Excel for Data Analysis ( Beginner)

Excel for Data Analysis ( Beginner), available at $19.99, with 10 lectures.

You will learn about People wanting to improve their skills in Data Analytics Learn data analysis with Excel Improve efficiency with Excel Grow in Current role This course is ideal for individuals who are Beginners in Excel It is particularly useful for Beginners in Excel.

Enroll now: Excel for Data Analysis ( Beginner)

Summary

Title: Excel for Data Analysis ( Beginner)

Price: $19.99

Number of Lectures: 10

Number of Published Lectures: 10

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

People wanting to improve their skills in Data Analytics
Learn data analysis with Excel
Improve efficiency with Excel
Grow in Current role

Who Should Attend

Beginners in Excel

Target Audiences

Beginners in Excel

Data analytics in Excel is a powerful skill that empowers users to derive meaningful insights from their data. One fundamental aspect is understanding Excel functions like VLOOKUP, HLOOKUP, and INDEX-MATCH, which help in retrieving specific information from large datasets. PivotTables are another crucial tool, allowing users to summarize and analyze data dynamically.

Furthermore, mastering Excel’s conditional formatting enables effective visualization of trends and outliers, making it easier to interpret data at a glance. Utilizing charts and graphs, such as bar charts, line graphs, and pie charts, enhances data representation and aids in presenting findings to a broader audience.

In addition, proficiency in data cleansing is essential. Excel offers various functions for cleaning and transforming data, such as TRIM, CLEAN, and CONCATENATE. Understanding how to handle missing or erroneous data ensures accurate and reliable analysis.

Advanced techniques involve creating custom formulas using functions like IF, SUMIFS, and COUNTIFS to perform complex calculations based on specific criteria. Macros, though more advanced, automate repetitive tasks, boosting efficiency in handling large datasets.

Regularly practicing these skills through real-world examples and datasets not only solidifies understanding but also prepares individuals for more sophisticated data analytics tools and techniques beyond Excel. Constantly staying updated on Excel’s new features ensures continuous improvement in data analytics proficiency.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Pivot Tables

Lecture 2: Date Format

Lecture 3: Navigating Table

Lecture 4: Power Query

Lecture 5: Heat Map

Lecture 6: Duplicates

Lecture 7: Text

Lecture 8: Text 2

Lecture 9: Blanks

Lecture 10: Macros

Instructors

Emmanuel Mohanlall
Data Scientist

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 0 votes
5 stars: 0 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu