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.
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.
