Fundamentals of Data Analysis
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
Fundamentals of Data Analysis
This course is part of Key Technologies in Data Analytics Specialization
Instructor: LearnQuest Network
5,150 already enrolled
Included with
Ask Coursera
34 reviews
Recommended experience
34 reviews
Recommended experience
What you'll learn
Explain the primary types of data analysis
Define the phases of the data analysis process
Identify tools and skills required to conduct data analysis
Skills you'll gain
- Advanced Analytics
- Analytics
- Data Collection
- Data Cleansing
- Predictive Analytics
- Statistical Programming
- Exploratory Data Analysis
- Data Analysis Software
- Statistical Methods
- Descriptive Analytics
- Data Visualization Software
- Statistics
- Spreadsheet Software
- Analytical Skills
- Data Visualization
- Statistical Analysis
- Data Analysis
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- 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
There are 5 modules in this course
This course is the first of a series that aims to prepare you for a role working in data analytics. In this course, you’ll be introduced to many of the primary types of data analytics and core concepts. You’ll learn about the tools and skills required to conduct data analysis. We’ll go through some of the foundational math and statistics used in data analysis and workflows for conducting efficient and effective data analytics. This course covers a wide variety of topics that are critical for working in data analytics and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.
In the first module of the course, we'll learn about the primary types of data analysis including, descriptive, predictive, diagnostic, and exploratory. We will also learn about some advanced data analytic types including mechanistic, causal, and inferential. By the end of this module, you will know how to identify the different types of data analysis and their use cases. So let's get started!
What's included
14 videos6 readings6 assignments10 discussion prompts
14 videos•Total 33 minutes
- Course Introduction and Objectives•3 minutes
- Module Introduction and Objectives•1 minute
- Introduction to Descriptive Analytics•2 minutes
- Descriptive Analytics in Your Reading•1 minute
- Introduction to Predictive Analytics•5 minutes
- Predictive Analytics in Your Reading•1 minute
- Introduction to Diagnostic Analytics•4 minutes
- Diagnostic Analytics in Your Reading•1 minute
- Introduction to Exploratory Analytics•4 minutes
- Exploratory Analytics in Your Reading•1 minute
- Introduction to Advanced Data Analytics•2 minutes
- Advanced Data Analytics in Your Reading•1 minute
- Hands-on Demonstration: Explore the Data!•6 minutes
- Module 1 Summary•0 minutes
6 readings•Total 60 minutes
- Fundamentals of Descriptive Analytics•10 minutes
- A Predictive Analytics Primer•10 minutes
- Diagnostic Analytics: I'm On the Case!•10 minutes
- What is Exploratory Data Analysis•10 minutes
- What is Advanced Analytics?•10 minutes
- Hands-on Exercise: Explore the Data!•10 minutes
6 assignments•Total 55 minutes
- Descriptive Analytics•5 minutes
- Predictive Analytics•5 minutes
- Diagnostic Analytics•5 minutes
- Exploratory Analytics•5 minutes
- Advanced Data Analytics•5 minutes
- Module 1 Graded Quiz•30 minutes
10 discussion prompts•Total 100 minutes
- How Do You "Feel"?•10 minutes
- Research and Share with the Group•10 minutes
- Your One Prediction•10 minutes
- Research and Share with the Group•10 minutes
- Analyze Your Connected World•10 minutes
- Research and Share with the Group•10 minutes
- Go Exploring!•10 minutes
- Research and Share with the Group•10 minutes
- Get to "Work"!•10 minutes
- Research and Share with the Group•10 minutes
In the second module of this course, we'll learn about the phases of the data analysis process including identifying data, defining scope, and level of detail. We'll learn about the data collection process, from gathering targeted information to evaluating outcomes. We'll discover the importance of data cleaning and how removing, modifying, and formatting data is a priority, as well as the benefits of visualizing data.
What's included
15 videos7 readings7 assignments12 discussion prompts
15 videos•Total 38 minutes
- Module Introduction and Objectives•2 minutes
- Introduction to Data Requirements Gathering•4 minutes
- Data Requirements Gathering in Your Reading•1 minute
- Introduction to Data Collection•3 minutes
- Data Collection in Your Reading•1 minute
- Introduction to Data Cleaning•3 minutes
- Data Cleaning in Your Reading•1 minute
- Introduction to Data Analysis•3 minutes
- Data Analysis in Your Reading•1 minute
- Introduction to Data Interpretation•3 minutes
- Data Interpretation in Your Reading•1 minute
- Introduction to Data Visualization•4 minutes
- Data Visualization in Your Reading•1 minute
- Hands-on Demonstration: Visualize the Data!•9 minutes
- Module 2 Summary•1 minute
7 readings•Total 70 minutes
- Data Requirements Analysis•10 minutes
- 11 Data Collection Techniques for Savvy Researchers•10 minutes
- The Ultimate Guide to Data Cleaning•10 minutes
- Market Research 101: Data Analysis•10 minutes
- What is Data Interpretation•10 minutes
- 5 Best Practices for Data Visualization•10 minutes
- Hands-on Exercise: Visualize the Data!•10 minutes
7 assignments•Total 120 minutes
- Data Requirement Gathering•15 minutes
- Data Collection•15 minutes
- Data Cleaning•15 minutes
- Data Analysis•15 minutes
- Data Interpretation•15 minutes
- Data Visualizations•15 minutes
- Module 2 Graded Quiz•30 minutes
12 discussion prompts•Total 120 minutes
- Share Your Experience•10 minutes
- Research and Share with the Group•10 minutes
- Can I Ask You a Question?•10 minutes
- Research and Share with the Group•10 minutes
- Howdy Data•10 minutes
- Research and Share with the Group•10 minutes
- Follow the Jobs!•10 minutes
- Research and Share with the Group•10 minutes
- Interpret Your Data•10 minutes
- Research and Share with the Group•10 minutes
- The Year of the Visualization•10 minutes
- Research and Share with the Group•10 minutes
In the third module of this course, we'll learn about the tools and skills essential for data analysis. We'll learn about using spreadsheets and databases for analyzing and managing the data. We'll discover the power of query languages and multidimensional expressions. We’ll also describe the fundamental programming languages used in data analytics.
