- RU101: Introduction to Redis Data Structures
- RU202: Redis Streams
- RU203: Querying, Indexing, and Full-Text Search
- English Conversational Skills for Beginners (1)
- English Conversational Skills for Beginners (2)
- English Conversational Skills for Beginners (3)
- M001: MongoDB Basics
- M100: MongoDB for SQL Pros
- M103: Basic Cluster Administration
- M121: The MongoDB Aggregation Framework
- M220N: MongoDB for .NET Developers
- M201: MongoDB Performance
- M320: Data Modeling
- Overview of Neo4j 4.x
- Querying with Cypher in Neo4j 4.x
- Creating Nodes and Relationships in Neo4j 4.x
- Using Indexes and Query Best Practices in Neo4j 4.x
- Importing Data with Neo4j 4.x
- Basic Neo4j 4.x Administration
- Introduction to Graph Algorithms with Neo4j 4.x
- Using a Machine Learning Workflow for Link Prediction
Completed Career Tracks
Completed Skills Tracks
- Python fundamentals track
- Importing and Cleaning data with Python track
- Data Manipulation with Python track
- R Programming track
Completed Courses
- Introduction to DAX in Power BI
- Introduction to Power BI
- Intoduction to Python
- Introduction to R
- Introduction to SQL
- Intermediate Python
- Introduction to Data Science in Python
- Joining Data in SQL
- Intermediate R
- Python Data Science Toolbox (Part 1)
- Python Data Science Toolbox (Part 2)
- Introduction to Importing Data in Python
- Statistical Thinking in Python (Part 1)
- Statistical Thinking in Python (Part 2)
- Introduction to Relational Databases in SQL
- pandas Foundations
- Data Types for Data Science in Python
- Intermediate Importing Data in Python
- Writing Functions in R
- Introduction to Shell
- Manipulating DataFrames with pandas
- Cleaning Data in Python
- Analyzing Police Activity with pandas
- Introduction to Data Visualization in Python
- Intermediate R: Practice
- Introduction to Databases in Python
- Merging DataFrames with pandas
- Conda Essentials
- Interactive Data Visualization with Bokeh
Badges
- Big Data Foundations - Level 1
- Big Data Foundations - Level 2
- Hadoop Foundations - Level 1
- Hadoop Foundations - Level 2
- Hadoop Programming - Level 1
- Hadoop Programming - Level 2
- Hadoop Data Access - Level 1
- Hadoop Administration - Level 1
- Spark - Level 1
Courses
- Hadoop 101
- MapReduce and YARN
- Moving Data into Hadoop
- Accessing Hadoop Data Using Hive
- Apache Pig 101
- Simplifying data pipelines with Apache Kafka
- Big Data 101
- Spark Fundamentals I
- Knight’s Microsoft Business Intelligence 24-Hour Trainer
- Apache Spark 2 with Python - Big Data with PySpark and Spark
- Data Science A-Z™: Real-Life Data Science Exercises Included
- Power BI - The Ultimate Orientation
- Introduction to Databases and SQL Querying
- Advanced Databases and SQL Querying
- Understanding Data Quality and Reference Data Management
- Master Data Management
- Learn Python Programming Language
- Learn ETL using SSIS
- Learn SSRS Reporting in 120 minutes
