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Batch 83 - Master's In Data Science (NX)
4 June
4 June video recording (185:43)
Day1.zip
10th June
10th June (202:23)
10th June File
11th June
11th June (184:35)
11th June File
17 June
17 June Recording (193:07)
17 June Files
18th June
18th June (184:52)
18th June File
24th June
24th June Recording (160:22)
24th June File
25th June
25th June (192:15)
25th June File
1st July
1st July Recording (181:36)
1st July File
2nd July
2nd July (196:44)
2nd July Files
8th July
8th July Recordings (192:30)
8th July Files
9th July
9th July Recording (188:40)
9th July Files
15th July
15th July Recording (147:04)
15th July Files
16th July
16th July Recording (178:17)
16th July File
22nd July
22nd July Recording (182:31)
22nd July Files
23rd July
23rd July Recording (185:27)
23rd July Files
29th July
29th July Recording (171:10)
29th July Files
30th July
30th July Recording (166:01)
30th July Files
5th August
5th August Recording (203:39)
5th August Files
6th August
6th August Recording (211:31)
6th August Files
12 August
12 August Recording (159:30)
12th August Files
13 August
13 August Recording (173:40)
13 August Files
19 August
19th August Recording (185:40)
19th August File
20 August
20th August Recording (192:02)
20th August File
26th August
26th August Recording (182:55)
26th August File
27th August
27th August Recording (191:25)
27th August File
2nd September
2nd September Recording (146:56)
2nd September File
3rd September
3rd September Recording (180:01)
3rd September File
9th September
9th September Recording (152:00)
9th September File
10 September
10 September Recording (143:08)
10th September File
16th September
16th September Recording (188:13)
16th September File
17th September
17th September Recording (178:28)
17th September File
23rd September
23rd September Recording (174:28)
23rd September File
24th September
24th September Recording (202:04)
24th September File
30th September
30th September Recording (180:23)
30th September File
1st October
1st October Recording (186:11)
1st October File
7 October
7 October Recording (162:33)
7th October File
8th October
8th October Recording (182:42)
8th October File
15th October
15th October Recording (170:25)
15th October File
21 October
21 October Recording (175:25)
21 October Files
22nd October
22nd October Recording (145:17)
22nd October File
4th November
4th November Recording - Part 1 (18:23)
4th November Recording - Part 2 (174:20)
4th November File
5th November
5th November Recording (197:37)
5th November File
Career Building Session 1 - 28th October
Career Building Session 1 - 28th October (121:29)
Career Building Session 2 - 29th October
Career Building Session 2 - 29th October (88:49)
Interview Questions
Resumes building and Sample Interview Questions
Sample Resume
Sample Resume
Sample Interview Question
Handy Tips for Aspiring Data Scientist to make a resume
Company wise Data Science Question
What should a candidate ask in an interview
Next Steps For Placement Assistance
Next Steps For Placement Assistance
Getting Started
What is PowerBi ? (9:20)
PowerBi Desktop Installation (5:12)
PowerBi Walkthrough (6:19)
Introduction to Database (26:50)
Introduction to Database objects (48:28)
Installing SQL Server (8:44)
Installing Sample Database (7:19)
Introduction to Relational Database - Codds Rules (52:14)
Learning ER Diagram (42:17)
Create Tables and Insert using SQL Server (26:24)
Reading content from the Database (51:14)
Introduction to OLAP Database (14:55)
Schema Modelling - Star vs Snowflake (29:55)
What is PowerBi ? (9:20)
PowerBi Desktop Installation (5:12)
PowerBi Walkthrough (6:19)
Introduction to Database (26:50)
Introduction to Database objects (48:28)
Installing SQL Server (8:44)
Installing Sample Database (7:19)
Introduction to Relational Database - Codds Rules (52:14)
Learning ER Diagram (42:17)
