This course is part of the Key Technologies in Data Analytics Specialization

Erik Herman

Offered By

Key Technologies in Data Analytics SpecializationLearnQuest

About 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.

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Earn a Certificate upon completion

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Course 1 of 4 in the

Key Technologies in Data Analytics Specialization

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Basic computer knowledge

Approx. 18 hours to complete

English

Subtitles: English

What you will 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 will gain

Data visualization Data explorationData queriesData CollectionData AnalysisData Visualization (DataViz)

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 1 of 4 in the

Key Technologies in Data Analytics Specialization

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Basic computer knowledge

Approx. 18 hours to complete

English

Subtitles: English

Instructor

Erik Herman

35 Learners

4 Courses

Offered by

LearnQuest

LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.

Syllabus - What you will learn from this course

Week

Week 1

4 hours to complete

Types of Data Analysis

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!

4 hours to complete

14 videos (Total 33 min), 6 readings, 6 quizzes

14 videos

Course Introduction and Objectives2m

Module Introduction and Objectives1m

Introduction to Descriptive Analytics2m

Descriptive Analytics in Your Reading54s

Introduction to Predictive Analytics4m

Predictive Analytics in Your Reading42s

Introduction to Diagnostic Analytics4m

Diagnostic Analytics in Your Reading1m

Introduction to Exploratory Analytics4m

Exploratory Analytics in Your Reading1m

Introduction to Advanced Data Analytics2m

Advanced Data Analytics in Your Reading57s

Hands-on Demonstration: Explore the Data!6m

Module 1 Summary28s

6 readings

Fundamentals of Descriptive Analytics10m

A Predictive Analytics Primer10m

Diagnostic Analytics: I'm On the Case!10m

What is Exploratory Data Analysis10m

What is Advanced Analytics?10m

Hands-on Exercise: Explore the Data!10m

6 practice exercises

Descriptive Analytics5m

Predictive Analytics5m

Diagnostic Analytics5m

Exploratory Analytics5m

Advanced Data Analytics5m

Module 1 Graded Quiz30m

Week

Week 2

6 hours to complete

The Phases of Data Analysis

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.

6 hours to complete

15 videos (Total 38 min), 7 readings, 7 quizzes

15 videos

Module Introduction and Objectives1m

Introduction to Data Requirements Gathering4m

Data Requirements Gathering in Your Reading40s

Introduction to Data Collection3m

Data Collection in Your Reading33s

Introduction to Data Cleaning3m

Data Cleaning in Your Reading30s

Introduction to Data Analysis3m

Data Analysis in Your Reading34s

Introduction to Data Interpretation2m

Data Interpretation in Your Reading52s

Introduction to Data Visualization4m

Data Visualization in Your Reading1m

Hands-on Demonstration: Visualize the Data!9m

Module 2 Summary1m

7 readings

Data Requirements Analysis10m

11 Data Collection Techniques for Savvy Researchers10m

The Ultimate Guide to Data Cleaning10m

Market Research 101: Data Analysis10m

What is Data Interpretation10m

5 Best Practices for Data Visualization10m

Hands-on Exercise: Visualize the Data!10m

7 practice exercises

Data Requirement Gathering15m

Data Collection15m

Data Cleaning15m

Data Analysis15m

Data Interpretation15m

Data Visualizations15m

Module 2 Graded Quiz30m

Week

Week 3

3 hours to complete

Data Analytics Tools and Skills

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.

3 hours to complete

9 videos (Total 32 min), 4 readings, 4 quizzes

9 videos

Module Introduction1m

Introduction to Data Analytics Tools6m

Data Analytics Tools in Your Reading55s

Introduction to SQL Basics5m

SQL Basics in Your Reading1m

Introduction to Data Analytics Programming Fundamentals4m

Data Analytics Programming Fundamentals in Your Reading1m

Hands-on Demonstration: Conduct Ad-hoc Analysis10m

Module 3 Summary17s

4 readings

A Brief History of Database Management10m

SQL Wikipedia10m

The Python Tutorial10m

Hands-on Exercise: Conduct Ad-hoc Analysis10m

4 practice exercises

Data Analytics Tools15m

Query Basics15m

Data Analytics Programming Fundamentals15m

Module 3 Graded Quiz30m

2 hours to complete

Foundational Data Analytics Math and Stats

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.

2 hours to complete

6 videos (Total 12 min), 2 readings, 3 quizzes

6 videos

Module Introduction and Objectives38s

Introduction to Data Analytics Foundational Math7m

Data Analytics Foundational Math in Your Reading50s

Introduction to Advanced Data Analytics Algorithms2m

Advanced Data Analytics Algorithms in Your Reading38s

Module 4 Summary24s

2 readings

How to Learn Math for Data Science20m

10 Things Statistics Taught Us About Big Data Analysis15m

3 practice exercises

Foundational Math and Stats for Data Analytics15m

Advanced Data Analytics Algorithms15m

Module 4 Graded Quiz30m

Week

Week 4

2 hours to complete

Data Analytics Methodologies and Workflows

In the fifth week of this course, we'll learn about defining data analytics methodologies and workflows.

2 hours to complete

6 videos (Total 13 min), 2 readings, 3 quizzes

6 videos

Module Introduction and Objectives23s

Introduction to Data Analytics Methodologies6m

Data Analytics Methodologies in Your Reading1m

Introduction to Data Analytics Workflows3m

Data Analytics Workflows in Your Reading1m

Module 5 Summary12s

2 readings

Why We Need a Methodology for Data Science15m

The Data Science Workflow15m

3 practice exercises

Data Analytics Methodologies15m

Data Analytics Workflows15m

Module 5 Graded Quiz30m

About the Key Technologies in Data Analytics Specialization

This specialization aims to prepare you for a role working in data analytics. The first course is Fundamentals of Data Analysis. You’ll be introduced to core concepts and you’ll learn about the tools and skills required to conduct data analysis.

The second course, Fundamentals of Cloud Computing, will introduce you to core concepts of cloud computing and the primary deployment and service models. The hands on material offers the opportunity to review and configure a cloud account. In Fundamentals of Data Warehousing, you will learn core concepts of data warehousing. You will learn about the primary components and architectures of data warehousing. The hands on material offers the opportunity to review and configure cloud storage options. In Fundamentals of Big Data, you will be introduced to concepts, systems and life cycles of big data. The hands on material offers you the opportunity to load data into your cloud account.

Frequently Asked Questions

When will I have access to the lectures and assignments?
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:
The course may not offer an audit option. 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.
What will I get if I subscribe to this Specialization?
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. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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Fundamentals of Data Analysis