Data Analytics Foundations
A Beginner’s Guide
Learn to harness the power of data analytics and understand just how much being data-led can benefit your career and your business.
This course will help you discover how vital data analytics is to any organization. You will identify the key components of the data analytics ecosystem including the different types of data analytics: descriptive, diagnostic, predictive, and prescriptive. You’ll also learn about the different data skill sets and data hires that are needed according to an organization’s size, goals, and data maturity.
No matter your level of technical expertise, you will come away from this course equipped with a step-by-step process of how to create your own data analytics and business strategy.
Learn from data
Identify key components of the data analytics ecosystem and understand how data connects - well, everything.
Plan with data
Effectively diagnose the pits and peaks of your workflows, and how to optimize them through data.
Thrive through data
Come away equipped with a step-by-step process of how to create and apply a data-driven business strategy.
What you'll learn
- By the end of the course, you will be able to…
- Make data work for you. Understand the challenges and opportunities of an effective data analytics ecosystem in businesses of all sizes.
- Become data literate. Identify the purpose and value of the different types of data analytics, including their principles, benefits and challenges.
- Gain a competitive edge. Identify the factors involved in evaluating data analytics projects, and learn how to use data to gain competitive advantage.
- Expert knowledge
- Interviews with world-renowned data experts help you understand how to use data analytics to make decisions and improve your business. Digest relevant statistics and facts that widen your understanding of the topic and industry.
- Hollywood storytelling
- Helios used to be the market leader in bikes, but for some reason the wheels aren’t turning quite like they used to. Join COO Caroline and data consultant Joel as they lead the company through a data transformation, bringing an outdated business model up to speed. Sit in on strategy meetings as the team overcome challenges and make choices that will determine the company’s fate.
- Visual learning
- A visual step-by-step approach walks you through the entire process of becoming data-led. Beautiful infographics and engaging gifs explain the most complicated data analytics topics and theories, guiding you through the learning journey.
- Created by BoxPlay, an Emmy award-winning company on a mission to democratize career success.
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 3 weeks |
Effort | 3 weeks, 2–3 hours per week |
Starts | On Demand (Start anytime) |
Cost | $315 |
From | BoxPlay via edX |
Instructors | Alasdair Munn, Max Greene, Amir Shadmand |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science |
Tags | Data Analysis & Statistics |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Data Analytics (Statistics) $47k
Advanced Analytics Data Specialist $60k
Data Analytics Instructor $70k
IT Data Analytics Analyst $74k
Big Data Analytics Developer - IoT Analytics $80k
Analyst - Data & Analytics $89k
Data Analytics Developer $99k
Analytics Data Architect $106k
Data Scientist, Risk Analytics $109k
Associate Senior Data Analytics $122k
Head of Data Analytics $129k
Data Scientist (Data Analytics group) $138k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 3 weeks |
Effort | 3 weeks, 2–3 hours per week |
Starts | On Demand (Start anytime) |
Cost | $315 |
From | BoxPlay via edX |
Instructors | Alasdair Munn, Max Greene, Amir Shadmand |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science |
Tags | Data Analysis & Statistics |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course