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Udemy – Data Analysis 2024 by Being Commerce

      Author: Baturi   |   22 November 2024   |   comments: 0

Udemy – Data Analysis 2024 by Being Commerce
Free Download Udemy – Data Analysis 2024 by Being Commerce
Published 11/2024
Created by Being Commerce,Being Commerce
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 Lectures ( 5h 51m ) | Size: 3.35 GB


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
Requirements
No prior experience in data analytics needed
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
Homepage
https://www.udemy.com/course/data-analysis-2024/




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