Getting Digital

Functions, Data Analysis, Presentation and Finance w/ Excel

Develop essential data science & ai skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of data science & ai
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of data science & ai
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in data science & ai
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

This course teaches Microsoft Excel, Power Pivot and Power BI. It starts from the beginning and goes all the way through to (and including) VBA. Excel is an extremely powerful tool, one which we will see can be used to understand, analyze, and present data.

It can be used to build financial models, do data analysis via data science, and much more. It is an all-encompassing tool that blends analysis with presentation (using pivot tables and the data model). We will go through buttons, charts, data validation and conditional formatting, as well as all the regular functions.

We cover every tool in Excel, starting from the basics, and review each many times. The general structure of the course includes many practice examples that allow a student to either follow along with a PDF or to follow along with a video. The concepts are put together to show full ideas, giving students the chance to integrate various different meta-analysis tools to build models and explore data.

It is based on a well-worn approach of practice, practice, and more practice. Each section has videos and written instructions to hone students' skills. The beginning of the course includes about twelve different "homework" sections, then the course goes on to a college level instruction, followed by two sections that give consolidated practice via "worksheets" and "a lesson a day" type structure.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Data Science & AI

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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