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Batch 82 - Master's In Data Science (SS)
21st May
21st May (162:50)
21st May File
27th May
27th May (180:33)
27th May File
3rd June
3rd June (189:08)
3rd June File
4th June
4th June (138:38)
4th June File
10 June
10 June Video Recording (180:56)
10th June File
11th June
11th June (116:57)
11th June File
17th June
17th June (179:39)
17th June File
18 June
18 June Recording (171:38)
18 June Files
24th June
24th June (188:17)
24th June File
1st July
1st July Recording (180:06)
1st July Files
2nd July
2nd July Recording (104:28)
2nd July Files
8th July
8th July Recording (170:29)
8th July Files
9th July
9th July Recording (171:59)
9th July Files
15th July
15th July Recording (166:16)
15th July File
16th July
16th July Recording (178:20)
16th July File
23rd July
23rd July Recording (195:11)
23rd July Files
30th July
30th July Recording (137:56)
30th July Files
5th August
5th August Recording (181:01)
5th August Files
6th August
6th August Recording (182:04)
6th August Files
12th August
12th August Recording (177:46)
12th August File
19th August
19th August Recording (148:45)
19th August File
20 August
20 August recording (158:26)
20th August File
26th August
26th August recording (134:50)
26th August File
27th August
27th August Recording - part 1 (35:49)
27th August Recording - part 2 (142:42)
27th August File
3 September
3 September Recording (177:03)
3rd September File
9 September
9 September Recording (122:14)
9th September File
10th September
10th September Recording (119:36)
10th September File
16th September
16th September Recording (181:11)
16th September File
17th September
17th September Recording (178:10)
17th September File
23rd September
23rd September Recording (183:24)
23rd September File
24th September
24th September Recording (186:17)
24 September files
30th September
30th September Recording (176:51)
30th September File
1st October
1st October Recording (188:25)
1st October File
7th October
7th October Recording (235:13)
7th October File
8th October
8th October Recording (188:03)
8th October File
14th October
14th October Recording (186:48)
14th October File
8 Advance Project Dataset
15th October
15th October Recording (169:35)
15th October 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 Resumee
Sample Resumee
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)
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)
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)
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)
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)
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
Installing SQL Server
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