Data Analyst - Pathway

This class was created by Brainscape user Teal Data Analyst ..

By:
Teal Data Analyst .
Start Studying

Decks in this class (33)

1.1 - Nature of Data
This subtheme helps you understand what data is, the different types, and where it comes from so you can reason about it effectively before analyzing.
12  cards
1.2 - Measurements & Variables
Learn how characteristics of the world are captured as variables and how to classify and think about them conceptually.
12  cards
1.3 - Data Sources
Discover where data comes from and how to judge its reliability and relevance for analysis.
12  cards
1.4 - Data Structures & Relational Thinking
Understand how data is organized conceptually into tables, fields, and relationships to make sense of information.
12  cards
1.5 - Data Quality & Cleaning
Learn why clean, accurate, and consistent data is essential and how to recognize common issues before analysis.
12  cards
1.6 - Data Analysis Process
See how analysts approach questions in a structured, repeatable way, from asking questions to sharing insights.
12  cards
1.7 - Ethics & Responsible Analytics
Understand how to handle data responsibly, considering fairness, privacy, and transparency in your work.
12  cards
1.8 - Introduction to Analytical Thinking
Develop a mindset for asking good questions, spotting patterns, and thinking critically about data.
12  cards
2.1 - Spreadsheet Analytics
Learn to organize, calculate, and visualize data using spreadsheets to explore and summarize information.
12  cards
2.2 - Relational Databases & SQL Basics
Understand how data is stored and queried conceptually using tables and simple queries.
12  cards
2.3 - Programming Foundations
Gain a basic understanding of coding concepts to manipulate and explore data efficiently.
12  cards
2.4 - Data Visualization Tools
Learn to represent data visually to discover insights and communicate them clearly.
12  cards
2.5 - Workflow & Documentation Practices
Adopt best practices for organizing, tracking, and documenting your data work.
11  cards
3.1 - Descriptive Statistics
Learn how to summarize and describe data using key statistical measures to understand patterns and trends.
12  cards
3.2 - Probability & Uncertainty
Understand how chance and uncertainty affect data, and how probability helps quantify and reason about risk.
12  cards
3.3 - Sampling & Data Exploration
Learn how to select representative data samples and explore datasets to discover trends, patterns, and anomalies
12  cards
3.4 - Relationships & Correlations
Learn how to identify and interpret relationships between variables to uncover patterns and insights in data.
12  cards
3.5 - Introduction to Predictive Thinking
Develop a mindset for using data to anticipate future outcomes and make informed predictions.
12  cards
3.6 - Conceptual Data Modeling
Learn how to think about data in terms of models that represent relationships, patterns, and predictions.
12  cards
4.1 - Problem Framing & Analytical Question Design
Learn to define business or research problems clearly and translate them into precise analytical questions.
12  cards
4.2 - Analysis Types
Learn to distinguish and apply the four types of analytics to answer different business or research questions effectively.
12  cards
4.3 - KPI Design & Performance Measurement
Learn how to define meaningful KPIs and measure performance to track progress toward goals.
12  cards
4.4 - Dashboard Strategy & Reporting
Learn to design dashboards and reports that effectively communicate insights and support decision-making.
12  cards
4.5 - Analytical Communication & Storytelling
Learn to turn data insights into clear, compelling stories that inform decisions and engage stakeholders.
12  cards
4.6 - Domain Context Applications
Learn how to apply analytical thinking and methods within specific domains to solve real-world problems effectively.
12  cards
4.7 - Ethics in Practice & Responsible Decision-Making
Learn how to make responsible, ethical decisions when analyzing data, ensuring fairness, transparency, and trustworthiness.
12  cards
5.1 - Introduction to AI in Analytics
Learn how artificial intelligence can augment data analysis, automate tasks, and support predictive and prescriptive decision-making.
12  cards
5.2 - Machine Learning Basics
Learn the basic concepts of machine learning and how it can be applied to analyze data, make predictions, and support decisions.
12  cards
5.3 - AI in Data Workflows
Learn how AI can automate and enhance steps in the data workflow, from collection to decision-making.
12  cards
5.4 - Responsible AI
Learn how to ensure AI is used ethically, fairly, and transparently in data analysis and decision-making.
12  cards
5.5 - Prompting & AI Tools
Learn how to leverage AI tools effectively using good prompting practices to enhance data analysis and decision-making.
12  cards
5.6 - Evaluating AI Outputs
Learn to critically evaluate AI-generated outputs to ensure they are accurate, reliable, and actionable for decision-making.
12  cards
5.7 - AI Case Studies
Learn from real-world AI applications to understand best practices, challenges, and practical impacts in analytics.
12  cards

More about
Data Analyst - Pathway

  • Class purpose General learning

The Data Analyst Pathway by Teal Data Analyst is a structured, 5-level digital program designed to take you from foundational concepts to the forefront of modern analytics. Whether you’re pivoting careers, building professional skills, or enhancing your data fluency, this pathway guides you step by step through the essential thinking, tools, and methods of a modern data analyst. Progress through Data Analysis Foundations, Technical Foundations, Statistical & Analytical Methods, Applied Analytics, and AI & Advanced Analytics, gaining conceptual understanding and practical reasoning along the way. Learn how to work with relational databases, spreadsheets, Python, SQL, Tableau, and Power BI — all in a conceptual, tool-agnostic way — and understand how AI and machine learning are shaping the future of analytics. This pathway is digital-only, structured, and practical, giving you the skills to analyze, interpret, and communicate insights confidently, while applying critical thinking, responsible practices, and emerging technologies to real-world scenarios.

How studying works.

Brainscape's adaptive web mobile flashcards system will drill you on your weaknesses, using a pattern guaranteed to help you learn more in less time.

Learn more about spaced repetition

Add your own flashcards.

Either request "Edit" access from the author, or make a copy of the class to edit as your own. And you can always create a totally new class of your own too!

What's Brainscape anyway?

Brainscape is a digital flashcards platform where you can find, create, share, and study any subject on the planet.

We use an adaptive study algorithm that is proven to help you learn faster and remember longer....

Brainscape helps you reach your goals faster, through stronger study habits.
© 2026 Bold Learning Solutions. Terms and Conditions