- 20 March 2024
- Wednesday, 1:00 PM to 4:00 PM
Led By
Jon Mathew
Data Science Management
Our Data Science program for working professionals offers a comprehensive understanding of data science and its applications. This will allow the participants to gain practical experience in applying machine learning to real-world problems with ethical considerations. The program emphasizes developing proficiency in interpreting results and communicating findings effectively across industries.
Program Objectives
- Acquire a solid understanding of the characteristics, challenges, and opportunities presented by large-scale datasets.
- Develop proficiency in collecting, cleaning, and analyzing large datasets using statistical techniques and programming languages.
- Gain experience in applying machine learning algorithms to real-world datasets, solving business problems, and making data-driven decisions with ethical considerations.
- Develop skills to interpret data analysis results, draw meaningful conclusions, and effectively communicate findings to both technical and non-technical stakeholders.
Lets Get Connected
4
3 Hours
On-site And Online Options Available
Quizzes, Assignments, Examinations, And Capstone Project Evaluation
$ 1000
According to Bryan Adelson, a consultant at Red Clover HR, understanding the underlying purpose behind performance management is crucial. Defining the value and desired outcomes of performance conversations enables organizations to structure them effectively, benefiting both employees and the organization as a whole
Benefits of the program
Learn advanced statistical methods and techniques for uncovering hidden patterns, trends, and correlations within complex datasets.
Master efficient data preprocessing techniques to streamline the data cleaning and preparation process, ensuring high-quality input for analysis and modeling.
Explore strategies for deploying machine learning models into production environments efficiently, ensuring scalability, reliability, and maintainability.
Understand methodologies for continuously monitoring and improving machine learning models over time, enhancing predictive accuracy and performance in dynamic business environments.
Program outline
- Session 1: Master Large-Scale Data Handling
- Session 2: Practical Application of Machine Learning
- Session 3: Ethical Data Science Practices
- Session 4: Effective Communication of Data Insights
