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Requirements
- Take quizzes & tests on any device, including mobile, and watch videos on any platform (including mobile). When utilizing a laptop or desktop computer, you will need at least 4GB of RAM.
Features
- Beginner Friendly
- Learn and Work from home at any time and place
- Hands-on Learning
- Interactive Projects
- Training Certificate
- 30% Scholarship for Student
Target audiences
- Under graduation and post-graduation (from engineering background), as well as engineers in the industry, will benefit greatly from this course.
- This training would benefit participants in artificial intelligence, machine learning, data science, information technology, robotics and computer science backgrounds
24RRE008 – Data Science with Python
Duration: 15 Hours
Unlock the Power of Data with Python
Course Overview
This course provides a comprehensive introduction to Data Science using Python, focusing on the key techniques and tools necessary for data analysis, visualization, and machine learning. Participants will learn how to handle, analyze, and interpret large datasets to uncover insights and make data-driven decisions.
Objectives
The course covers key topics such as:
- Introduction to Python for Data Science: Basics of Python programming, libraries, and data structures relevant to data science.
- Data Handling and Preprocessing: Techniques for cleaning, transforming, and preparing data using libraries like Pandas and NumPy.
- Data Visualization: Creating insightful visualizations with Matplotlib, Seaborn, and Plotly to better understand data patterns.
- Exploratory Data Analysis (EDA): Identifying trends, patterns, and correlations in data to inform decision-making.
- Introduction to Machine Learning: Implementing basic machine learning algorithms (e.g., regression, classification) with scikit-learn.
- Model Evaluation and Optimization: Understanding model performance, cross-validation, and techniques to improve accuracy.
Course Outcome
By the end of the course, participants will be proficient in using Python for data manipulation, analysis, and modeling, enabling them to work effectively on real-world data science projects.
Type of Program: Online and Offline
Pre requisite
This is a completely beginner-friendly program.
Prior Educational Qualification
Under graduation and post-graduation (from engineering and science background), as well as professionals in the industry, will benefit greatly from this course.
This training would benefit participants in artificial intelligence, machine learning, data science, information technology and computer science backgrounds.
Instructor
Soundarya Lakshmi Narayanan
Yes, students will receive a 40 percent scholarship. They can get the discount by using the appropriate coupon code. There is no financial assistance available for professionals.
The course will last for five weeks, with each week requiring around one hour of work (reading, videos, quizzes, and projects). You should be able to finish the course in 5 weeks if you work diligently.
There are no prerequisites for this course, thus it is suitable for absolute beginners. Beginners with an engineering background will have no trouble picking it up, but others will have no trouble at all because the entire concept was taken from the ground up.
Many careers can benefit from having a basic understanding of robotics, but other jobs demand it particularly. Careers in robotics include the following: Design Engineer, Simulation Engineer, Maintenance Engineer, Software Analyst, Software Developer, Software Engineer, User Experience Engineer, Research Scientist, Marketing Analyst, Technical Associative
Using the Arduino and hardware systems, you'll be able to design and build a variety of servo motor-based robots, as well as write basic code in both the C++ and C programming languages. Most importantly, you'll have fun experimenting with new technologies that will become an increasingly important part of our future.
No, it is merely an option; if you can afford it, go ahead. A real-life hands-on method to actively build, connect, and program a device is one of the important ingredients, for which you'll need to purchase electrical hardware such as Arduino Uno and Servo motors, which vary in cost and availability based on your area (1000–2000 INR).
Arduino IDE. You can directly download the software on the Arduino official page
Take quizzes & tests on any device, including mobile, and watch videos on any platform (including mobile). When utilizing a laptop or desktop computer, you will need at least 2GB of RAM.
Up to 1 Year, the participants can access the course materials including video lectures, course booklet and quizzes.
Participants can retake the quizzes up to ten times. There is no option for retaking the final exam.
If you have a question about a paid course while you're taking it, you can look for answers in the Respected Forum Section or submit a ticket through the support option.
Our Forum has been created particularly for participants to highlight measures that will assist you in promptly resolving any concerns you may have. Our Support Team is also available to assist you.
Yes. You will have access to the course when you have completed it as long as your accounts are in good standing and RoboRAM has a license to the course. So, if you want to go back over certain topics in the course after you've completed it, you can do so for up to one year from the date of your enrolment.
It is highly recommended you follow the courses in the specified order since the material builds on itself throughout the Specialization.
In simulation, design, programming, and other areas, robotics engineers can earn anywhere from 10 to 20 L per year. If the individual has a lot of stuff inside and outstanding industrial experience, pay packages can reach as high as 30L per year.
Course Includes:
- Price:₹10,000.00
- Instructor:Sriram Nagarajan
- Duration:365 days
Lessons:13- Students:63
- Language:English
- Certifications:Yes
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