What's included
9 videos4 readings4 assignments6 discussion prompts
9 videos•Total 32 minutes
- Module Introduction•1 minute
- Introduction to Data Analytics Tools•7 minutes
- Data Analytics Tools in Your Reading•1 minute
- Introduction to SQL Basics•5 minutes
- SQL Basics in Your Reading•1 minute
- Introduction to Data Analytics Programming Fundamentals•5 minutes
- Data Analytics Programming Fundamentals in Your Reading•1 minute
- Hands-on Demonstration: Conduct Ad-hoc Analysis•10 minutes
- Module 3 Summary•0 minutes
4 readings•Total 40 minutes
- A Brief History of Database Management•10 minutes
- SQL Wikipedia•10 minutes
- The Python Tutorial•10 minutes
- Hands-on Exercise: Conduct Ad-hoc Analysis•10 minutes
4 assignments•Total 75 minutes
- Data Analytics Tools•15 minutes
- Query Basics•15 minutes
- Data Analytics Programming Fundamentals•15 minutes
- Module 3 Graded Quiz•30 minutes
6 discussion prompts•Total 60 minutes
- Your Tools?•10 minutes
- Research and Share with the Group•10 minutes
- The Beauty of a Query•10 minutes
- Research and Share with the Group•10 minutes
- Always Be Learning!•10 minutes
- Research and Share with the Group•10 minutes
In the fourth module of this course, we'll learn about the fundamental math and stats used for data analysis. We’ll also describe some advanced data analytic algorithms and their use cases, including linear regression and clustering.
What's included
6 videos2 readings3 assignments4 discussion prompts
6 videos•Total 12 minutes
- Module Introduction and Objectives•1 minute
- Introduction to Data Analytics Foundational Math•7 minutes
- Data Analytics Foundational Math in Your Reading•1 minute
- Introduction to Advanced Data Analytics Algorithms•3 minutes
- Advanced Data Analytics Algorithms in Your Reading•1 minute
- Module 4 Summary•0 minutes
2 readings•Total 35 minutes
- How to Learn Math for Data Science•20 minutes
- 10 Things Statistics Taught Us About Big Data Analysis•15 minutes
3 assignments•Total 60 minutes
- Foundational Math and Stats for Data Analytics•15 minutes
- Advanced Data Analytics Algorithms•15 minutes
- Module 4 Graded Quiz•30 minutes
4 discussion prompts•Total 40 minutes
- I Love Math and Stats!•10 minutes
- Research and Share with the Group•10 minutes
- Artificial Intelligence (AI) for All?•10 minutes
- Research and Share with the Group•10 minutes
In the fifth week of this course, we'll learn about defining data analytics methodologies and workflows.
What's included
6 videos2 readings3 assignments4 discussion prompts
6 videos•Total 13 minutes
- Module Introduction and Objectives•0 minutes
- Introduction to Data Analytics Methodologies•6 minutes
- Data Analytics Methodologies in Your Reading•1 minute
- Introduction to Data Analytics Workflows•3 minutes
- Data Analytics Workflows in Your Reading•1 minute
- Module 5 Summary•0 minutes
2 readings•Total 30 minutes
- Why We Need a Methodology for Data Science•15 minutes
- The Data Science Workflow•15 minutes
3 assignments•Total 60 minutes
- Data Analytics Methodologies•15 minutes
- Data Analytics Workflows•15 minutes
- Module 5 Graded Quiz•30 minutes
4 discussion prompts•Total 40 minutes
- A Method to Your Madness?•10 minutes
- Research and Share with the Group•10 minutes
- Be like a certified, agile, blackbelt, ninja waterfall!•10 minutes
- Research and Share with the Group•10 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Explore more from Data Analysis
- Status: PreviewN
Northeastern University
Course
- Status: Free Trial
Course
- Status: Free TrialC
Corporate Finance Institute
Course
- Status: PreviewN
Northeastern University
Course
Why people choose Coursera for their career
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.
When you enroll in the course, you get access to all of the courses in the Specialization, 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.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,