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- Data Loading & Visualization in Power BI: Loading Data from Cloud Storage
- Data Loading & Visualization in Power BI: Data Modeling
- Data Loading & Visualization in Power BI: Loading Data from Databases
- Data Loading & Visualization in Power BI: Getting Started
- Creating Data APIs Using Node.js
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Final Exam: Data Scientist
- Data Analyst to Data Scientist
- Data Scientist
- Machine & Deep Learning Algorithms: Introduction
- Data Science Statistics: Applied Inferential Statistics
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Data Research Exploration Techniques
- Data Research Statistical Approaches
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Advanced Visualizations & Dashboards: Visualization Using Python
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Data Recommendation Engines
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Data Research Techniques
- Storytelling with Data: Introduction
- R for Data Science: Data Visualization
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Tableau Desktop: Real Time Dashboards
- Python for Data Science: Basic Data Visualization Using Seaborn
- Storytelling with Data: Tableau & Power BI
- The Four Vs of Data
- Data Driven Organizations
- Raw Data to Insights: Data Management & Decision Making
- Data Rollbacks: Transaction Rollbacks & Their Impact
- Data Rollbacks: Transaction Management & Rollbacks in NoSQL
- Final Exam: Data Ops
- Advanced Visualizations & Dashboards: Visualization Using R
- Data Ops
- Securing Big Data Streams
- Data Sources: Integration from the Edge
- Data Sources: Implementing Edge Data on the Cloud
- Harnessing Data Volume & Velocity: Turning Big Data into Smart Data
- Building Data Pipelines
- Data Pipeline: Using Frameworks for Advanced Data Management
- Data Pipeline: Process Implementation Using Tableau & AWS
- Scalable Data Architectures: Using Amazon Redshift
- Scalable Data Architectures: Getting Started
- Scalable Data Architectures: Using Amazon Redshift & QuickSight
- Streaming Data Architectures: Processing Streaming Data with Spark
- Streaming Data Architectures: An Introduction to Streaming Data in Spark
- Data Compliance Issues & Strategies
- Data Access & Governance Policies: Data Classification, Encryption, & Monitoring
- Cloud Data Architecture: Data Management & Adoption Frameworks
- Implementing Governance Strategies
- Data Access & Governance Policies: Data Access Governance & IAM
- Cloud Data Architecture: Cloud Architecture & Containerization
- Data Science Tools
- Delivering Dashboards: Exploration & Analytics
- Data Architecture Deep Dive - Design & Implementation
- Delivering Dashboards: Management Patterns
- Final Exam: Data Wrangler
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Data Wrangler
- Data Analysis using Spark SQL
- Data Lake Framework & Design Implementation
- Data Lake Architectures & Data Management Principles
- Data Analysis Using the Spark DataFrame API
- Filtering Data Using Hadoop MapReduce
- Hadoop MapReduce Applications With Combiners
- Advanced Operations Using Hadoop MapReduce
- Using Hive to Optimize Query Executions with Partitioning
- Bucketing & Window Functions with Hive
- Optimizing Query Executions with Hive
- MongoDB Querying
- MongoDB Aggregation
- Loading & Querying Data with Hive
- Getting Started with Hive
- Viewing & Querying Complex Data with Hive
- Data Wrangling with Trifacta
- Technology Landscape & Tools for Data Management
- Cleaning Data in R
- Machine Learning & Deep Learning Tools in the Cloud
- Python - Pandas Advanced Features
- Python - Using Pandas for Visualizations and Time-Series Data
- Python - Using Pandas to Work with Series & DataFrames
- Final Exam: Data Analyst
- Data Lake Sources, Visualizations, & ETL Operations
- Applied Data Analysis
- Data Analyst
- Data Lakes on AWS
- Data Silos, Lakes, & Streams Introduction
- Working with Files in Hadoop HDFS
- Hadoop HDFS File Permissions
- Introduction to the Shell for Hadoop HDFS
- Developing a Basic MapReduce Hadoop Application
- Hadoop HDFS Getting Started
- Hadoop & MapReduce Getting Started
- Apache Spark Getting Started
- Inferential Statistics
- Simple Descriptive Statistics
- Common Approaches to Sampling Data
- R Classification & Clustering
- R Regression Methods
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- R Data Structures
- Importing & Exporting Data using R
- Data Exploration using R
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Python - Introduction to NumPy for Multi-dimensional Data
- Data Engineering Getting Started
- Data Architecture Getting Started
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