Augmented Analytics 101

Name: Augmented Analytics 101
Rating: 5.0 (3 reviews)

Unlock smarter business decisions with AI-powered analytics, NLP, machine learning, and real-world use cases

Created byEzenith Education

Last updated 7/2025

English

What you'll learn

What augmented analytics is and why it matters in modern decision-making
Use NLP and AI-driven tools to explore and act on data
Evaluate platforms like Power BI, Tableau, Qlik, and ThoughtSpot
Implement analytics workflows and promote adoption across departments

Course content

8 sections • 25 lectures • 43m total length

Introduction2:02
In this opening video, you'll get a quick overview of what augmented analytics is and why it's a game-changer for modern professionals. Discover how AI, machine learning, and natural language processing are transforming the way we analyze and act on data—without the need for coding or technical expertise. This session will also walk you through what to expect from the course and how to get the most out of your learning journey.

What is Augmented Analytics?3:20
Explains the core concept of augmented analytics, how it blends AI with business intelligence, and what makes it revolutionary.
Key Technologies Behind Augmented Analytics2:05
Breaks down core technologies including AI, machine learning, NLP, and automated data prep.
Augmented Analytics in Action – Real-World Use Cases1:54
Covers use cases in retail, healthcare, finance, marketing, and HR to showcase practical applications.
Benefits and Limitations of Augmented Analytics2:11
Offers a balanced view—covering improved insights and risks like over-reliance and data privacy.

Natural Language Processing (NLP) in Analytics1:56
Demonstrates how users can query data using plain language and receive visual, AI-generated answers.
Machine Learning for Insight Generation1:34
Shows how ML algorithms detect patterns, predict trends, and recommend actions automatically.
Automated Data Preparation and Cleansing1:30
Discusses how AI simplifies cleaning, formatting, and integrating datasets.
Data Storytelling and Actionable Recommendations1:35
Explains how platforms narrate insights and suggest business actions based on the data.

Overview of Leading Platforms1:59
Surveys Power BI, Tableau, Qlik, SAS, and ThoughtSpot.
Comparing Features and Use Cases1:51
Breaks down capabilities like NLP, predictive analytics, and industry alignment.
How to Evaluate and Choose the Right Platform1:49
Offers a step-by-step decision framework.
Getting Started with Your First Augmented Analytics Tool1:45
Walks learners through setup and exploration using trial tools.

Integrating Augmented Analytics into Daily Tools1:23
Shows how to embed analytics into CRMs, ERPs, and messaging platforms.
Department-Level Use Cases1:17
Demonstrates analytics in sales, marketing, operations, HR, and finance.
Driving User Adoption and Overcoming Resistance1:28
Provides strategies to build trust, reduce fear, and train teams.
Measuring Success and ROI of Augmented Analytics1:20
Introduces KPIs to track adoption, efficiency, and outcomes.

Emerging Trends in Augmented Analytics1:37
Discusses conversational analytics, embedded AI, and real-time insights.
Ethical and Privacy Considerations1:36
Covers GDPR, bias, transparency, and data ownership.
Preparing for a Data-Driven Culture1:23
Highlights organizational change, training, and leadership.
Career Opportunities in Augmented Analytics1:32
Introduces new roles like citizen data scientist and ethics officers.

What’s Next After This Course?2:03
Congratulations on completing Augmented Analytics 101! In this closing video, we’ll summarize the key takeaways, help you identify your next steps, and share how to continue growing your skills. Whether you're looking to apply these tools at work, lead smarter data discussions, or explore career opportunities in analytics—this is your springboard. Let’s talk about how to keep the momentum going and become a true data-driven decision-maker.

Requirements

No prior coding or analytics experience needed. Just bring curiosity and a desire to make smarter decisions.

Description

In a world overflowing with data, finding clear, actionable insights can feel overwhelming. Augmented Analytics 101 is your gateway to mastering the next generation of business intelligence—where artificial intelligence (AI) and machine learning simplify data analysis for everyone.

This beginner-friendly course introduces you to augmented analytics: a powerful blend of AI, natural language processing (NLP), and automation that transforms raw data into meaningful recommendations. Whether you’re a business professional, team leader, analyst, or entrepreneur, this course shows how you can make smarter decisions—without needing to code or rely on data scientists.

Through short, focused video lessons and real-world examples, you’ll learn:

What augmented analytics is and why it’s essential today
How AI tools uncover trends, explain insights, and guide decisions
Practical use cases in marketing, finance, HR, operations, and more
How to embed analytics in your daily tools, drive adoption, and measure ROI

You’ll also explore information about the top platforms like Power BI, Tableau, Qlik, and ThoughtSpot, and get a roadmap to start your first augmented analytics project with confidence. We’ll cover common mistakes to avoid, ethical and privacy considerations, and how to future-proof your career in this growing field.

By the end of this course, you won’t just understand the theory—you’ll be ready to apply it, lead data-driven conversations, and bring AI-powered insights into your role and organization.

The future of analytics is here. Let’s help you lead it.

Who this course is for:

This course is for business professionals, analysts, team leads, and anyone interested in applying AI to simplify and enhance data-driven decisions—no technical background required.

Augmented Analytics 101

What you'll learn

Explore related topics

Course content

Welcome to Augmented Analytics 1011 lecture • 2min

Introduction to Augmented Analytics4 lectures • 10min

Core Components of Augmented Analytics4 lectures • 7min

Tools & Platforms for Augmented Analytics4 lectures • 7min

Embedding Augmented Analytics into Business Workflows4 lectures • 5min

The Future of Augmented Analytics4 lectures • 6min

Implementing Augmented Analytics – Next Steps3 lectures • 4min

What’s Next After This Course?1 lecture • 2min

Requirements

Description

Who this course is for: