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

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Erik Herman

Offered By

Key Technologies in Data Analytics SpecializationLearnQuest

About this Course

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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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Course 1 of 4 in the

Key Technologies in Data Analytics Specialization

Beginner Level

Basic computer knowledge

Approx. 18 hours to complete

English

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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 exploration
Data queries
Data Collection
Data Analysis
Data Visualization (DataViz)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 1 of 4 in the

Key Technologies in Data Analytics Specialization

Beginner Level

Basic computer knowledge

Approx. 18 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.5/5 (9 Ratings)

Erik Herman

5,733 Learners

10 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.

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Syllabus - What you will learn from this course

Week1

Week 1

4 hours to complete

Types of Data Analysis

4 hours to complete

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

14 videos

Course Introduction and Objectives2mModule Introduction and Objectives1mIntroduction to Descriptive Analytics2mDescriptive Analytics in Your Reading54sIntroduction to Predictive Analytics4mPredictive Analytics in Your Reading42sIntroduction to Diagnostic Analytics4mDiagnostic Analytics in Your Reading1mIntroduction to Exploratory Analytics4mExploratory Analytics in Your Reading1mIntroduction to Advanced Data Analytics2mAdvanced Data Analytics in Your Reading57sHands-on Demonstration: Explore the Data!6mModule 1 Summary28s

6 readings

Fundamentals of Descriptive Analytics10mA Predictive Analytics Primer10mDiagnostic Analytics: I'm On the Case!10mWhat is Exploratory Data Analysis10mWhat is Advanced Analytics?10mHands-on Exercise: Explore the Data!10m

6 practice exercises

Descriptive Analytics5mPredictive Analytics5mDiagnostic Analytics5mExploratory Analytics5mAdvanced Data Analytics5mModule 1 Graded Quiz30m

Week2

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 Objectives1mIntroduction to Data Requirements Gathering4mData Requirements Gathering in Your Reading40sIntroduction to Data Collection3mData Collection in Your Reading33sIntroduction to Data Cleaning3mData Cleaning in Your Reading30sIntroduction to Data Analysis3mData Analysis in Your Reading34sIntroduction to Data Interpretation2mData Interpretation in Your Reading52sIntroduction to Data Visualization4mData Visualization in Your Reading1mHands-on Demonstration: Visualize the Data!9mModule 2 Summary1m

7 readings

Data Requirements Analysis10m11 Data Collection Techniques for Savvy Researchers10mThe Ultimate Guide to Data Cleaning10mMarket Research 101: Data Analysis10mWhat is Data Interpretation10m5 Best Practices for Data Visualization10mHands-on Exercise: Visualize the Data!10m

7 practice exercises

Data Requirement Gathering15mData Collection15mData Cleaning15mData Analysis15mData Interpretation15mData Visualizations15mModule 2 Graded Quiz30m

Week3

Week 3

3 hours to complete

Data Analytics Tools and Skills

3 hours to complete

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

9 videos

Module Introduction1mIntroduction to Data Analytics Tools6mData Analytics Tools in Your Reading55sIntroduction to SQL Basics5mSQL Basics in Your Reading1mIntroduction to Data Analytics Programming Fundamentals4mData Analytics Programming Fundamentals in Your Reading1mHands-on Demonstration: Conduct Ad-hoc Analysis10mModule 3 Summary17s

4 readings

A Brief History of Database Management10mSQL Wikipedia10mThe Python Tutorial10mHands-on Exercise: Conduct Ad-hoc Analysis10m

4 practice exercises

Data Analytics Tools15mQuery Basics15mData Analytics Programming Fundamentals15mModule 3 Graded Quiz30m

2 hours to complete

Foundational Data Analytics Math and Stats

2 hours to complete

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

6 videos

Module Introduction and Objectives38sIntroduction to Data Analytics Foundational Math7mData Analytics Foundational Math in Your Reading50sIntroduction to Advanced Data Analytics Algorithms2mAdvanced Data Analytics Algorithms in Your Reading38sModule 4 Summary24s

2 readings

How to Learn Math for Data Science20m10 Things Statistics Taught Us About Big Data Analysis15m

3 practice exercises

Foundational Math and Stats for Data Analytics15mAdvanced Data Analytics Algorithms15mModule 4 Graded Quiz30m

Week4

Week 4

2 hours to complete

Data Analytics Methodologies and Workflows

2 hours to complete

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

6 videos

Module Introduction and Objectives23sIntroduction to Data Analytics Methodologies6mData Analytics Methodologies in Your Reading1mIntroduction to Data Analytics Workflows3mData Analytics Workflows in Your Reading1mModule 5 Summary12s

2 readings

Why We Need a Methodology for Data Science15mThe Data Science Workflow15m

3 practice exercises

Data Analytics Methodologies15mData Analytics Workflows15mModule 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. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Fundamentals of Data Analysis

About this Course

What you will learn

Skills you will gain