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

Blended

Fee:

₹1,499

Dr. Priti Maheshwary | Professor Future Skills Academy

₹1,499

4 Months

4 AISECT LEARN

English

1 Year

Yes

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.

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.

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.

Prepare for your career path

Curriculum

1.1 Intro What is Data Science?

1.2 Real Life Examples with Applications

1.3 Data Scientist Job roles and responsibilities

1.4 The Most Promising Job of the 21st Century

1.5 Machine Learning vs. Data Science vs. AI

2.1 Python Introduction

2.2 Follow this Installation Guide of Anaconda Navigator

2.3 Jupyter Notebook Interface

2.4 How to Open, Save and Rename a file

2.5 Variables and Data Types

2.6 Python Strings

2.7 Loops (Conditional)

2.8 Loops (Iterative while)

2.9 Loops (Iterative For)

2.10 Python Functions (Built in, Lambda, User defined functions)

2.11 Lists

2.12 Tuples

2.13 Sets

2.14 Dictionaries

3.1 Numpy Arrays in Python

3.2 Three Dimensional Arrays Indexing and slicing

3.3 Matrices

3.4 Pandas in Python

3.5 Importing CSV, Excel Files

3.6 Exporting CSV file

4.1 Basic Descriptive Statistics with Numpy and Applying Statistical Functions on Matrices

4.2 Linear Algebra with NumPy

4.3 Numpy Random Numbers

4.4 Probability Distributions using NumPy

4.5 Normality Test with SciPy

5.1 Pandas Data Frames

5.2 Querying Data in Pandas

5.3 Data Aggregation with Pandas Data Frames Aggregation with Pandas Data Frames

5.4 Concatenating and Appending Data Frames

5.5 Joining Data Frames

5.6 Statistics with Pandas Data Frames

5.7 Handling Missing Data

5.8 Pivot Tables

5.9 Plotting in 5.9 Plotting in PandasPandas

6.1 The Matplotlib Package

6.2 Basic Matplotlib Plots

6.3 Logarithmic Plots

6.4 Scatter Plots

6.5 Three Dimensional Plots

6.6 Lag Plots

6.7 Autocorrelation Plots

6.8 Plot.ly

7.1 Introduction to the concept of enterprise

7.2 Examples of Real world enterprises

7.4 Discussion on young entrepreneurs

7.5 Characteristics of entrepreneurs

7.6 Advantages and Disadvantages of entrepreneurship

7.7 Jobs Vs Entrepreneurship

7.8 Types of Entrepreneurships

8.1 Exploring ideas: Starting with your own idea

8.2 Using pre-existing ideas

8.3 Sources of ready ideas and schemes

8.4 Market survey -How to gather information

8.5 Secondary study and reports

8.6 Primary study

8.7 Identifying and analyzing competitors and their products

8.8 Identifying your target markets: Identifying who will buy, geography

8.9 Customer types - tools and templates to shortlist market segment

9.1 Identifying and Mitigating Risks

9.2 Legal and Regulatory Challenges

9.3 Dealing with Failure and Setbacks

10.1 Ideate and Plan Your Business

10.2 Secondary Market Research

10.3 Developing Market Strategy

10.4 Financial Forecast

10.5 Elevator Pitch

Instructor

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

Other Details

Python, Entrepreneurship and Communication Skills Internship

Level

Basic

Start Date

15/03/2026

Credentials

Certificate

Fees

₹1,499

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4.Python for Data Science Internship (Self-Paced + Live). (1)

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

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