Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

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.

Can I take the course for free?

No, you cannot take this course for free. 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. If you cannot afford the fee, you can apply for financial aid.

Data Analytics and Big Data Specialization

Data Analytics and Big Data Specialization

Build Expertise in Data Analytics and Big Data. Gain expertise in relational databases and big data technologies to manage datasets.

Instructors: Gerald Balekaki

Included with Coursera Plus

Learn more

5 course series

Get in-depth knowledge of a subject

4.8

(5 reviews)

Intermediate level

Recommended experience

6 months to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 course series

Get in-depth knowledge of a subject

4.8

(5 reviews)

Intermediate level

Recommended experience

6 months to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Design and implement relational databases using SQL
Manage and process big data using technologies like Hadoop and Spark
Perform data analysis and preprocessing to extract valuable insights

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from Illinois Tech

Specialization - 5 course series

This specialization provides a comprehensive understanding of relational databases, data preprocessing, and big data technologies. Learners will explore database design, implementation, and applications, along with data preparation and analysis techniques. The specialization is designed to help data scientists and analysts manage and analyze large datasets efficiently using industry-standard tools.

Applied Learning Project

Learners will engage in projects that involve designing and implementing relational databases, preprocessing data for analysis, and applying big data technologies to solve real-world data challenges in the courses in this specialization. However, there is no required capstone project for this specialization.

Introduction to Relational Databases

Course 148 hours

What you'll learn

Describe what relational databases are, and how they are used.
Master the Relational Database Model.
Demonstrate comprehensive SQL skills.

Skills you'll gain

Relational Databases, SQL, Database Design, Database Theory, User Accounts, Data Modeling, Database Management Systems, Database Architecture and Administration, Data Manipulation, Databases, Database Systems, Query Languages, Data Access, and Database Management

Relational Database Design

Course 247 hours

What you'll learn

Describe the process and the design aspects involved in relational database design.
Develop entity-relationship diagrams using basic and extended Entity-relationship features in relational design.
Identify and apply normalization techniques.

Skills you'll gain

Conceptual Design, Database Theory, Database Design, Data Modeling, Dependency Analysis, Databases, Database Architecture and Administration, Database Management, Unified Modeling Language, Data Integrity, Relational Databases, and Requirements Analysis

Relational Database Implementation and Applications

Course 330 hours

What you'll learn

Implement relational database and usage of indexes, views, triggers, temporary tables, functions, and stored procedures.
Develop database-driven applications using programming languages, such as Java, Python or C/C++ and frameworks.
Describe transaction and concurrency control concepts in relational databases.

Skills you'll gain

SQL, Relational Databases, Stored Procedure, Transaction Processing, MySQL, Data Structures, Data Integrity, Database Development, Database Management, Database Design, Java, and Performance Tuning

Data Preparation and Analysis

Course 479 hours

What you'll learn

1. Apply appropriate techniques for generating insights from data.
2. Present actionable solutions with confidence to the business stakeholders.

Skills you'll gain

Data Mining, Feature Engineering, Statistical Modeling, Data Analysis, Classification And Regression Tree (CART), Python Programming, Decision Tree Learning, Regression Analysis, Machine Learning, Data Visualization, Data Cleansing, Machine Learning Algorithms, Statistical Analysis, Data Science, Exploratory Data Analysis, Analytics, Scikit Learn (Machine Learning Library), and Data Manipulation

Big Data Technologies

Course 597 hours

What you'll learn

Understanding and identifying use cases and domains of Big Data problems
Selecting and implementing technical solutions involving Big Data systems
Develop and use various open source software systems (Apache) in the Big Data tech stack
Operate and run various cloud computing software services (AWS) in the Big Data infrastructure space

Skills you'll gain

Apache Spark, Distributed Computing, NoSQL, Big Data, Apache Hadoop, Data Lakes, Data Processing, Apache Cassandra, Data Storage Technologies, Apache Kafka, MongoDB, Real Time Data, Apache Hive, Database Management Systems, Cloud Computing, Databases, Data Infrastructure, Informatics, Data Management, and Data Architecture

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Build toward a degree

This Specialization is part of the following degree program(s) offered by Illinois Tech. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹

Instructors

Gerald Balekaki

Illinois Tech

3 Courses5,202 learners

Ming-Long Lam

Illinois Tech

1 Course1,930 learners

Offered by

Illinois Tech

Compare with similar products

	Category: This Certificate

Rating
Level
Skills
Tools
Last updated
Number of practice exercises
Degree eligibility
Part of Coursera Plus

Related skills

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

No, it’s not required—but it is recommended that you follow the course sequence listed on the specialization landing page. This order is designed to help you build your skills progressively, from foundational concepts to more advanced topics.

No, this specialization is open to all MOOC learners. You do not need to be an admitted degree-seeking student to complete the specialization and receive a Coursera–IIT co-branded non-credit certificate.

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Data Analytics and Big Data Specialization

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

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

Advance your subject-matter expertise