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Overview
Welcome to Data-driven Decision Making.
By taking the Data-driven Decision Making course offered by Coursera in partnership with PwC, you'll learn why data is important and how it has evolved. You'll be introduced to “Big Data” and how it is used. You'll also be introduced to a framework for conducting Data Analysis and what tools and techniques are commonly used.
Finally, you'll have a chance to put your knowledge to work in a simulated business setting.
Build your subject-matter expertise
- This course is part of the Data Analysis and Presentation Skills: the PwC Approach Specialization
- When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Skills you'll gain
- Big Data
- Business Analysis
- Data Analysis
- Data Management
- Decision Making
- Data Visualization
- Critical Thinking
- Leadership and Management
Programme Structure
Courses include:
- Data Analytics
- Technology and types of data
- Data analysis techniques and tools
- Data-driven decision making project
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Marketing Data Science & Big Data View 460 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- No prior experience required
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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