Remote Data Science & Analytics Internship
Turn raw datasets into business intelligence, automated dashboards, and statistical models using Python, SQL, and Power BI.
1 Month
4 structured project weeks + review.
100% Remote / Online
Work from anywhere with mentor feedback.
Free (₹0 Fee)
Free project sprint; optional ₹149 verified certificate.
Stipend Evaluation
Top performers evaluated for paid extension.
What You Will Build & Master
The Cognolynx Data Science and Analytics Internship prepares students to analyze real-world data, identify meaningful trends, formulate hypotheses, and present executive business intelligence dashboards. You will work through data extraction, cleaning, statistical modeling, and interactive visualization.
Focus Specializations in this Track
Tools & Technologies
Hands-On Milestone Schedule
Structured week-by-week goals that guide you from environment configuration to fully working deliverables.
Data Wrangling & Relational SQL
Complex SQL queries (JOINs, Window Functions, Group By), data normalization, and cleansing messy tabular datasets.
Exploratory Analysis & Visualization
Statistical testing, correlation matrices, and compelling visual charting using Matplotlib, Seaborn, and Plotly.
BI Dashboards & KPIs
Designing responsive business intelligence dashboards in Power BI or Tableau with dynamic drill-downs and KPIs.
Predictive Analytics & Final Capstone
Applying regression/classification techniques for forecasting and preparing an executive data presentation.
Eligibility Criteria for this Domain
Students of Engineering, BCA, MCA, B.Sc Computer Science, Statistics, Mathematics, or Economics with an interest in analytical problem-solving.
Degree Programs
Open to B.E/B.Tech (CSE, IT, ECE, AI/DS), BCA, MCA, B.Sc Computer Science / IT, and polytechnic diploma students.
Prerequisites
Foundational interest in programming, basic logic, and willingness to learn with provided documentation and code reviews.
Hardware Requirements
A standard laptop or desktop computer with internet connectivity. No expensive hardware or paid software licenses required.
Track-Specific Questions
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