A collection of essential languages, tools, and frameworks useful to have a good understanding of Data science and analysis fundamentals.

Data Science

R is a programming language for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. Created by statisticians Ross Ihaka and Robert Gentleman, R is used among data miners, bioinformaticians and statisticians for data analysis and developing statistical software. Users have created packages to augment the functions of the R language.

Python

Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library.
Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0. Python 2.0 was released in 2000 and introduced new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 3.0, released in 2008, was a major revision that is not completely backward-compatible with earlier versions. Python 2 was discontinued with version 2.7.18 in 2020.


Full Stack Web Dev

Data Structures & Algorithms

This module provides a comprehensive guide to the fundamental concepts of data structures and algorithms. The module includes links to videos and articles that cover a wide range of topics, from basic data structures like arrays and linked lists to complex algorithms such as sorting and searching. Data structures are the building blocks for many computer programs, as they provide efficient ways to store, organize and access data. Algorithms, on the other hand, are step-by-step procedures for solving problems. By studying data structures and algorithms, you will gain a deeper understanding of how to solve problems more efficiently and effectively, which is essential for many computer science and engineering careers. Whether you are a beginner or an experienced programmer, this module will help you to expand your knowledge and skills in this critical area of computer science.

Software Development Process

This module provides an in-depth coverage of the Software Development Process, with links to videos and articles that delve into its various topics. Software Development Process refers to a set of activities and tasks involved in creating and maintaining software products. It involves various stages such as requirement gathering, design, development, testing, and deployment. Understanding the Software Development Process is crucial for software developers, project managers, and stakeholders as it helps them plan, organize, and execute software projects in a structured and efficient manner. The resources included in this module aim to provide a comprehensive understanding of the Software Development Process, including best practices and common methodologies.

This module is a comprehensive guide to understanding SQL (Structured Query Language), the standard language for managing and manipulating relational databases. SQL is used in many different applications, from managing small personal databases to large enterprise system. It contains a range of resources, including videos and articles, that provide an in-depth look at SQL and its key concepts. The module covers everything from basic SQL queries and commands to more advanced topics such as database design and management. Whether you are a beginner or an experienced developer, it provides a wealth of information and resources to support your learning journey with SQL. You will learn how to create, modify, and retrieve data from databases, as well as how to write complex queries and optimize database performance. By the end of the module, you will have a solid foundation in SQL and be able to apply your knowledge to a variety of real-world scenarios.

This Git module provides a comprehensive learning experience for those interested in Git. Git is a widely used version control system that helps developers collaborate and manage changes to their code. It allows developers to track the history of their projects, revert to previous versions, and merge changes made by multiple contributors. This module contains links to videos and articles that cover various Git topics, from the basics of version control to advanced Git techniques. Whether you're a beginner or an experienced developer, this Git module will help you improve your skills and expand your knowledge of this essential tool for modern software development.

Subversion

Mercurial

MySQL

This MySQL fundamentals learning module is a structured educational resource that is designed to teach individuals the basics of using the MySQL database management system. The guide typically covers the fundamentals of MySQL, including topics such as data types, SQL syntax, creating and manipulating tables, and querying data. The guide may also cover more advanced topics, such as data modeling, indexing, transactions, and stored procedures. The module may also include practical projects that enable learners to build and manage real-world databases using MySQL.

PostgreSQL

This PostgreSQL module is a comprehensive learning resource for anyone looking to master the PostgreSQL database management system. PostgreSQL, commonly known as "Postgres", is a powerful and open-source relational database management system with a strong reputation for reliability, feature richness, and performance. It is widely used in a variety of applications, including web development, data analysis, and business intelligence. This module contains a wealth of resources, including links to videos, articles, and interactive tutorials, that are designed to help you understand the key concepts and features of PostgreSQL. Whether you are just starting out or looking to expand your existing knowledge, this PostgreSQL module is an excellent resource for anyone seeking to master this powerful database management system.

Microsoft SQL Server

This module is a comprehensive guide to understanding Microsoft SQL Server, a relational database management system developed by Microsoft. SQL Server is used by many businesses and organizations to manage large volumes of data and support critical business processes, it contains a range of resources, including videos and articles, that provide an in-depth look at SQL Server and its key concepts. The module covers everything from getting started with SQL Server to advanced topics such as database design and administration. Whether you are a beginner or an experienced developer, this module provides a wealth of information and resources to support your learning journey with SQL Server. You will learn how to install and configure SQL Server, as well as how to create and manage databases, tables, and other database objects. By the end of the module, you will have a solid understanding of SQL Server and be able to apply your knowledge to a variety of real-world scenarios.

