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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