Duration: 2 MONTHS

Course Syllabus

Course Title: Data Analysis with Python (Skill Development Course)

Duration: 2 Months (Part-Time)

Course Objectives:
  • Provide students with a strong foundation in data analysis using Python.
  • Teach students how to import, clean, and prepare datasets for analysis.
  • Develop proficiency in summarizing and visualizing data for insights.
  • Introduce students to regression and model development techniques.
  • Prepare students for self-employment opportunities and career growth in data analysis.
  • Highlight the importance of data analysis skills in various industries, including India's growing tech sector.

Course Overview: This 2-month part-time Data Analysis with Python Skill Development Course is designed to empower Indian students with essential data analysis skills using Python programming. The curriculum covers data importation, data cleaning, statistical analysis, and model development. The course can be adapted to accommodate learners with varying levels of prior knowledge and can be customized to meet specific learner or location requirements.

Course Teaching Methodology:

  • Classroom Instruction: Theory and concepts related to data analysis with Python.
  • Hands-On Practical Training: Students will practice data analysis techniques using Python.
  • Demonstrations: Instructors will demonstrate data analysis procedures.
  • Group Projects: Collaborative data analysis projects and real-world problem-solving.
  • Individualized Guidance: Instructors will provide one-on-one guidance to address specific learner needs.

Importance for Learner in Career Growth and Self-Employment:

  • Graduates of this course will be well-prepared for careers as data analysts, business analysts, or data scientists.
  • It provides a strong foundation for self-employment opportunities as students can offer data analysis services to businesses.
  • Offers potential for career growth in India's thriving tech and analytics industry.

Course Contents:

Module 1: Importing Datasets

  • Learning Objectives
  • Understanding the Domain
  • Understanding the Dataset
  • Python package for data science
  • Importing and Exporting Data in Python
  • Basic Insights from Datasets

Module 2: Cleaning and Preparing the Data

  • Identify and Handle Missing Values
  • Data Formatting
  • Data Normalization
  • Binning
  • Indicator variables

Module 3: Summarizing the Data Frame

  • Descriptive Statistics
  • Basics of Grouping
  • Analysis of Variance (ANOVA)
  • Correlation
  • Advanced Correlation Techniques

Module 4: Model Development

  • Simple and Multiple Linear Regression
  • Model Evaluation Using Visualization
  • Polynomial Regression and Pipelines
  • R-squared and Mean Squared Error (MSE) for In-Sample Evaluation
  • Prediction and Decision Making

Module 5: Model Evaluation

  • Model Evaluation
  • Over-fitting, Under-fitting, and Model Selection
  • Ridge Regression
  • Grid Search
  • Model Refinement

Note: The course content can be adjusted to meet specific learner requirements or regional variations. Additionally, practical exercises and real datasets from Indian industries can be incorporated to enhance relevance.

Upon successful completion of this Data Analysis with Python Skill Development Course, students will have the knowledge and practical skills needed for a fulfilling career in data analysis or the ability to start their own self-employment ventures in data analytics services. This course offers a strong foundation for individuals seeking opportunities in India's data-driven industries.

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