Build expertise in data visualization, predictive analytics, data science, and more. With the skills you learn in our data science courses, you can launch or advance a successful career in the field. Start acquiring valuable expertise right away, create a project portfolio to demonstrate your abilities, and get support from mentors, peers, and experts.
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
Concepts Covered: Data Wrangling, Matplotlib, Bootstrapping, Pandas, NumPy, Statistics
Concepts Covered: Excel/Spreadsheets, SQL, Data Visualization, Data Dashboards
Concepts Covered: Python, Numpy, Pandas, SQL, Git, GitHub
Concepts Covered: Machine Learning, Deep Learning, Software Engineering
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: Power BI, Data Visualizations, Data Modeling, Extract-Transform-Load, Data Analytics Expressions
Concepts Covered: Entity Relationship Diagrams, Relational Data Design, Online Analytical Processing, Operational Data Stores, Data Lake Architecture, Data Governance
Concepts Covered: Database Normalization, Data Modeling Basics, PostgreSQL, SQL, 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
Concepts Covered: Data Streaming, Spark, Kafka, Kafka Streaming, Spark Streaming
Concepts Covered: Data Wrangling, Classification, A/B Testing, Forecasting, Segmentation
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
Concepts Covered: Business Strategy, Data Science, Data Architecture, Machine Learning, Human Capital
Concepts Covered: Data Visualization, Tableau, Dashboards, Data Storytelling
Concepts Covered: R, SQL, Git
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
Concepts Covered: Data Wrangling, Matplotlib, Bootstrapping, Pandas & NumPy, Statistics
Concepts Covered: Python, Numpy & Pandas, SQL, Git & GitHub
Concepts Covered: Data Analysis, Matplotlib, Pandas & NumPy, Jupyter
Concepts Covered: Data Wrangling, Pandas & NumPy, Statistics
Concepts Covered: Machine Learning, Software Engineering
Concepts Covered: Machine Learning, data science
Concepts Covered: SQL, PostgreSQL, JOINs, Subqueries, Window Functions, Partitions, Data Cleaning, DDL, DML, Relational and Non-Relational Databases
Concepts Covered: Machine Learning, Software Engineering
Concepts Covered: Excel & Spreadsheets, Data Visualization, Data Dashboards
Concepts Covered: Data Wrangling, Matplotlib, Data visualization, Pandas & NumPy, Statistics
Concepts Covered: Predictive Analytics, Data Analysis Process, Power Query, Power BI Proficiency, Data Quality Control, Relational Data Models, Power BI Report Design, Time-series Forecasting, Time-series Analysis, Data Schemas
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.
Data Wrangling, Matplotlib, Bootstrapping, Pandas, NumPy, Statistics
Learn morePython, Numpy, Pandas, SQL, Git, GitHub
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