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.
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 
Get in-depth knowledge of a subject
(5 reviews)
Intermediate level
Recommended experience
6 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(5 reviews)
Intermediate level
Recommended experience
6 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
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
Overview
Skills you'll gain
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
May 2025
148 practice exercises
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
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, Databases, Data Integrity, Data Modeling, Database Systems, Authorization (Computing), Data Manipulation, Database Management, and Query Languages
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
Requirements Analysis, Unified Modeling Language, Database Design, Data Modeling, Relational Databases, Data Integrity, Databases, Dependency Analysis, Database Theory, Conceptual Design, and Database Management
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, Stored Procedure, Relational Databases, Transaction Processing, Data Structures, Data Integrity, MySQL, Database Application, Database Design, Java, Database Management, and Performance Tuning
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, Regression Analysis, Python Programming, Decision Tree Learning, Statistical Modeling, Classification And Regression Tree (CART), Data Analysis, Feature Engineering, Data Manipulation, Machine Learning, Data Science, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Analysis, Exploratory Data Analysis, Analytics, Machine Learning Algorithms, and Data Visualization
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, NoSQL, Distributed Computing, Big Data, Apache Kafka, Apache Hadoop, Data Processing, Data Storage Technologies, MongoDB, Real Time Data, Data Lakes, Apache Cassandra, Data Infrastructure, Informatics, Database Management Systems, Cloud Computing, Databases, Data Architecture, Apache Hive, and Data Management
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
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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.
More questions
Financial aid available,