Skip to main content

Diploma In Data Analytics with Excel and Power BI


I will Be teaching the below mentioned course in association with Sanyukta Trust

Sanyukta Trust is proud to introduce a special course designed to transform you into Data Analytics Expert! In this course, you will benefit by learning how to use MS Excel and Power Bi (Business Intelligence) to read, clean, transform, visualize and analyze the data. 

Join our AIBTE (All India Board of Technical Education) Government recognised Online course of Diploma in Data Analytics with Microsoft Excel and Power Business Intelligence (Bi)

Session: 16 sessions plus assignment submissions 
Course Highlights:
- Introduction to Data Analytics & MS Office Tools
- In depth knowledge of MS Excel & Power Bi
- Clean and Transform data with Power Query
- Data Modelling with Dax/Power Pivot 
- 3D maps 
- Interactive Charts and Data Visualization with Slicers
- Interactive Dashboards
Days: Twice a Week
- Saturday - 5pm to 6.30pm
- Sunday - 11am to 12.30pm
Venue: Google Meet

Course Fees: Rs. 3500/- with Limited Seats
Early Bird Discount: Rs. 3000/- (Till 4th Feb, 2021)

Last Date to Register: 5th Feb, 2021
Session Starting: 6th Feb, 2021

Who can apply?
CMA, CA, MBA, Engineers, IT Professionals, Banking, Finance, Marketing, Digital Marketing & Supply Chain Professionals, Students in UG/PG programs, HSC pass-outs, and aspiring professionals of any other educational background.
Jobs opportunities: IT System Analyst, Healthcare Data Analyst, Operations Analyst, Data Scientist, Data Analytics Consultant, Quantitative Analyst, Big Data Specialist, Social Media Specialist, Digital Marketing Experts
Interested???
📞 or ✉️ us on 9769791955 | 9820453399 | 9987936548 | 8850067554

Comments

  1. This comment has been removed by a blog administrator.

    ReplyDelete
  2. This comment has been removed by a blog administrator.

    ReplyDelete
  3. This comment has been removed by a blog administrator.

    ReplyDelete
  4. This comment has been removed by a blog administrator.

    ReplyDelete
  5. This comment has been removed by a blog administrator.

    ReplyDelete
  6. This comment has been removed by a blog administrator.

    ReplyDelete
  7. This comment has been removed by a blog administrator.

    ReplyDelete
  8. This comment has been removed by a blog administrator.

    ReplyDelete
  9. This comment has been removed by a blog administrator.

    ReplyDelete
  10. This comment has been removed by a blog administrator.

    ReplyDelete
  11. This comment has been removed by a blog administrator.

    ReplyDelete
  12. This comment has been removed by a blog administrator.

    ReplyDelete
  13. This comment has been removed by a blog administrator.

    ReplyDelete
  14. This comment has been removed by a blog administrator.

    ReplyDelete
  15. This comment has been removed by a blog administrator.

    ReplyDelete

Post a Comment

Popular posts from this blog

40 Power Query Editor features in Power BI

40 Power Query Editor features in Power BI along with examples: 1. Filter Rows: Remove rows based on conditions. Example: Remove rows with a null value in the "CustomerName" column. 2. Remove Duplicates: Eliminate duplicate rows. Example: Remove duplicate entries based on the "OrderID" column. 3. Sort Rows: Arrange rows in ascending or descending order. Example: Sort data by "Date" column in descending order. 4. Replace Values: Substitute one value with another. Example: Replace "N/A" with "Unknown" in the "Status" column. 5. Split Columns: Divide a column into multiple columns. Example: Split "FullName" into "FirstName" and "LastName." 6. Merge Queries: Combine data from multiple sources. Example: Merge customer and order data based on the "CustomerID." 7. Group By: Aggregate data based on a specific column. Example: Group sales data by "ProductCategory" and calculate the sum ...

20 Time Intelligence Dax Measures

20 Time Intelligence DAX measures in Power BI with examples: Year-to-Date Sales: css Copy code YTD Sales = TOTALYTD( [Total Sales] , Calendar [Date] ) Month-to-Date Sales: css Copy code MTD Sales = TOTALMTD( [Total Sales] , Calendar [Date] ) Quarter-to-Date Sales: css Copy code QTD Sales = TOTALQTD( [Total Sales] , Calendar [Date] ) Previous Year Sales: mathematica Copy code Previous Year Sales = CALCULATE ( [ Total Sales ] , SAMEPERIODLASTYEAR ( Calendar [ Date ] ) ) Year-over-Year Growth: css Copy code YoY Growth = DIVIDE( [Total Sales] - [Previous Year Sales] , [Previous Year Sales] ) Rolling 3-Month Average Sales: sql Copy code 3 M Rolling Avg Sales = AVERAGEX(DATESINPERIOD(Calendar[ Date ], MAX (Calendar[ Date ]), -3 , MONTH ), [Total Sales]) Cumulative Sales: scss Copy code Cumulative Sales = SUMX (FILTER(ALL(Calendar), Calendar [Date] <= MAX (Calendar[Date])), [Total Sales] ) Running Total Sales: scss Copy code Running Total Sales = SUMX (FILTER(ALL(Calendar), Calen...