introduction to data analytics for business coursera final assignment

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Introduction to Data Analytics for Business

University of Colorado Boulder via Coursera Help

• Data and Analysis in the Real World
• Welcome to week 1! In this module we’ll learn how to think about analytical problems and examine the process by which data enables analysis & decision making. We’ll introduce a framework called the Information-Action Value chain which describes the path from events in the world to business action, and we’ll look at some of the source systems that are used to capture data. At the end of this course you will be able to: Explain the information lifecycle from events in the real world to business actions, and how to think about analytical problems in that context , Recognize the types of events and characteristics that are often used in business analytics, and explain how the data is captured by source systems and stored using both traditional and emergent technologies, Gain a high-level familiarity with relational databases and learn how to use a simple but powerful language called SQL to extract analytical data sets of interest, Appreciate the spectrum of roles involved in the data lifecycle, and gain exposure to the various ways that organizations structure analytical functions, Summarize some of the key ideas around data quality, data governance, and data privacy
• Analytical Tools
• In this module we’ll learn about the technologies that enable analytical work. We’ll examine data storage and databases, including the relational database. We’ll talk about Big Data and Cloud technologies and ideas like federation, virtualization, and in-memory computing. We’ll also walk through a landscape of some of the more common tool classes and learn how these tools support common analytical tasks.
• Data Extraction Using SQL
• In this module we’ll learn how to extract data from a relational database using Structured Query Language, or SQL. We’ll cover all the basic SQL commands and learn how to combine and stack data from different tables. We’ll also learn how to expand the power of our queries using operators and handle additional complexity using subqueries.
• Real World Analytical Organizations
• In this module we focus on the people and organizations that work with data and actually execute analytics. We’ll discuss who does what and see how organizational structures can influence efficiency and effectiveness. We’ll also look at the supporting rules & processes that help an analytical organization run smoothly, like Data Governance, Data Privacy, and Data Quality.

David Torgerson

• united states

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• AA Anonymous 6 years ago Really a good introductory course for data science and analytics. It covers almost everything you need to know before going deeper in the field. Contents are easy to understand and the lecturer communicates the idea pretty well. Helpful

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Introduction to data analytics: ibm data analyst professional certificate review.

In this review series, I will be reviewing the IBM Data Analyst Professional Certificate from Coursera as I make progress with each course included in the program. I will split the review based on the course so in this post I am reviewing the first course in the series:  Introduction to Data Analytics

The objective of this course is to introduce you to concepts in data analysis including data types, the data ecosystem, the pipeline of data gathering, collection, cleaning, analysis, and visualizations, and of course how to communicate results.

Expected Time of Completion: One Week

The course consists of 4 weeks with each week having 1 graded quiz . To pass this course, you have to pass all the graded quizzes in addition to the final peer review assignment to get the certificate.

Weeks modules

Week 1: What is Data Analytics

Week 2: The Data Ecosystem

Week 3: Gathering and Wrangling Data

Week 4: Mining & Visualizing Data and Communicating Results

The audience of this course consists of everyone interested in data analysis, currently, data analysts refreshing on their knowledge of data scientists.

This might be easy to do but make sure you understand the concepts outlined in this course as you will need them throughout the rest of the program and to pass the final exam.

The certificate looks like below:

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Excel Basics for Data Analysis

This course is part of multiple programs. Learn more

This course is part of multiple programs

Instructors: Sandip Saha Joy +1 more

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We asked all learners to give feedback on our instructors based on the quality of their teaching style.

Financial aid available

353,671 already enrolled

(8,032 reviews)

Recommended experience

Beginner level

No prior experience with spreadsheets or coding needed. All you need to get started is a device with a modern web browser.

What you'll learn

Display working knowledge of Excel for Data Analysis.

Perform basic spreadsheet tasks including navigation, data entry, and using formulas.

Employ data quality techniques to import and clean data in Excel.

Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.

