Data Science for Business Leaders
Concepts Covered: Business Strategy, Data Science, Data Architecture, Machine Learning, Human Capital
The School of
Data Science
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.
Programs Starting Soon
- Top Rated!
Data Product Manager
Concepts Covered: Data Science, Product Management, Product Design, Data Visualization, User Journey Maps
- Top Rated!
SQL
Concepts Covered: SQL, PostgreSQL, JOINs, Subqueries, Window Functions, Partitions, Data Cleaning, DDL, DML, Relational and Non-Relational Databases
Data Streaming
Concepts Covered: Data Streaming, Spark, Kafka, Kafka Streaming, Spark Streaming
- Popular!
Business Analytics
Concepts Covered: Excel & Spreadsheets, SQL, Data Visualization, Data Dashboards
- Top Rated!
Programming for Data Science with R
Concepts Covered: R, SQL, Git
- Popular!
Data Scientist
Concepts Covered: Machine Learning, Deep Learning, Software Engineering
Data Visualization
Concepts Covered: Data Visualization, Tableau, Dashboards, Data Storytelling
- Popular!
Data Analyst
Concepts Covered: Data Wrangling, Matplotlib, Bootstrapping, Pandas & NumPy, Statistics
- Popular!
Programming for Data Science with Python
Concepts Covered: Python, Numpy & Pandas, SQL, Git & GitHub
- Top Rated!
Predictive Analytics For Business
Concepts Covered: Data Wrangling, Classification, A/B Testing, Forecasting, Segmentation
- Popular!
Data Engineering with AWS
Concepts Covered: AWS Glue, Amazon S3, AWS Data Warehouse, Redshift, Apache Airflow, Data Pipeline DAGs, Data Extraction, Data Pipeline Creation, ETL, OLAP Cubes, Data Warehouse Architecture, Cloud Computing Fluency, Data Pipeline Maintenance
Data Architect
Concepts Covered: Entity relationship diagrams, Relational Data Design, Online Analytical Processing, Operational Data Stores, Data Lake Architecture, Data Governance
- Top Rated!
Data Analysis and Visualization with Microsoft Power BI
Concepts Covered: Power BI, data visulations, data modeling, Extract-Transform-Load, Data Analytics Expressions
- New!
Digital Freelancer
Concepts Covered: Portfolio Websites, Professional Networking, Resumes, Social Media Presence, Non-Disclosure Agreements, Service Agreements, Freelance Pricing Frameworks, Invoicing, Brand Design, Elevator pitches, Formal Written Communication, Project management tools, Project scoping
- New!
Privacy Engineer
Concepts Covered: Privacy by Design Framework, Data Minimization, Data Encryption, Sensitive Data Tracking, Hashing, Privacy Risk Assessment, Data Privacy Fundamentals, Data Anonymization, k-anonymization, Data Privacy Regulations, Tiers of Deletion, Redaction for Data Minimization, Regional Privacy Regulations, Data Lifecycle Management
- New!
Data Engineering with Microsoft Azure
Concepts Covered: Database Normalization, Data Modeling Basics, PostgreSQL, SQL and SQL scripting, Denormalized Data Schemas, Relational data modeling, OLAP Cubes, Data Warehouse Architecture, Data Extraction, Big Data Fluency, Apache Spark, Data Lakes, Apache Airflow, Azure Pipelines
Your path to the right job
- Data Analyst
- Data Scientist
- Data Engineer
- Business Analyst
Data Analyst
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.
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Data Analyst
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.
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Data Scientist
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.
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Data Scientist
Step 1
Concepts Covered
Machine Learning, Deep Learning, Software Engineering
advancedData Analyst
Step 2
Concepts Covered
Data Wrangling, Matplotlib, Bootstrapping, Pandas & NumPy, Statistics
intermediateProgramming for Data Science with Python
Step 3
Concepts Covered
Python, Numpy & Pandas, SQL, Git & GitHub
beginner
Data Engineer
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.
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Data Streaming
Step 1
Concepts Covered
Data Streaming, Spark, Kafka, Kafka Streaming, Spark Streaming
advancedProgramming for Data Science with Python
Step 2
Concepts Covered
Python, Numpy & Pandas, SQL, Git & GitHub
beginnerData Engineering with AWS
Step 3
Concepts Covered
AWS Glue, Amazon S3, AWS Data Warehouse, Redshift, Apache Airflow, Data Pipeline DAGs, Data Extraction, Data Pipeline Creation, ETL, OLAP Cubes, Data Warehouse Architecture, Cloud Computing Fluency, Data Pipeline Maintenance
intermediate
Business Analyst
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.
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