Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Koona Tejaswe's Credentials
- Koona Tejaswe's Wallet
- Git & GitHub: Introduction
- API Gateways
- Visual Studio Code Editor: Languages & Tasks
- DEVASC: HTTP, APIs, & Webhooks
- Business Reporting: Getting Started with Power BI Desktop for Data Analysis
- PL-300: Loading & Transforming Data in Power BI
- PL-300: Preparing Data for Visualizations in Power BI
- Static, Dynamic, Black-box, & White-box Testing
- Software Debugging in Windows
- Testing throughout the Software Life Cycle
- Test Planning & Management
- Debugging Tools
- Power BI Bootcamp: Session 4 Replay
- Source Coding Best Practices
- Software Security Best Practices
- Design and Development Best Practices
- Debugging Concepts
- PL-300: Power BI for Data Analysis
- Python Statistical Plots: Time Series Data & Regression Analysis in Seaborn
- Python Statistical Plots: Visualizing & Analyzing Data Using Seaborn
- Python - Pandas Advanced Features
- Python - Using Pandas to Work with Series & DataFrames
- Python - Using Pandas for Visualizations and Time-Series Data
- Power BI Bootcamp: Session 2 Replay
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python - Introduction to Pandas and DataFrames
- Python for Data Science: Basic Data Visualization Using Seaborn
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Power BI Bootcamp: Session 3 Replay
- Data Visualization Essentials
- Maintaining Code
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Using Aggregate Functions
- Using Functions
- T-SQL Queries
- Querying & Manipulating Data
- Filtering Data
- SQL 2016 Tables
- Index Design Guidelines
- Transactions
- Triggers
- Business Reporting: Leveraging Treemaps, Matrices, & Slicers in Power BI
- Business Reporting: Creating & Formatting Matrix Visualizations in Power BI
- Business Reporting: Visualizing & Merging Data in Power BI
- Power BI Bootcamp: Session 1 Replay
- Analyzing Data Using Python: Importing, Exporting, & Analyzing Data With Pandas
- Analyzing Data Using Python: Data Analytics Using Pandas
- Analyzing Data Using Python: Filtering Data in Pandas
- Data Engineering on Microsoft Azure: Databricks
- Apache Spark Getting Started
- Data Engineering on Microsoft Azure: Data Factory
- Azure Fundamentals: Cloud Computing
- Data Warehousing with Azure: Data Lake Implementation Using Azure
- Analyzing Data Using Python: Cleaning & Analyzing Data in Pandas
- Data Structures & Algorithms in Python: Implementing Data Structures
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Data Structures & Algorithms in Python: Sorting Algorithms
- Functions in Python: Working with Advanced Features of Python Functions
- Functions in Python: Introduction
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Conditional Statements & Loops: While Loops in Python
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Conditional Statements & Loops: The Basics of for Loops in Python
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Getting Started with Python: Introduction
- Big Data Interpretation
- Modern Data Management: Data Quality Management
- Automation Using Bash & Expect
- Bash Advanced Scripting & File I/O
- Introduction to Bash Scripting
- Bash Scripting Flow Control & Data Types
- Working with DDL
- Data Manipulation Language
- Working with Joins
- Database Transactions
- Aggregating Data
- Working with SET Operators
- Working with Subqueries
- Data Conversion
- Customizing Output
- Working with Substitution
- Restricting Output
- SELECT Statement, Expressions, & Operators
- Traditional Data Architectures: Data Warehousing and ETL Systems
- Concepts & Conceptual Design
- SQL*Plus Commands
- Databases, Rules, & Procedures
- SQL Developer
- Relational Database Concepts
- Professional in Human Resources: Business Planning
- Koona Tejaswe's Transcript
- Koona Tejaswe's Wallet
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