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Microsoft Excel for Data Analytics

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Damilare Abolaji

6:55:59

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  • 1. Introduction.mp4
    00:39
  • 2. Introduction to Spreadsheets.mp4
    18:34
  • 3. Navigating Workbooks.mp4
    04:54
  • 4. Templates! Templates!! Templates!!!.mp4
    06:06
  • 5. Tabs, Ribbons, Groups.mp4
    04:17
  • 6. Cells, Rows, Columns & Ranges.mp4
    06:25
  • 7. Imputing and Formatting Data.mp4
    19:09
  • 8. Basic Excel Formulas.mp4
    05:56
  • 1. Relative and Absolute References.mp4
    13:48
  • 2. Structure of an Excel Function.mp4
    03:20
  • 3. SUM().mp4
    07:56
  • 4. MIN() & MAX().mp4
    04:23
  • 5. AVERAGE().mp4
    01:57
  • 6. COUNT().mp4
    02:36
  • 7. Adjacent Cell Errors.mp4
    03:19
  • 8. Autosum.mp4
    06:11
  • 1. Applying simple formats.mp4
    06:45
  • 2. Conditional formatting.mp4
    09:09
  • 3. Named Ranges and Tables.mp4
    14:58
  • 1.1 TheIFFunctionstoresalesdataraw-230126-092418.xlsx
  • 1. IF().mp4
    13:57
  • 2. Nested-IF().mp4
    11:40
  • 3.1 TheIFFunctionstoresalesdataraw-230126-092418.xlsx
  • 3. IFS().mp4
    06:39
  • 4.1 count ifraw-230126-092908.xlsx
  • 4. COUNTIF().mp4
    08:16
  • 5.1 storesalesdataraw-230126-095106.xlsx
  • 5.2 sumifraw-230126-092859.xlsx
  • 5. SUMIF().mp4
    08:45
  • 6.1 iferrorraw-230126-092734.xlsx
  • 6. IFERROR().mp4
    04:19
  • 7.1 vlookupraw1-230126-094953.xlsx
  • 7. VLOOKUP().mp4
    12:42
  • 8.1 HLOOKUPraw-230126-094944.xlsx
  • 8. HLOOKUP().mp4
    07:59
  • 9.1 storesalesdataraw-230126-094936.xlsx
  • 9. Assignment 1.mp4
    00:31
  • 10. INDEX().mp4
    06:22
  • 11. MATCH().mp4
    03:41
  • 12.1 indexmatchraw1-230126-094926.xlsx
  • 12. INDEX()-MATCH().mp4
    20:00
  • 13. Assignment 1.html
  • 14. Assignment 2.mp4
    00:39
  • 1. Basic Excel Charts.mp4
    20:12
  • 2.1 pivottableraw-230126-093345.xlsx
  • 2. Pivot Tables.mp4
    13:31
  • 3. Grouping Pivot Tables.mp4
    07:15
  • 4. Calculated Fields in Pivot Tables.mp4
    04:36
  • 5. Filtering Pivot Table Data.mp4
    03:39
  • 1. Pivot Charts.mp4
    08:08
  • 2. Slicers.mp4
    03:19
  • 3. Dashboards (Part 1).mp4
    19:01
  • 4. Dashboards (Part 2).mp4
    10:07
  • 1.1 powerpivotraw-230126-093812.xlsx
  • 1. Power Pivot.mp4
    06:14
  • 2. Activating Power Pivot Add-in.mp4
    02:03
  • 3. Data Models.mp4
    10:01
  • 4. Creating Pivot Tables from Data Models.mp4
    05:12
  • 1.1 scenarioraw-230126-094122.xlsx
  • 1. Goal Seek tool.mp4
    08:36
  • 2. Solver tool.mp4
    11:08
  • 3. Data tool.mp4
    02:38
  • 4. Scenario Manager.mp4
    07:24
  • 1.1 datacleaningraw-230126-094302.xlsx
  • 1. Data Cleaning in Excel.mp4
    09:39
  • 2. The Query Editor.mp4
    15:51
  • 1.1 capstone-230126-094450.pdf
  • 1.2 TNMTRetailsalesdocforCapstoneProject-230126-094456.xlsx
  • 1. Capstone Project.mp4
    01:33
  • Description


    Boost Your Career with In-Depth Spreadsheet Skills

    What You'll Learn?


    • By the end of this course, students will be able to proficiently use Excel functions and formulas to manipulate and transform raw data, including tasks such as
    • Students will develop the ability to perform complex data analysis tasks using advanced Excel features. This includes creating pivot tables, employing data vali
    • Upon completion of this course, participants will be able to design and generate compelling data visualizations, such as charts and graphs, to effectively commu
    • Learners will acquire skills in data cleaning and quality assurance by identifying and rectifying errors, handling missing data, and applying data validation te

    Who is this for?


  • Beginner Data Analyst seeking to develop their skill in Microsoft Excel.
  • What You Need to Know?


  • Absolutely no prior experience is required. Rest assured that you will gain comprehensive knowledge, covering everything you need to know throughout the course.
  • More details


    Description

    Dive into the world of data analytics with the ultimate Excel mastery course! Unleash the full potential of Microsoft Excel as you embark on a journey from spreadsheet basics to becoming a data analytics pro.

    What You'll Learn:

    • Data Manipulation Magic: Harness the power of Excel functions to effortlessly sort, filter, and analyze your data

    • Insights at Your Fingertips: Master advanced data analysis techniques using pivot tables, Power Query, and Power Pivot

    • Visual Storytelling: Transform raw data into compelling visualizations with charts and graphs that speak volumes

    • Data Cleaning Demystified: Tackle data imperfections with confidence, ensuring accuracy and reliability

    • Real-world Applications: Apply your skills to real-world scenarios, making Excel your trusted ally in business decision-making


    Who Is This Course For?

    • Professionals seeking to enhance their data analysis capabilities

    • Business analysts, marketers, and decision-makers looking to leverage data for strategic insights

    • Excel enthusiasts eager to unlock its full potential for analytics


    Why Excel for Data Analytics?

    • Universal Tool: Excel is the industry-standard spreadsheet software used by professionals worldwide

    • Accessible Learning: No prior analytics experience required - this course is your entry point to the exciting world of data insights

    • Career Boost: Elevate your professional profile by adding valuable data analytics skills to your toolkit


    Why Enroll Now?

    Seize the opportunity to master Excel for data analytics in a dynamic and engaging learning environment. Whether you're a beginner or have some Excel experience, this course will equip you with the skills needed to confidently navigate the data-driven landscape.

    Join us and empower yourself with Microsoft Excel for Data Analytics – because data is not just information; it's your competitive advantage!

    Enroll today and chart your course to becoming a data analytics maestro with Microsoft Excel!

    Who this course is for:

    • Beginner Data Analyst seeking to develop their skill in Microsoft Excel.

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    Damilare Abolaji
    Damilare Abolaji
    Instructor's Courses
    Senior Business Intelligence Developer with a proven track record of leveraging data analytics and strategic insights to drive business growth. Strong expertise in data modeling, visualization, and reporting, with a deep understanding of advanced analytics and data governance. Recognized for exceptional communication skills and ability to present complex data in a concise and meaningful manner.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 52
    • duration 6:55:59
    • Release Date 2024/01/02