Data Analysis 2024

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.

Overview

Section 1: Introduction to Data Analytics

Lecture 1 Data Analytics For Beginners (Promo)

Lecture 2 What is Data?

Lecture 3 Download and Install 365

Section 2: Microsoft Excel Introduction

Lecture 4 Overview of Microsoft Excel

Lecture 5 Flash Fill & Text to Column

Section 3: Data Validation & Conditional Formatting

Lecture 6 Data Validation in Excel

Lecture 7 Conditional Formatting

Section 4: Sorting, Filter and Duplicate Data

Lecture 8 Sorting Up Data

Lecture 9 Filter the Data

Lecture 10 Remove Duplicate

Section 5: Null, Blank and White Space

Lecture 11 Working with Null

Lecture 12 Working with Space

Section 6: Learning Functions in Excel

Lecture 13 Text Function

Lecture 14 Logical Function

Lecture 15 Date & Time Function

Lecture 16 Numeric Function

Lecture 17 Maths + Logical Function

Lecture 18 What are Data Connectors

Section 7: Basics of Power Query Editor

Lecture 19 Overview of Power Query Editor

Lecture 20 Uploading Data with Folders

Section 8: Cleaning and Transforming Data

Lecture 21 Text Tools in Power Query Editor

Lecture 22 Cleaning Data in Power Query Editor

Section 9: Custom and Conditional Column

Lecture 23 Custom Column

Lecture 24 Conditional Column

Section 10: Data Modelling and Merging

Lecture 25 Merge Queries

Lecture 26 Data Modelling

Section 11: Data Modelling Relationship

Lecture 27 Creating Relationship

Lecture 28 Hierarchy in Modelling

Section 12: Pivot Table and Charts

Lecture 29 Pivot Table After Modelling

Lecture 30 Charts After Pivot Table

Lecture 31 Slicers and Timeline

Lecture 32 Bonus

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