Data Analytics Full Course 2026 | Data Analytics Tutorial | Data Analytics Course | Simplilearn

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This video on Data Analytics Full Course 2026 by Simplilearn will help you learn data analytics from beginner to advanced level and understand how to analyze data and generate insights for business decision making. The course begins with an introduction to data analytics and explains the role of data analysts in organizations. You will learn the fundamentals of data collection, data cleaning, and data transformation. The tutorial covers important tools such as Excel, SQL, Python, Tableau, and Power BI. You will understand how to perform exploratory data analysis, create dashboards, and visualize data effectively. The course also explains key concepts like statistics, data modeling, and business intelligence. You will learn how to identify trends, patterns, and insights from datasets. The tutorial also includes real-world examples and case studies to apply your skills. By the end of this data analytics tutorial for beginners, you will clearly understand data analytics tools, techniques, and workflows needed to start a career as a data analyst.

00:00:00 - Data Analytics Full Course 2026 00:02:53 - Power BI products overview 00:17:25 - First report and data import 00:29:39 - Desktop views and interface basics 01:03:31 - Power BI terminology explained 01:18:45 - Reconnecting data and ETL workflow 01:31:03 - Applied steps and connection modes 01:53:04 - Data types and modeling setup 02:32:37 - Power Query cleaning transformations 03:01:18 - Aggregation, append, and merge 03:59:46 - Power BI Service sign-in 04:25:17 - Service features and access control 04:57:34 - DAX foundations 05:44:14 - Filter levels in reports 06:07:29 - Building DAX measures 06:44:14 - More DAX function types 07:21:28 - Project Dashboard 08:01:36 - Understanding Data Types and Operators 08:13:41 - Inserting, Updating, and Deleting Data 08:42:08 - Mastering SQL JOINS 09:02:33 - Grouping and Aggregating Data 09:18:37 - Subqueries and Nested Queries 09:30:49 - Data Modeling and Relationships 09:44:08 - Indexing and Performance Tuning 09:53:13 - Views, Functions, and Stored Procedures 10:07:34 - Transactions and Error Handling 10:35:18 - Real-World SQL Projects 11:24:39 - SQL for Data Analysis 11:40:23 - SQL Interview Questions 12:04:43 - Certification Prep 12:23:15 - Python For Data Analytics 20:41:28 - Data Analytics Projects For Beginners 20:43:46 - Data Analytics With Excel - Data Validation in Excel - Conditional Formatting in Excel - Data Cleaning in Excel - Power Query in Excel - Pivot Tables in Excel 21:47:17 - Data Analytics with SQL - JOINS in SQL - Sub-Queries in SQL 22:18:01 - Power BI for Data Analytics 22:22:34 - Tableau For Data Analytics 22:35:36 - Data Analyst Interview Questions And Answers

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