What You Will Learn Database Fundamentals Understand relational databases, tables, rows, columns, primary keys, foreign keys, and how data is stored and managed in database systems. SQL Queries Learn how to write SELECT statements, filter data, sort results, use conditions, and retrieve meaningful information from databases. Joins & Subqueries Gain practical knowledge of INNER JOIN,…
What You Will Learn Tableau Fundamentals Understand the Tableau interface, worksheets, dashboards, stories, data sources, and how Tableau is used for business intelligence reporting. Data Connection & Preparation Learn how to connect Tableau with Excel, databases, and other data sources, then clean and prepare data for analysis. Charts & Visualizations Create bar charts, line charts,…
What You Will Learn Power BI Fundamentals Understand the Power BI interface, reports, dashboards, datasets, workspaces, and how Power BI is used for business reporting. Data Import & Transformation Learn how to import data from Excel, databases, and other sources, then clean and transform data using Power Query. Data Modeling Understand relationships, tables, data models,…
What You Will Learn Artificial Intelligence Fundamentals Understand the basics of AI, how intelligent systems work, and how AI is used in real-world industries like IT, finance, healthcare, and business. Python for AI Learn Python programming concepts required for AI, including data handling, functions, libraries, and basic automation. Machine Learning Concepts Gain practical knowledge of…
What You Will Learn Data Analysis Fundamentals Understand the basics of data analysis, business data, KPIs, reporting, and how companies use data for decision-making. Advanced Excel Learn Excel formulas, pivot tables, charts, data cleaning, lookup functions, conditional formatting, and reporting techniques. SQL for Data Analysis Gain practical knowledge of SQL queries, joins, filters, grouping, subqueries,…
What You Will Learn Python for Data Science Learn Python programming, NumPy, Pandas, Matplotlib, and essential libraries used for data analysis and data science projects. Data Cleaning & Preprocessing Understand how to clean raw data, handle missing values, remove duplicates, transform data, and prepare datasets for analysis. Exploratory Data Analysis Learn how to analyze datasets,…
Learn database design, SQL queries, and data management skills used in real-world business applications.