Most popular
Free
Data Science
What you'll learn
Master measures of central tendency, dispersion, skewness, and kurtosis to effectively describe and summarize data. Utilize probability and probability distributions to make informed decisions.
Learn to use techniques such as Principal Component Analysis, Hierarchical and Non-Hierarchical Clustering, Logistic Regression, K-Nearest Neighbors, Support Vector Machines, Naïve Bayes, Random Forests, Decision Trees, Gradient Boosting, and XGBoost.
Gain insights into Markov Chains, Extended Markov Chains, and Bellman’s Equation to understand reinforcement learning concepts.
Analyze relationships between variables and predict outcomes using various regression techniques.
Develop and apply Artificial Neural Networks, Recurrent Neural Networks, and Convolutional Neural Networks for tasks like image detection and analysis.
Employ techniques such as Bag of Words, TF-IDF, Word Embedding, and Sentiment Analysis to analyze and interpret text data.
Learn to build and deploy machine learning applications using frameworks such as Django, Flask, BentoML, and FastAPI.
Design and implement recommendation systems using Next Best Offer Product Recommendations, Collaborative Filtering, and Content-Based Filtering.
Free
Power BI
What you'll learn
Understand the core concepts and functionalities of Power BI.
Learn how to connect Power BI to various data sources, including databases, cloud services, and files.
Master the use of Power Query for cleaning, transforming, and preparing data for analysis.
Develop skills in modelling data, including creating calculated columns, measures, and tables.
Gain insights into managing and understanding relationships between different data sets within Power BI.
Learn to create compelling visualizations and reports that effectively communicate data insights.
Discover how to publish reports to the Power BI Service for sharing and collaboration.
Apply your knowledge in a real-world scenario through a small project that involves a use case, reinforcing your learning experience.
Free
Database & SQL
What you'll learn
Gain a solid foundation in the principles of relational databases.
Learn how to create and manage databases.
Master DDL commands with practical examples to create and modify database structures.
Master the different types of joins (Left Outer, Right Outer, Inner, Full Outer, and Self Joins) to combine data from multiple tables.
Understand DCL for managing access to the database.
Explore how to manage transactions within a database.
Learn to retrieve data using various SQL queries.
Learn how to use DML commands to manipulate data within the database.
Learn to create summaries and perform calculations using SQL aggregate functions.
Understand and apply advanced SQL window functions.
Apply your knowledge through a small project involving a real-world case study.
Free
Business Intelligence
What you'll learn
Explain the core concepts of Business Intelligence and its benefits for businesses.
Utilize data gathering and wrangling techniques to extract and prepare data for analysis.
Apply data mining and visualization tools to uncover hidden patterns and trends in data.
Communicate complex data insights in a clear and concise manner to both technical and non-technical audiences.
Develop a practical understanding of how to apply BI techniques to solve business challenges.
Free
Oracle SQL AND PL/SQL
What you'll learn
Understanding the fundamentals of SQL including querying data from tables, filtering results, and joining multiple tables.
Mastering advanced SQL techniques such as subqueries, analytical functions, and hierarchical queries.
Learning data manipulation language (DML) commands for inserting, updating, and deleting data in Oracle Database.
Exploring data definition language (DDL) commands for creating, altering, and dropping database objects.
Understanding the basics of PL/SQL programming including variables, control structures, and cursors.
Developing stored procedures, functions, and triggers using PL/SQL for automating tasks and enforcing business rules.
Free
MS SQL Server Database Developer
What you'll learn
Understand the fundamentals of RDBMS, including the entity-relationship model and the relational model.
Learn about Structured Query Language (SQL) and its applications in database management.
Explore database security and recovery techniques to ensure data integrity.
Gain knowledge of MS SQL Server architecture, versions, editions, and installation procedures.
Master SQL Server Management Studio for database administration tasks.
Learn T-SQL basics, including creating tables, writing select statements, filtering, sorting, and eliminating duplicates.
Understand advanced T-SQL concepts such as subqueries, joins, grouping, aggregate functions, and set operations.
Explore advanced T-SQL topics like stored procedures, triggers, error handling, and backup and recovery strategies
Trending
Free
Data Science
What you'll learn
Master measures of central tendency, dispersion, skewness, and kurtosis to effectively describe and summarize data. Utilize probability and probability distributions to make informed decisions.
