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Batch 80 - Master's In Data Science - SK
23 April
23 April (194:13)
PPT
29th April
29th April (183:52)
29th April File
30th April
30th April (179:07)
30th April File
7th May
7th May (175:11)
7th May File
13th May
13th May (180:40)
13th May File
14th May
14th May (171:29)
14th May File
20th May
20th May (167:16)
20th May File
21st May
21st May (161:12)
21st May File
27th May
27th May (171:34)
27th May File
28th May
28th May (158:50)
28th May File
3rd June
3rd June (177:05)
10 June
10 June (172:13)
files.zip
11th June
11th June (165:26)
11th June File
17th June
17th June (158:08)
17th June File
24th June
24th June (160:54)
24th June File
25th June
25th June (152:10)
25th June File
1st July
1st July Recording (168:01)
1st July Files
2nd July
2nd July (164:19)
2nd July Files
8th July
8th July Recording (153:49)
8th July Files
15th July
15th July Recording (166:33)
15th July File
16th July
16th July Recording (94:52)
22nd July
22nd July Recording (175:41)
22nd July Files
23rd July
23rd July Recording (158:35)
23rd July Files
29th July
29th July Recording (154:47)
29th July Files
30th July
30th July Recording (165:54)
30th July Files
5th August
5th August Recording (158:22)
5th August Files
12th August
12th August Recording (158:28)
12th August Files
13 August
13 August Recording 1 (92:38)
13 August Recording 2 (65:56)
13th August Files
19 August
19th August Recording (164:19)
19th August Files
20 August
20 August Recording (136:39)
20th August File
26 August
26th August Recording (154:24)
26th August File
27 August
27th August Recording (150:27)
27th August File
3 September
3 September Recording (165:43)
3 September File
9 September
9 September Recording (151:50)
9th September File
10th September
10th September Recording (131:19)
10th September File
16th September
16th September Recording (113:18)
16th September File
17th September
17th September Recording (134:25)
17th September File
Career Building Session 1 - 20th September
Career Building Session 1 - 20th September (48:36)
Career Building Session 2 - 21st September
Career Building Session 2 - 21st September (89:14)
Career Building Session 3 - 22nd September
Career Building Session 3 - 22nd September (114:51)
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
Microsoft Power Bi - The Complete Bootcamp
Microsoft Power Bi - The Complete Bootcamp
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
Totals and Sub Totals in Matrix or Pivot Table
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