DATA SCIENCE AI\ML COURSE

Skills:

Python, Machine Learning, Data Visualization, Statistical Analysis, Pandas, Scikit-learn, Jupyter Notebooks, SQL,

Company Overview

Quest Innovative Solution is a Cochin-based ISO certified software development firm established in 2003. We specialize in delivering real-time solutions in system software, web development, and embedded systems to clients across the United States, Europe, and the Middle East. With our extensive experience, Quest offers IT training in contemporary domains such as data science, machine learning, and AI. Our company has 51-200 employees and is located in Cochin. More information is available at qis.co.in.

Job Overview

We are looking for freshers to join our Data Science Training program in an internship capacity. The position is remote and covers locations including Aluva, Kottayam, Alappuzha, Thrissur, Idukki, Angamali, and Muvattupula. This opportunity is designed for individuals seeking experience in the dynamic field of data science. You will gain practical exposure to industry-related skills and tools, enhancing your learning and career prospects.

Qualifications And Skills

• Proficiency in Python is mandatory as it is the primary programming language used in our data science curriculum (Mandatory skill).
• Understanding of machine learning algorithms and their application in solving real-world problems is essential.
• Competence in using Jupyter Notebooks as an interactive environment for writing and analyzing code.
• Basic understanding of SQL for querying and managing relational databases as part of data extraction.

• Participate actively in data science training sessions and contribute to hands-on projects with other interns.
• Develop data collection and processing strategies to improve data quality and accessibility for analysis.
• Assist in designing and implementing machine learning models and algorithms tailored to specific project needs.
• Collaborate with team members to interpret and present data insights through compelling visualizations and reports.
• Explore various software tools and libraries to enhance the efficiency and effectiveness of data processing tasks.
• Keep up-to-date with the latest trends and advancements in data science, machine learning, and related technologies.
• Document processes and results, ensuring transparency and reproducibility of analyses performed.