Preferred learners
- Anywhere
- Academic experience
Categories
Project scope
- What is the main goal for this project?
-
The main objective of this project is to provide actionable insights and data-driven recommendations to enhance the operational efficiency and decision-making processes of a company engaged in book publishing, promotion, and distribution. Through advanced data analysis and machine learning techniques, the project aims to deliver tailored solutions that optimize various aspects of the company's operations, ultimately contributing to its overall business success and growth.
- What tasks will learners need to complete to achieve the project goal?
-
Learners will:
- Conduct Exploratory Data Analysis (EDA) to understand patterns and trends in sales, marketing, and distribution data.
- Implement feature engineering techniques to enhance predictive modeling.
- Cleanse and preprocess the data to ensure its readiness for analysis.
- Develop forecasting models using regression and classification techniques.
- Create a recommendation model based on customer and supplier data.
- Present their findings through a Jupyter Notebook with Python code, providing a comprehensive analysis and actionable insights for the company.
- What is the main goal for this project?
-
The main objective of this project is to provide actionable insights and data-driven recommendations to enhance the operational efficiency and decision-making processes of a company engaged in book publishing, promotion, and distribution. Through advanced data analysis and machine learning techniques, the project aims to deliver tailored solutions that optimize various aspects of the company's operations, ultimately contributing to its overall business success and growth.
- What tasks will learners need to complete to achieve the project goal?
-
Learners will:
- Conduct Exploratory Data Analysis (EDA) to understand patterns and trends in sales, marketing, and distribution data.
- Implement feature engineering techniques to enhance predictive modeling.
- Cleanse and preprocess the data to ensure its readiness for analysis.
- Develop forecasting models using regression and classification techniques.
- Create a recommendation model based on customer and supplier data.
- Present their findings through a Jupyter Notebook with Python code, providing a comprehensive analysis and actionable insights for the company.
- How will you support learners in completing the project?
-
Access to Data
The dataset from the company involved in book publishing, promotion, and distribution will be made available to learners. Clear documentation on the dataset structure and characteristics will be provided to facilitate their analysis.
- What skills or technologies will help learners to complete the project?
-
- Python Programming/ R Programming
- Data Visualization
- Statistical Analysis
- Machine Learning Algorithms
- Data Cleaning and Preprocessing
- Time Series Forecasting
- Feature Engineering
- Recommendation Modeling
Supported causes
About the company
- https://edusyte.com
- 0 - 1 employees
- It & computing, Science, Technology
At Edusyte, we are dedicated to fostering Enterprise Digital Uplift and delivering Systematic Technology Education. In a rapidly evolving digital landscape, we serve as catalysts for businesses and individuals, empowering them to not just navigate, but thrive.
At the core of our offerings is Edusyte E-Retail – an advanced WooCommerce Hosting Solution meticulously designed to elevate online businesses. From ensuring seamless operations to providing comprehensive Digital Marketing services and streamlined Business Records Automation, Edusyte sets an unparalleled standard for efficiency and innovation.
We also Data Science and Artificial Intelligence enabling businesses to harness the true power of information and maintain a competitive edge. Our unwavering commitment extends to continuous learning, exemplified through specialized training programs, such as digital skills training. These programs are crafted to ensure that individuals are not just prepared but exceptionally well-equipped to navigate and succeed in today's dynamic business environment.