Create Tables and Insert using SQL Server (26:24)
Reading content from the Database (51:14)
Introduction to OLAP Database (14:55)
Schema Modelling - Star vs Snowflake (29:55)
What is PowerBi ? (9:20)
PowerBi Desktop Installation (5:12)
PowerBi Walkthrough (6:19)
Introduction to Database (26:50)
Introduction to Database objects (48:28)
Installing SQL Server (8:44)
Installing Sample Database (7:19)
Introduction to Relational Database - Codds Rules (52:14)
Learning ER Diagram (42:17)
Create Tables and Insert using SQL Server (26:24)
Reading content from the Database (51:14)
Introduction to OLAP Database (14:55)
Schema Modelling - Star vs Snowflake (29:55)
Connecting to Data
How to Configure SSMS and SQL Server DB Power BI (48:15)
Connecting to CSV (7:19)
Practice with CSV file (7:52)
Connecting to Excel File with Data (9:22)
Connecting to Hidden Sheet in Excel (3:36)
Connecting with Excel sheet with blank columns (4:00)
Read password protected excel file (3:04)
Read formula from Excel (6:39)
Practice with Excel Data (12:12)
Connecting to Folder of Data (6:22)
Practice with Folder Data (10:57)
Getting Data from Web (4:36)
Web Data Practice (21:03)
Overview of Connecting to SQL Server (6:23)
Connecting to SQL Server and Understanding the data (12:12)
Creating and Importing SQL Views using Import (12:23)
Reading using SQL Query (6:38)
Connecting to ESPN CricInfo (4:26)
Connecting to MYSQL DB (5:34)
Connecting to SQLITE DB (5:17)
Connecting to Wikipedia (3:26)
Include or Exclude part of Visualization (2:20)
How to Configure SSMS and SQL Server DB Power BI (48:15)
Connecting to CSV (7:19)
Practice with CSV file (7:52)
Connecting to Excel File with Data (9:22)
Connecting to Hidden Sheet in Excel (3:36)
Connecting with Excel sheet with blank columns (4:00)
Read password protected excel file (3:04)
Read formula from Excel (6:39)
Practice with Excel Data (12:12)
Connecting to Folder of Data (6:22)
Practice with Folder Data (10:57)
Getting Data from Web (4:36)
Web Data Practice (21:03)
Overview of Connecting to SQL Server (6:23)
Connecting to SQL Server and Understanding the data (12:12)
Creating and Importing SQL Views using Import (12:23)
Reading using SQL Query (6:38)
Connecting to ESPN CricInfo (4:26)
Connecting to MYSQL DB (5:34)
Connecting to SQLITE DB (5:17)
Connecting to Wikipedia (3:26)
Include or Exclude part of Visualization (2:20)
How to Configure SSMS and SQL Server DB Power BI (48:15)
Connecting to CSV (7:19)
Practice with CSV file (7:52)
Connecting to Excel File with Data (9:22)
Connecting to Hidden Sheet in Excel (3:36)
Connecting with Excel sheet with blank columns (4:00)
Read password protected excel file (3:04)
Read formula from Excel (6:39)
Practice with Excel Data (12:12)
Connecting to Folder of Data (6:22)
Practice with Folder Data (10:57)
Getting Data from Web (4:36)
Web Data Practice (21:03)
Overview of Connecting to SQL Server (6:23)
Connecting to SQL Server and Understanding the data (12:12)
Creating and Importing SQL Views using Import (12:23)
Reading using SQL Query (6:38)
Connecting to ESPN CricInfo (4:26)
Connecting to MYSQL DB (5:34)
Connecting to SQLITE DB (5:17)
Connecting to Wikipedia (3:26)
Include or Exclude part of Visualization (2:20)
Creating Visuals
Line Chart (6:22)
Stacked Bar Chart (4:49)
100 pc Stacked Bar Chart (4:54)
Pie Chart (5:24)
Donut Chart (3:56)
Area Chart (6:04)
Stacked Area Chart (4:23)
Line and Stack Chart (5:48)
Line and Clustered Chart (2:45)
Waterfall Model (7:11)
Key Influencer Chart (6:56)
Funnel Chart (6:28)
Gauge Chart (4:50)
Ribbon Chart (7:24)
Card KPI (4:07)
Sankey Chart (6:30)
Scatter Chart (7:34)
Indicator KPI (6:01)
Bow Tie Chart (7:38)
Tree Map (5:17)
Advance Infographic (7:23)
How to change Aggregation or Calculation type (6:29)
How to create matrix or pivot chart (4:10)
Table Chart (5:12)
Animated Bar Race Chart (7:13)
Bullet Chart (6:38)
