• No products in the cart.

Ansari Danish.aa

Advance Excel

Original price was: ₹1,999.00.Current price is: ₹999.00.
Rating

Students

8270

Duration

Unlimited Duration

Lectures

26

Videos

4 hours, 14 minutes

Updated

December 11, 2025

blank

Profile Photo
Ansari Danish.aa
0
1

Courses

8270

Students

Archives

    Categories

    • No categories

    Meta

      • Navigating Worksheets and Workbooks 00:06:00
      • This topic focuses on efficiently moving through Excel’s interface to manage complex datasets across
      • Cell Referencing: Relative, Absolute, and Mixed References 00:06:00
      • This topic explains how Excel interprets cell locations within formulas and how different reference types
      • Basic Operators: +, -, , /, ^ 00:10:00
      • This section introduces mathematical operators used to perform calculations within Excel formulas.
      • Common Functions: SUM, AVERAGE, COUNT, MAX, MIN 00:12:00
      • This topic provides an in-depth understanding of essential Excel functions used for data analysis.
      • CONCATENATE, LEFT, RIGHT, MID, FIND, REPLACE 00:16:00
      • This module covers essential text-manipulation functions used to extract, combine, and modify string data
      • Text Formatting and Data Cleaning 00:11:00
      • This topic introduces best practices for preparing raw data for analysis
      • IF, AND, OR, NOT, IFERROR, IFS 00:15:00
      • This module focuses on logical functions that enable decision-making within formulas. Learners explore IF for conditional outputs
      • Conditional Formatting 00:09:00
      • This topic covers the creation of visual rules that highlight data patterns, trends, and exceptions.
      • DATE, TIME, NOW, TODAY, DATEDIF 00:11:00
      • This module explains Excel’s date and time functions used to calculate, track, and analyze temporal data.
      • Calculating Durations and Deadlines 00:08:00
      • This topic focuses on building formulas that compute time gaps, deadlines, project durations, and expected completion dates.
      • VLOOKUP, HLOOKUP, INDEX, MATCH 00:14:00
      • This module covers the core lookup functions used to retrieve data from structured tables.
      • XLOOKUP 00:08:00
      • This topic introduces Excel’s modern, more powerful lookup function—XLOOKUP.
      • Creating Lookup Tables 00:09:00
      • This section focuses on building structured reference tables that support accurate and efficient lookups
      • STDEV, VAR, AVERAGEIF, SUMIF 00:10:00
      • his module introduces statistical and conditional functions essential for analytical work.
      • Data Analysis and Interpretation 00:02:00
      • This topic covers the structured approach to analyzing datasets and translating results into meaningful insights.
      • PMT, IPMT, PPMT, NPV, IRR 00:18:00
      • This section focuses on Excel’s financial functions used for evaluating loans, investments, and cash-flow projections.
      • Choosing the Right Chart Type 00:08:00
      • This module guides learners in selecting the most appropriate chart type based on the nature of their
      • Formatting and Customizing Charts 00:10:00
      • This topic focuses on improving chart readability and presentation quality through formatting techniques.
      • Adding Data Labels and Legends 00:08:00
      • This section teaches how to enhance chart interpretation by adding meaningful data labels, titles,
      • Summarizing and Analyzing Large Datasets 00:11:00
      • This module addresses methods for extracting insights from large volumes of data. Learners understand
      • Filtering and Grouping Data 00:09:00
      • This topic introduces techniques for refining and structuring datasets for deeper analysis.
      • Creating Pivot Charts 00:08:00
      • This module demonstrates how to create interactive, data-driven visualizations using Pivot Charts.
      • Creating and Using Array Formulas 00:10:00
      • This module introduces learners to array formulas, which allow Excel to perform multiple
      • Advanced Data Analysis Techniques 00:12:00
      • This topic focuses on higher-level analytical methods for extracting
      • Restricting Data Entry with Data Validation 00:06:00
      • This module covers the use of Data Validation to control and regulate
      • Creating Drop-Down Lists 00:07:00
      • This section explains how to create dynamic and static drop-down lists using Data Validation.