Small data refers to datasets that are small in volume or scope, typically analyzed manually or with simpler tools, and can reveal valuable insights that might be overlooked in larger datasets. Browse our courses below and build the skills you need to discover the hidden insights and opportunities that small data can offer.
Small Data Courses
courseStatistics for Data Science
Learn the statistical concepts and techniques you need to conduct rigorous inferential analysis and draw accurate conclusions from data sets.
Skills Covered
Data Wrangling, Matplotlib, Bootstrapping, Pandas & NumPy, Statistics
Prerequisites
Python & SQL
intermediate1 MonthIn collaboration with:
Mode
In collaboration with:
Mode
courseIntroduction to Python
Tackle the fundamentals of Python, one of the most popular programming languages used to build websites and software, automate tasks, and conduct data analysis.
Skills Covered
Python, Numpy & Pandas, SQL, Git & GitHub
Prerequisites
No Experience Required
beginner1 MonthIn collaboration with:
Mode
In collaboration with:
Mode
courseIntroduction to SQL
Become an SQL power user with the ability complete complex tasks in SQL, including cleaning data and tuning the performance of your queries so they run quickly—even over giant data sets.
Skills Covered
SQL, PostgreSQL, JOINs, Subqueries, Window Functions, Partitions, Data Cleaning, DDL, DML, Relational and Non-Relational Databases
Prerequisites
Basic understanding of data types
intermediate1 MonthIn collaboration with:
Mode
In collaboration with:
Mode
courseIntroduction to Data Science
Learn one of the most battle-tested, internationally-recognized processes for solving data-science problems.
Skills Covered
Machine Learning, data science
Prerequisites
Python, SQL, Statistics, Machine Learning
intermediate1 MonthIn collaboration with:
Bertelsmann, Appen, IBM Watson, Insight, Kaggle, Starbucks
In collaboration with:
Bertelsmann, Appen, IBM Watson, Insight, Kaggle, Starbucks
courseSQL for Data Analysis
By the end of this course, you’ll be able to use SQL to query multiple tables, join data together from different sources, and even extract key business insights from retail databases.
Skills Covered
SQL, PostgreSQL, JOINs, Relational and Non-Relational Databases
Prerequisites
Familiarity with data types and data visualization
intermediate1 MonthIn collaboration with:
Mode
In collaboration with:
Mode
nanodegreeProgramming for Data Science with Python
Learn the fundamental programming tools for data professionals: Python, SQL, terminal, and Git.
Skills Covered
Python, Numpy, Pandas, SQL, Git, GitHub
Prerequisites
None
beginner3 Months1563 reviewsIn collaboration with:
Mode
In collaboration with:
Mode
nanodegreeIntermediate Python
Learn how to plan, design, and implement enterprise data infrastructure solutions and create the blueprints for your organization’s data success.
Skills Covered
Python, Object-Oriented Programming, Modular code, Python Package Index
Prerequisites
Basic Python
intermediate2 Months153 reviews
nanodegreeBusiness Analytics
Gain foundational data skills like analyzing data, modeling business scenarios, and communicating findings.
Skills Covered
Excel/Spreadsheets, SQL, Data Visualization, Data Dashboards
Prerequisites
None
beginner3 Months2669 reviewsIn collaboration with:
Mode
In collaboration with:
Mode
nanodegreeData Analyst
Use Python, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.
Skills Covered
Data Wrangling, Matplotlib, Bootstrapping, Pandas, NumPy, Statistics
Prerequisites
Python & SQL
intermediate4 Months3500 reviewsIn collaboration with:
Kaggle
In collaboration with:
Kaggle
freeIntro to Data Analysis
Explore a variety of datasets, posing and answering your own questions about each. You'll be using the Python libraries NumPy, Pandas, and Matplotlib.
Skills Covered
Data Analysis, Python, Numpy, Pandas
beginner6 Weeks