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- User Authentication
- Senthil kumar Paramasivapandi's Credentials
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- PL-300: Creating & Formatting Charts In Power BI
- PL-300: Loading & Transforming Data in Power BI
- PL-300: Preparing Data for Visualizations in Power BI
- PL-300: Understanding Data Visualization
- PL-300: Power BI for Data Analysis
- Data Wrangler
- Final Exam: Data Wrangler
- Final Exam: Data Analyst
- Final Exam: Data Scientist
- Data Scientist
- Data Analyst
- Data Research Statistical Approaches
- Machine & Deep Learning Algorithms: Introduction
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Data Research Exploration Techniques
- Creating Data APIs Using Node.js
- R for Data Science: Data Visualization
- Data Research Techniques
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Data Architecture Deep Dive - Design & Implementation
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Advanced Visualizations & Dashboards: Visualization Using Python
- Data Science Statistics: Applied Inferential Statistics
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Advanced Visualizations & Dashboards: Visualization Using R
- Data Recommendation Engines
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Raw Data to Insights: Data Management & Decision Making
- Data Driven Organizations
- Storytelling with Data: Introduction
- Data Analysis using Spark SQL
- Bucketing & Window Functions with Hive
- Python for Data Science: Basic Data Visualization Using Seaborn
- Storytelling with Data: Tableau & PowerBI
- Data Lake Architectures & Data Management Principles
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Data Analysis Using the Spark DataFrame API
- Hadoop MapReduce Applications With Combiners
- Data Lake Framework & Design Implementation
- Filtering Data Using Hadoop MapReduce
- Advanced Operations Using Hadoop MapReduce
- Data Science Overview
- Loading & Querying Data with Hive
- MongoDB Querying
- Using Hive to Optimize Query Executions with Partitioning
- Optimizing Query Executions with Hive
- Viewing & Querying Complex Data with Hive
- The Four Vs of Data
- Getting Started with Hive
- MongoDB Aggregation
- Machine Learning & Deep Learning Tools in the Cloud
- Data Wrangling with Trifacta
- Python - Using Pandas for Visualizations and Time-Series Data
- Python - Pandas Advanced Features
- Cleaning Data in R
- Technology Landscape & Tools for Data Management
- Python - Using Pandas to Work with Series & DataFrames
- Applied Data Analysis
- Data Lake Sources, Visualizations, & ETL Operations
- Introduction to the Shell for Hadoop HDFS
- Data Lakes on AWS
- Data Silos, Lakes, & Streams Introduction
- Working with Files in Hadoop HDFS
- Hadoop HDFS File Permissions
- Simple Descriptive Statistics
- Data Exploration using R
- R Regression Methods
- R Classification & Clustering
- Developing a Basic MapReduce Hadoop Application
- Inferential Statistics
- Hadoop & MapReduce Getting Started
- Apache Spark Getting Started
- Common Approaches to Sampling Data
- Hadoop HDFS Getting Started
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- R Data Structures
- Importing & Exporting Data using R
- Python - Introduction to NumPy for Multi-dimensional Data
- Data Architecture Getting Started
- Data Engineering Getting Started
- Tableau Desktop: Real Time Dashboards
- Senthil kumar Paramasivapandi's Transcript
- Senthil kumar Paramasivapandi's Wallet
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