Learn to use techniques such as Principal Component Analysis, Hierarchical and Non-Hierarchical Clustering, Logistic Regression, K-Nearest Neighbors, Support Vector Machines, Naïve Bayes, Random Forests, Decision Trees, Gradient Boosting, and XGBoost.
Gain insights into Markov Chains, Extended Markov Chains, and Bellman’s Equation to understand reinforcement learning concepts.
Analyze relationships between variables and predict outcomes using various regression techniques.
Develop and apply Artificial Neural Networks, Recurrent Neural Networks, and Convolutional Neural Networks for tasks like image detection and analysis.
Employ techniques such as Bag of Words, TF-IDF, Word Embedding, and Sentiment Analysis to analyze and interpret text data.
Learn to build and deploy machine learning applications using frameworks such as Django, Flask, BentoML, and FastAPI.
Design and implement recommendation systems using Next Best Offer Product Recommendations, Collaborative Filtering, and Content-Based Filtering.
Free
Power BI
What you'll learn
Understand the core concepts and functionalities of Power BI.
Learn how to connect Power BI to various data sources, including databases, cloud services, and files.
Master the use of Power Query for cleaning, transforming, and preparing data for analysis.
Develop skills in modelling data, including creating calculated columns, measures, and tables.
Gain insights into managing and understanding relationships between different data sets within Power BI.
Learn to create compelling visualizations and reports that effectively communicate data insights.
Discover how to publish reports to the Power BI Service for sharing and collaboration.
Apply your knowledge in a real-world scenario through a small project that involves a use case, reinforcing your learning experience.
Free
Database & SQL
What you'll learn
Gain a solid foundation in the principles of relational databases.
Learn how to create and manage databases.
Master DDL commands with practical examples to create and modify database structures.
Master the different types of joins (Left Outer, Right Outer, Inner, Full Outer, and Self Joins) to combine data from multiple tables.
Understand DCL for managing access to the database.
Explore how to manage transactions within a database.
Learn to retrieve data using various SQL queries.
Learn how to use DML commands to manipulate data within the database.
Learn to create summaries and perform calculations using SQL aggregate functions.
Understand and apply advanced SQL window functions.
Apply your knowledge through a small project involving a real-world case study.
Free
Business Intelligence
What you'll learn
Explain the core concepts of Business Intelligence and its benefits for businesses.
Utilize data gathering and wrangling techniques to extract and prepare data for analysis.
Apply data mining and visualization tools to uncover hidden patterns and trends in data.
Communicate complex data insights in a clear and concise manner to both technical and non-technical audiences.
Develop a practical understanding of how to apply BI techniques to solve business challenges.
Free
Oracle SQL AND PL/SQL
What you'll learn
Understanding the fundamentals of SQL including querying data from tables, filtering results, and joining multiple tables.
Mastering advanced SQL techniques such as subqueries, analytical functions, and hierarchical queries.
Learning data manipulation language (DML) commands for inserting, updating, and deleting data in Oracle Database.
Exploring data definition language (DDL) commands for creating, altering, and dropping database objects.
Understanding the basics of PL/SQL programming including variables, control structures, and cursors.
Developing stored procedures, functions, and triggers using PL/SQL for automating tasks and enforcing business rules.
Free
MS SQL Server Database Developer
What you'll learn
Understand the fundamentals of RDBMS, including the entity-relationship model and the relational model.
Learn about Structured Query Language (SQL) and its applications in database management.
Explore database security and recovery techniques to ensure data integrity.
Gain knowledge of MS SQL Server architecture, versions, editions, and installation procedures.
Master SQL Server Management Studio for database administration tasks.
Learn T-SQL basics, including creating tables, writing select statements, filtering, sorting, and eliminating duplicates.
Understand advanced T-SQL concepts such as subqueries, joins, grouping, aggregate functions, and set operations.
Explore advanced T-SQL topics like stored procedures, triggers, error handling, and backup and recovery strategies
Popular Instructors
All Data Analytics Courses
Free
MS SQL Server Database Developer
This course provides a comprehensive introduction to Microsoft SQL Server and …
What you'll learn
Understand the fundamentals of RDBMS, including the entity-relationship model and the relational model.