Skills you'll gain

• Data Science
• Spreadsheet
• Data Analysis
• Microsoft Excel
• Pivot Table

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There are 5 modules in this course

Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data.

This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required - all you need is a device with a modern web browser and the ability to create a Microsoft account to access Excel online at no cost. If you have a desktop version of Excel, you can also easily follow along with the course. Throughout this course, you'll gain valuable experience working with data sets and spreadsheets. We'll start by introducing you to spreadsheets like Microsoft Excel and Google Sheets, and show you how to load data from multiple formats. From there, you'll learn how to perform basic data wrangling and cleansing tasks using functions, and expand your knowledge of data analysis through the use of filtering, sorting, and pivot tables. There is a strong focus on practice and applied learning in this course. With each lab, you'll have the opportunity to manipulate data and gain hands-on experience using Excel. You'll learn how to clean and format your data efficiently, and convert it into a pivot table to make it more organized and readable. The final project will allow you to showcase your newly acquired data analysis skills by working with real data sets and spreadsheets. By the end of this course, you'll have a solid foundation in using Excel for data analysis. You'll have worked with multiple data sets and spreadsheets, and will have the skills and knowledge needed to effectively clean and analyze data without having to learn any code. So let's get started!

Introduction to Data Analysis Using Spreadsheets

In this module, you will learn about the fundamentals of spreadsheet applications, and you will be introduced to the Excel interface and learn how to navigate your way around a worksheet and workbook.

What's included

5 videos 1 reading 2 quizzes 3 plugins

5 videos • Total 26 minutes

• Course Introduction • 2 minutes • Preview module
• Introduction to Spreadsheets • 5 minutes
• Spreadsheet Basics - Part 1 • 5 minutes
• Spreadsheet Basics - Part 2 • 6 minutes
• Viewpoints: Using Spreadsheets as a Data Analysis Tool • 5 minutes

1 reading • Total 10 minutes

• Summary and Highlights • 10 minutes

2 quizzes • Total 18 minutes

• Practice Quiz • 9 minutes
• Graded Quiz • 9 minutes

3 plugins • Total 50 minutes

• Reading: Excel Keyboard Shortcuts • 10 minutes
• Hands-on Lab: Getting Started with Excel Online • 20 minutes
• Hands-on Lab 2: Spreadsheet Basics • 20 minutes

Getting Started with Using Excel Spreadsheets

In this module you will learn how to perform basic spreadsheet tasks, such as viewing, entering and editing data, and moving, copying and filling data. In addition, you will learn about the fundamentals of formulas, and learn about the most common functions used by a data analyst. Finally, you will learn how to reference data in formulas.

5 videos 1 reading 2 quizzes 2 plugins

5 videos • Total 35 minutes

• Viewing, Entering, and Editing Data • 5 minutes • Preview module
• Copying, Filling, and Formatting Cells and Data • 7 minutes
• The Basics of Formulas • 7 minutes
• Intro to Functions • 5 minutes
• Referencing Data in Formulas • 9 minutes

2 quizzes • Total 39 minutes

• Practice Quiz • 18 minutes
• Graded Quiz • 21 minutes

2 plugins • Total 60 minutes

• Hands-on Lab 3: Entering and Formatting Data • 30 minutes
• Hands-on Lab 4: Simple Use of Functions • 30 minutes

Cleaning & Wrangling Data Using Spreadsheets

In this module, you will learn about the importance of data quality, and you will learn how to import file data in to Excel. You will also learn about the fundamentals of data privacy. In addition, you will learn how to remove duplicate and inaccurate data, and how to remove empty rows in your data. Finally, you will learn how to deal with inconsistencies in your data and how to use the Flash Fill and Text to Columns features to help you manipulate and standardize your data.

