AI & Data Science

Data Science Internship Program

Comprehensive Data Science Internship Experience

Workload: 400 hours Topics: Data Analysis and Visualization Tools | Fundamentals of Data Science | Machine Learning Techniques and Applications
Initial Registration β€” 80 EUR This initial payment is credited toward tuition. Program-specific discounts may apply.
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Program overview

The Data Science Internship Program at Cademix Institute of Technology is meticulously crafted to equip participants with hands-on experience in data analysis and visualization tools. This program emphasizes project-based learning, allowing participants to engage with real-world datasets and apply analytical techniques to derive actionable insights. Throughout the course, learners will have the opportunity to collaborate on projects that culminate in publishable results in Cademix Magazine, enhancing their professional portfolios and visibility in the job market.
Participants will delve into a variety of essential topics, from foundational data manipulation techniques to advanced visualization strategies. The program is designed to foster a deep understanding of the data science lifecycle, ensuring that graduates are well-prepared for the demands of the industry. By the end of the internship, learners will not only have acquired technical skills but also developed critical thinking and problem-solving abilities that are vital in today’s data-driven environment.
Data Wrangling and Preparation Techniques
Exploratory Data Analysis (EDA) Methods
Statistical Analysis and Hypothesis Testing
Data Visualization Principles and Best Practices
Introduction to Machine Learning Concepts
Utilizing Python for Data Science Applications
SQL for Data Retrieval and Management
Dashboard Creation with Tableau or Power BI
Project Management for Data Science Projects
Final Project: End-to-End Data Analysis and Visualization

Learning goal

To develop practical skills in data analysis and visualization, enabling participants to execute data-driven projects confidently.

Target group

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Prerequisites

Basic understanding of statistics and familiarity with programming concepts, preferably in Python or R.

Format and certification

Teaching method: Project-based, interactive learning environment.

Certificate: Certificate of Attendance or Certificate of Expert issued by Cademix Institute of Technology.

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Cademix Institute of Technology e.U.Continuing Education Β· Professional Development Β· Austria