Learn about Structured Query Language (SQL) and its applications in database management.
Explore database security and recovery techniques to ensure data integrity.
Gain knowledge of MS SQL Server architecture, versions, editions, and installation procedures.
Master SQL Server Management Studio for database administration tasks.
Learn T-SQL basics, including creating tables, writing select statements, filtering, sorting, and eliminating duplicates.
Understand advanced T-SQL concepts such as subqueries, joins, grouping, aggregate functions, and set operations.
Explore advanced T-SQL topics like stored procedures, triggers, error handling, and backup and recovery strategies
Free
Oracle SQL AND PL/SQL
This course provides comprehensive training in Oracle’s SQL (Structured Query Language) …
What you'll learn
Understanding the fundamentals of SQL including querying data from tables, filtering results, and joining multiple tables.
Mastering advanced SQL techniques such as subqueries, analytical functions, and hierarchical queries.
Learning data manipulation language (DML) commands for inserting, updating, and deleting data in Oracle Database.
Exploring data definition language (DDL) commands for creating, altering, and dropping database objects.
Understanding the basics of PL/SQL programming including variables, control structures, and cursors.
Developing stored procedures, functions, and triggers using PL/SQL for automating tasks and enforcing business rules.
Free
Business Intelligence
This course provides a comprehensive introduction to Business Intelligence (BI) for professionals …
What you'll learn
Explain the core concepts of Business Intelligence and its benefits for businesses.
Utilize data gathering and wrangling techniques to extract and prepare data for analysis.
Apply data mining and visualization tools to uncover hidden patterns and trends in data.
Communicate complex data insights in a clear and concise manner to both technical and non-technical audiences.
Develop a practical understanding of how to apply BI techniques to solve business challenges.
Free
Database & SQL
The Database and SQL Course is designed to provide a comprehensive understanding …
What you'll learn
Gain a solid foundation in the principles of relational databases.
Learn how to create and manage databases.
Master DDL commands with practical examples to create and modify database structures.
Master the different types of joins (Left Outer, Right Outer, Inner, Full Outer, and Self Joins) to combine data from multiple tables.
Understand DCL for managing access to the database.
Explore how to manage transactions within a database.
Learn to retrieve data using various SQL queries.
Learn how to use DML commands to manipulate data within the database.
Learn to create summaries and perform calculations using SQL aggregate functions.
Understand and apply advanced SQL window functions.
Apply your knowledge through a small project involving a real-world case study.
Free
What you'll learn
Understand the core concepts and functionalities of Power BI.
Learn how to connect Power BI to various data sources, including databases, cloud services, and files.
Master the use of Power Query for cleaning, transforming, and preparing data for analysis.
Develop skills in modelling data, including creating calculated columns, measures, and tables.
Gain insights into managing and understanding relationships between different data sets within Power BI.
Learn to create compelling visualizations and reports that effectively communicate data insights.
Discover how to publish reports to the Power BI Service for sharing and collaboration.
Apply your knowledge in a real-world scenario through a small project that involves a use case, reinforcing your learning experience.
Free
Data Science
Dive into the comprehensive world of  Data Science with our meticulously designed …
What you'll learn
Master measures of central tendency, dispersion, skewness, and kurtosis to effectively describe and summarize data. Utilize probability and probability distributions to make informed decisions.
Learn to use techniques such as Principal Component Analysis, Hierarchical and Non-Hierarchical Clustering, Logistic Regression, K-Nearest Neighbors, Support Vector Machines, Naïve Bayes, Random Forests, Decision Trees, Gradient Boosting, and XGBoost.
Gain insights into Markov Chains, Extended Markov Chains, and Bellman’s Equation to understand reinforcement learning concepts.
Analyze relationships between variables and predict outcomes using various regression techniques.
Develop and apply Artificial Neural Networks, Recurrent Neural Networks, and Convolutional Neural Networks for tasks like image detection and analysis.
Employ techniques such as Bag of Words, TF-IDF, Word Embedding, and Sentiment Analysis to analyze and interpret text data.
Learn to build and deploy machine learning applications using frameworks such as Django, Flask, BentoML, and FastAPI.
Design and implement recommendation systems using Next Best Offer Product Recommendations, Collaborative Filtering, and Content-Based Filtering.
