Data Analytics Full Course 2026 [FREE] | Data Analytics Tutorial For Beginners | 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 transform raw data into meaningful business insights. You will learn key concepts such as data collection, data cleaning, data transformation, and exploratory data analysis. The tutorial also covers important tools including Excel, SQL, Python, Tableau, and Power BI for analysis and visualization. By the end of this data analytics tutorial for beginners, you will clearly understand data analytics concepts, tools, and skills needed to start a career in data analytics.

00:00:00 - Introduction to Data Analytics Full Course 2026 00:03:29 - What Is Data Analytics? 00:09:49 - Data Analyst Roadmap 2026 00:20:43 - Top 5 Tools For Data Analysts In 2026 00:32:22 - Top 5 Data Analytics Courses In 2026 00:44:31 - Business Analyst vs Data Analyst 00:53:16 - Data Analytics For Beginners 01:03:05 - Data Analytics Using R 01:56:00 - Excel for Data Analytics 2026 03:05:05 - Tableau Tutorial For Beginners 06:56:44 - Downloading Tableau Desktop 07:12:13 - Benefits of data visualization 07:45:55 - Connecting the Superstore workbook 07:54:33 - Data source page and metadata 08:05:03 - Tableau Prep and data cleaning 08:58:26 - Worksheet view and field concepts 09:13:17 - Building the first chart 09:39:30 - Publishing to Tableau Public 10:02:18 - Introduction to Power BI 10:18:14 - Understanding Power BI Workflow 11:58:25 - Building a Data Model 12:07:08 - Introduction to DAX (Data Analysis Expressions) 13:00:25 - Visualizations in Power BI 14:06:48 - Power BI Tips, Tricks, and Common Mistakes 15:01:59 - Basic SQL Queries 15:57:49 - Inserting, Updating, and Deleting Data 16:26:16 - Mastering SQL JOINS 17:02:45 - Subqueries and Nested Queries 17:37:21 - Views, Functions, and Stored Procedures 18:19:26 - Real-World SQL Projects 19:48:51 - Certification Prep 20:07:23 - Advanced SQL Course 2026 21:39:10 - Importing data and basic queries 22:31:01 - Logical operators and ranges 23:29:00 - GROUP BY and HAVING 24:23:27 - LIKE operator and wildcards 25:15:59 - Join practice in classic models 26:32:20 - Creating custom tables 27:01:49 - DDL commands overview 28:12:22 - Removing duplicate rows 29:09:46 - Constraints and validation rules 29:53:03 - Gen AI Powered SQL For Data Analytics 30:03:17 - ACID properties explained 31:21:16 - Relationship types and cardinality 32:15:21 - Database commands and basic setup 33:43:05 - SELECT queries and filtering 34:23:03 - Query logic and aggregation 35:11:49 - String functions in SQL 35:28:32 - Date functions and import workflow 36:08:43 - Using ChatGPT for SQL practice 36:11:15 - How To Use AI In Data Analytics 37:12:13 - Jupyter setup, first scripts, IDEs, notebooks 37:33:33 - Core basics: variables, objects, numerics 38:14:29 - Collections and operations, hierarchy, math 39:27:41 - Conditionals and loops with exercises 40:23:05 - If-statement exercise and file handling 41:31:09 - Functions, exceptions, iterators, modules 42:27:43 - Comprehensions and regular expressions 43:03:40 - Exploratory data analysis demo 44:41:31 - Flask REST API layered application 45:10:44 - Data Analytics Projects For Beginners 46:44:52 - Data Analyst Interview Questions And Answers

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