LearnQuest

Fundamentals of Data Analysis

This course is part of Key Technologies in Data Analytics Specialization

Taught in English

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Erik Herman

Instructor: Erik Herman

2,331 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

3.9

(25 reviews)

Beginner level

Recommended experience

18 hours (approximately)
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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

23 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.9

(25 reviews)

Beginner level

Recommended experience

18 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

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.
  • 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
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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 quizzes10 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 quizzes12 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 quizzes6 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 quizzes4 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 quizzes4 discussion prompts

Instructor

Instructor ratings
4.2 (12 ratings)
Erik Herman
LearnQuest
10 Courses13,108 learners

Offered by

LearnQuest

Recommended if you're interested in Data Analysis

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