Fundamentals of Data Analysis

This course is part of Key Technologies in Data Analytics Specialization

Instructor: Erik Herman

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

Data Management

Details to know

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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

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 videosTotal 33 minutes

Course Introduction and Objectives2 minutesPreview module
Module Introduction and Objectives1 minute
Introduction to Descriptive Analytics2 minutes
Descriptive Analytics in Your Reading0 minutes
Introduction to Predictive Analytics4 minutes
Predictive Analytics in Your Reading0 minutes
Introduction to Diagnostic Analytics4 minutes
Diagnostic Analytics in Your Reading1 minute
Introduction to Exploratory Analytics4 minutes
Exploratory Analytics in Your Reading1 minute
Introduction to Advanced Data Analytics2 minutes
Advanced Data Analytics in Your Reading0 minutes
Hands-on Demonstration: Explore the Data!6 minutes
Module 1 Summary0 minutes

6 readingsTotal 60 minutes

Fundamentals of Descriptive Analytics10 minutes
A Predictive Analytics Primer10 minutes
Diagnostic Analytics: I'm On the Case!10 minutes
What is Exploratory Data Analysis10 minutes
What is Advanced Analytics?10 minutes
Hands-on Exercise: Explore the Data!10 minutes

6 assignmentsTotal 55 minutes

Module 1 Graded Quiz30 minutes
Descriptive Analytics5 minutes
Predictive Analytics5 minutes
Diagnostic Analytics5 minutes
Exploratory Analytics5 minutes
Advanced Data Analytics5 minutes

10 discussion promptsTotal 100 minutes

How Do You "Feel"?10 minutes
Research and Share with the Group10 minutes
Your One Prediction10 minutes
Research and Share with the Group10 minutes
Analyze Your Connected World10 minutes
Research and Share with the Group10 minutes
Go Exploring!10 minutes
Research and Share with the Group10 minutes
Get to "Work"!10 minutes
Research and Share with the Group10 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 videosTotal 37 minutes

Module Introduction and Objectives1 minutePreview module
Introduction to Data Requirements Gathering4 minutes
Data Requirements Gathering in Your Reading0 minutes
Introduction to Data Collection3 minutes
Data Collection in Your Reading0 minutes
Introduction to Data Cleaning3 minutes
Data Cleaning in Your Reading0 minutes
Introduction to Data Analysis3 minutes
Data Analysis in Your Reading0 minutes
Introduction to Data Interpretation2 minutes
Data Interpretation in Your Reading0 minutes
Introduction to Data Visualization4 minutes
Data Visualization in Your Reading1 minute
Hands-on Demonstration: Visualize the Data!9 minutes
Module 2 Summary1 minute

7 readingsTotal 70 minutes

Data Requirements Analysis10 minutes
11 Data Collection Techniques for Savvy Researchers10 minutes
The Ultimate Guide to Data Cleaning10 minutes
Market Research 101: Data Analysis10 minutes
What is Data Interpretation10 minutes
5 Best Practices for Data Visualization10 minutes
Hands-on Exercise: Visualize the Data!10 minutes

7 assignmentsTotal 120 minutes

Module 2 Graded Quiz30 minutes
Data Requirement Gathering15 minutes
Data Collection15 minutes
Data Cleaning15 minutes
Data Analysis15 minutes
Data Interpretation15 minutes
Data Visualizations15 minutes

12 discussion promptsTotal 120 minutes

Share Your Experience10 minutes
Research and Share with the Group10 minutes
Can I Ask You a Question?10 minutes
Research and Share with the Group10 minutes
Howdy Data10 minutes
Research and Share with the Group10 minutes
Follow the Jobs!10 minutes
Research and Share with the Group10 minutes
Interpret Your Data10 minutes
Research and Share with the Group10 minutes
The Year of the Visualization10 minutes
Research and Share with the Group10 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 videosTotal 31 minutes

Module Introduction1 minutePreview module
Introduction to Data Analytics Tools6 minutes
Data Analytics Tools in Your Reading0 minutes
Introduction to SQL Basics5 minutes
SQL Basics in Your Reading1 minute
Introduction to Data Analytics Programming Fundamentals4 minutes
Data Analytics Programming Fundamentals in Your Reading1 minute
Hands-on Demonstration: Conduct Ad-hoc Analysis10 minutes
Module 3 Summary0 minutes

4 readingsTotal 40 minutes

A Brief History of Database Management10 minutes
SQL Wikipedia10 minutes
The Python Tutorial10 minutes
Hands-on Exercise: Conduct Ad-hoc Analysis10 minutes

4 assignmentsTotal 75 minutes

Module 3 Graded Quiz30 minutes
Data Analytics Tools15 minutes
Query Basics15 minutes
Data Analytics Programming Fundamentals15 minutes

6 discussion promptsTotal 60 minutes

Your Tools?10 minutes
Research and Share with the Group10 minutes
The Beauty of a Query10 minutes
Research and Share with the Group10 minutes
Always Be Learning!10 minutes
Research and Share with the Group10 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.