Function Syntax | Text Functions in Excel | Formula Nesting – Session 04
01:05:55
Class 01 – Text Functions in Excel (LEFT, RIGHT, MID, FIND, LEN, SEARCH)
Data Analyst with AI – Session 01
01:07:26
Class 02 – Advanced Text Functions
Data Analyst with AI – Session 02
54:16
Class 03 – Logical Functions (IF, Nested IF, IF ELSE) | Order of Execution
Data Analyst with AI – Session 03
01:02:43
Class 04 – Logical Functions (IFS, SWITCH, TRUE)
Data Analyst with AI – Session 04
53:32
Class 05 – Logical Functions (AND, OR, Mixed AND-OR)
Data Analyst with AI – Session 05
01:03:12
Class 06 – Conditional Functions (COUNTIFS) for Data Analysis
Data Analyst with AI – Session 06
57:03
Class 07 – LOOKUP Functions (LOOKUP, VLOOKUP, INDEX & MATCH)
Data Analyst with AI – Session 07
01:39:58
Class 08 – Data Validation (Number, Text Length, List, Dynamic Criteria)
Data Analyst with AI – Session 08
01:05:52
Class 09 – Conditional Formatting in Excel (Basic to Advance Formatting)
Data Analyst with AI – Session 09
01:53:06
Class 10 – Data Visualization with Excel Charts (Column, Bar, Line, Histogram)
Data Analyst with AI – Session 10
01:33:52
Class 11 – Data Visualization with Excel Charts (Pie, Donut, Tree Map, Combo)
Data Analyst with AI – Session 11
01:36:02
Class 12 – Interactive Excel Dashboard (Data Analytics and Measuring KPI’s)
Data Analyst with AI – Session 12
58:59
Class 13 – Top/Worst Performers Analysis | Time Series Analysis in Excel
Data Analyst with AI – Session 13
50:33
Class 14 – Interactive Charts (KPI Charts, Dynamic Bar Charts)
Data Analyst with AI – Session 14
55:08
Class 15 – Interactive Charts (Line Chart, Combo Chart)
Data Analyst with AI – Session 15
01:05:11
Class 16 – Interactive Excel Dashboard Design
Data Analyst with AI – Session 16
01:11:37
Class 17 – Introduction of Power BI for Data Analytics | Steps to Build a Power BI Dashboard | ETL (Extract, Transform and Loading) Explained
Data Analyst with AI – Session 17
53:52
Class 18 – Introduction of Power Query | Practically Explanation of ETL (Extract, Transform and Loading) | Replace Values | Applied Steps Automation | Data Types
Data Analyst with AI – Session 18
28:52
Class 19 – Exploratory Data Analysis (EDA) Explained | Power Query (Removed Columns, Use First Row as Headers, Removed Other Columns, M-Code for Efficiency)
Data Analyst with AI – Session 19
36:18
Class 20 – Power Query: Text Transformations (Merge Columns, Upper, Lower, Proper, Trim, Clean) | Optimizing Power Query Steps | Promote Headers
Data Analyst with AI – Session 20
15:58
Class 21 – Power Query: Text Transformations: Extract Tools – Text Before/ After/ Between Delimiter | Split Columns – By Delimiters, By Upper to Lower, By Non-Digit to Digit
Data Analyst with AI – Session 21
23:44
Class 22 – Power Query: Data Quality Assurance – Handling Errors and Missing Data | Column Profiling | Column Distribution | Column Quality | Query Optimization
Data Analyst with AI – Session 22
20:45
Class 23 – Power Query: Number Functions (Standard – Addition, Multiple, Subtraction, Statistics: SUM, AVERAGE, MIN, MAX, Rounding)
Data Analyst with AI – Session 23
46:28
Class 24 – Power Query: Date Tools (Year, Name of the Month, Day Name, Start of Month, Start of Week) | Categorical vs Time Series Analysis
Data Analyst with AI – Session 24
27:18
Class 25 – Power Query: Conditional Columns | Conditional Operators | Data Buckets for Context Development