IBM Db2 Database

This module is a comprehensive guide to understanding IBM Db2, a relational database management system developed by IBM. Db2 is used by many businesses and organizations to manage large volumes of data and support critical business processes. It contains a range of resources, including videos and articles, that provide an in-depth look at Db2 and its key concepts. The module covers everything from getting started with Db2 to advanced topics such as database design and administration. Whether you are a beginner or an experienced developer, it also provides a wealth of information and resources to support your learning journey with Db2. You will learn how to install and configure Db2, as well as how to create and manage databases, tables, and other database objects. By the end of the module, you will have a solid understanding of Db2 and be able to apply your knowledge to a variety of real-world scenarios.

MongoDB

MongoDB is a popular, open-source NoSQL database management system. Unlike traditional relational databases, MongoDB stores data in a flexible, JSON-like document format, which makes it easier to handle complex, unstructured data. MongoDB is horizontally scalable, meaning that it can easily handle large amounts of data and handle high traffic loads, making it a popular choice for modern web and mobile applications. Additionally, MongoDB provides powerful indexing and aggregation capabilities, making it easy to analyze large datasets and perform complex queries. With its ease of use and scalability, MongoDB has become one of the most widely adopted NoSQL databases, and is used by companies of all sizes to handle their big data needs.

ElasticSearch

This ElasticSearch module is designed for those who want to learn about the basics and advanced features of ElasticSearch. ElasticSearch is a highly scalable, open-source, full-text search and analytics engine. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. With this module, you will have access to links to videos and articles covering topics such as installation, indexing, querying, and more. Whether you're a beginner or have experience with search engines, this ElasticSearch module will provide you with a comprehensive understanding of this powerful tool.

Neo4j

This module is a comprehensive guide to understanding Neo4j, a graph database management system. Neo4j is used by many businesses and organizations to manage complex, connected data and support critical business processes. It contains a range of resources, including videos and articles, that provide an in-depth look at Neo4j and its key concepts. The module covers everything from getting started with Neo4j to advanced topics such as graph database design and administration. Whether you are a beginner or an experienced developer, This module provides a wealth of information and resources to support your learning journey with Neo4j. You will learn how to install and configure Neo4j, as well as how to create and manage graph databases, nodes, relationships, and other graph database objects. By the end of the module, you will have a solid understanding of Neo4j and be able to apply your knowledge to a variety of real-world scenarios.

Cassandra DB

This module is a comprehensive guide to understanding Apache Cassandra, a highly scalable, distributed NoSQL database management system. Cassandra is used by many businesses and organizations to manage large volumes of data and support critical business processes. This module contains a range of resources, including videos and articles, that provide an in-depth look at Cassandra and its key concepts. The module covers everything from getting started with Cassandra to advanced topics such as data modeling and administration. Whether you are a beginner or an experienced developer, This module provides a wealth of information and resources to support your learning journey with Cassandra. You will learn how to install and configure Cassandra, as well as how to create and manage databases, tables, and other database objects. By the end of the module, you will have a solid understanding of Cassandra and be able to apply your knowledge to a variety of real-world scenarios.

CouchDB

This module is a comprehensive guide to understanding Apache CouchDB, a NoSQL database management system that uses a document-oriented model for storing and retrieving data. CouchDB is used by many businesses and organizations to manage data that is constantly changing and evolving. It contains a range of resources, including videos and articles, that provide an in-depth look at CouchDB and its key concepts. The module covers everything from getting started with CouchDB to advanced topics such as replication and conflict resolution. Whether you are a beginner or an experienced developer, this module provides a wealth of information and resources to support your learning journey with CouchDB. You will learn how to install and configure CouchDB, as well as how to create and manage databases, documents, and other database objects. By the end of the module, you will have a solid understanding of CouchDB and be able to apply your knowledge to a variety of real-world scenarios.

