Intermediate

Data Science and Machine Learning using Excel

Data Analytics and Machine Learning using Excel" is a comprehensive course designed to equip learners with the skills to analyze and interpret data effectively using the power of Excel. Through this course, you will learn how to use Excel for data cleaning, visualization, statistical analysis, and applying basic machine learning techniques. This course simplifies complex concepts and provides hands-on experience to turn data into actionable insights.
$ 59.99
4
40,000
Students
20 Hours
9 Modules

What You'll Learn

Interactive Lessons: The course includes interactive lessons with step-by-step instructions in Guided Simulation.
Practical Exercises: Hands-on exercises to practice and reinforce learning.
Quizzes and Assessments: Periodic quizzes and assessments to test your understanding and track your progress.
Support and Community: Support from instructors and a community of learners for collaboration and assistance.

Tools & Skills Covered

Advanced Excel functionalities for data analysis.
Data visualization and dashboard creation in Excel.
Statistical analysis techniques using Excel.
Predictive modeling with basic machine learning tools in Excel.
Excel-based automation for data workflows.
$ 59.99
Valid for One Year
Students Enrolled:
40,000
Duration:
20 Hours
Level:
Intermediate
Modules:
9 Modules
Sub Modules:
36 Sub Modules
Certificate:
Included

Course Curriculum

9 Modules
|
36 Sub Modules
|
20 Hours
1

Advance functions in Excel

2

Introduction To Statistics

3

Text, Time & Date Format

4

What is data analytics?

5

Simple Linear Regression

Certify Your Skills

Upon completing this course, you will get a certification from keySkillset. You can flaunt your skills with this
certificate by adding it to your resume, LinkedIn profile, or portfolio.

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Frequently Asked Questions

Can Excel be used for data analytics?

What Excel functions are used in data analytics?

How long does it take to learn Excel for data analytics?

What is data analytics?

What is the difference between data analytics and data science?