Problem Solving with Excel (Coursera)

Offered by PwC,
Problem Solving with Excel (Coursera)

This course explores Excel as a tool for solving business problems. In this course you will learn the basic functions of excel through guided demonstration. Each week you will build on your excel skills and be provided an opportunity to practice what you’ve learned. Finally, you will have a chance to put your knowledge to work in a final project. This course was created by PricewaterhouseCoopers LLP with an address at 300 Madison Avenue, New York, New York, 10017.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Course 2 of 5 in the Data Analysis and Presentation Skills: the PwC Approach Specialization.

Syllabus

WEEK 1
Overview of Excel
In this module, you will learn the basics of Excel navigation and Excel basic functionality. You will learn how to navigate the basic Excel screen including using formulas, subtotals and text formatting. We will provide you an opportunity to perform a problem solving exercise using basic Excel skills. Note: We recommend viewing videos in full-screen mode by clicking the double arrow in the lower right hand corner of your screen.

WEEK 2
vLookups and Data Cleansing
In this module you will learn about VLookup, value cleansing and text functions. We will also introduce you to PwC's perspective on the value in cleansing data and using the appropriate functions. Finally, we will provide you an opportunity to perform a problem solving exercise using VLookup, value cleansing and text function. Note: We recommend viewing videos in full-screen mode by clicking the double arrow in the lower right hand corner of your screen.

WEEK 3
Logical Functions & Pivot Tables
In this module, you will learn about logical functions and pivot tables. We will show you how to create and use pivot tables to solve business problems. We will give you an opportunity to practice creating and using a pivot table to solve a business problem. Finally, we will share some insight on PwC’s perspectives on the impact of Excel on your career and work. Note: We recommend viewing videos in full-screen mode by clicking the double arrow in the lower right hand corner of your screen.

WEEK 4
More Advanced Formulas
In this module you will learn more advanced Excel formulas. We will show you how to create statistical formulas, perform an index match, and lastly, build financial formulas. We will provide you with an opportunity to problem solve using statistical formulas. Finally, we will give you an opportunity to practice what you have learned through a final project. Note: We recommend viewing videos in full-screen mode by clicking the double arrow in the lower right hand corner of your screen.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Bioinformatic Methods II (Coursera) Coursera
University of Toronto

Bioinformatic Methods II (Coursera)

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Jun 8th 2026
5-12 Weeks
Statistical Inference (Coursera) Coursera
Johns Hopkins University

Statistical Inference (Coursera)

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference.

Jun 8th 2026
4 Weeks
Game Theory (Coursera) Coursera
Stanford University,The University of British Columbia

Game Theory (Coursera)

Popularized by movies such as "A Beautiful Mind," game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Beyond what we call `games' in common language, such as chess, poker, soccer, etc., it includes the modeling of conflict among nations, political campaigns, competition among firms, and trading behavior in markets such as the NYSE.

Jun 8th 2026
5-12 Weeks
Business Analytics for Decision Making (Coursera) Coursera
University of Colorado Boulder

Business Analytics for Decision Making (Coursera)

In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions.

Jun 8th 2026
4 Weeks
Introduction to Spreadsheets and Models (Coursera) Coursera
University of Pennsylvania

Introduction to Spreadsheets and Models (Coursera)

The simple spreadsheet is one of the most powerful data analysis tools that exists, and it’s available to almost anyone. Major corporations and small businesses alike use spreadsheet models to determine where key measures of their success are now, and where they are likely to be in the future. But in order to get the most out of a spreadsheet, you have know how to use it. This course is designed to give you an introduction to basic spreadsheet tools and formulas so that you can begin harness the power of spreadsheets to map the data you have now and to predict the data you may have in the future.

Jun 8th 2026
4 Weeks
Introduction to Probability and Data with R (Coursera) Coursera
Duke University

Introduction to Probability and Data with R (Coursera)

This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization.

Jun 8th 2026
5-12 Weeks
Exploring and Producing Data for Business Decision Making (Coursera) Coursera
University of Illinois at Urbana-Champaign

Exploring and Producing Data for Business Decision Making (Coursera)

This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals.

Jun 8th 2026
4 Weeks
Introduction to Recommender Systems: Non-Personalized and Content-Based (Coursera) Coursera
University of Minnesota

Introduction to Recommender Systems: Non-Personalized and Content-Based (Coursera)

This course, which is designed to serve as the first course in the Recommender Systems specialization, introduces the concept of recommender systems, reviews several examples in detail, and leads you through non-personalized recommendation using summary statistics and product associations, basic stereotype-based or demographic recommendations, and content-based filtering recommendations.

Jun 8th 2026
4 Weeks
Problem-Solving Skills for University Success (Coursera) Coursera
The University of Sydney

Problem-Solving Skills for University Success (Coursera)

In this course, you will learn how to develop your Problem Solving and Creativity Skills to help you achieve success in your university studies. After completing this course, you will be able to: 1-Recognise the importance and function of problem solving and creative thought within academic study and the role of critical thought in creative ideation; 2-Develop a toolkit to be able to identify real problems and goals within ill-defined problems; 3-Recognize and apply analytical problem solving techniques: 4-Recognise and apply creative problem solving techniques; 5-Identify the use of creativity within and types of problems most common to your field; 6-Apply learnt problem solving and creative ideation skills to a real-life context and reflect on personal learning processes

Jun 8th 2026
5-12 Weeks
Data Manipulation at Scale: Systems and Algorithms (Coursera) Coursera
University of Washington

Data Manipulation at Scale: Systems and Algorithms (Coursera)

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.

Jun 8th 2026
4 Weeks
Introducción a Data Science: Programación Estadística con R (Coursera) Coursera
Universidad Nacional Autónoma de México

Introducción a Data Science: Programación Estadística con R (Coursera)

Este curso te proporcionará las bases del lenguaje de programación estadística R, la lengua franca de la estadística, el cual te permitirá escribir programas que lean, manipulen y analicen datos cuantitativos. Te explicaremos la instalación del lenguaje; también verás una introducción a los sistemas base de gráficos y al paquete para graficar ggplot2, para visualizar estos datos. Además también abordarás la utilización de uno de los IDEs más populares entre la comunidad de usuarios de R, llamado RStudio.

Jun 8th 2026
4 Weeks