Internship Program
Data Science and Data Analyst Internship
Analyze datasets, create reports and dashboards, build basic predictive models, and extract meaningful insights using data science and data analysis techniques.
Python
SQL
Excel
Data Analysis
Pandas
NumPy
Visualization
Machine Learning Basics
Program Overview
Our Data Science and Data Analyst Internship introduces participants to the techniques used to clean, analyze, visualize, and interpret datasets while also exploring basic predictive modeling. The program combines data analyst workflows such as Excel, SQL, reporting, and dashboards with data science foundations using Python, Pandas, NumPy, and machine learning basics.
Fundamentals of Data Science, Data Analysis, and the data lifecycle
Programming for data analysis using Python
Working with structured data using NumPy and Pandas libraries
Data cleaning, preparation, and exploratory data analysis (EDA)
Data visualization techniques for charts, dashboards, and insight presentation
Introduction to Machine Learning concepts and algorithms
Querying and summarizing datasets using SQL fundamentals
Building basic models for regression, classification, and clustering
Using Excel for data cleaning, reporting, summaries, and business analysis
Completing an end-to-end data science and analysis project from data preparation to final presentation
By the end of the internship, participants will gain foundational knowledge of data science and data analyst tools used to clean datasets, run analysis, create visual reports, build basic models, and make data-driven decisions.
Python
SQL
Excel
Data Analysis
Pandas
NumPy
Visualization
Machine Learning Basics
Reporting
End-to-End Project