In the “IoT – Internet of Things: Big Data and Analytics” course, learners will explore the critical role of data in today’s business and public sectors. This microcredential course covers the Data Analysis Lifecycle, encompassing descriptive, predictive, and prescriptive analytics. Hands-on experience with Jupyter Notebooks is provided for setting up efficient data pipelines, including data acquisition, analysis, and visualization. Additionally, learners will delve into machine learning to automate tasks, enhancing efficiency. The microcredential course includes practical activities for a deeper understanding and offers valuable insights into mastering big data and IoT analytics.
What You’ll Learn
Upon completing this course, you will gain proficiency in analyzing IoT data to extract valuable business insights, identifying various data analytics approaches. You will also be skilled in building a Python data pipeline for sensor data and effectively evaluating the insights derived from it. Furthermore, you will develop a solid understanding of the role of machine learning in IoT analytics and excel in presenting data-driven narratives. Additionally, you will be well-equipped to navigate the transition from SQL to NoSQL data management, comprehend modern data center platforms, and grasp the fundamentals of Apache Hadoop. In sum, this course will empower you with the essential skills to leverage data effectively and navigate the intricate landscape of the Internet of Things with confidence and expertise.
Skills You’ll Gain
- Computing program models
- Data generation
- Designing data models
Roles
- Big Data Developer
- Data Scientists in IoT
- IoT Architect
Course Outline
Module 1: Data and the Internet of Things
Module 2: Fundamentals of Data Analysis
Module 3: Data Analysis
Module 4: Advanced Data Analytics and Machine Learning
Module 5: Storytelling with Data
Module 6: Architecture for Big Data and Data Engineering
Required Resources
Microsoft Windows or Mac OS (Software); Prototyping Lab Application, Cisco Packet Tracer 7.1 or later, Jupyter Notebook (Software); Raspberry Pi 3 CanaKit Ultimate Starter Kit, Sparkfun Inventor’s Kit for Arduino – V3.2, Multicolored Jumper Wires (40-pin Male to Female, 40-pin Male-to-Male, 40-pin Female-to-Female), Breadboard Jumper Wires, Raspberry Pi Camera Module v4 (Hardware); High-speed Internet Connection (Network)
Pre-Requisites
Solid experience in writing and debugging Python code and basic understanding of IoT concepts; completed course IoT Connecting Things or its equivalent
Assessment
In this IoT: Connecting Things course, there will be:
- One (1) diagnostic assessment, to be conducted synchronously and is knowledge-based, with the flexibility for learners to choose between remote or on-site participation.
- Two (2) formative assessments, both concentrating on performance-based skills measurement and to be conducted synchronously. Learners have the option to participate remotely or on-site.
- A performance-based summative assessment conducted synchronously, allowing learners to participate remotely or on-site.
Credit and Recognition
The certification from this microcredential course is globally recognized wherever Cisco and Cisco NetAcad are acknowledged.
This course is delivered in partnership with CISCO, a leading global technology company, through its CISCO Networking Academy Program. To ensure the quality of this microcredential, continuous feedback loops with students, instructors, and industry practitioners are maintained to improve content, delivery, and assessment methods continuously.
Learning Pathways
This Fundamental Course is a stackable pre-requisite for the Hackathon Playbook and IoT Security