Data Analyst with AI – Session 25
29:09
Class 26 – Power Query: GROUP BY Tool for Data Reporting | Merge Queries (Left Join Connection)
Data Analyst with AI – Session 26
22:28
Class 27 – Power Query:
Data Analyst with AI – Session 27
36:57
Class 28 – Power Query:
Data Analyst with AI – Session 28
22:35
Class 29 – Power BI Fundamentals: Data Modelling Basics with Normalization | Star vs Snowflake Schema | Data Formatting | Data Categories
Data Analyst with AI – Session 29
36:57
Class 30 – Data Analysis Expression (DAX) – Basic Foundation | Difference between Power Query and Calculated Columns | DAX Function Categories | DAX Formula Syntax | TEXT Functions (CONCETENATE, &)
Data Analyst with AI – Session 30
36:33
Class 31 – Data Analysis Expression (DAX): TEXT Functions (LEFT, RIGHT, UPPER, LOWER, SUBSTITUTE) | DATE Functions (MONTH, DAY, YEAR, HOUR, MINUTE, SECOND, DATEDIFF)
Data Analyst with AI – Session 31
13:10
Class 32 – DATE Functions (DATEDIFF Function with TODAY), WEEKDAY, WEEKNUM, NETWORKDAYS) | Nested DAX Functions (RIGHT, LEFT with SEARCH/ FIND, LEN Functions)
Data Analyst with AI – Session 32
12:06
Class 33 – Variables | Difference between VAR & Functions | LEN, FIND, Automating Left, Right, DAX Format
Data Analyst with AI – Session 33
01:14
Class 34 – Intro to BIT Concept | Logical Operators | Functions | Order of Operation (Lower & Upper Bound) | IF Functions | Nested IF | Multiple Conditions | Multiple Conditions & Multiple Logics | Uses of AND
Data Analyst with AI – Session 34
05:06
Class 35 – SWITCH Function | MID Function | Data Categorization | Hiding Foreign Keys
Data Analyst with AI – Session 35
01:28:04
Class 36 – PL-300 Question (Calculated Column VS Measures) | Aggregation Functions (Sum, Count ) | Measures | Relationships In Data Model | Implicit VS Explicit Measures | Filter Flow
Data Analyst with AI – Session 36
15:58
Class 37 – Measures: Implicit vs Explicit Measure | Aggregation Functions (SUM, COUNT, COUNTROWS, AVERAGE, DISTINCTCOUNT, DIVIDE, MAX, MIN)
Data Analyst with AI – Session 37
55:14
Class 38 – Measures: Calculate Function | Return Rate | Batching Similar Measures | Decision Making | Text Box (Comments) | Presenting Report | ALL Function | Contribution Analysis
Data Analyst with AI – Session 38
03:38
Class 39 – Measures: Table Function | Default Nature of Measures | Making Calculate Function Dynamic Through FILTER Function
Data Analyst with AI – Session 39
50:08
Class 40 – Measures: Introduction of Iterator Functions | Measures (SUMX, AVERAGEX, MINX, MAXX) | RELATED Function
Data Analyst with AI – Session 40
19:51
Class 41 – Measures: Time Intelligence Functions (Time Series Analysis & Categorical Analysis) | MoM | SamePeriodLastYear | DateAdd
Data Analyst with AI – Session 41
06:08
Class 42 – Measures: ToDate Analysis | DatesYTD | DatesMTD | Rolling Revenue | DATESINPERIOD
Data Analyst with AI – Session 42
13:09
Class 43 – Measures: Error Handling | ISBLANK | Moving Average
Data Analyst with AI – Session 43
08:42
Class 44 – Discussion (Dashboard | Images | Elements | Shapes | Color Palette | Formatting | UI UX | Card Visual | Corporate Standards)
Data Analyst with AI – Session 44
12:59
Class 45 – Dashboard: Line Chart (Trend Line | Reference Line: Comparison Analysis) | Bar Chart | Column Chart | Difference between Clustered and Stacked Charts)
Data Analyst with AI – Session 45
27:07
Class 46 – Dashboard: KPI Card | Donut Chart | Pie Chart