Build expertise in data manipulation, visualization, predictive analytics, machine learning, and data science. With the skills you learn in a Nanodegree program, you can launch or advance a successful data career. Start acquiring valuable skills right away, create a project portfolio to demonstrate your abilities, and get support from mentors, peers, and experts in the field. We offer five unique programs to support your career goals in the data science field.
Concepts Covered: Business Strategy, Data Science, Data Architecture, Machine Learning, Human Capital
Concepts Covered: Product Management, Monetization Models, Pricing Strategy, Buyer Personas, Lifetime Value, Customer Acquisition Cost, Pricing Metrics, Growth Strategy
Concepts Covered: Data Science, Product Management, Product Design, Data Visualization, User Journey Maps
Concepts Covered: SQL, PostgreSQL, JOINs, Subqueries, Window Functions, Partitions, Data Cleaning, DDL, DML, Relational and Non-Relational Databases
Concepts Covered: Data Streaming, Spark, Kafka, Kafka Streaming, Spark Streaming
Concepts Covered: Excel & Spreadsheets, SQL, Data Visualization, Data Dashboards
Concepts Covered: R, SQL, Git
Concepts Covered: Machine Learning, Deep Learning, Software Engineering
Concepts Covered: Data Visualization, Tableau, Dashboards, Data Storytelling
Concepts Covered: Data Wrangling, Matplotlib, Bootstrapping, Pandas & NumPy, Statistics
Concepts Covered: Python, Numpy & Pandas, SQL, Git & GitHub
Concepts Covered: Data Wrangling, Classification, A/B Testing, Forecasting, Segmentation
Concepts Covered: Data Modeling, Data Pipelines, Data Lakes, Spark, Airflow
Concepts Covered: Entity relationship diagrams, Relational Data Design, Online Analytical Processing, Operational Data Stores, Data Lake Architecture, Data Governance
Successful Data Analysts have a unique set of skills, and represent important value to organizations eager to make data-powered business decisions. Combine skills in programming and statistical analysis to uncover insights, communicate critical findings, and create data-driven solutions.
Successful Data Analysts have a unique set of skills, and represent important value to organizations eager to make data-powered business decisions. Combine skills in programming and statistical analysis to uncover insights, communicate critical findings, and create data-driven solutions.
There is a shortage of qualified Data Scientists in the workforce, and individuals with these skills are in high demand. Build skills in programming, data wrangling, machine learning, experiment design, and data visualization, and launch a career in data science.
Machine Learning, Deep Learning, Software Engineering
Data Wrangling, Matplotlib, Bootstrapping, Pandas & NumPy, Statistics
Python, Numpy & Pandas, SQL, Git & GitHub
There is a shortage of qualified Data Scientists in the workforce, and individuals with these skills are in high demand. Build skills in programming, data wrangling, machine learning, experiment design, and data visualization, and launch a career in data science.
Data Streaming, Spark, Kafka, Kafka Streaming, Spark Streaming
Python, Numpy & Pandas, SQL, Git & GitHub
Data Modeling, Data Pipelines, Data Lakes, Spark, Airflow
Gain analytics skills without learning to program. You'll build skills in Excel and SQL, analyze real datasets, and visualize your findings to address business intelligence needs in many industries.
Real-world projects from industry experts
Technical mentor support
Career services
Flexible learning program