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Data Analysis 2024

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Being Commerce

5:51:12

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  • 1 -Data Analytics For Beginners (Promo).mp4
    01:46
  • 2 -What is Data.mp4
    22:48
  • 3 -Download and Install 365.mp4
    11:53
  • 1 -Overview of Microsoft Excel.mp4
    11:51
  • 2 -Flash Fill & Text to Column.mp4
    12:11
  • 1 -Data Validation in Excel.mp4
    09:58
  • 2 -Conditional Formatting.mp4
    10:35
  • 1 -Sorting Up Data.mp4
    08:24
  • 2 -Filter the Data.mp4
    05:05
  • 3 -Remove Duplicate.mp4
    04:58
  • 1 -Working with Null.mp4
    14:27
  • 2 -Working with Space.mp4
    08:49
  • 1 -Text Function.mp4
    16:21
  • 2 -Logical Function.mp4
    23:55
  • 3 -Date & Time Function.mp4
    11:57
  • 4 -Numeric Function.mp4
    11:42
  • 5 -Maths + Logical Function.mp4
    11:33
  • 6 -What are Data Connectors.mp4
    03:38
  • 1 -Overview of Power Query Editor.mp4
    19:52
  • 2 -Uploading Data with Folders.mp4
    08:42
  • 1 -Text Tools in Power Query Editor.mp4
    09:56
  • 2 -Cleaning Data in Power Query Editor.mp4
    11:19
  • 1 -Custom Column.mp4
    07:12
  • 2 -Conditional Column.mp4
    04:18
  • 1 -Merge Queries.mp4
    14:38
  • 2 -Data Modelling.mp4
    21:55
  • 1 -Creating Relationship.mp4
    09:54
  • 2 -Hierarchy in Modelling.mp4
    03:36
  • 1 -Pivot Table After Modelling.mp4
    11:33
  • 2 -Charts After Pivot Table.mp4
    13:10
  • 3 -Slicers and Timeline.mp4
    10:47
  • 4 -Bonus.mp4
    02:29
  • 4 -bonus.pdf
  • Description


    A Beginner’s Guide to Data Analysis with Microsoft Excel! Create Excel charts, Excel dashboard, etc

    What You'll Learn?


    • Basics of data analysis and its real-world importance
    • Navigating Microsoft Excel and its key functionalities
    • Data validation and conditional formatting in Excel
    • Sorting, filtering, and removing duplicate data
    • Handling null, blank, and white space in datasets
    • Applying text, logical, date, and numeric functions in Excel
    • Introduction to Power Query Editor for advanced data operations
    • Cleaning and transforming data using Power Query Editor tools
    • Creating custom and conditional columns
    • Merging queries and data modeling techniques
    • Establishing data relationships and hierarchy structures
    • Building pivot tables and charts for data presentation

    Who is this for?


  • Complete beginners interested in data analytics
  • Professionals wanting to add data skills to their resume
  • Students preparing for data-related projects or roles
  • Small business owners aiming to understand their data better
  • Individuals seeking a career change into data analysis
  • Anyone wanting to enhance their Excel skills for data-driven tasks
  • What You Need to Know?


  • No prior experience in data analytics needed
  • More details


    Description

    Data analytics is no longer a skill reserved for tech experts; it’s a necessity for anyone aiming to make data-driven decisions in today’s digital age. Imagine having the ability to transform complex data into clear insights that guide smarter strategies, streamline processes, and boost productivity. Whether you're starting your career, aiming to upskill, or simply curious about harnessing data, this course is designed for you. "Data Analytics For Beginners" bridges the gap between confusion and clarity, guiding you step-by-step through the essentials of understanding, analyzing, and visualizing data effectively.

    This course takes you from the very basics, ensuring no prior experience is needed, to mastering essential tools like Microsoft Excel and Power Query Editor. You will learn how to structure, clean, and model data with confidence. Each lecture is structured for maximum learning impact, featuring clear examples and practical exercises that solidify your knowledge.

    Fear missing out on one of the most in-demand skills of our time? Without a solid grasp of data analytics, you could miss opportunities in your career, fall behind peers, and struggle to make sense of the vast amounts of data used in all industries today. But with this course, you’ll not only understand data but leverage it as your secret weapon in the workplace or your business.

    Data analytics is also about storytelling. Beyond numbers and tables, it’s about drawing meaningful insights and creating visual representations that communicate your points clearly. From sorting data and managing duplicates to building dynamic charts and pivot tables, this course ensures you’ll walk away with practical skills that are immediately applicable.

    This isn’t just theory; it’s about preparing you for real-world challenges. By the end of the course, you’ll be well-versed in data cleaning, validation, visualization, and analysis. You’ll move from basic sorting and filtering to advanced data modeling and constructing insightful dashboards that make your work shine. Equip yourself with a toolkit that employers are actively looking for and that will empower you to make smarter, data-backed decisions in any project or role.

    Don't let the opportunity pass you by to become someone who’s not just working with data but thriving with it. Sign up now and take your first step into the world of data analytics, confidently and equipped with the skills to succeed.

    Who this course is for:

    • Complete beginners interested in data analytics
    • Professionals wanting to add data skills to their resume
    • Students preparing for data-related projects or roles
    • Small business owners aiming to understand their data better
    • Individuals seeking a career change into data analysis
    • Anyone wanting to enhance their Excel skills for data-driven tasks

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    Category
    Being Commerce
    Being Commerce
    Instructor's Courses
    This is the official channel of being commerce. In Udemy we provide all the valuable content that helps our students to be financially free.In our Udemy courses, we will provide students with all digital marketing courses, Operating systems and money-making courses that will help them to grow their business with 24/7 support as well.
    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 32
    • duration 5:51:12
    • Release Date 2025/02/24