Business Internship Program
Learning business courses can provide numerous benefits and open up various opportunities. It's essential to choose courses that align with your interests and aspirations to maximise the value you gain from your education.
Month-1
Week-1
- Introduction to Business Analytics
- Understanding Applications of Business Analytics
Week-2
- Understanding the role of business analytics in decision-making
- Key concepts and terminology in business analytics
Week-3
- Understanding Methods for data collection (Survey and Interview Techniques)
- Understanding Methods for data collection (Web Scraping and Data Acquisition)
Week-4
- Data cleaning and preprocessing techniques
- Dealing with missing data and outliers
Month-2
Week-1
- Fundamentals of EDA
- EDA Techniques and Tools like Matplotlib and Seaborn
Week-2
- Data Visualization Techniques
- Extracting Insights and identifying patterns from data
Week-3
- Understanding Descriptive Statistics like (mean, median, mode, standard deviation, etc.)
- Descriptive Statistics Applications to describe central tendency, variability, and distribution of data
Week-4
- Probability Theory Basics (discrete and continuous distributions)
- Probability Distributions in Business Analytics
Month-3
Week-1
- Basics of Hypothesis Testing
- Other Hypothesis Testing Methods (t-tests, chi-square tests, etc.)
Week-2
- Understanding confidence intervals and p-values
- Practical applications of inferential statistics in business analytics
Week-3
- Fundamentals of Predictive Modeling
- Understanding Linear Regression Analysis
Week-4
- Understanding Logistic Regression Analysis
- Model Evaluation and Validation Techniques
Month-4
Week-1
- Understanding Time Series Data
- Understanding Time Series Data Preprocessing
Week-2
- Applications of time series analysis in business forecasting
- Overview of ARIMA Modeling (Autoregressive Integrated Moving Average) models for time series forecasting
Week-3
- Introduction to Machine Learning for Business Analytics
- Common Machine Learning Algorithms
Week-4
- Model Building and Evaluation
- Feature Selection and Engineering
Month-5
Week-1
- Understanding Big Data
- Big Data Technologies (Hadoop, Spark, etc.)
Week-2
- Data Handling Techniques in Big Data
- Analyzing Large Datasets with Distributed Computing
Week-3
- Understanding Fundamentals of Optimization
- Linear Programming (LP) and its applications
Week-4
- Intoduction to Integer Programming (IP) and its extensions
- Applications of Optimization in Business Decision-Making
Month-6
Week-1
- Intoduction to Advanced Visualization Concepts
- Understanding Tools for Advanced Data Visualization like Tableau or Power BI
Week-2
- Understanding Dashboard Design Principles
- Creating Interactive Dashboards
Week-3
- Application of Business Analytics Concepts (Data collection, preprocessing, analysis)
- Project Implementation (Developing a project plan and timeline)
Week-4
- Presentation Preparation (Crafting an engaging and informative presentation)
- Presentation and Reflection (Presenting the final project to mentors, peers, and stakeholders)