Fundamentals of Data Analysis

This course is part of Key Technologies in Data Analytics Specialization

Instructor: LearnQuest Network

Access provided by Masterflex LLC, Part of Avantor

4,509 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

32 reviews

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

32 reviews

Beginner level

Recommended experience

2 weeks to complete

at 10 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

Tools you'll learn

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

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

Module 1 Graded Quiz 30 minutes
Descriptive Analytics 5 minutes
Predictive Analytics 5 minutes
Diagnostic Analytics 5 minutes
Exploratory Analytics 5 minutes
Advanced Data Analytics 5 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

Module 2 Graded Quiz 30 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

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

Module 3 Graded Quiz 30 minutes
Data Analytics Tools 15 minutes
Query Basics 15 minutes
Data Analytics Programming Fundamentals 15 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.