Business Analytics Internship Program

Duration: 30 Days (20 Days Offline Training + 10 Days Remote Project Work)

Course Overview:

This intensive 30-day bootcamp is tailored to provide students with comprehensive knowledge and practical skills essential for a career in business analytics. The program comprises 20 days of immersive offline training followed by 10 days of remote project work sourced from codebeat partnered companies. Throughout the course, participants will delve into fundamental concepts, tools, and techniques in business analytics, supplemented by hands-on experience through real-world projects.

Curriculum:

Week 1-2: Foundations of Business Analytics

Day 1-2: Introduction to Business Analytics

• Overview of business analytics
• Applications across various industries
• Role delineation of a business analyst

Day 3-4: Data Fundamentals

• Understanding structured and unstructured data
• Data types and sources
• Basics of data collection and storage

Day 5-6: Data Cleaning and Preprocessing

• Techniques for data cleaning
• Handling missing data and outliers
• Preprocessing methodologies for data analysis

Day 7-8: Exploratory Data Analysis (EDA)

• EDA techniques
• Utilization of visualization tools and libraries
• Extracting actionable insights from data

Day 9-10: Statistical Foundations

• Descriptive and inferential statistics
• Probability distributions
• Introduction to hypothesis testing

Week 3-4: Advanced Analytics and Machine Learning

Day 11-12: Regression Analysis*

• Simple and multiple linear regression
• Non-linear regression methods
• Evaluation and interpretation of models

Day 13-14: Classification Techniques

• Logistic regression
• Decision trees and random forests
• Metrics for evaluating classification models

Day 15-16: Clustering and Dimensionality Reduction

• K-means and hierarchical clustering
• Introduction to dimensionality reduction techniques like PCA

Day 17-18: Time Series Analysis

• Concepts of time series data and components
• Forecasting methodologies
• Analyzing seasonality and trends

Day 19-20: Introduction to Machine Learning

• Core concepts of machine learning
• Differentiating between supervised and unsupervised learning
• Development of predictive models

Week 5-6: Remote Project Work

Day 21-30: Remote Project Work (Outsourced from codebeat Partnered Companies)

• Participants will engage in remote project work on real-world assignments provided by codebeat partnered companies.
• Projects encompass diverse areas such as data analysis, predictive modeling, and business intelligence.
• Application of acquired skills and knowledge to tackle practical challenges and deliver actionable insights to the companies.
• Continuous mentorship and guidance from instructors during the project duration.

Assessment:

• Evaluation during offline training through quizzes, assignments, and practical exercises.
• Assessment of remote project work based on deliverables, analytical quality, and effectiveness of insights provided.
• Final evaluation considering overall performance and active participation throughout the course.

Certification:

Upon successful completion of the Internship, participants will receive a certificate acknowledging their proficiency in business analytics and project experience gained through codebeat partnered companies.

Note:

The curriculum is adaptable to accommodate the needs of participants and the dynamic landscape of business analytics.