Foundations of Data Analytics

Gain a profound understanding of the practicality and significance of data-driven insights in today's decision-making landscape

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An outline of this training course

Explore the 'Foundations of Data Analytics' course, designed for newcomers to grasp the vast world of data analytics. Starting with an introduction to data types and the importance of clean data, the course progresses through essential steps of data cleaning and preparation. Engage in modules on visualization, using tools like Tableau and PowerBI to turn complex data into clear visuals, and dive into statistical and predictive analytics. By the end, you’ll be ready to turn data into actionable insights and understand the career opportunities in data analytics versus data science. Join us to confidently navigate the data analytics landscape!

 

What is needed to take this course 

Participants should have a basic grasp of data concepts, with familiarity in tools like Excel beneficial but not mandatory. The course is tailored for beginners, with no specialized analytics tool expertise required.

 

Who is this course for

Professionals in business, IT, research, or entrepreneurship aiming to harness the power of data analytics, as well as students and career-shifters seeking a foundational understanding of the field.

 

Details of what you will learn in this course

By the end of this course, you will:

  • Grasp core principles of data analytics
  • Differentiate structured vs. unstructured data
  • Master data cleaning and preparation techniques
  • Understand and apply effective data visualization
  • Dive into predictive analytics and modeling

 

What you get with the course

  • The Foundations of Data Analytics course is segmented into seven insightful chapters, each focusing on a distinct facet of data analytics.
  • The course materials are provided in both text and interactive formats, organized chapter-wise.
  • There are three quizzes spread across the course and one comprehensive assessment at the end to test knowledge absorption.

 

Program Level

Beginner

 

Field(s) of Study

Data Analytics & Business Intelligence

 

Instruction Delivery Method

QAS Self-study

 

***This course was published in September 2023.

 

Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org

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Students Say
Curriculum
1

Course Overview


2

Introduction


3

Data Types and Importance


4

Data Cleaning & Preparation


5

Data Visualization


6

Statistics and Predictive Analytics


7

Data Career


8

Conclusion and Next Steps


Your

Instructor
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Sam McKay

CEO & Founder

  • Sam is Enterprise DNA's CEO & Founder. He helps individuals and organizations develop data-driven cultures and create enterprise value by delivering business intelligence training and education on Microsoft’s Power BI platform
  • He partners with business decision-makers and analysts across all industries and business functions.

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