Tree Based Custom Visualization (5:45)
World Cloud Visualization (5:10)
Tornado Chart (6:24)
Line Chart (6:22)
Stacked Bar Chart (4:49)
Visual For Natural Language Processing (5:34)
100 pc Stacked Bar Chart (4:54)
Pie Chart (5:24)
Show or Hide Visualization on Dash board (3:12)
Donut Chart (3:56)
Area Chart (6:04)
Stacked Area Chart (4:23)
Line and Stack Chart (5:48)
Line and Clustered Chart (2:45)
Waterfall Model (7:11)
Key Influencer Chart (6:56)
Funnel Chart (6:28)
Gauge Chart (4:50)
Ribbon Chart (7:24)
Card KPI (4:07)
Sankey Chart (6:30)
Scatter Chart (7:34)
Indicator KPI (6:01)
Bow Tie Chart (7:38)
Tree Map (5:17)
Advance Infographic (7:23)
How to change Aggregation or Calculation type (6:29)
How to create matrix or pivot chart (4:10)
Table Chart (5:12)
Animated Bar Race Chart (7:13)
Bullet Chart (6:38)
Tree Based Custom Visualization (5:45)
World Cloud Visualization (5:10)
Tornado Chart (6:24)
Visual For Natural Language Processing (5:34)
Show or Hide Visualization on Dash board (3:12)
Line Chart (6:22)
Stacked Bar Chart (4:49)
100 pc Stacked Bar Chart (4:54)
Pie Chart (5:24)
Donut Chart (3:56)
Area Chart (6:04)
Stacked Area Chart (4:23)
Line and Stack Chart (5:48)
Line and Clustered Chart (2:45)
Waterfall Model (7:11)
Key Influencer Chart (6:56)
Funnel Chart (6:28)
Gauge Chart (4:50)
Ribbon Chart (7:24)
Card KPI (4:07)
Sankey Chart (6:30)
Scatter Chart (7:34)
Indicator KPI (6:01)
Bow Tie Chart (7:38)
Tree Map (5:17)
Advance Infographic (7:23)
How to change Aggregation or Calculation type (6:29)
How to create matrix or pivot chart (4:10)
Table Chart (5:12)
Animated Bar Race Chart (7:13)
Bullet Chart (6:38)
Tree Based Custom Visualization (5:45)
World Cloud Visualization (5:10)
Tornado Chart (6:24)
Visual For Natural Language Processing (5:34)
Show or Hide Visualization on Dash board (3:12)
Data Wrangling
Relative Date Filter Tutorial for selecting Previous and Period Range (3:27)
Create a new custom PowerBi table (3:11)
Create a summarized table from existing table (3:31)
Mini Project Connect clean and Model Data (15:50)
Create a new measure PowerBi to keep all measures at one place (4:03)
PowerBi Advance Date Filtering Tutorial with Example (6:21)
Create a new table in PowerBi from existing table based on filter conditions (3:55)
Drill through Filter Tutorial with example to connect pages (7:43)
Create and Use PowerBi Hierarchy (3:56)
Numeric Field Formatting and Conditional Formatting (5:13)
Totals and Sub Totals in Matrix or Pivot Table (4:22)
Visual vs Page vs Page All Filters (3:42)
Changing or Formatting Slicer (6:30)
How to create PowerBi Text Slicer (7:26)
How to create Date Slicer (7:45)
Relative Date Filter Tutorial for selecting Previous and Period Range (3:27)
Create a new custom PowerBi table (3:11)
Create a summarized table from existing table (3:31)
Mini Project Connect clean and Model Data (15:50)
Create a new measure PowerBi to keep all measures at one place (4:03)
PowerBi Advance Date Filtering Tutorial with Example (6:21)
Create a new table in PowerBi from existing table based on filter conditions (3:55)
Drill through Filter Tutorial with example to connect pages (7:43)
Create and Use PowerBi Hierarchy (3:56)
Numeric Field Formatting and Conditional Formatting (5:13)
Totals and Sub Totals in Matrix or Pivot Table (4:22)
Visual vs Page vs Page All Filters (3:42)
Changing or Formatting Slicer (6:30)
How to create PowerBi Text Slicer (7:26)
How to create Date Slicer (7:45)
Relative Date Filter Tutorial for selecting Previous and Period Range (3:27)
Create a new custom PowerBi table (3:11)
Create a summarized table from existing table (3:31)
Mini Project Connect clean and Model Data (15:50)
Create a new measure PowerBi to keep all measures at one place (4:03)
PowerBi Advance Date Filtering Tutorial with Example (6:21)
Create a new table in PowerBi from existing table based on filter conditions (3:55)
