Job Description
This Data Science Internship by CodeMore is designed to provide practical exposure to data analysis, statistical modeling, and data-driven decision-making techniques used in modern industries. Interns will gain hands-on experience in data preprocessing, exploratory data analysis, data visualization, predictive analytics, and machine learning fundamentals using real-world datasets.
The internship includes practical assignments, industry-oriented projects, and mentorship from experienced data professionals to help participants understand the complete data science workflow. Interns will work with Python, data analysis libraries, visualization tools, and statistical methods to extract meaningful insights and build analytical solutions.
Responsibilities
– Work on real-world data science and analytics projects
– Perform data preprocessing and exploratory data analysis (EDA)
– Build data visualizations and predictive analytics models
– Apply machine learning fundamentals to datasets
– Develop portfolio-worthy data-driven projects
Requirements / Who Can Apply
– Students from Any degree and Any specialization
– Available for a duration of 2 months
– Have relevant skills and interest in Data Science
– Basic knowledge of Python and statistics preferred
Skills Required
– Python
– Data Analysis (Pandas, NumPy)
– Data Visualization (Matplotlib, Seaborn)
– Statistical Methods
– Machine Learning basics
– Exploratory Data Analysis (EDA)
Perks & Benefits
– Hands-on experience with real-world data science projects
– Exposure to data visualization and predictive analysis techniques
– Guidance from experienced data science professionals
– Opportunity to work with modern analytical tools and datasets
– Portfolio development through practical data-driven projects
– Industry-recognized Digital Certificate upon successful completion
– Top performers may receive exclusive opportunities and tech goodies