Google BigQuery

This Google BigQuery module provides a comprehensive learning experience for those interested in working with big data. Google BigQuery is a fully managed, cloud-native data warehousing solution that enables super-fast SQL queries using the processing power of Google's infrastructure. It allows developers to store, analyze, and retrieve vast amounts of data in real-time, making it ideal for a wide range of big data use cases, from simple data analytics to complex machine learning applications. This module contains links to videos, articles, and projects that cover various aspects of Google BigQuery, from the basics to advanced techniques. Whether you're a beginner or an experienced data analyst, this Google BigQuery module will help you improve your skills and expand your knowledge of this essential tool for modern data analysis.

SAP Data Warehouse Cloud

Apache Spark

This Apache Spark module provides a comprehensive learning experience for those interested in big data processing and analysis. Apache Spark is a powerful open-source framework for distributed data processing and analysis. It allows developers to process and analyze large datasets quickly and efficiently by leveraging its in-memory computing capabilities. This module contains links to videos and articles that cover various Apache Spark topics, from the basics to advanced techniques. Whether you're a beginner or an experienced data scientist, this Apache Spark module will help you improve your skills and expand your knowledge of this essential tool for modern big data processing and analysis.

Snowflake

This module is a comprehensive guide to understanding Snowflake, a cloud-based data warehousing platform that allows users to store and analyze large amounts of data. Snowflake is used by many businesses and organizations to manage their data and generate insights that can inform important decisions. This module contains a range of resources, including videos and articles, that provide an in-depth look at Snowflake and its key concepts. The module covers everything from getting started with Snowflake to advanced topics such as data modeling and query optimization. Whether you are a beginner or an experienced data analyst, This module provides a wealth of information and resources to support your learning journey with Snowflake. You will learn how to create and manage data warehouses, as well as how to perform queries and analyses using the Snowflake interface. By the end of the module, you will have a solid understanding of Snowflake and be able to apply your knowledge to a variety of real-world scenarios.

Microsoft Excel

This module is a comprehensive guide to understanding Microsoft Excel, a popular spreadsheet software that is used by businesses and individuals to manage and analyze data. Excel is used for a wide range of tasks, from simple calculations to complex data analysis and visualization. This module contains a range of resources, including videos and articles, that provide an in-depth look at Excel and its key concepts. The module covers everything from getting started with Excel to advanced topics such as macros and pivot tables.
Whether you are a beginner or an experienced Excel user, This module provides a wealth of information and resources to support your learning journey with Excel. You will learn how to create and manage spreadsheets, as well as how to perform calculations and analyses using the many tools and functions available in Excel. By the end of the module, you will have a solid understanding of Excel and be able to apply your knowledge to a variety of real-world scenarios.

AWS Redshift

This module is a comprehensive guide to understanding AWS Redshift, a cloud-based data warehousing service that allows users to store and analyze large amounts of data. Redshift is used by many businesses and organizations to manage their data and generate insights that can inform important decisions. This module contains a range of resources, including videos and articles, that provide an in-depth look at Redshift and its key concepts. The module covers everything from getting started with Redshift to advanced topics such as data modeling and query optimization. Whether you are a beginner or an experienced data analyst, This module provides a wealth of information and resources to support your learning journey with Redshift. You will learn how to create and manage data warehouses, as well as how to perform queries and analyses using the Redshift interface. By the end of the module, you will have a solid understanding of Redshift and be able to apply your knowledge to a variety of real-world scenarios.

Azure Synapse Analytics

This module is a learning resource that provides a comprehensive overview of Azure Synapse Analytics, a cloud-based analytics service that allows users to analyze large amounts of data and generate insights. Azure Synapse Analytics is a powerful tool that can help businesses and organizations make informed decisions based on data. The module contains a range of resources, including videos and articles, that cover the key concepts and features of Azure Synapse Analytics. These resources are designed to help you get up and running with the service quickly and easily, whether you are a beginner or an experienced data analyst. The module covers a wide range of topics, including how to create and manage data warehouses, how to analyze and visualize data, and how to use Azure Synapse Analytics in conjunction with other Azure services. By the end of the module, you will have a deep understanding of Azure Synapse Analytics and be able to apply your knowledge to real-world scenarios.

