filmov
tv
Excel Formula Full Course: Become a PRO in 45 Minutes | Become a Data Analyst Faster
Показать описание
▶ Dataset Excel file for practice
▶ Have queries regarding Data Analytics or studying abroad? Get in touch!
Are you ready to elevate your Excel skills? In this 45+ minute comprehensive tutorial, we dive deep into advanced Excel formulas that every professional should know. Whether you're a data analyst, business analyst, finance expert, or just someone looking to enhance their Excel expertise, this video covers it all. Learn powerful techniques to optimize your data handling, streamline calculations, and unlock the full potential of Excel. Watch now and take your Excel proficiency to the next level!
IF you follow this tutorial step by step with me, then you will be able to understand these complex formulas and be able to implement in your office reports.
▶ TIMESTAMPS:
00:30 Introduction to the Excel Course
01:25 Case Study1: Total Sales for Electronics in EAST region
09:00 Case Study 2: Total Units Sold for Furniture in WEST region
09:25 Case Study 3: Count of Clothing Transactions in East Region
10:40 Case Study 4: Average Sales for Electronics
13:01 Case Study 5: Calculate Sales for a specific Date
15:30 Case Study 6: Find 1st Sales for Furniture using Index Match
17:25 Case Study 7: List All the unique categories in the dataset
20:10 Case Study 8: List all the records with the sales greater than 3000
22:05 Case Study 9: Transactions with TOP Sales Value
25:00 Case Study 10: Count of Unique Sales Date
25:50 Case Study 11: Sales of most recent Date
27:25 Case Study 12: Filter Transactions by Category & Region
30:35 Case Study 13: Pivot/Extract the sales on the basis on YEAR
35:45 Case Study 14: List all transactions with sales greater than 8000 + Details extraction
38:40 Case Study 15: Filter the data and extract only the desired columns
40:00 BONUS Exercise
💡EXCEL Playlist
🛑Data Analyst Journey: =====================
• How I would Study Data Analytics in 2...
📁 Data Cleaning in EXCEL: ================
📁 POWER QUERY Tutorial: ================
💡 LEARN MORE ========================
For the dataset, please check the comment section.
▶ Have queries regarding Data Analytics or studying abroad? Get in touch!
Are you ready to elevate your Excel skills? In this 45+ minute comprehensive tutorial, we dive deep into advanced Excel formulas that every professional should know. Whether you're a data analyst, business analyst, finance expert, or just someone looking to enhance their Excel expertise, this video covers it all. Learn powerful techniques to optimize your data handling, streamline calculations, and unlock the full potential of Excel. Watch now and take your Excel proficiency to the next level!
IF you follow this tutorial step by step with me, then you will be able to understand these complex formulas and be able to implement in your office reports.
▶ TIMESTAMPS:
00:30 Introduction to the Excel Course
01:25 Case Study1: Total Sales for Electronics in EAST region
09:00 Case Study 2: Total Units Sold for Furniture in WEST region
09:25 Case Study 3: Count of Clothing Transactions in East Region
10:40 Case Study 4: Average Sales for Electronics
13:01 Case Study 5: Calculate Sales for a specific Date
15:30 Case Study 6: Find 1st Sales for Furniture using Index Match
17:25 Case Study 7: List All the unique categories in the dataset
20:10 Case Study 8: List all the records with the sales greater than 3000
22:05 Case Study 9: Transactions with TOP Sales Value
25:00 Case Study 10: Count of Unique Sales Date
25:50 Case Study 11: Sales of most recent Date
27:25 Case Study 12: Filter Transactions by Category & Region
30:35 Case Study 13: Pivot/Extract the sales on the basis on YEAR
35:45 Case Study 14: List all transactions with sales greater than 8000 + Details extraction
38:40 Case Study 15: Filter the data and extract only the desired columns
40:00 BONUS Exercise
💡EXCEL Playlist
🛑Data Analyst Journey: =====================
• How I would Study Data Analytics in 2...
📁 Data Cleaning in EXCEL: ================
📁 POWER QUERY Tutorial: ================
💡 LEARN MORE ========================
For the dataset, please check the comment section.
Комментарии