This two-day course is designed for those who analyse data or who are creating machine learning models, but who wish to firm their understanding in core concepts as well as expanding into types of data distributions, inferential statistics (hypothesis tests), statistical significance, and a deeper understanding of how linear regression works. It is expected that you will have experience with a programming language used for data analysis such as R or Python – if this is not currently the case we suggest completing one of our R or Pythonfor Data Handling courses.
As well as providing a business context to using core concepts such as averages, spread, and interpreting analyst visualisations, you will take this knowledge further and learn how distributions, sampling, and hypothesis testing can be used to analyse data in an organisation and in automatically highlighting significant results or anomalies.
If you are on a learning journey with Machine Learning and AI this course will give you a strong starting point in the statistical methods that underpin a large number of algorithms without overloading, you with too many mathematical formulae or notations that are otherwise commonly used to communicate advanced mathematics. Your focus will be on business problems and applying tools such as R that you will need as part of this journey.
Throughout the course you will engage with practical labs, activities, and discussions with one of our technical specialists. All modules involve the use of R to practice the techniques taught – setting you up to succeed in analysing, interpreting, and getting value from your data.
Anyone wishing to expand their understanding of Maths and Statistics related to Data Science. This course will provide all the required pre-requisite statistical knowledge needed for our more in-depth programmes.
Central Tendency, Variation, and Outliers - Using an appropriate software tool, calculate:
Visualisations and Skew - Using an appropriate software tool, create:
Introduction to Probability
Introduction to Distributions
Introduction to Hypothesis Testing
Linear Regression
Join our public courses in our Russia facilities. Private class trainings will be organized at the location of your preference, according to your schedule.