Data Science for Executives
Ascend to strategic mastery of Data Science with our executive-focused course. Engage with industry experts to harness powerful insights from your organization's data. Enroll now for transformative knowledge that drives decision-making.
Training Provider Pricing
Pax:
Features
Subsidies
What you'll learn
- Learn about the different types of analyses: descriptive, predictive, prescriptive.
- Master the stages of the data lifecycle including wrangling, modeling, and management.
- Grasp fundamental statistical concepts for robust data analysis.
- Discover effective strategies for data visualization and communication.
- Understand the historical context and current landscape of Data Science.
- Recognize the significance of data as a strategic business asset.
- Explore advanced model creation techniques and their applications in business.
- Identify best practices for operationalizing Data Science within an organization.
Why should you attend?
Data Science is revolutionizing the way businesses operate, making the understanding of its principles essential for executives. This course provides an in-depth look into the origins and evolution of Data Science, including the Big Data revolution and how organizations can leverage vast amounts of data. It delves into descriptive, predictive, and prescriptive analysis, illustrating how they transform raw data into actionable insights. Executives will learn about the value of data as a strategic asset, exploring the concepts of volume, velocity, variability, and veracity. The course also covers the entire data lifecycle from wrangling to exploratory data analysis (EDA), emphasizing the importance of high-quality data and robust analytical methods. Fundamental statistical concepts are demystified, enabling leaders to understand key metrics and visualization techniques that drive informed decisions. Advanced topics like model creation, validation, deep learning, and operationalization are discussed to demonstrate how cutting-edge analytics can be applied in real-world scenarios. Through case studies, participants will see examples of how predictive analytics and architectural choices impact operational efficiency.
Course Syllabus
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Ratings and Reviews
Why should you attend?
Data Science is revolutionizing the way businesses operate, making the understanding of its principles essential for executives. This course provides an in-depth look into the origins and evolution of Data Science, including the Big Data revolution and how organizations can leverage vast amounts of data. It delves into descriptive, predictive, and prescriptive analysis, illustrating how they transform raw data into actionable insights. Executives will learn about the value of data as a strategic asset, exploring the concepts of volume, velocity, variability, and veracity. The course also covers the entire data lifecycle from wrangling to exploratory data analysis (EDA), emphasizing the importance of high-quality data and robust analytical methods. Fundamental statistical concepts are demystified, enabling leaders to understand key metrics and visualization techniques that drive informed decisions. Advanced topics like model creation, validation, deep learning, and operationalization are discussed to demonstrate how cutting-edge analytics can be applied in real-world scenarios. Through case studies, participants will see examples of how predictive analytics and architectural choices impact operational efficiency.
What you'll learn
- Learn about the different types of analyses: descriptive, predictive, prescriptive.
- Master the stages of the data lifecycle including wrangling, modeling, and management.
- Grasp fundamental statistical concepts for robust data analysis.
- Discover effective strategies for data visualization and communication.
- Understand the historical context and current landscape of Data Science.
- Recognize the significance of data as a strategic business asset.
- Explore advanced model creation techniques and their applications in business.
- Identify best practices for operationalizing Data Science within an organization.
Course Syllabus
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
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