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.
Fundamentals of Data Analysis
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Fundamentals of Data Analysis
This course is part of Key Technologies in Data Analytics Specialization
Instructor: Erik Herman
2,621 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
3.8
(29 reviews)
Beginner level
Recommended experience
18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
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
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
23 assignments
Taught in English
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This course is part of the Key Technologies in Data Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
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
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
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
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
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
Instructor
Instructor ratings
4.2 (13 ratings)Offered by
Recommended if you're interested in Data Analysis
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Frequently asked questions
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:
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