The Complete Data Analytics Course in Excel

109.00

Title: The Complete Data Analytics Course in Excel

Course Description:

Welcome to “The Complete Data Analytics Course in Excel” – a comprehensive program designed to equip professionals, analysts, and enthusiasts with the skills to perform robust data analytics using Microsoft Excel. Whether you’re a beginner or looking to enhance your Excel analytics capabilities, this course guides you through the entire data analysis process, from data preparation to advanced analytical techniques.

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Description

Module 1: Introduction to Data Analytics in Excel (Week 1-2)

Start your journey with an introduction to data analytics and understand the role of Excel in the analytical process. Familiarize yourself with Excel’s interface and key functionalities for data manipulation.

Module 2: Data Importing and Cleaning (Weeks 3-4)

Explore techniques for importing and cleaning data in Excel. Learn to handle missing values, duplicates, and ensure your dataset is ready for in-depth analysis.

Module 3: Excel Formulas and Functions for Analytics (Weeks 5-6)

Master essential Excel formulas and functions for data analytics. Dive into statistical, mathematical, and logical functions to perform calculations and derive meaningful insights.

Module 4: Exploratory Data Analysis in Excel (Weeks 7-8)

Delve into exploratory data analysis techniques using Excel. Learn how to generate summary statistics, create histograms, and explore data distributions.

Module 5: PivotTables and PivotCharts (Weeks 9-10)

Unlock the power of PivotTables and PivotCharts for dynamic data summarization and visualization. Understand how to organize and analyze large datasets efficiently.

Module 6: Advanced Data Analysis Tools in Excel (Weeks 11-12)

Explore advanced data analysis tools such as Goal Seek, Solver, and Scenario Manager in Excel. Learn how to solve complex problems and make data-driven decisions.

Module 7: Statistical Analysis in Excel (Weeks 13-14)

Master statistical analysis using Excel. Explore descriptive and inferential statistics, correlation, regression, and hypothesis testing for robust data interpretation.

Module 8: Data Visualization Techniques in Excel (Weeks 15-16)

Learn to create compelling data visualizations in Excel. Explore chart types, design principles, and techniques for presenting data insights visually.

Module 9: Dashboard Creation in Excel (Weeks 17-18)

Master the art of building interactive dashboards in Excel. Learn to design visually appealing and user-friendly dashboards that convey complex information effectively.

Module 10: Power Query and Power Pivot for Advanced Analytics (Weeks 19-20)

Introduce yourself to Power Query and Power Pivot in Excel. Understand how to shape and model data for more sophisticated analysis and reporting.

Module 11: Time Series Analysis in Excel (Weeks 21-22)

Dive into time series analysis techniques using Excel. Learn to analyze temporal data, identify trends, and make informed decisions based on historical patterns.

Module 12: Real-world Applications and Case Studies (Weeks 23-25)

Apply your Excel analytics skills to real-world scenarios. Explore case studies across various industries, gaining practical experience in solving complex business problems.

Module 13: Ethical Considerations in Data Analytics (Weeks 26-27)

Understand the ethical considerations of data analytics. Explore privacy issues, responsible data use, and ethical decision-making in the realm of data analytics.

Module 14: Capstone Project and Certification (Weeks 28-30)

Cap off the course by working on a comprehensive capstone project that integrates all the skills acquired throughout the course. Receive personalized feedback and earn a certification validating your proficiency in Data Analytics using Excel.

Enroll now in “The Complete Data Analytics Course in Excel” and unlock the full potential of Microsoft Excel as a powerful tool for data analysis, visualization, and decision-making. Elevate your analytics skills and make an impact in the data-driven landscape!

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