Oracle Autonomous Data Warehouse

This module is a learning resource that provides an introduction to Oracle Autonomous Data Warehouse, a cloud-based data warehousing solution that uses machine learning and automation to deliver high performance, scalability, and security. The module is designed to help individuals and businesses understand the key concepts and features of Oracle Autonomous Data Warehouse, and how to leverage it for their data management needs. The module contains a range of resources, including videos and articles, that cover the fundamentals of Oracle Autonomous Data Warehouse. These resources will guide you through the process of setting up a data warehouse, importing data, and querying data with SQL. You will also learn about security, backup, and recovery strategies, as well as the machine learning capabilities of Oracle Autonomous Data Warehouse. By the end of the module, you will have a solid understanding of Oracle Autonomous Data Warehouse and be able to leverage its capabilities to manage your data more effectively. Whether you are new to data warehousing or a seasoned professional, this module is a great resource to help you get started with Oracle Autonomous Data Warehouse.

Rattle

Pandas

This module is a learning resource that provides an introduction to Pandas, a popular open-source library for data manipulation and analysis in Python. The module is designed to help individuals and businesses understand the key concepts and features of Pandas, and how to use it for their data analysis needs.

The module contains a range of resources, including videos and articles, that cover the fundamentals of Pandas. These resources will guide you through the process of setting up a data frame, selecting data, and transforming data with Pandas. You will also learn about group-by, pivot tables, merging and joining data, and working with time series data.

By the end of the module, you will have a solid understanding of Pandas and be able to leverage its capabilities to analyze and manipulate your data more effectively. Whether you are new to data analysis or a seasoned professional, this module is a great resource to help you get started with Pandas.

NumPy

This module is a learning resource that provides an introduction to NumPy, a powerful Python library for numerical computing. NumPy provides a range of capabilities, including mathematical operations, linear algebra, and statistical analysis, making it an essential tool for data science and machine learning.

The module is designed to help individuals and businesses understand the key concepts and features of NumPy and how to use it for numerical computing tasks. It contains a range of resources, including videos and articles, that cover the fundamentals of NumPy. These resources will guide you through the process of creating NumPy arrays, performing array operations, and manipulating arrays with advanced techniques.

By the end of the module, you will have a solid understanding of NumPy and be able to leverage its capabilities for numerical computing in Python. Whether you are new to Python or a seasoned professional, this module is a great resource to help you get started with NumPy.

Polymer Search

Power BI

This Power BI module offers a comprehensive learning journey for those interested in data visualization and business intelligence. Power BI is a powerful data analytics tool developed by Microsoft that provides insights and data visualization capabilities to organizations. It enables the creation of interactive dashboards and reports that provide insights and trends in real-time. This module contains links to videos, articles, and projects that cover various Power BI topics, from the basics to advanced techniques. Whether you're a beginner or an experienced data analyst, this Power BI module will help you improve your skills and expand your knowledge of this essential tool for modern data-driven organizations.

Tableau

This module is designed to teach users about Tableau, a powerful data visualization and business intelligence software. At its core, Tableau allows users to create interactive and dynamic visualizations that can be used to explore data and gain insights into complex problems. This module will provide an introduction to Tableau's interface, data connectivity, and basic visualization building tools. It will also cover more advanced topics such as creating calculations, building dashboards, and sharing your work with others. The module will contain links to videos and articles that cover a range of topics related to Tableau, including best practices, data preparation, and advanced visualizations. By the end of this module, users will have a solid understanding of Tableau's capabilities and be able to use the software to create meaningful insights and visualizations from their data.

Matplotlib

This module is a learning resource for Matplotlib, a popular data visualization library for the Python programming language. Matplotlib is a comprehensive library that enables users to create high-quality graphs and visualizations for their data analysis and scientific research. This learning module introduces users to the fundamental concepts and techniques of Matplotlib, including basic and advanced plotting, customization, 3D plotting, subplots, and animation. It provides links to videos and articles that cover these topics and more, to help learners develop their Matplotlib skills and apply them in their projects.

Dundas BI

Plotly

This module is designed to provide a comprehensive understanding of Plotly, a powerful and interactive data visualization library in Python. The module begins by introducing what Plotly is and its applications in data science and visualization. The module then contains links to videos and articles that cover the basic concepts of Plotly, such as creating line charts, scatter plots, and bar charts, and customizing these visualizations with various layouts, themes, and annotations. The module also covers advanced topics, such as working with 3D visualizations, geospatial data, and animation in Plotly. By the end of the module, learners should have a strong foundation in Plotly and be able to create professional-grade visualizations for their data analysis projects.

Data Science

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🚀 Modules to Learn

Fundamentals

Languages

Collaboration

SQL Databases

NoSQL Databases

Data Warehousing

EDA & Data Cleaning

Data Visualization