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Data Analytics Syllabus
Analyze and visualize data to support decision-making using analytical tools and techniques across the full analytics lifecycle. The full Data Analytics syllabus: 7 subjects, 37 chapters and 163 topics, with 357 flashcards written against it.
Data Analytics subjects
Data Analytics has 7 subjects. Each one is listed below with its chapters in syllabus order; open a subject for every topic and sub-topic inside them.
Foundations of Data Analytics
- Introduction to Data Analytics · 4 topics
- Types of Analytics · 4 topics
- The Data Analysis Lifecycle · 6 topics
- Data Types and Sources · 5 topics
- Data Ethics, Privacy and Governance · 5 topics
Statistics and Probability for Analytics
- Descriptive Statistics · 4 topics
- Probability Fundamentals · 4 topics
- Probability Distributions · 4 topics
- Inferential Statistics · 4 topics
- Hypothesis Testing · 6 topics
- Correlation and Regression Basics · 4 topics
Data Wrangling and SQL
- Spreadsheets for Analysis · 4 topics
- Relational Databases · 4 topics
- SQL Fundamentals · 4 topics
- SQL Aggregation and Joins · 4 topics
- Advanced SQL · 5 topics
- Data Cleaning and Preparation · 6 topics
Programming for Analytics with Python
- Python Fundamentals · 4 topics
- NumPy for Numerical Computing · 4 topics
- Data Manipulation with Pandas · 6 topics
- Cleaning Data in Python · 4 topics
- Visualization Libraries · 4 topics
Exploratory Data Analysis and Visualization
- Exploratory Data Analysis · 5 topics
- Principles of Data Visualization · 4 topics
- Chart Types and Use Cases · 5 topics
- Tableau · 5 topics
- Power BI · 4 topics
- Dashboard Design and Storytelling · 4 topics
Predictive Analytics and Modeling
- Regression Analysis · 4 topics
- Introduction to Machine Learning · 4 topics
- Classification and Clustering · 4 topics
- Model Evaluation · 4 topics
- Time Series Analysis · 4 topics
Big Data and Modern Data Infrastructure
- Big Data Concepts · 4 topics
- Data Warehousing and ETL · 4 topics
- Business Intelligence · 4 topics
- Applied Analytics and Capstone · 5 topics
Data Analytics flashcards
357 question-and-answer cards across 7 subject decks, each shown in full on its subject page.
- Foundations of Data Analytics — 50 cards
- Statistics and Probability for Analytics — 51 cards
- Data Wrangling and SQL — 51 cards
- Programming for Analytics with Python — 50 cards
- Exploratory Data Analysis and Visualization — 53 cards
- Predictive Analytics and Modeling — 51 cards
- Big Data and Modern Data Infrastructure — 51 cards
Data Analytics syllabus FAQ
What subjects are in the Data Analytics syllabus?
Data Analytics covers 7 subjects: Foundations of Data Analytics, Statistics and Probability for Analytics, Data Wrangling and SQL, Programming for Analytics with Python, Exploratory Data Analysis and Visualization, Predictive Analytics and Modeling and Big Data and Modern Data Infrastructure.
How many chapters and topics are in the Data Analytics syllabus?
37 chapters and 163 topics, across 7 subjects. Data Wrangling and SQL is the largest subject, with 27 topics in 6 chapters.
Are there Data Analytics flashcards?
Yes — 357 question-and-answer flashcards in 7 subject decks. Each deck is printed in full on its subject page here, and the same cards are in the Examius app with spaced repetition. The free plan covers one exam of your choice, including its flashcards; Examius Pro, a one-time purchase, unlocks every other exam and deck.
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