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- Data Analyst
- Final Exam: Data Analyst
- Data Lake Sources, Visualizations, & ETL Operations
- Applied Data Analysis
- Data Lakes on AWS
- Data Silos, Lakes, & Streams Introduction
- Introduction to the Shell for Hadoop HDFS
- Working with Files in Hadoop HDFS
- Hadoop HDFS File Permissions
- Hadoop HDFS Getting Started
- Developing a Basic MapReduce Hadoop Application
- Apache Spark Getting Started
- Inferential Statistics
- Common Approaches to Sampling Data
- R Regression Methods
- R Classification & Clustering
- Data Exploration using R
- R Data Structures
- Importing & Exporting Data using R
- Data Analysis
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Data Architecture Getting Started
- Data Engineering Getting Started
- Moving to the Cloud
- Hadoop & MapReduce Getting Started
- Manage and Control Quality (PMBOK® Guide Sixth Edition)
- Data Reduction & Exploratory Data Analysis (EDA)
- Building ML Training Sets: Introduction
- Correlation & Regression
- Data Collection & Exploration
- Data Preprocessing
- Quality & Procurement Planning
- Using Data to Find Data: Data Discovery & Exploration
- Python - Introduction to NumPy for Multi-dimensional Data
- Simple Descriptive Statistics
- Exploring Data Visualization
- Getting Started with Python: Introduction
- Basic Six Sigma Statistics
- Navigating & Configuring
- Getting Started with Google Sheets
- Expert Insights on Mindsets
- Python AI Development: Introduction
- Achieve Productivity in Your Personal Life
- Key Statistical Concepts
- K-Nearest Neighbor (k-NN) & Artificial Neural Networks
- Data Mining, Data Distributions, & Hypothesis Testing
- Machine Learning, Propensity Score, & Segmentation Modeling
- Linear & Logical Regression
- Machine Learning Introduction
- Basic Formulas
- Quality Methodologies and Standards for Project Management
- Formatting Data
- Opening & Setting Up Excel
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