CLOSE
CLOSE
https://aisectlearn.com/wp-login.php?action=logout&redirect_to=https%3A%2F%2Faisectlearn.com%2Fmy-account%2F&_wpnonce=d939e8ed77

Python for Data Science PG Internship (Self Paced+ Live)

Blended

Fee: 1,500

Dr. Priti Maheshwary Dr. Priti Maheshwary | Professor Future Skills Academy

This program is designed for Postgraduate students who aim to develop advanced technical skills in Python and Data Science while fostering entrepreneurial thinking. The internship offers a hands-on, structured curriculum that integrates Python programming, data manipulation, statistical analysis, data visualization, and foundational entrepreneurship concepts. By the end of this internship, students will have the technical proficiency to analyze complex datasets, visualize data insights, and solve real-world problems, alongside the entrepreneurial mindset to identify opportunities and innovate solutions.

Objectives

This internship aims to equip students with essential Python programming and Data Science skills to analyze, interpret, and visualize data while fostering an entrepreneurial mindset to identify opportunities and innovate solutions.

To provide a comprehensive understanding of Data Science concepts and their real-world applications.

To equip students with essential Python programming skills required for data analysis and visualization.

To enable students to apply statistical techniques for data interpretation.

To foster entrepreneurial thinking, encouraging students to recognize opportunities and innovate solutions.

To prepare students for industry roles by enhancing problem-solving, critical thinking, and project execution skills.

What Will You Learn

Core Data Science Concepts: Explore the significance of Data Science, roles of a Data Scientist, and the industry landscape. Python Essentials: Develop proficiency in Python programming, covering variables, data types, loops, functions, and data structures like lists, dictionaries, and tuples. Data Manipulation and Analysis: Gain expertise in using libraries like NumPy and Pandas for data handling, transformation, and cleaning. Data Visualization: Create impactful visualizations using Matplotlib and Plotly to derive meaningful insights. Statistics for Data Science: Apply statistical methods for data analysis, including probability distributions, hypothesis testing, and linear algebra. Entrepreneurship Skills: Understand the fundamentals of entrepreneurship, types of enterprises, opportunity recognition, and the characteristics of successful entrepreneurs.

Skills you will gain
Fundamentals of Cyber Security: Understanding key concepts like network security, encryption, and threat analysis.
Risk Management Techniques: Identifying, assessing, and mitigating cybersecurity risks for organizations.
Incident Response and Recovery: Developing the skills to handle security breaches and disaster recovery strategies.
Security Governance and Compliance: Understanding policies, frameworks, and legal requirements related to cybersecurity.
Hands-on Experience with Security Tools: Gaining practical experience with tools for penetration testing, firewalls, and network monitoring.
Entrepreneurship Skills: Learning how to identify business opportunities, develop business models, and manage cybersecurity ventures effectively.

Curriculum

  • Python for Data Science Introduction

  •  
  • Python Essentials

  •  
  • Data Manipulation and Data Analysis Tools

  •  
  • Python Data Analysis, Statistics

  •  
  • Advanced Python - Pandas

  •  
  • Data Visualialization in Python

  •  
  • Entrepreneurship Skill

  •  
  • Course SLM

  •  
  • 2 Live Sessions

  •  
  • Final Project

  •  

Instructor

Dr. Priti Maheshwary
Dr. Priti Maheshwary
Professor Future Skills Academy
IT, Computer Science

Presently working at Future Skill Academy. Involved in Computer Science and Engineering for over 20 years in higher education and training. Her career has included various software development projects, teaching, research and administrative roles. She enjoys teaching and looking into how to improve student learning experience. Published around 50 research papers in refereed journals and conferences, 7 book chapters, 6 Patents. 8 PhD thesis completed under her guidance in the field of Internet of Things, Smart Cities, Ubiquitous Computing, Wireless Sensor Network, VANET, Image Processing specialized in Satellite Images, AI/ML & Deep Learning, and Cyber Security. I have also done more than 10 projects in the field of Research and Consultancy.

4.0 1045 1100 Learners
Shareable Certificate
Certificate-26 Sample Certificate aicte aisect learn aisect ltd nsdc (Internship)-1

Other Details

Python, Entrepreneurship and Communication Skills Internship

Level
Basic
Credentials
Certificate
Fees
1,500
Get Skilled, Get hired by Top Companies. Job Placement Assistance