About
Embark on a 2-month virtual internship where you'll use Python to uncover insights from data and solve real-world problems through Data Science. Choose from projects like data cleaning and preprocessing, building machine learning models, performing exploratory data analysis, visualizing trends with libraries like Matplotlib and Seaborn, or deploying predictive analytics solutions. Develop practical skills in data manipulation, modeling, and storytelling using Python.
Objectives
The objective of this project is to enable participants to analyze and interpret data using Python. By working with real datasets, they will learn to apply statistical methods, machine learning algorithms, and visualization techniques to uncover insights and make data-driven decisions.
Learning Outcomes
Undertake Data Science projects that address real-world challenges Seek out an employment opportunity in the field of Data Science Take on additional responsibilities within a current role that includes utilising Data Science
Python Proficiency: Master Python basics, data manipulation, and visualization using Pandas and Matplotlib.
Data Analysis: Perform data cleaning, transformation, and visualization for insights.
Statistics & Probability: Apply statistical methods like hypothesis testing and probability distributions.
SQL Skills: Query databases using SQL for efficient data extraction.
Tableau: Create data visualizations and dashboards with Tableau.
Data Science & ML: Understand data science principles and apply ML algorithms (regression, classification).
Machine Learning: Implement key algorithms like SVM, KNN, and clustering techniques.
NLP & Time Series: Work with natural language data and time series forecasting.
Business Intelligence (BI) Tools: Use BI tools for data-driven decision-making.
Web App Development: Build and deploy web applications using Streamlit.
Problem-Solving: Solve real-world data problems using Python and ML techniques.
Live Online Course
The Live Online Course is a key part of the long-term internship program, offering interactive, mentor-led sessions on foundational and advanced concepts in your chosen domain. Delivered live, it ensures real-time engagement, practical learning, and personalized guidance.
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Comprehensive Learning (8 Hours): Covers basics to advanced topics in your chosen domain, ensuring a thorough understanding.
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Domain-Specific Mentorship: Expert mentors guide you through foundational concepts, practical applications, and advanced techniques.
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Interactive Sessions: Participate in live Q&A, group discussions, and hands-on problem-solving for an engaging experience.
Self-Paced Learning
This module is designed for learners who prefer flexibility and autonomy in their learning journey. With up to 30 hours of structured, high-quality content, the self-paced module offers a comprehensive approach to mastering subject matter at your own speed. Whether you're balancing work, college, or other commitments, this module ensures continuous learning without compromising on depth or engagement.
Key Features:
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Up to 30 Hours of Learning Content: Expert-led video lessons, interactive demos, and reading material.
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Quizzes & Activities: Knowledge checks, assessments, and real-world assignments to reinforce learning.
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Doubt-Solving Support: Dedicated doubt-clearing forums, support channels, or scheduled mentor hours.
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Concept Clarity: Carefully structured topics progressing from fundamentals to advanced concepts.
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Flexible Access: Learn anytime, from anywhere, at your own pace.
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Completion Certificate: Get certified upon successful completion of the module and assessments.
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Career-Ready Outcomes: Build practical skills that prepare you for internships, jobs, and further studies.