4.2 Read 91 reviews
Overview
We'll explore how a combination of better understanding, filtering, and application of data can help you solve problems faster - leading to smarter and more effective decision-making. You’ll learn how to use Microsoft Excel, PowerPoint, and other common data analysis and communication tools, and perhaps most importantly, we'll help you to present data to others in a way that gets them engaged in your story and motivated to act.
Applied Learning Project
- This Data Analysis and Presentation Skills - the PwC Approach Specialization offered by Coursera in partnership with PwC will include a project at the end of each module and a capstone project at the end of the specialization. Each project will provide you the chance to apply the skills of that lesson.
Key facts
- In the first module you'll plan an analysis approach, in the second and third modules you will analyze sets of data using the Excel skills you learn. In the fourth module you will prepare a business presentation.
- In the final Capstone Project, you'll apply the skills you’ve learned by working through a mock client business problem.
- You'll analyze a set of data, looking for the business insights. Then you'll create and visualize your findings, before recording a video to present your recommendations to the client.
Skills you'll gain
- Data Analysis
- Business Analysis
- Data Management
- Data Visualization
- Data Analysis Software
- Spreadsheet Software
- Problem Solving
- Data Structures
- Data Visualization Software
Programme Structure
Courses include:
- Data-driven Decision Making
- Problem Solving with Excel
- Data Visualization with Advanced Excel
- Effective Business Presentations with Powerpoint
- Data Analysis and Presentation Skills: the PwC Approach Final Project
Key information
Duration
- Part-time
- 2 months
- 10 hrs/week
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
Computer Sciences Data Science & Big Data View 416 other Short Courses in Computer Sciences in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
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.
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $399/year, cancel anytime or 14-day money-back guarantee
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.
Improve page content