10 Oct
|
Training Basket
|
India
10 Oct
Training Basket
India
- Collect, clean, pre process, and analyze structured and unstructured datasets.
- Perform Exploratory Data Analysis (EDA) to identify trends, patterns, and insights.
- Develop and evaluate basic machine learning models.
- Work with Python libraries such as Pandas, Num Py, Matplotlib, Seaborn, and Scikit-learn.
- Write SQL queries to extract and manipulate data.
- Create reports, dashboards, and data visualizations.
- Assist in feature engineering, model training, and performance evaluation.
- Apply statistical techniques to solve business problems.
- Collaborate with data analysts, data scientists, and development teams.
- Document findings, methodologies, and project outcomes.
- Support ongoing data science and analytics projects.
Requirements
- Python
- SQL
- Pandas
- Num Py
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
📌 Data Science Intern (India)
🏢 Training Basket
📍 India