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Data Analyst Full Course 2026 | Learn Data Analytics In 24 Hours | Data Analytics | Simplilearn

35 Visningar· 07/05/26
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đŸ”„Data Analyst Masters Program - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=Ul4BUSvMhT4&utm_medium=Description&utm_source=Youtube
đŸ”„IIT Kanpur - Course in Data Analytics and Generative AI - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=Ul4BUSvMhT4&utm_medium=Description&utm_source=Youtube
đŸ”„IITG - Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=Ul4BUSvMhT4&utm_medium=Description&utm_source=Youtube

This video on Data Analyst Full Course 2026 by Simplilearn will help you learn data analytics from beginner to advanced level and understand how to work with data to generate insights and support business decisions. The course begins with an introduction to data analytics and explains the role of a data analyst in modern organizations. You will learn the fundamentals of data analysis, including data collection, data cleaning, and data transformation. The tutorial covers important tools such as Excel, SQL, Python, and data visualization tools like Tableau and Power BI. The course also explains key concepts like data modeling, statistics, and business intelligence. You will learn how to analyze datasets, identify trends, and make data-driven decisions. By the end of this data analytics tutorial for beginners, you will clearly understand data analysis tools, techniques, and workflows needed to start a career as a data analyst.

Following are the topics covered in the Data Analyst Full Course 2026:
00:00:00 - Introduction to Data Analytics Full Course 2026
00:03:55 - What Is Data Analytics?
00:10:15 - Data Analyst Roadmap 2026
00:21:09 - Business Analyst vs Data Analyst
00:29:54 - Data Analytics For Beginners
00:39:43 - Data Analytics Using R
01:32:38 - Excel for Data Analytics 2026
01:35:16 - What is Data Analytics
01:37:25 - Types of Data Analytics
01:40:40 - Why Excel is Still Relevant for Data Analysis
01:44:10 - Excel Interface and Key Functions
01:48:22 - Text To Columns
01:53:31 - Age Groups Creation Using Conditional Statements in Excel
01:57:23 - Flash Fill in Excel
01:59:16 - LEFT() in Excel
02:03:32 - Data Validation in Excel
02:09:58 - Workbook
02:11:40 - Alt+H+O+I (auto adjust Cell width in Excel) Alt+H+OA (Auto Adjust Cell Height in Excel)
02:13:33 - Freeze Cells in Excel
02:14:11 - Statistics in Excel
02:21:33 - Filter Function in Excel (Load Data Copying or moving in excel)
02:23:29 - Data Analytics in Excel (What-If Analysis in excel, Forecast in excel)
02:25:56 - How to import Data to excel
02:26:38 - Pivot Tables in Excel
02:28:33 - Pivot Analyze and Pivot Charts in Excel
02:36:05 - How to build an interactive Dashboard in Excel
02:38:21 - How to insert Slicers in Excel
02:40:21 - Report Connections in Slicers
02:41:43 - Power BI Tutorial for Beginners
02:44:43 - Chapter 1: Introduction to Power BI
03:00:39 - Chapter 2: Understanding Power BI Workflow
03:25:03 - Chapter 3: Connecting to Data Sources
03:34:19 - Chapter 4: Data Transformation with Power Query Editor
04:40:50 - Chapter 5: Building a Data Model
04:49:33 - Chapter 6: Introduction to DAX (Data Analysis Expressions)
05:42:50 - Chapter 7: Visualizations in Power BI
06:20:24 - Chapter 8: Power BI Service – Publishing and Sharing Reports
06:49:13 - Chapter 0: Power BI Tips, Tricks, and Common Mistakes
07:08:57 - Chapter 10: Final Quiz and Certification Resource Guide
07:20:36 - SQL Tutorial for Beginners
07:24:38 - Chapter 01: Introduction to SQL and Database Basics
07:44:24 - Chapter 02: Basic SQL Queries
08:28:09 - Chapter 03: Understanding Data Types and Operators
08:40:14 - Chapter 04: Inserting, Updating, and Deleting Data
09:08:41 - Chapter 05: Mastering SQL JOINS
09:29:06 - Chapter 06: Grouping and Aggregating Data
09:45:10 - Chapter 07: Subqueries and Nested Queries
09:57:22 - Chapter 08: Data Modeling and Relationships
10:10:41 - Chapter 09: Indexing and Performance Tuning
10:19:46 - Chapter 10: Views, Functions, and Stored Procedures
10:34:07 - Chapter 11: Transactions and Error Handling
11:01:51 - Chapter 12: Real-World SQL Projects
11:51:12 - Chapter 13: SQL for Data Analysis
12:06:56 - Chapter 14: SQL Interview Questions
12:31:16 - Chapter 15: Certification Prep
12:49:48 - Python For Data Analytics
21:08:01 - Data Analytics Projects For Beginners
22:42:09 - Data Analyst Interview Questions And Answers

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