covers the following key topics:

  1. Introduction to Business Analytics:
  • Understanding the fundamentals of business analytics.
  • Exploring the role of analytics in decision-making.
  1. Statistical Analysis using R and Python:
  • Learning statistical concepts and their application in analytics.
  • Hands-on experience with programming languages like R and Python for statistical analysis.
  1. Data Exploration and Visualization:
  • Exploring and cleaning data.
  • Creating visualizations to gain insights from data.
  1. Predictive Modeling:
  • Understanding and applying predictive modeling techniques.
  • Building and evaluating predictive models.
  1. Machine Learning Algorithms:
  • Introduction to various machine learning algorithms.
  • Hands-on implementation of machine learning models for business problems.
  1. Big Data Analytics:
  • Handling large datasets.
  • Introduction to big data technologies and tools.
  1. Text Analytics and Social Media Analytics:
  • Analyzing unstructured data such as text and social media content.
  1. Optimization Techniques:
  • Using optimization techniques for decision-making and resource allocation.
  1. Case Studies and Real-World Projects:
  • Applying analytics skills to real-world business problems through case studies and projects.
  1. Business Intelligence and Reporting:
  • Building dashboards and reports for effective communication of insights.
  1. Capstone Project:
  • Culminating the course with a hands-on capstone project where participants can apply their skills to solve a practical business problem.

Before enrolling, it's advisable to check the specific details of the course, including the duration, schedule, prerequisites, and any certifications offered upon completion. Additionally, you may want to read reviews or testimonials from previous participants to get an idea of the course's effectiveness and the learning experience.


For More details visit us:

ExcelR- Data Science, Data Analyst, Business Analyst Course Training Chennai

Block-B,1st Floor, HansaBuilding RK SwamyCentre, 147, Pathari Rd, Thousand Lights, Chennai, Tamil Nadu 600006

085913 64838

[email protected]

https://goo.gl/maps/28nB6YijuN47wMVm8

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