Data Science for Business Part 1

Your Data Science Journey Starts Now! Learn the fundamentals of data science for business with the tidyverse.

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Advance Your Career with Data Science

Accelerate your career by learning data science, the most in-demand skill of this century!

Taking the Business Analysis With R course is the equivalent of:

50+ tool-based courses

2 end-to-end projects

2 frameworks

1 foundational data science education

1 clear-cut path to learning data science in 7 weeks that would otherwise take 1 year+ to learn

Everything You Need to Become the Data Scientist Level 1 for Your Organization

407 Lessons, 33.9 Hours of Video, and 4 Challenges to Test Your Skills

This course is designed for...

  • Business Analysts that want to advance your career with Data Science
  • Microsoft Excel Users that are ready to go beyond Excel to a more powerful, data-specific programming language

Example of what you create in the course

Customer Segmentation Report (created in Week 7: Communication)

Machine Learning Foundations

We've streamlined machine learning into 5 hours of video, 44 lessons that you will learn in Week 6 covering all of the major algorithms including:

  • Linear Regression
  • Generalized Linear Models (GLM)
  • Decision Trees
  • Random Forest
  • XGBoost
  • Bonus - Support Vector Machines

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Learning data science used to be difficult

So you're a business professional that wants to accelerate your career by learning data science.

This is an excellent decision! Until you try to figure out where to start.

The prospect of learning data science seems daunting. There are an endless series of decisions that need to be made.

"Which language is right for me?"

"What libraries should I use?"

"How much time will this take me?"

"What results will I get?"


We've been there, which is why we've created Business Analysis With R for you.

Taking the guess-work out of learning data science

Business Analysis With R is a revolutionary program that takes the guess-work out of learning data science.

We provide you:

  • A complete learning path with R: R is the perfect data science language to learn if transitioning from Microsoft Excel. R is functional, which is very similar to Excel.
  • A cohesive tool chain: You use a common programming API called the tidyverse that simplifies the process of importing, joining, cleaning, wrangling, visualizing, modeling, and communicating data & results.
  • Comprehensive resources: You are provided cheat sheets, code templates, and resources that speed up learning and make referring back to materials simple.
  • A 7-week system that packs in a year of knowledge: It normally takes a year or more to learn the tool chain. You learn everything in 7 weeks w/ 5-10 hours per week of coursework.
  • Full life-time access: Once you purchase the course, you gain life-time access to content now and any updates in the future.

We accelerate your learning through a methodical approach combining tools, resources, & projects.

Tools you will learn

You will learn an amazing tool chain called the tidyverse that makes performing data analysis fast and efficient. You'll learn how to use each one of the R packages, enabling you to perform the entire data analysis workflow including:

  • Data import
  • Joining Data
  • Data Cleaning
  • Data Manipulation
  • Visualization
  • Modeling
  • Reporting

Resources you will get

The Business Analysis with R course comes packed with resources, tools, frameworks, and templates. Too many to go over. To talk numbers, you get:

  • 100+ Code Lectures
  • 15+ Hours of recorded content
  • 10+ Cheatsheets & Walkthroughs
  • 20+ Downloadable code templates
  • 2 Projects
  • and more!

Projects you will complete

The Business Analysis With R Course incorporates two projects as a guide for our learning:

  1. R&D Project - Goal: Utilize data to assist the Research & Development department in coming up with a new product idea and a targeted price point
  2. Marketing Project - Goal: Use data mining techniques to segment the customer base empowering the Marketing department to implement targeted emails to customers in turn increasing engagement

In week 7, you will create two reproducible business reports containing the results of the analysis.

Challenges you will conquer

The Business Analysis with R Course includes a number of challenges where you will apply what you've learned. Shown is the Week 6 Challenge that extends the Customer Segmentation to a real-world challenges where you will segment Companies by their stock price movements.

Summary of what you get

  • A methodical training plan that encapsulates 1+ years of knowledge into an accelerated 7 week training - compared to on premise workshop ($5000 value)
  • Hundreds of resources ($1000 value):
    • 10+ Cheatsheets with Walkthroughs
    • 20+ Downloadable Code Templates
    • 2 Business Projects
    • 4+ Challenges

Adding it up: $6000 value

Purchase today for: 👇

*Price excludes local taxes & VAT

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Your Instructor

Matt Dancho
Matt Dancho

Founder of Business Science and general business & finance guru, He has worked with many clients from Fortune 500 to high-octane startups! Matt loves educating data scientists on how to apply powerful tools within their organization to yield ROI. Matt doesn't rest until he gets results (literally, he doesn't sleep so don't be suprised if he responds to your email at 4AM)!

Course Curriculum

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  Getting Help
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  Module 1: Jump Start
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  1.1 Goal: Better Serving Customers With Data
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  1.5 Sales Analysis - Diving In!
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  Module 2: Import & Data Wrangling Foundations (Level 1)
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  Important Concepts Before Diving In
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  2.2 Wrangling Data (Cleaning, Preparing, & Manipulating Data): dplyr & tidyr
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  2.2.1 Using The ULTIMATE R Cheatsheet For Data Wrangling
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  Module 3: Data Wrangling Foundations (Level 2)
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  Module 5: Functional Programming & Iteration with purrr
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  5.1 Functional Programming
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  6.1 Customer Segmentation with K-Means Clustering & UMAP
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  Module 6 - Challenge 2: Predicting New Bike Model
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  6.2.6 Modeling Recap
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  6.2.8 BONUS - Saving & Loading Models
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  Module 7: Communication
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  7.2 Building Interactive Plots with Plotly
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Frequently Asked Questions

When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

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