Data Science Using Python Course – Complete Overview

1. Introduction

• Data Science is the process of analyzing, visualizing, and interpreting large sets of data to make better decisions.

• Python is the most popular programming language for Data Science because of its simplicity, huge libraries, and community support.

• This course teaches students how to use Python for data cleaning, data analysis, visualization, machine learning, and real-world projects.

2. Why Learn Data Science with Python?

• High demand in IT, Finance, Healthcare, Marketing, and Research.

• One of the highest-paying career options today.

• Python is easy to learn for beginners.

• Covers AI, Machine Learning, and Deep Learning foundations.

• Career scope in India and abroad is huge.

3. Eligibility

• Minimum: 12th Pass (Science/Commerce/Arts with Math preferred).

• Suitable for: Students, Graduates, Engineers, IT Professionals, and Job Seekers.

• Basic computer/programming knowledge is helpful, but not mandatory.

4. Duration

• Certificate Course → 3–4 Months

• Diploma in Data Science with Python → 6–12 Months

5. Course Modules / Syllabus

🔹 Module 1: Introduction to Data Science

• What is Data Science?

• Real-world applications

• Python for Data Science overview

🔹 Module 2: Python Programming Basics

• Python Installation & IDEs (Jupyter, Anaconda)

• Data Types, Variables, Operators

• Control Structures (if, loops)

• Functions & Modules

• File Handling

• Error Handling

🔹 Module 3: Data Handling with Python

• Numpy → Arrays, Mathematical Operations

• Pandas → Series, DataFrames, Data Cleaning, Data Manipulation

• Working with CSV, Excel, JSON files

🔹 Module 4: Data Visualization

• Matplotlib → Line, Bar, Pie, Scatter plots

• Seaborn → Heatmaps, Pairplots, Advanced Graphs

• Plotly → Interactive Visualizations

🔹 Module 5: Statistics & Probability for Data Science

• Mean, Median, Mode, Standard Deviation, Variance

• Probability Distributions

• Hypothesis Testing

• Correlation & Regression

🔹 Module 6: Exploratory Data Analysis (EDA)

• Handling Missing Data

• Outlier Detection

• Feature Engineering

• Data Transformation

🔹 Module 7: Machine Learning with Python

• Introduction to ML

• Supervised Learning (Linear Regression, Logistic Regression, Decision Trees, Random Forest)

• Unsupervised Learning (Clustering – KMeans, Hierarchical)

• Model Evaluation (Accuracy, Precision, Recall, F1-Score)

🔹 Module 8: Advanced Concepts (Optional)

• Natural Language Processing (NLP) Basics

• Introduction to Deep Learning (TensorFlow / Keras Overview)

• Time Series Analysis

🔹 Module 9: Tools & Libraries

• Jupyter Notebook, Anaconda

• Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn

• SQL Integration with Python

• Git & GitHub Basics for Projects

🔹 Module 10: Projects

• Data Cleaning & Visualization of Sales Data

• Predictive Model for Student Scores

• Customer Segmentation (Clustering)

• Sentiment Analysis (Twitter Data)

• Stock Price Prediction

6. Skills Students Will Learn

• Python Programming

• Data Cleaning & Data Wrangling

• Data Visualization & Reporting

• Statistical Analysis

• Machine Learning Model Building

• Problem-Solving with Data

• Real-time Project Development

7. Career Opportunities

After completing this course, students can work as:

• Data Analyst

• Data Scientist

• Business Intelligence Analyst

• Machine Learning Engineer

• Research Analyst

• Python Developer (Data Science focus)

• Freelancer / Consultant

8. Average Salary in India

• Data Analyst (Fresher) → ₹4 – 6 LPA

• Data Scientist → ₹6 – 12 LPA

• Machine Learning Engineer → ₹8 – 15 LPA

• Senior Data Scientist → ₹15 – 25 LPA

• Freelancers → ₹50k – ₹2 lakh per project

9. Industries Hiring Data Science Experts

• IT & Software Companies

• Banking & Finance

• Healthcare & Pharmaceuticals

• E-commerce & Retail

• Manufacturing & Supply Chain

• Marketing & Advertising Agencies

10. Certification

• Institute Course Completion Certificate

• Project-based Certificate

• Option for International Certifications:

  • Microsoft Data Science Certification

  • IBM Data Science Certification

  • Google Data Analytics Professional Certificate

👉 We can brand this as:

• “Certificate in Data Science Using Python” (Short-term)

• “Diploma in Data Science with Python & Machine Learning” (Advanced)