About the Course

This Course Combines Simple Statistical and Data Visualization tools to give Participants the Skills They Need to Analyze Data. Participants Should be Able to Execute the Required Financial Analysis Using Strong Tools by the end of this Course. As an Analyst, Manager, or Consultant, You'll Need to understand financial data. CPA has become one of the most sought-after courses in the field of accounting in recent times. With global recognition, the CPA license allows you to get a job easily. However, to get the CPA license, one must meet all the requirements including education, work experience, and clearing the exams. While it is considerably difficult to clear the CPA exam, proper guidance and training makes things a lot easier. Simandhar Education also offers other relevant courses that students can take up to further increase their skillset and land better jobs.

Data Analytics

Key Topics

How to Develop a Data-Driven Mindset

How to Approach a Data Analytics Project

Understanding Data and the Data Ecosystem

Skills Gained Through Data Analytics

  1. Recall the Analytical and Data-Driven Mindset's Characteristics.
  2. Recognize how to set business or client objectives and desired outcomes for a data analytics project.
  3. Recognize the various methods for describing and interpreting data.
  1. Identify the Types and Categories of Data.
  2. Recognize the Technology and Data Ecosystem's Characteristics for Data Analytics.
  3. Recognize the Relationship Between Data Science and Data Analytics.

Data Visualization

Key Topics

  1. Communicating Insights from Data
  2. Making Decisions from Data
  3. Ways to Visualize Data
  1. Setting up Business Intelligence in Organizations
  2. Components of BI Platforms
  3. Design Principles for Visualizing Data

How Underlying Data Architecture Affects Reporting and Predictive Analytics Techniques

Skills Gained Through Data Analytics

  1. Create a data story that includes visualisations.
  2. Determine the perspectives of key stakeholders.
  3. Determine the data requirements of the organisation.
  1. Distinguish Between Common Business Intelligence Frameworks
  2. Best Practices for Recall Visualization.
  3. Share Data Stories Across the Organization Using Visualization Tools.

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