Big Data

Data Science in Practice

Learn how to analyze data to gain insights, develop new strategies, and cultivate actionable business intelligence in areas as diverse as social media mentions, research design, product design, marketing, and finance.

Key learning outcomes

  • How to prepare data, deal with missing data and create custom data analysis solutions for different industries
  • What machine learning is and how it is related to statistics and data analysis
  • Learn data investigation, including data wrangling, cleaning, sampling, management, exploratory analysis, regression and classification, prediction, and data communication.
  • Implement basic concepts of data computation  such as data structure, algorithms, parallel computing, simulation, and analysis.
  • Leverage your knowledge of key subject areas, such as game theory, statistical quality control, exponential smoothing, seasonally adjusted trend analysis, or data visualization.

What Next: Contact us for the class schedule in Nairobi or a city near you.

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