Drill through Filter Tutorial with example to connect pages (7:43)
Create and Use PowerBi Hierarchy (3:56)
Numeric Field Formatting and Conditional Formatting (5:13)
Totals and Sub Totals in Matrix or Pivot Table (4:22)
Visual vs Page vs Page All Filters (3:42)
Changing or Formatting Slicer (6:30)
How to create PowerBi Text Slicer (7:26)
How to create Date Slicer (7:45)
DAX FORMULAE
Dax Introduction (5:19)
Discussion on DAX funtions (7:01)
DAX Example (4:16)
DAX Calculated Column (14:17)
Find Values for Every Last Day of the Year (4:23)
DAX Function DATESINPERIOD (4:08)
DAX Function ClosingBalanceQuarter to find the value at the last day of Quarter (3:03)
DAX Function ClosingBalanceYear to capture on the last day of the year (3:07)
DAX Function DatesMTD and Calculation for running month to date cumulative values (3:37)
DAX Function DatesQTD and calculating for running quarter to date cumulative values (3:27)
DAX Time Intellingence Date Add Function Calculation to get Historical and Future Values (9:37)
DAX Function DatesYTD and Calculation for running year to date cumulative values (3:35)
DAX Time Intelligence Date Function to calculate values between two dates (4:04)
Time Intelligence Dax Function to find the value on last day of the month (3:53)
Dax Introduction (5:19)
Discussion on DAX funtions (7:01)
DAX Example (4:16)
DAX Calculated Column (14:17)
Find Values for Every Last Day of the Year (4:23)
DAX Function DATESINPERIOD (4:08)
DAX Function ClosingBalanceQuarter to find the value at the last day of Quarter (3:03)
DAX Function ClosingBalanceYear to capture on the last day of the year (3:07)
DAX Function DatesMTD and Calculation for running month to date cumulative values (3:37)
DAX Function DatesQTD and calculating for running quarter to date cumulative values (3:27)
DAX Time Intellingence Date Add Function Calculation to get Historical and Future Values (9:37)
DAX Function DatesYTD and Calculation for running year to date cumulative values (3:35)
DAX Time Intelligence Date Function to calculate values between two dates (4:04)
Time Intelligence Dax Function to find the value on last day of the month (3:53)
Dax Introduction (5:19)
Discussion on DAX funtions (7:01)
DAX Example (4:16)
DAX Calculated Column (14:17)
Find Values for Every Last Day of the Year (4:23)
DAX Function DATESINPERIOD (4:08)
DAX Function ClosingBalanceQuarter to find the value at the last day of Quarter (3:03)
DAX Function ClosingBalanceYear to capture on the last day of the year (3:07)
DAX Function DatesMTD and Calculation for running month to date cumulative values (3:37)
DAX Function DatesQTD and calculating for running quarter to date cumulative values (3:27)
DAX Time Intellingence Date Add Function Calculation to get Historical and Future Values (9:37)
DAX Function DatesYTD and Calculation for running year to date cumulative values (3:35)
DAX Time Intelligence Date Function to calculate values between two dates (4:04)
Time Intelligence Dax Function to find the value on last day of the month (3:53)
End to end Visualization
Visualization 1 - Big Picture (54:38)
Working with Call Center Data (49:23)
Sales Insights Performance Dashboard (27:46)
Data Quality Analysis (34:56)
Customer Ageing Analysis (26:30)
Customer Ageing
V4 KPI List
Visualization 1 - Big Picture (54:38)
Working with Call Center Data (49:23)
Sales Insights Performance Dashboard (27:46)
Data Quality Analysis (34:56)
Customer Ageing Analysis (26:30)
Customer Ageing
V4 KPI List
Visualization 1 - Big Picture (54:38)
Working with Call Center Data (49:23)
Sales Insights Performance Dashboard (27:46)
Data Quality Analysis (34:56)
Customer Ageing Analysis (26:30)
Customer Ageing
V4 KPI List
DAX Time Intellingence Date Add Function Calculation to get Historical and Future Values
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