Foundations of Data Analytics

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

2 hours
0 videos
30 exercises
240 xp

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An outline of this training course

Dive into the 'Foundations of Data Analytics' course, meticulously crafted to mirror the expansive realm of data analytics today. This course is structured for those stepping into the field, illuminating core concepts while seamlessly blending them with real-world applications.

Beginning with a robust introduction to what data analytics entails, participants will traverse the terrain of data types, appreciating the significance of structured and unstructured data. As the course unfolds, learners are guided through the crucial steps of data cleaning and preparation, understanding why 'clean' data is the bedrock of effective analytics.

With a dedicated module on visualization, participants will explore tools like Tableau and PowerBI, mastering the art of translating complex data into comprehensible visuals. The course further delves into statistical analysis, predictive analytics, and an invaluable segment on career pathways in the data realm, distinguishing between data analytics and data science.

By the course's conclusion, participants will be equipped to navigate the data analytics landscape, translating data into actionable insights with confidence.

 

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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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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