What You Need to Know Before
You Start
Starts 3 July 2025 21:23
Ends 3 July 2025
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Days
00
Hours
00
Minutes
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Seconds
2 hours 4 minutes
Optional upgrade avallable
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Paid Course
Optional upgrade avallable
Overview
A Data Science Training course for Executives is a course designed to provide business leaders with an understanding of the fundamental concepts and applications of data science. The course covers key topics such as data analysis, data visualization, machine learning, and big data technologies.
The goal of the course is to equip executives with the skills and knowledge they need to make informed decisions about data-driven initiatives within their organizations.
Syllabus
- Introduction to Data Science
- Fundamentals of Data Analysis
- Data Visualization Techniques
- Introduction to Machine Learning
- Big Data Technologies
- Implementing Data Science in Business
- Ethical Considerations and Data Governance
- Making Data-Driven Decisions
- Capstone Project
- Course Conclusion and Future Trends
Definition and scope of data science
Importance of data-driven decision-making
Overview of course objectives and outcomes
Types of data and data sources
Data cleaning and preprocessing
Descriptive statistics and exploratory data analysis
Principles of effective data visualization
Common tools and software for visualization
Case studies and examples of impactful visualizations
Basic concepts and terminology
Overview of machine learning algorithms
Applications of machine learning in business
Understanding big data and its challenges
Introduction to Hadoop and Spark
Cloud computing and data storage solutions
Identifying data-driven opportunities
Building a data-driven culture
Case studies on successful data science initiatives in businesses
Data privacy and security issues
Ethical use of data and AI
Regulatory compliance and guidelines
Translating data insights into strategic actions
Communicating results to stakeholders
ROI measurement and impact assessment of data initiatives
Practical application of course concepts
Development of a data strategy for a hypothetical business scenario
Presentation and feedback session
Recap of key learnings
Emerging trends in data science
Resources for continued learning and development in data analytics and science
Taught by
DMSA Training
Subjects
Data Science