Excel for Data Analysts Students & Professionals

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Free Download Excel for Data Analysts Students & Professionals
Published 6/2024
Created by Taesun Yoo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 120 Lectures ( 13h 10m ) | Size: 6.78 GB

The Ultimate Guide to Master Excel for Data Analysis by Solving Real-World Business Problems
What you'll learn:
Basic navigation in Excel, including menus, worksheets, tabs, and data selection.
Tips and tricks for efficient Excel use, such as shortcut keys and formatting techniques.
Advanced data cleaning techniques like removing duplicates, empty rows, and text cleaning functions.
Logical operations and conditional data handling using formulas like IF, AND, OR, and SUMIF.
Advanced problem-solving with lookup functions (VLOOKUP, HLOOKUP, INDEX, MATCH) and statistical analysis
Mastering Pivot Tables for data organization, filtering, sorting, and KPI calculation
Principles of data visualization, creating effective charts, and building comprehensive dashboards
Utilizing Power Query for importing, merging, and cleaning data, and Power Pivot for advanced data modeling
Completing a capstone project involving a comprehensive data analysis from raw data to a finalized dashboard presentation
Requirements:
Operating Systems: 64-bit versions of Microsoft Windows 7, 8.1, and 10 or Mac.
MS Office Excel
No prior experience in other tools like R or Python, though fundamental knowledge of data structure concepts will be beneficial
Description:
Are you interested in becoming a Data Analyst? Do you want to gain practical skills and solve real-world business problems using Excel? Then this is the perfect course for you! Created by a Senior Data Analyst with extensive experience in the Insurance and Health Care sectors, this course will equip you with foundational knowledge and help you master key Excel functions and techniques for data analysis.I will guide you step-by-step into the world of Excel for data analysis. With every lecture and lab exercise, you will develop a comprehensive understanding of these concepts to tackle real data problems! This course is designed to be engaging and practical, with a logical flow through essential modules:Module 1 - Introduction to Excel for Data Analysis: Learn basic navigation, Excel menu, worksheets, tabs, and essential tips and tricks for efficient use.Module 2 - Data Cleaning Techniques: Master advanced data cleaning techniques including manual data entry, formatting cells, removing duplicates, and text cleaning functions.Module 3 - Logical Functions and Data Manipulation: Utilize basic and advanced formulas, logical operations, conditional calculations, and cell referencing.Module 4 - Advanced Functions and Formulas: Implement advanced formulas and functions such as VLOOKUP, HLOOKUP, INDEX, MATCH, and perform statistical analysis with Excel Add-Ins.Module 5 - Mastering Pivot Tables and Data Summarization: Create and manipulate Pivot Tables, filter and sort data, calculate KPIs, and create Pivot Charts.Module 6 - Data Visualization and Dashboarding: Learn principles of data visualization, build effective charts, wireframe dashboards, and create comprehensive visual presentations.Module 7 - Power Query and Power Pivot: Work with external data using Power Query, perform data merging, cleaning, and advanced data modeling with Power Pivot.Module 8 - Capstone Project: Apply all skills in a practical, real-world scenario by developing a comprehensive data analysis project from raw data to a finalized dashboard presentation.Each module contains independent content, allowing you to start from the beginning or jump into specific topics of interest. However, it is recommended to follow the course from Module 1 to Module 7 to fully prepare for the capstone project challenge.This course is packed with real-world business problems solved during my career as a senior data analyst. You will not only learn theoretical concepts but also gain practical, hands-on experience. Enroll today and take the first step towards mastering data analysis using Excel.
Who this course is for:
Individuals with no prior experience in data analysis tools
New graduates considering a data analytics career.
Career switchers aiming to become data analysts or upgrade their skills in Excel spreadsheets
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