Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Aquif Inamdar's Credentials
- Aquif Inamdar's Wallet
- Reimagining the Customer Experience with Generative AI
- An Introduction to ML, AI, Gen AI and ChatGPT
- Track 3: Lets get acquainted with Gen AI
- Track 4: ChatGPT
- Track 2: What is Artificial Intelligence?
- Keeping Your Skill Set Current in the Digital Economy
- Artificial Intelligence: Basic AI Theory
- Artificial Intelligence: Types of Artificial Intelligence
- Implementing Robotic Process Automation
- Introduction to Generative AI on Azure
- Generative AI and Its Impact to Everyday Business
- Getting Started with Large Language Models (LLMs)
- Exploring the Depths of Large Language Models in Generative AI
- Data Research Statistical Approaches
- Getting Started with Machine Learning
- Track 1: Introduction to Machine Learning
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Storytelling with Data: Introduction
- Data Driven Organizations
- Machine & Deep Learning Algorithms: Regression & Clustering
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Advanced Visualizations & Dashboards: Visualization Using Python
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Using BigML: An Introduction to Machine Learning & BigML
- MySQL: Getting Started
- Using BigML: Building Supervised Learning Models
- Analyzing Data Using Python: Importing, Exporting, & Analyzing Data With Pandas
- Analyzing Data Using Python: Filtering Data in Pandas
- Using BigML: Unsupervised Learning
- Python - Using Pandas to Work with Series & DataFrames
- Data Architecture Getting Started
- Machine & Deep Learning Algorithms: Introduction
- Data Engineering Getting Started
- Tableau Desktop: Real Time Dashboards
- Hadoop & MapReduce Getting Started
- Hadoop HDFS Getting Started
- Streaming Data Architectures: An Introduction to Streaming Data in Spark
- Applied Predictive Modeling
- The Four Vs of Data
- Streaming Data Architectures: Processing Streaming Data with Spark
- Implementing Control Flow
- Auditing, Logging, & Event Handling
- BI Reporting & Analysis
- SSIS Solutions
- Extract, Transform, & Load
- Script Components
- Designing Control Flow
- BI Reporting Strategies
- Data Loading
- Recovery & Backup
- PL-300: Applying Power BI's Advanced Analysis Features
- Using Functions
- Sets & Predicate Logic
- Stored Procedures
- Functions
- Data Transformation & Flow
- Math & Optimizations: Introducing Sets & Set Operations
- Setting up the Data Infrastructure in an Organization
- Track 1: Intro to Data Infrastructure
- Analyzing Data Using Python: Data Analytics Using Pandas
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Analyzing Data Using Python: Cleaning & Analyzing Data in Pandas
- Machine Learning & Data Analytics
- Python - Introduction to Pandas and DataFrames
- Python - Advanced Operations with NumPy Arrays
- Python Development: Getting Started with Programming in Python
- Data Mining and Decision Making: Data Mining for Answering Business Questions
- Python - Introduction to NumPy for Multi-dimensional Data
- Data Integration
- Final Exam: Data Scientist
- PL-300: Creating & Formatting Charts In Power BI
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- Using Aggregate Functions
- Querying & Manipulating Data
- Filtering Data
- Querying with Joins
- Using GROUP BY, PIVOT, & UNPIVOT
- Operators & Expressions
- Modifying Data
- Reinforcement Learning
- SSIS Package Execution & Script Tasks
- Database Fundamentals: Getting Started with SQL
- Database Fundamentals: Working with SQL Commands
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Data Types & Normalization
- SQL 2016 Tables
- Agile Principles and Methodologies
- Python for Data Science: Basic Data Visualization Using Seaborn
- Getting to the Root of a Problem
- Python - Pandas Advanced Features
- Python for Data Science: Advanced Data Visualization Using Seaborn
- PL-300: Power BI for Data Analysis
- Python - Using Pandas for Visualizations and Time-Series Data
- PL-300: Preparing Data for Visualizations in Power BI
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- Data Flow Implementation & ETL
- SSIS Variables
- SSIS Packages
- PL-300: Loading & Transforming Data in Power BI
- Aquif Inamdar's Transcript
- Aquif Inamdar's Wallet
- About Accredible