Introduction to Data Science using R
About:
This course is taught by GITAA, an IIT-M incubated company. GITAA is founded by experienced academicians from Indian Institute of Technology, Madras, who bring in a wealth of expertise and knowledge in data sciences. GITAA’s applied courses for Data Science aspirants, are specifically designed to enhance career opportunities in various industries.
Course Description:
The course teaches students to collect data from various sources and organize large data sets, to prepare data for statistical modelling, to use “R”, to perform exploratory data analysis, to visualize data, to use R for predictive modelling, to execute machine learning algorithms, develop an appreciation for basic machine learning algorithms and develop their knowledge, skills and competence.
Learning Outcomes:
Describe a flow process for data science problems (Remembering)
Classify data science problems into standard typology (Comprehension)
Develop Python codes for data science solutions (Application)
Correlate results to the solution approach followed (Analysis)
Assess the solution approach (Evaluation)
Skills you will learn:
This course shall equip the students to learn skills on R Programming, data visualization and statistical modelling.
Jobs that you will qualify: Data Analyst, Data Scientist.
Instructor Details:
Prof. Shankar Narasimhan - IITM Professor in the department of Chemical Engineering
Prof. Raghunathan Rengaswamy - Institute Chair Professor at IITM
Eligibility and Pre-requisite knowledge:
Students with some exposure to high school mathematics and knowledge of programming basics (preferred).
Duration of the course:
self-paced. The videos will be available for 6 months from the data of creating your account in our Learning Management System.
Mode of learning:
Online (recorded) videos.
Fees:
Free
Certificate Provider:
SWAYAM Plus, GITAA and IITM Pravartak Technologies Foundation
Course Syllabus:
• Introduction to data analytics and big data
• Basics of programming in R
• Data acquisition & Data Preparation
• Introduction to the basics of statistics
• Inferential Statistics
• Predictive Modelling
• Machine Learning
Limitations of Generally Available Electronic Trainer Kits:
Large in Size and Weight.
Needs external source and measuring instruments.
Covers only specific areas of Electronics.
Can perform only a limited number of Experiments.
Experiments can be performed only in the laboratory.
Needs a large experimental area for supporting instruments.
High in cost.
Features:
Features include hands-on training with professional modules, PowerPoint classes for clear theoretical understanding, and technology-enabled teaching tools for improved learning outcomes.
Immersive experiences will be provided, along with complete access to necessary codes, libraries, and documentation, ensuring comprehensive support throughout the course.
Provide a deep skill set to design, code, and build IoT projects and products.
Understand how to work with sensors for measuring temperature, humidity, fire/gas levels, water quality, visible and infrared light, sound and ultrasound, human motion detection, obstacle detection, and heart pulse rate.
Learn to work with I/O Devices and Actuators, including LEDs/LCDs/OLEDs, relays, switches, matrix keypads, touch keys, servo & stepper motors, and RFID reader.
Gain an understanding of sensing and measurement techniques.
Learn to implement control and automation to design programmable logic controllers (PLCs).
Understand how to use WiFi shields, connect to cloud IoT platforms, persist data, and trigger email alerts.
Learn to use a mobile app service to control IoT devices over the internet.
Build confidence in incorporating sensors, input/output devices, actuators, and embedded controllers into research projects to implement measurement and control with feedback mechanisms.
Learn to implement multichannel data acquisition with storage in a cloud database.
Practical learning enhances confidence and conceptual understanding. Portable in size (A4 Size) and less weight (2.5 kg) and one can easily carry as a briefcase.
Visualization of projects stimulates interest to implement IoT in various fields.
Building the prototype project starts with block-level design and component-level testing, followed by integration into schematic drawings and final incorporation into PCB design with a microcontroller IC. This will boost the interest in launching a startup focused on product design.
Highlights of Supporting Manual of Electronic Trainer Kit:
Manual is framed as self-practice by students with necessary wiring diagrams.
Manual starts with a Quick Overview of the Trainer System, describing the various functional blocks, and their locations.
Sufficient background Theory is given for better understanding.
Measurement tables are given with theoretical values to verify practical results.
Plots are given for quick analysis as well as the conclusion.
Wherever required, experiments are provided with numerical problems to understand the theory well.
Specifications, Characteristics, and functions of each component are discussed in detail.
Self-Assessment questions are given to gain confidence.
Appendix is given to recollect basics and apply in relevant experiments.
The range of topics covered, start from electricity basics, electrical circuits, test and measuring instruments, electronic components, semiconductor devices, transistor circuits, Analog Circuits, digital electronics, Solar photovoltaic as a renewable energy source, Input-Output devices, sensors and actuators till the embedded controller using Arduino UNO. Last two topics are devoted to the application-based exercises as relevant for use in our day-to-day life.
List of Dos and Don’ts and Safety Practice are given.
Needs only minimum guidance and provides great confidence.
Manual is prepared with the motive of imparting the required Knowledge and Skill competencies so as to nurture the students to build and develop their own electronic circuitry and systems in the future.
Course covers :
Electronics and Embedded controller experiments with Universal Trainer kit.
Advanced Embedded and Remote controlled IoT projects.
Proto type project design with schematic and PCB Design.
Electronics and Embedded Controller Experiments with Universal Trainer Kit:
Vehicle Speed Monitor :
Real Time stamped Data acquisition system with OLED :
Soil Moisture sensed Automatic Water planting with Remote monitoring :
Mobile App Control and Monitoring System :
RFID Detected Office Attendance Entry with Auto Room Power OFF @ Zero entry :
Assembling and testing of Automatic Car Parking with Anti-collision Alarm and day/night Headlight control :
Registration:
Link will be posted soon
Assistance:
Digital Skills Academy
Mail Id: digitalskillsacademy@iitmpravartak.net
Contact No: 9498341969