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Statistics for Data Science Course

Acquire the skills needed in extracting meaningful insights from complex data sets. Through this course you will acquire technical skills that makes acquiring inferences from enormous amounts of data easier. You will learn all the foundations of statistics relevant to data analytics and data science. You will move from zero to hero in two weeks.

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Position Vacant

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Price

KES 28,500.00

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Offering the right insights into patterns, trends, predictions, and decision-making, statistics for data science is valuable for testing hypotheses, quantifying uncertainties, and contributing to robustness and analysis reliability. You will cover two fundamental statistics concepts that play a key role in data science which are descriptive and inferential statistics.

Our selection of Statistics for Data Science courses aims to provide quality training for everyone—from individual learners seeking personal growth to corporate teams looking to upskill. For those pursuing professional advancement, skill acquisition, or even a new career path, Statistics for Data Science course can be a valuable resource. You will gain high-quality statistics training from top industry practitioners.

Requirements

Needed For Course Admission

  • Ability to study online
  • Critical thinking skills
  • Planning Skills
  • Communication Skills
  • Online Application
  • Have stable internet connectivity
  • Have a laptop (core i5 upwards, 8GB RAM, 500GB Hard-disk)
  • Student registration fee of KES 2,500.00

Learning

Value for Your Money

  • Introduction o Statistics
  • Central Limit Theorem
  • Parameter Vs Statistics
  • Sampling
  • Research
  • Descriptive Statistics
  • Inferential Statistics
  • Hypothesis Testing

Are you looking for a practical and locally contextualized data science learning path? We are proud to say that our program has been designed to propel your career growth, personal ambitions and progress as well as to strengthen your technical skills and confidence in acing employment interviews while solving local socio-economic and business problems thus creating the desired impact.

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