8 videos 2 readings 4 quizzes 1 plugin

8 videos • Total 47 minutes

• Introduction to Data Quality • 3 minutes • Preview module
• Importing File Data • 5 minutes
• Basics of Data Privacy • 5 minutes
• Viewpoints: Data Quality and Privacy • 4 minutes
• Removing Duplicated or Inaccurate Data and Empty Rows • 8 minutes
• Dealing with Inconsistencies in Data • 9 minutes
• More Excel Features for Cleaning Data • 6 minutes
• Viewpoints: Issues with Data Quality • 4 minutes

2 readings • Total 20 minutes

4 quizzes • total 51 minutes.

• Practice Quiz • 12 minutes

1 plugin • Total 45 minutes

• Hands-on Lab 5: Cleaning Data • 45 minutes

Analyzing Data Using Spreadsheets

In this module, you will learn about the fundamentals of analyzing data using a spreadsheet, and learn how to filter and sort data. You will also learn how to use some of the most useful functions for a data analyst, and how to use the VLOOKUP and HLOOKUP reference functions. In addition, you will learn how to create pivot tables in Excel, and use several pivot table features.

8 videos 2 readings 4 quizzes 3 plugins

8 videos • Total 56 minutes

• Intro to Analyzing Data Using Spreadsheets • 5 minutes • Preview module
• Filtering and Sorting Data in Excel • 7 minutes
• Viewpoints: Filtering and Sorting • 1 minute
• Useful Functions for Data Analysis • 11 minutes
• Using the VLOOKUP and HLOOKUP Functions • 9 minutes
• Introduction to Creating Pivot Tables in Excel • 7 minutes
• Viewpoints: Pivot Tables • 3 minutes
• Pivot Table Features • 9 minutes

4 quizzes • Total 57 minutes

• Practice Quiz • 15 minutes
• Graded Quiz • 15 minutes

3 plugins • Total 75 minutes

• Reading: Advanced Excel Formulas: COUNTIFS, SUMIFS, and XLOOKUP • 15 minutes
• Hands-on Lab 6: Filtering and Sorting Data • 30 minutes
• Hands-on Lab 7: Using Pivot Tables • 30 minutes

Final Project

Great! You have now completed all four modules of this course. In this final module, you will be introduced to a hands-on lab where you will complete a graded assignment for cleaning and preparing data, and then analyzing data using an Excel spreadsheet. This final assignment will be graded by your peers.

2 readings 1 peer review 2 plugins

2 readings • Total 6 minutes

• Congratulations and Next Steps • 5 minutes
• Course Credits and Acknowledgements • 1 minute

1 peer review • Total 60 minutes

• Final Assignment - Part 3: Submit Your Work and Peer Review • 60 minutes

2 plugins • Total 30 minutes

• Final Assignment - Part 1: Clean and Prepare the Data • 15 minutes
• Final Assignment - Part 2: Analyze the Data • 15 minutes

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Learner reviews

Showing 3 of 8032

8,032 reviews

Reviewed on Dec 24, 2021

Great course, even for those people that are using Excel every day, this course shows quite a few different ways to improve your abilities to present the data and best practices for cleaning dat.

Reviewed on Oct 14, 2022

Great course for excel beginner user, i learnt use of pivot table and vlook , some new fonulas and if functions etc and able to put it to real work at my field of work. i recommend, thanks

Reviewed on Nov 22, 2021

Really good and useful course to get more familiar with Excel. I wish there was better feedback to/from peers on the last assignment and how to grade... But that is just a minor opinion of mine :)

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Frequently asked questions

When will i have access to the lectures and assignments.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Certificate?

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

What is the refund policy?

If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy Opens in a new tab .

More questions

Peer-graded Assignment: Final Assignment

Peer-graded assignment: final assignment >> what is data science.

In this Assignment, you will demonstrate your understanding of the videos and the readings by answering open-ended questions, defining data science and data scientist, and describing the different sections comprising a final deliverable of a data science project. Please note that this assignment is worth 10% of your final grade.

Assignment Solution :

As discussed in the videos and the reading material, data science can be applied to problems across different industries. Give a brief explanation describing what industry you are passionate about and would like to pursue a data science career in? (2 marks)

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